---
title: Confidence by Spotify Reviews
meta_title: 'Confidence by Spotify Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 56 reviews by the users' company size, role or industry to
  find out how Confidence by Spotify works for a business like yours.
aggregate_rating:
  rating_value: 4.6
  review_count: 56
  scale: '5'
date_modified: '2026-08-27'
parent_category:
  name: Conversion Rate Optimization Tools
  url: https://www.g2.com/categories/conversion-rate-optimization-tools
---


# Confidence by Spotify Reviews
**Vendor:** Spotify  
**Category:** [A/B Testing Tools](https://www.g2.com/categories/a-b-testing-tools)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 56  
**AI Enabled:** This product embeds AI to enhance or extend its core functionality.
## About Confidence by Spotify
Confidence is an experimentation and feature flagging platform developed by Spotify, designed to assist software and product teams in conducting experiments and making data-informed decisions at scale. Leveraging over a decade of experience in A/B testing infrastructure, Confidence provides a robust framework for teams looking to optimize their product features and user experiences through systematic experimentation. The platform is particularly beneficial for development teams, product managers, and data analysts who are keen on enhancing their decision-making processes through empirical evidence. By facilitating A/B testing and gradual rollouts, Confidence allows teams to test new features and modifications in a controlled manner, ensuring that changes are based on real user feedback rather than assumptions. This approach not only minimizes risks associated with feature launches but also fosters a culture of continuous improvement within organizations. Key features of Confidence include its advanced feature flagging capabilities, which enable teams to control user experiences remotely without the need for code deployments. This flexibility allows for rapid iterations and adjustments based on user interactions and feedback. Additionally, the platform&#39;s data warehouse-native architecture ensures seamless integration with existing data systems, providing teams with comprehensive insights into user behavior and engagement metrics. Built on OpenFeature, Confidence offers a vendor-agnostic solution for feature flagging, eliminating concerns of vendor lock-in and allowing teams to maintain control over their experimentation processes. The platform&#39;s feature flags are available at no cost, making it accessible for any team interested in adopting a data-driven approach to experimentation. By utilizing Confidence, teams can enhance their ability to innovate and respond to user needs effectively, ultimately leading to improved product outcomes and user satisfaction. The combination of powerful experimentation tools and a commitment to data integrity positions Confidence as a valuable resource for organizations aiming to elevate their product development strategies.




## Confidence by Spotify Reviews
  ### 1. Confident A/B Test Decisions with Guardrails and Exposure Metrics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Kishore B. | Product Manager, Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through Google using a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

1. We can be sure that if there is significant result, then we can release the ab test variant winner without any worry
2. Like the usage of having guardrail metrics to be safe.
3. Ability to have exposure metrics helps me track only the result you need.

**What do you dislike about Confidence by Spotify?**

1. It is very difficult to get significant result with less number of trigger such as premium purchases. I think it would be good to modify algorithm a bit to avoid requiring too many users to be part of ab test to get significant results.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

1. Helps us analyse which variant to roll out with significancy
2. Gives us flexibility to have different variants and also keep the variant for users even in case of pausing ab test with help of sticky assignments.

  ### 2. Transparent, Trustworthy Experiment Analytics

**Rating:** 5.0/5.0 stars

**Reviewed by:** Johan B. | Product Analyst, Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** August 20, 2026

**What do you like best about Confidence by Spotify?**

The transparency. I came to Confidence fairly new to it, and what struck me first was how quickly it made sense. Within days I understood how it worked, and I've never had to keep a mental list of quirks and workarounds to get a correct answer out of it.<br><br>By seeing exactly which units were assigned, when, and under which rule, and follow that straight through to the metric, Confidence also makes it easy to put trust in the numbers, instead of have to take it on faith. When something looks wrong, the path is right there to trace.<br><br>Cohort segmentation is simple and understandable, and it fits naturally with how we already track behavior. So when an experiment or a rollout is finished, we can get to the answer straight away instead of spending days preparing the data first. That holds whether it's a straight A/B test or a gradual rollout.<br><br>The review and comment flow has also made it much easier to work together on experiments. The discussion about metrics and design happens on the experiment itself, so the reasoning stays attached to the thing it belongs to instead of scattered across chat threads. It means people come to the analytics team earlier, while the design can still be changed, and everyone can see what was decided and why.

**What do you dislike about Confidence by Spotify?**

Nothing really comes to mind, more features are being built into the product continuously and it keeps getting better and better

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Structuring of experiments and feature flagging in a single centralized place, which aids collaboration between teams. It also provides a simple, transparent overview of what is currently ongoing in the product and helps us relate this to changes in user behavior

  ### 3. First-Class, Server-Side Experiment Assignment with Deterministic Bucketing

**Rating:** 4.0/5.0 stars

**Reviewed by:** Anup M. | Engineering Manager, Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through Google One Tap using a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 24, 2026

**What do you like best about Confidence by Spotify?**

Honestly, the thing I'd rank first is that it treats experiment assignment as a first-class, server-side concern rather than a client-side afterthought. The resolver/flag model means you can do assignment in backend services with deterministic bucketing, which matters a lot for the kind of experiments you run — payment retry schedules aren't something you can toggle in a frontend SDK.

**What do you dislike about Confidence by Spotify?**

Debuggability of the exposure pipeline is the big one. When assignments and exposures disagree — exactly your ABExp03 situation — the platform tells you that there's a sample ratio mismatch but gives you very little tooling to diagnose why. You end up manually reconciling backend assignment logs against exposure events in the warehouse, which is tedious and error-prone. A built-in assignment-vs-exposure reconciliation view would save days of investigation.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Trustworthy server-side experimentation. We run experiments on backend billing logic — currently a payment retry schedule test — where assignment has to happen in services, not the client. Confidence gives us deterministic server-side assignment with proper flag management, so treatment logic lives where the billing decisions actually happen.

  ### 4. Standardizes A/B test process, good tool. Biggest opportunity: easier to make mental model

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 23, 2026

**What do you like best about Confidence by Spotify?**

The platform builds on our own data warehouse, which pushes us to build proper data products and manage the data upstream, rather than sending separate datasets into the platform.

Statistics are handled consistently across tests, instead of relying on individual Python notebooks and hands-on analysis by a data scientist, which can easily create bottlenecks and lead to low reproducibility.

Overall, the platform encourages our data organization and teams to formalize A/B testing processes.

**What do you dislike about Confidence by Spotify?**

The abstractions and entities in the ecosystem make it challenging to build a personal mental model of the whole system. One of the selling points is that it makes A/B testing easier by removing some details and adding fail-safes to the process, but in doing so it introduces a new layer of abstraction. If the platform is meant to be easy to learn and to onboard new teams onto, why is the bootcamp so long?

The UI/UX is pretty good in terms of visual design and UI components, but it’s lacking when it comes to giving users a strong overview. It suffers from some similar challenges to Google Tag Manager, for example: it’s easy to inspect individual Metrics, Tests, and Fact Tables, but hard to get the big picture. It’s also difficult to see connections at a glance, or to edit, rename, or archive things in bulk. On top of that, it’s not always clear what metadata exists around what’s being used by which team, and it’s hard to establish and maintain consistent naming syntax across teams.

Finally, the mix of very clear SQL tables that you own yourself with harder-to-grasp calculations layered on top—plus Confidence entities created in the GUI such as Fact Tables, Dimension Tables, Metrics, etc.—can sometimes lead to a semi-black-box feeling about what’s really going on. This can be improved through clearer mental models and some trial-and-error, but there’s probably a lot of potential to make it more transparent directly in the GUI, and through more visual, example-driven documentation.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

A platform for A/B testing that uses feature flags and data products from many sources that we control. The alternative would be to build something similar ourselves or use a similar tool.

  ### 5. Statistically Sophisticated Testing with Seamless BigQuery Metrics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through LinkedIn

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 22, 2026

**What do you like best about Confidence by Spotify?**

The tool is more statistically sophisticated than the previous tool we were using (firebase). It can calculate the sample sizes required to detect metric movements, and it also lets us add multiple metrics, either as success metrics or as guardrails.

Because the metrics are derived from our bigquery events, it’s seamless to do follow-up investigations. After designing the test, we can largely rely on the red/green status and don’t have to manually check the results each time.

The UI/UX does a good job of capturing the hypothesis and the UI variants, and the dashboards load fast.

**What do you dislike about Confidence by Spotify?**

For someone without a statistical background, understanding some of the technical terms can be difficult. More in-context explanations of NIM, metric variance, and similar concepts would be helpful. In some places there are multiple legend labels- like “Has deteriorated, has not deteriorated, powered, significant or not” - which can be confusing for non-technical product folks.

We also tend to run the same test across different geos. Right now we have to duplicate tests for each geo and then check the results individually. On top of that, the metrics in these tests aren’t arranged consistently, which makes comparisons harder. It would be much better if related tests could be grouped together.

The UI has a few small issues as well. For example, adding an owner filter doesn’t show results, but adding owner plus status does show results.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It has made testing much easier and has also helped evangelise a stronger testing culture across the company. 

In our team it has helped iterate with multiple ideas to improve a metric and get confident results to take decisions. By keeping both success and guardrail metrics we can move the discussion to consider trade-offs instead of arguing about a single metric.

  ### 6. Easy, Statistically Sound A/B Testing—But Click-Ops Slows Bulk Changes

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

Confidence makes it quite easy to set up A/B tests and analyse them properly from an statistical standpoint. 
It makes sure that I don't accidentally make bad statistical choices. This is done by design of the system.
It is easy for non-analytical teams to setup an A/B test. They need to create a flag in their customer facing interface, then almost everything can be handled from Confidence afterwards. It handles the randomness and analysis. This alleviates quite a bit of effort from me as a data scientist.

**What do you dislike about Confidence by Spotify?**

Confidence is built as a click-ops tool. This makes it difficult to perform actions in bulk
For example when one needs to mass change metric names or source, one has to click their way through all metrics that use the source. 
This click-ops interface also makes it difficult to perform meta-analyses of AB-tests. Say I want to estimate how much we can affect a certain metric in experiments, then I need to manually find all uses of the metric and then manually extract the results to perform the meta analysis.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We use Confidence for AB-tests and rollouts. Each team should be able to autonomously launch experiments and rollouts with as little support from a central team as possible. Confidence helps the autonomous teams to do experiments themselves and still draw correct statistical conclusions without having to be data analysts.

  ### 7. Easy Experimentation with speed and rigor

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

What stands out is how easy it is to run experiments while retaining full user-level traceability for deeper investigation when needed. The segmentation capabilities are powerful, the UI/UX is clean and intuitive, and the platform integrates well with a range of systems. Performance is top-notch, and the team behind it is genuinely engaged — responsive to requests, with a smooth onboarding experience and great support throughout.

**What do you dislike about Confidence by Spotify?**

Honestly, nothing to dislike. Anything we've flagged has been more in the spirit of product feedback — we share it continuously, and the team genuinely works on it.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence solves the core challenge of running trustworthy A/B experiments at scale. Before, setting up experiments, tracking exposures, and interpreting results reliably required significant manual effort and statistical expertise. Confidence streamlines the entire workflow — from flag-based rollouts and exposure tracking to automated statistical analysis of success and guardrail metrics — so we can make ship/no-ship decisions with confidence rather than guesswork.

The biggest benefit is speed and rigor at the same time: teams can launch experiments quickly, monitor guardrails (like performance or stability regressions) in real time, and get statistically sound readouts without needing a statistician in the loop for every test. The full traceability down to user-level exposures also means we can always dig deeper when a result looks surprising. Overall, it has raised the quality of our decision-making while lowering the barrier to experimentation.

  ### 8. Intuitive, Warehouse-Native Experimentation That Speeds Decisions

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

What I like best is how intuitive the platform is to work with day to day — setting up and reading experiments doesn't require wrestling with the tooling, so the barrier to launching a test is low across the team. The biggest win for us is that Confidence connects directly to our data warehouse, which means results land fast and we can make decisions without waiting on a separate data pull or manual pipeline. On top of that, the sequential testing approach is a real step up from traditional fixed-horizon A/B testing: we can monitor experiments as data accumulates and call them as soon as there's a clear signal, rather than committing to a fixed sample size upfront. That combination — intuitive UX, warehouse-native data, and sequential methodology — has meaningfully shortened our time from hypothesis to decision.

**What do you dislike about Confidence by Spotify?**

The main friction points for us are documentation and metric flexibility. The docs are thin in places, so figuring out how to do something less common often means trial and error or reaching out rather than just looking it up. The bigger limitation is that we can't fully customise how metrics are calculated — things like percentiles or retention rate aren't well supported natively, so we end up computing those outside Confidence and bringing them back in. That extra step adds work and makes some analyses clunkier than they should be. Better documentation and more flexible custom metric definitions would close most of the gap for us.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Before Confidence, we essentially weren't running experiments — shipping decisions were made on intuition and whatever analysis someone could pull together ad hoc. Confidence solved the tooling and process gap that was keeping us from testing in the first place. We've gone from effectively zero A/B tests to running experiments as a standard part of shipping, and the bigger shift is cultural: it's helped us build an experiment-first mindset, where the default question before we ship something is "how do we test this?" rather than "does this feel right?" Having warehouse-connected results and a low-friction setup is what made that scale possible — testing stopped being a special effort and became the normal way we work. The benefit isn't just more tests; it's that more of our decisions are now grounded in evidence rather than assumption.

  ### 9. An intuitive experimentation platform that makes data-driven decisions easier

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Online Media | Enterprise (> 1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

What I like most about Confidence is how intuitive and easy it is to use. It gives product teams a high level of autonomy by centralizing all the key KPIs and metrics in a single place, making them accessible and understandable for everyone involved.

The platform also provides a very clear view of experiments, their associated metrics, and, most importantly, the results. It makes interpreting A/B test outcomes much easier, allowing teams to quickly understand whether a change has had a meaningful impact.

Over the past year, the product has evolved significantly with many valuable new features. Each improvement has made it easier to launch, monitor, and analyze experiments, helping teams make faster and more informed decisions based on data. Ultimately, Confidence has become an essential tool for building better products through a strong experimentation culture.

Finally, I'd like to highlight the incredible support from the Spotify team. Whenever we've encountered an issue or had questions, they've always been quick to respond and incredibly helpful. Their responsiveness and commitment to improving the product have made a real difference in our experience using Confidence. A big thank you to the team for all their support!.

**What do you dislike about Confidence by Spotify?**

One area that could be improved is metric organization. As the number of metrics grows, it becomes increasingly difficult to navigate and find the right one. Having better ways to organize, group, or archive metrics—and reducing the need to duplicate them for simple changes such as category updates—would make the platform much easier to maintain.

As a Data Analyst, I would also appreciate more flexibility when creating and exploring metrics. Today, the metric creation process is very product-oriented, which is great for governance, but there are cases where being able to write a simple SQL query or define an ad hoc metric would be much faster and more efficient for analysis. Providing advanced users with this kind of flexibility, while keeping the existing workflow for standard metrics, would make the platform even more powerful.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence has helped us build a much stronger experimentation culture by making A/B testing accessible to both Product Managers and Data Analysts. It centralizes our KPIs, metrics, and experiment results in a single platform, ensuring everyone works from the same source of truth.

Before using Confidence, analyzing experiments required much more manual work and it was often difficult for non-analytical stakeholders to interpret the results. Confidence simplifies this process by presenting clear experiment outputs and statistical insights, making it much easier for teams to understand the impact of a feature and make informed decisions.

The platform has also significantly improved the way we launch and monitor experiments. With its continuous improvements and new features, we can iterate faster, spend less time on operational tasks, and focus more on generating insights. Ultimately, this allows us to make better product decisions based on reliable data and build better experiences for our users.

  ### 10. Statistically Rigorous A/B Testing with Strong SDKs and BigQuery Integration

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

- The statistical rigor is the biggest win; specifically built in sample sizing, sequential analysis & health checks like SRM detection make our tests far more trustworthy than our previous AB testing tools. 
- SDK coverage is equally strong: client side and server side SDKs let us run FE and BE experiments through one platform. 
- The UI guides teams through a coherent flag → metrics → results workflow, which makes the right experimental setup the easy path even for non-experts. 
- Integration with our data warehouse is a standout; metrics are defined on fact tables built from our own BigQuery data, so results are computed on data we already trust rather than a vendor's black-box tracking. 
- Really appreciate the updates/ iterations in documentation and support the team offers.

**What do you dislike about Confidence by Spotify?**

- Some UI workflows fight you: the sample-size calculator requires selecting a flag filter, which creates a chicken & egg for brand new flags with no assignment history (you end up borrowing a comparable flag's traffic as a workaround). 
- And because a power calculation isn't mandatory to launch, it's easy for teams to skip it entirely. 
- The fact table model is powerful but rigid: once metrics are built on a table, you can't edit its columns from the UI, so a wrong entity/grain choice early on means rebuilding tables and re-reviewing PRs. Changing the randomisation entity after the fact is similarly painful. 
- There's little built in guidance or automation to catch design flaws (wrong exposure filter, underpowered primary) before launch; that burden still falls on experimentation experts.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Before Confidence, experimentation at Truecaller was quite fragmented-feature flagging, exposure tracking, and results analysis lived in separate places, and statistical quality depended heavily on individual analysts. Many tests launched without proper power calculations, and ambiguous or underpowered results led to weeks of wasted runtime and debates over whether a flat result meant no effect or no sensitivity. Confidence solves this by unifying flag delivery, exposure tracking, and analysis in one platform, with the statistics (sequential analysis, sample sizing, SRM checks) built in rather than bolted on. Metrics defined on fact tables from our own warehouse mean results are computed on data we already trust. The benefit is faster, more defensible ship/no-ship decisions across a 450M+ user base, a shared experimentation workflow that scales beyond a handful of experts & fewer uninterpretable tests which directly translates to less wasted engineering time and safer rollouts of sensitive features.

  ### 11. Simple, Clean UI That Makes High-Volume Testing Easy

**Rating:** 5.0/5.0 stars

**Reviewed by:** Mikael A. | Senior Product Manager, Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 22, 2026

**What do you like best about Confidence by Spotify?**

Simplicity and clean ui makes it easy to work with tests in volume. It was easy to integrate with our existing data warehouse and any client integrations was also easy. Pricing was superior. Great onboarding.

**What do you dislike about Confidence by Spotify?**

The product is opinionated on how you should be running good tests which is good but sometimes these opinions aren't always clear and you realize to late like for example why success metrics will have an alpha penalty when you have multiple. It makes sense but it is not very clear.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence has solved doing experiments at scale and fast pace using datawarehouse metrics for us. We are doing more and better experiments.

  ### 12. Ensure that you can experiment and ship features confidently in a science-backed way

**Rating:** 5.0/5.0 stars

**Reviewed by:** Oscar W. | Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through Google using a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 09, 2026

**What do you like best about Confidence by Spotify?**

We run all of our growth experiments through Confidence and it's been really solid. The stats engine does the heavy lifting and gives clear conclusive/inconclusive calls, so we spend our time on hypotheses instead of arguing about statistics. Their support deserves a special mention, it's some of the best I've experienced from any vendor. Fast, knowledgeable, and they actually care about getting your setup right. Their AI agent is also surprisingly good at answering complex methodology questions. On top of that, the MCP server works great with our workflows and makes it easy to manage flags.

**What do you dislike about Confidence by Spotify?**

Honestly, very little. We haven't hit anything that blocked an experiment or slowed the team down. The only thing I would mention is that I'd like to be able to duplicate an A/B test or rollout which doesn't seem possible today! Along the same lines, A/B test templates could be cool!

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We came from Split, which felt very limited for our needs, and Confidence has been a big step up. We can set up a test, define our metrics and guardrails, and actually trust the results without second guessing the math. It also makes tradeoffs visible. We've had experiments where the main metric improved but a guardrail took a hit, and having both surfaced clearly made the rollout decision much easier to reason about. The net effect is that we ship more experiments and make faster decisions, because the platform handles the statistical rigor for us.

  ### 13. Great tool that allows you to focus on delivering fast results and quantifiable impact .

**Rating:** 5.0/5.0 stars

**Reviewed by:** Maxwell M. | Mid-Market (51-1000 emp.)

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 09, 2026

**What do you like best about Confidence by Spotify?**

What I like the most about it is that it quickly does the hard part for you. It connects all the important parts of experimentations into one place where you can understand results of experiments, explore, and implement.

**What do you dislike about Confidence by Spotify?**

Its a great tool with many features, this in turn can be overwhelming for non data savy users. There can be too many customisation options that it can make it hard to get started. However it is a great tool once you have read all the documentation and used it.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It is solving the problem of having to build from the ground up and experimentation system and upkeep. While you can build an inhouse system this would require a lot support and the quality is not assured to be as good as Confidence. Confidence allows teams that want to understand their impact on their product choices to deliver fast and safely

  ### 14. A trustworthy, no-nonsense, opinionated experimentation platform

**Rating:** 5.0/5.0 stars

**Reviewed by:** Theo M.

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

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**Reviewed Date:** June 25, 2026

**What do you like best about Confidence by Spotify?**

It is very clear that the confidence team has deliberately decided to nail the fundamental features with a clear goal in mind - everyone should be able to plan, run and analyse experiments without having to rely on a data scientist - which is exactly what has happened at Mentimeter. Now that teams are able to self serve the execution, data scientists/analysts are able to focus on finding opportunities and estimating impact.

I highly value the research based heuristics that are embedded in the experimentation platform, it gives a clear signal on when to ship and when not to.

Thanks to their commitment to OpenFeature compatible SDKs, feature flag implementations are super smooth and vendor lockin is reduced.

Last but not least, the support from the Confidence team has been instrumental, everything from statistical concepts, metric design and technical troubleshooting is usually less then an hour away.

**What do you dislike about Confidence by Spotify?**

Nothing to be honest but I would love to see CMS-integration in the future to enable content designers to easily run experiments without developer intervention.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Making feature management and experimentation self serve which has immensely increased adoption.

  ### 15. The Most Reliable AB Testing Platform We've Used

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software

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**Reviewed Date:** June 25, 2026

**What do you like best about Confidence by Spotify?**

We've been using Confidence for the past two years, and it's become an essential part of our experimentation workflow. It allows us to run multiple experiments in parallel with confidence, and for the first time, we truly feel we can trust the results of our AB tests.

Beyond the product itself, the Confidence team has been incredibly supportive and responsive whenever we've needed help. Their partnership has made adoption smooth and successful.

Overall, Confidence is the best experimentation platform we've used, and we'd highly recommend it to any team serious about running reliable, scalable experiments.

**What do you dislike about Confidence by Spotify?**

Honestly, we don't have any major complaints after using Confidence for the past two years. The product has been reliable, the experimentation capabilities are excellent, and the support team has consistently been responsive and helpful.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence solves one of the biggest challenges in experimentation: flexibility. Unlike many experimentation platforms, it's modular and doesn't force you into a single way of working. We were able to integrate it with our existing data infrastructure, choose the statistical methods that best fit our needs, and adapt it to our experimentation workflow rather than changing our workflow to fit the tool.

That flexibility, combined with reliable experiment analysis, has made it much easier for us to scale experimentation.

  ### 16. Finally, a platform that's just right

**Rating:** 5.0/5.0 stars

**Reviewed by:** Omar M.

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**Reviewed Date:** June 24, 2026

**What do you like best about Confidence by Spotify?**

It's "just right". Confidence has all the right features and none of the bloat. Before we found it, we cycled through countless products, and there was always something broken, missing, or some use case they couldn't handle no matter how much extra patchwork we threw at it. With Confidence, everything "just worked".

We run all our feature flagging and experimentation on Confidence. The architecture is solid and gives you the right tools you need to run reliable experiments at scale. The seamless warehouse integration saves us huge amounts of time on experiment analysis, and it works really well with our event streams, so we can set up guardrails and metrics without any ETL. Being able to deploy sidecars on our own infrastructure has given us real control over our scalability and uptime.

Being able to have reviews and comments on experiments has been fantastic for our analysts, helping others across the org avoid mistakes and making it far more scalable and self-service to set up experiments company-wide. We're now also exploring Confidence's MCP to automate our entire experimentation setup.

We were an early adopter and the Confidence team has been amazing at responding to our feedback and watching how much they've improved it over the past years has been inspiring. They are a passionate group of people who continue to build a really well thought-out product.

**What do you dislike about Confidence by Spotify?**

I'm not sure I have any, we have everything we need to be honest

**What problems is Confidence by Spotify solving and how is that benefiting you?**

The core problem Confidence solves for us is running experiments and rolling out features at scale — including targeting specific user cohorts with features and content. 

It allows us to do this with self-service tooling and easy collaboration, which means teams can move independently. For many of our teams, it's become essential to how they operate day to day.

  ### 17. Efficient A/B Testing with Stellar Support

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jeremy G. | Freelance Symfony, Small-Business (50 or fewer emp.)

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**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

I love that the local resolver in Confidence by Spotify allows enrolling users in feature flags with zero latency. The administration for managing feature flags and A/B tests is packed with tons of useful features and is well presented. I find the documentation very well made, packed with tons of answers, which makes the tool easy to understand and build onto. The support and the team behind Confidence are super sharp and always there to help with any problems. The initial setup was really easy, and even though learning to make proper metrics was harder, that's kind of expected.

**What do you dislike about Confidence by Spotify?**

Nothing in particular, to be honest

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence by Spotify helps us enroll users in feature flags with zero latency and manage A/B tests effectively, thanks to a local resolver and a great admin interface full of useful features.

  ### 18. It's a great platform in which improves constantly!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Banking

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**Reviewed Date:** June 23, 2026

**What do you like best about Confidence by Spotify?**

Confidence tries to keep the statistical details on a reasonable level, if you don't have too deep knowledge within statistics you can still use the platform since you get alerts and recommendations which tells whether your feature should be shipped or not. The bootcamp i would say is one of the best parts as well.

**What do you dislike about Confidence by Spotify?**

I think it still requires people knowing statistics quite well to be able to do experiments and interpret the results. I'm not saying its an issue of Confidence, A/B-testing is just complex by nature. But with that said I think there are still things that could be done in Confidence to make it easier :-) 

It's quite hard to calculate MDEs and NIMs for the teams even though the sample size calculator exists in the bootcamp, do you think something could be done there?

As an administrator, I'm been struggling with the operational part, for instance if data has not been exported correctly into Confidence during the weekend. The lineage part has developed, so that is great, but the ideal would be to look up the fact table, see if its used in any active experiments, and then be able to do the retrigger from the fact table, not go to every experiment. The MCP server really helps with the lineage as well, so thats great.

I love that Confidence develops so fast, but sometimes it's hard to keep up. Do you think you could have a popup or splash or news sections in the UI? That informs the user of the new cool stuff you have added? :-) Even though I appreciate the change log in our shared slack channel with you!

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Making it so much easier shifting the focus from "just shipping features" to "scientifically proving impact", helps us to understand our customers on another scale.

  ### 19. A bit steep learning curve but good potential for AB testing at scale

**Rating:** 4.5/5.0 stars

**Reviewed by:** Charikleia A.

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**Reviewed Date:** June 22, 2026

**What do you like best about Confidence by Spotify?**

Really good customer support that really takes on feedback and responds really quickly.
Easy to support and organise lots of experiments across different areas and heave everything in one place.
Constantly improving and adding more services - including in the AI space.

**What do you dislike about Confidence by Spotify?**

Seems easy to use at start but lots of small things here and there resulting in an initially unexpected steep learning curve of how to use it right.
Not all pitfalls are easy to notice before you actually have done and failed with few experiments.
But customer support is really quick, helpful, and takes on feedback to kill bugs, improve performance and create new features.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

I am a product analyst in a tiny data team, so the problem it solves from my end is that the data team is not a bottleneck for lots of concurrent tests running across different areas that would traditionally need analysts to help setup and analyse.
In that way the data team can focus on fewer more 'interesting' or complex cases and follow ups instead.

  ### 20. A/B Testing and Feature Flags That Just Work - With Fast, Helpful Support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Transportation/Trucking/Railroad | Enterprise (> 1000 emp.)

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**Reviewed Date:** July 23, 2026

**What do you like best about Confidence by Spotify?**

The A/B testing and feature flag solutions and integration with your own data warehouse is great. The support and engineering team at Spotify is extremely fast & helpful in answering questions.

Most of the things just work, and that's great.

**What do you dislike about Confidence by Spotify?**

The UI has a few minor inconveniences, like chart colors being too close to each other. Also, when setting up A/B tests and rollouts, if the configuration is faulty (my own fault, to be fair), it doesn’t warn or highlight the issue clearly enough.

That said, these are overall very minor things.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It allows us as a company to make meaningful, data-backed decisions when rolling out changes. This allows us to provide a better experience to our users by ensuring a new feature does not accidentally degrade any of our core metrics.

  ### 21. A/B Testing Made Easy with Great Docs and Flexible Metrics

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

- Ability to set up AB testing with pre-defined success/ guardrail metrics, calculate sample size, test period
- Add as many metrics as possible, can add back metrics to calculate even after the test ends
- Good documentation for AB testing 101, different methodologies and terms are well-explained for newbies who never conducted an A/B test before

**What do you dislike about Confidence by Spotify?**

Is there a way to view results by segment? I ran an AB test in India with filters like language and app version. After seeing the results, I'd like to break down the success and guardrail metrics by manufacturer and OS version, ideally right in the results tab.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Be "more confidence" in running AB test. Most of the time, the result holds after scaling up regionally or globally.

  ### 22. Clean, Intuitive UI and Straightforward Mobile SDK Integration

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Transportation/Trucking/Railroad | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 22, 2026

**What do you like best about Confidence by Spotify?**

The UX/UI is very clean, everything is understandable. Also the mobile SDK integration is straightforward, even with openfeature.

**What do you dislike about Confidence by Spotify?**

I’m not sure it’s 100% accurate. For example, if I set up a flag so that basically 50% of users are A and 50% are B, with no third option, I still see a tiny percentage showing up as “no variant,” which shouldn’t be possible. We were also early adopters, and for months we had crashes that seemed related to (and caused by) the confidence integration, but those issues are gone now.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Feature flagging, rollouts, AB test experiments, in general it's all working great, it's clean, the visualisation of how metrics perform over time is very visual and easy to understand for non-data people as well.

  ### 23. Fast, User-Friendly Experiments with Responsive Support

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 30, 2026

**What do you like best about Confidence by Spotify?**

The setup and dashboard management are very user-friendly. It’s fast and easy to set up and run experiments, and the Spotify team provides prompt support when needed. I also appreciate the real-time analysis and the overall data management.

**What do you dislike about Confidence by Spotify?**

I ran into issues integrating it with our web app because the SDKs differed and the documentation wasn’t detailed enough. During the initial setup, the AI support and MCP didn’t help much, so getting everything configured took longer than expected.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It helps me understand user behaviour and offer alternatives tailored to specific target groups. Overall, it delivers more value and faster market reach with fewer resources, and it’s cost-effective for trying different experiences so I can optimise the user experience.

  ### 24. Confidence makes us grow as an experimenters

**Rating:** 5.0/5.0 stars

**Reviewed by:** Sandra K.

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**Reviewed Date:** June 29, 2026

**What do you like best about Confidence by Spotify?**

Confidence enables us to take better product decisions and protects us from biases by design. The bootcamp content has been very valuable as a resource to upskill both ourselves in the team, and the organisation as a whole, leading to a higher experimentation quality overall. 

Having direct contact with the Confidence team for support and expert opinions have also contributing to a stronger experimentation practice, and help in a short amount of time when needed.

**What do you dislike about Confidence by Spotify?**

The key benefit of Confidence is that it's built by genuine experimentation experts, however, that sometimes means for people in the organisation who are new to experimentation theory and key concepts, the copy in the interface can sometimes come across as inaccessible or intimidating.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We're able to take better-informed product decisions, both via A/B testing and Rollouts.

  ### 25. Well-Designed, Easy-to-Use Platform That Simplifies A/B Testing

**Rating:** 4.5/5.0 stars

**Reviewed by:** Vinit B. | Data Scientist, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

Spotify Confidence platform is well designed and easy to use, and it helps avoid a lot of the manual work that would otherwise be required to run an A/B test.

**What do you dislike about Confidence by Spotify?**

The initial learning curve is quite steep, and the onboarding could be improved (I joined fairly early on, so I’m not sure what it’s like currently).

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It allows quick testing of rollouts to a smaller population. Deployments are faster and easier for product teams to manage, which also enables simpler cross-team usage.

  ### 26. Easy-to-Navigate UI, Effortless Reporting, and Super Responsive Support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Lloyd R. | Staff Data Analyst, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

UI is easy to use and navigate. MCP via claude makes analysis and report generation a sinch. Support team is super responsive to any questions

**What do you dislike about Confidence by Spotify?**

I wish the platform was more critical on the data we provide it. Or provide suggestions. Like your data has X, if you added Y and Z, you could also make use of A,B and C

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Helps us understand user behaviour at a granular level (if needed). But ultimately, helps us with shipping decisions very easily

  ### 27. Streamlined A/B Testing with Room for Growth

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User

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**Reviewed Date:** July 23, 2026

**What do you like best about Confidence by Spotify?**

I use Confidence by Spotify for mobile games, A/B tests, and remote control. It helps us manage the full experimentation workflow in one place. I appreciate the easy UI which makes the platform user-friendly, and the built-in A/B test analysis is really useful. It allows us to quickly understand whether a change has a meaningful impact on key metrics and consolidates assignment, experiment setup, and results, eliminating the need to pull data from multiple tools. This all-in-one A/B test assignment and analysis helps us make faster, more confident rollout decisions.

**What do you dislike about Confidence by Spotify?**

One area for improvement would be making the platform easier for new users to learn. While Confidence by Spotify is very powerful, there is a learning curve to understanding the experimentation workflow and all of its capabilities. I think it would benefit from a more guided onboarding experience. Interactive tutorials or step-by-step templates for common workflows, such as creating your first A/B test, setting up player properties, segmentation, configuring remote config, and interpreting experiment results, or even providing an example would help new users become productive much faster.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence by Spotify centralizes our experimentation workflow, supports accurate A/B test assignment, simplifies setup, and enhances player targeting and results analysis, reducing data fragmentation and speeding up confident decision-making.

  ### 28. Empowers Rapid Feature Development with Seamless Integration

**Rating:** 5.0/5.0 stars

**Reviewed by:** Tjaz E. | Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 10, 2026

**What do you like best about Confidence by Spotify?**

I find Confidence by Spotify to be a great product for A/B testing and experimentation on the platform. It helps us iterate really fast and develop new features efficiently, isolating them and shipping them quicker than before. The automation with feature flags over API is particularly impressive, allowing us to create tons of feature flags every day and experiment with ease. Additionally, the initial setup was smooth, thanks to the super helpful sales team which made the process seamless.

**What do you dislike about Confidence by Spotify?**

/

**What problems is Confidence by Spotify solving and how is that benefiting you?**

I use Confidence by Spotify to iterate fast and develop new features. It's a reliable platform for generating experiments, A/B tests, and creates feature flags with great automation over API. Switching from PostHog improved propagation speed and feature search.

  ### 29. Intuitive UI that makes testing releases easy

**Rating:** 4.5/5.0 stars

**Reviewed by:** Carlos P. | Senior software engineer, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 23, 2026

**What do you like best about Confidence by Spotify?**

I think it has a very intuitive UI, if you don't have much knowledge about statistics (like me) the learning curve can be a little bit steep, but overall, with a little bit of effort you can get things done easily

**What do you dislike about Confidence by Spotify?**

More badges that explain what does thing mean, things like reach or exposure

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Feature flags and rollouts. It has been very nice to control traffic using rollouts % to release new features

  ### 30. Powerful, scalable and attentive to our needs

**Rating:** 5.0/5.0 stars

**Reviewed by:** Daniel F.

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**Reviewed Date:** June 25, 2026

**What do you like best about Confidence by Spotify?**

Not having a build a separate infrastructure to measure outcomes of experiments, the tool connects to data that we already produce. This can be behavioural data from frontend analytics tools but also transactional data from backend systems.

**What do you dislike about Confidence by Spotify?**

It does have a quite high learning curve where I at times can be uncertain on the best ways of actually setting up and monitoring experiments - the tool is flexible but that also comes with a complexity.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We want data driven decision making in product development and this tool is an enabler for that. It gives us a controlled way of testing new features, rolling out value adding winners to our customers and at the same time not rolling out features that do not add value.

  ### 31. The whole package - from tools to education modules, makes experimenting possible

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Investment Banking

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**Reviewed Date:** June 25, 2026

**What do you like best about Confidence by Spotify?**

I find that Confidence provides a really strong user interface and a great depth of features that make experimenting highly accessible. It does an excellent job of accommodating a wide variety of workflows by packaging everything—from feature toggling and rollouts to A/B testing, segments, analytics, and educational modules—into one seamless experience.

**What do you dislike about Confidence by Spotify?**

I have not found anything to dislike yet.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence solves the massive challenge of feature management and experimentation, which was incredibly tricky and manual to handle without a proper tool. It allows us to safely roll out new features in controlled stages. By pairing this with robust A/B testing capabilities, Confidence gives us the infrastructure to experiment safely and make data-driven decisions without the usual friction or technical overhead.

  ### 32. Powerful and scalable experimentation

**Rating:** 5.0/5.0 stars

**Reviewed by:** Stelios S. | Data Engineer, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 22, 2026

**What do you like best about Confidence by Spotify?**

Clean UI that’s easy to understand, and the people in the Slack channel are genuinely helpful when you need support.

**What do you dislike about Confidence by Spotify?**

The documentation is missing a few examples. It would be much easier to understand and follow if there were one clear, consistent example used throughout the docs.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We use Confidence to create A/B tests that help us evaluate changes to existing features, as well as new features we release.

  ### 33. Confidence brought trust to our experimentation process

**Rating:** 5.0/5.0 stars

**Reviewed by:** Alexis M.

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**Reviewed Date:** June 26, 2026

**What do you like best about Confidence by Spotify?**

Two main things : 
1. You feel that it was built with deep scientific rigor, making you trust the process
2. Confidence manages to bring together into one space all the parties involved in experimentation. Developer for feature flagging ; PMs & UX designer to build the experimentation ; Data Analysts to provide KPIs and help interpret results. This reduces friction over a usually painful endeavor

**What do you dislike about Confidence by Spotify?**

A/B testing is by nature very technical, Confidence reduces a lot the complexity of this process, but I am sure it can and will still grow in that direction.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence reduces both the lack of trust in the A/B testing process and reduces a big part of its friction.

  ### 34. Fast, Friendly Support and Easy Integrations That Keep Us Moving

**Rating:** 5.0/5.0 stars

**Reviewed by:** Nakul K. | Engineering Head - Mobile Apps, Mid-Market (51-1000 emp.)

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**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

Great tech support from the Confidence team which helps us move fast.

Easy to use for engineers & PMs alike.

Useful integrations like the MCP which makes it easy to use in other workflows that we have.

**What do you dislike about Confidence by Spotify?**

Not that often but sometimes when test don't work, it takes time to investigate what is wrong.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It helps us AB test at scale

  ### 35. Great product - has everything I need

**Rating:** 5.0/5.0 stars

**Reviewed by:** Linus S.

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**Reviewed Date:** June 26, 2026

**What do you like best about Confidence by Spotify?**

For me it's the responsiveness of the team at Spotify. Whenever we miss something, we basically say the word and then we have a solution that works for us right away.

**What do you dislike about Confidence by Spotify?**

I've been using it since very early days though so of course there has been some quirks here and there along the way, but overall everything is moving in the right direction.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence makes us able to very granularly AB-test, feature flag and roll out new features. It makes it very easy for us to target specific app versions so we can align rollouts on different platforms with very basic (or very advanced) rulesets.

  ### 36. It simply works.

**Rating:** 5.0/5.0 stars

**Reviewed by:** Steven J.

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through Google using a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 29, 2026

**What do you like best about Confidence by Spotify?**

Confidence is easy to set up, and simply works without requiring frequent workarounds. Furthermore, the Confidence team is extremely fast when acting on feedback. Reported bugs are usually fixed within a couple days (sometimes within hours), and many of our feature recommendations have been implemented. They also have solid web training and documentation.

**What do you dislike about Confidence by Spotify?**

Because the product is improving quickly, sometimes when I pop back in after a long break or vacation, it takes a moment to adjust. But this is me stretching for something for them to improve on.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Feature flagging, A/B experimentation

  ### 37. Feels more like a partnership than just a SaaS.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Consumer Services

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 18, 2026

**What do you like best about Confidence by Spotify?**

1. Easy-to-use UI with lots of helpful features
2. Ease of integration via OpenFeature
3. APIs for programmatic access
4. (last but not least) Confidence team is very responsive and constantly iterating.

**What do you dislike about Confidence by Spotify?**

Not sure it's a "disadvantage" but I don't know what the experience would be like working with Confidence as a very small entity with minimal funding, e.g. if I was a one-person team bootstrapping a small startup.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Confidence, as a platform, seems pretty battle-tested.  I really like how it's tied into our GCP backend directly so we can own the data.

  ### 38. A Great Common Ground for Testing with a Highly Responsive Team

**Rating:** 4.5/5.0 stars

**Reviewed by:** Baudouin T. | Data Analyst, Enterprise (> 1000 emp.)

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 28, 2026

**What do you like best about Confidence by Spotify?**

Having a common ground for testing (UI, methods, metrics, ...). I also really appreciate the reactivity of the team when needed.

**What do you dislike about Confidence by Spotify?**

Metrics can be a struggle to adapt, recompute. Also identifying duplicated computations would be a great feature.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

By offering a low code environment & common ground on methods, you can focus more on the ideation, thinking and interpretation. As a data analyst, its also a great tool to educate PM.

  ### 39. Clear Results and an Easy-to-Use UI for Everyone

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Telecommunications | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

Clear results and an easy-to-use UI, even for non-tech people.

**What do you dislike about Confidence by Spotify?**

The lack of deep technical documentation on certain topics like flags, clients, or exposure calculators. The need to have a previous flag to determine the sample size, which is not always the case when you start an experiment for a new feature.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

We are able to test our experiments on the app very fast and gather useful conclusions from them

  ### 40. Finally I could see the outcome of my experiments

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jesper H.

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 25, 2026

**What do you like best about Confidence by Spotify?**

It's an easy way to get control over rollouts, experiments and see their actual outcome.

**What do you dislike about Confidence by Spotify?**

Flag rules can sometimes be a bit tedious to set up. It would be nice if the system to add rule templates that can be reused on flag creation.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It allows us to do controlled roll-outs/experiments of new features while keeping us informed about what effects our changes actually have on user behaviour. This has normally been something that takes a lot more effort to achieve.

  ### 41. Helpful Support, Intuitive UI, and Easy Repo Implementation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

The support was helpful, the UI/UX is intuitive, and it was easy to implement in our repo.

**What do you dislike about Confidence by Spotify?**

Sometimes it isn’t easy to debug specific test issues, especially around exposure and certain metrics.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It offers a way to run not only A/B tests but also A/B/C/D tests, and to get more than just simple yes/no results. Also it makes the tests easy to set up and create

  ### 42. Lovely experience

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Consumer Goods

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 29, 2026

**What do you like best about Confidence by Spotify?**

The tool is very easy to get started with, and the Confidence team is highly available to answer our questions. It also strengthens collaboration and helps us feel more comfortable making data-driven decisions.

**What do you dislike about Confidence by Spotify?**

It is quite a technical field, so there is a learning curve before feeling fully comfortable with all the nuances the tool offers.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Making data driven decision and confidently rolling out features while being confident in doing so.

  ### 43. Easy Setup, Provides Great Metrics

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User | Mid-Market (51-1000 emp.)

This reviewer's identity has been verified by our review moderation team. They have asked not to show their 
name, job title, or picture.


**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 20, 2026

**What do you like best about Confidence by Spotify?**

I appreciate the easiness to use and setting up Confidence by Spotify. It's easier to set up and do an A/B test or a rollout compared to other tools such as Firebase. I also like the metrics provided.

**What do you dislike about Confidence by Spotify?**

Setting up the fact tables for the metrics is time-consuming. As a product manager, I feel this is the most time-consuming step in the A/B testing process.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

I use Confidence by Spotify for monitoring crash rates and testing different variants. It's easier to set up and perform an A/B test or rollout compared to other tools and provides useful metrics.

  ### 44. Improved speed & quality of experimentation

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in E-Learning

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 23, 2026

**What do you like best about Confidence by Spotify?**

Highly opinionated on experiment outcomes. Like having a group of phd statisticians hired at the company.

**What do you dislike about Confidence by Spotify?**

Different design in how to setup experiments compared to previous tools so we needed to change how we target/expose users to different treatments. But got a lot of support from the team to change wow with targeting as smooth as possible

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Interpreting experiment outcomes and helping people conduct proper statistical analysis.

  ### 45. Great product!

**Rating:** 4.5/5.0 stars

**Reviewed by:** Oleksii H.

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through Google One Tap using a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 09, 2026

**What do you like best about Confidence by Spotify?**

Confidence bootcamp, AI capabilities, UI, developers team and how they support us and listen to the feedback

**What do you dislike about Confidence by Spotify?**

There are occasional bugs sometimes, but the team tries to resolve them and help as soon as possible

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Helping us to run AB test in out product, also helping us to use feature flags to safely develop and test features

  ### 46. Clear Metric Results, Smooth User Randomization, and Responsive Support

**Rating:** 4.5/5.0 stars

**Reviewed by:** Ekta A. | Product manager, Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 22, 2026

**What do you like best about Confidence by Spotify?**

The way it shows the metric results, randomization of users, support from confidence team whenever we are stuck...

**What do you dislike about Confidence by Spotify?**

The way it creates the report once the test is completed. There is no way to customize it

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Easiness to run AB test

  ### 47. Flexible, Simple Experimentation with Easy Results Analysis

**Rating:** 4.5/5.0 stars

**Reviewed by:** Anjali P. | DATA ANLYST, Mid-Market (51-1000 emp.)

**Validated Reviewer:** Validated through a business email account

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: Seller invite:** Invitation from a seller or affiliate. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** July 21, 2026

**What do you like best about Confidence by Spotify?**

It’s flexible and simple to run multiple experiments and analyze the results.

**What do you dislike about Confidence by Spotify?**

There isn’t a proper tutorial for beginners to help them get started.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

It actually solves the problem of slow decision-making by supporting multiple experiments and providing proof through results.

  ### 48. Easy, fun and educational

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Investment Banking

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 26, 2026

**What do you like best about Confidence by Spotify?**

Educational material. Many smart functions to make complicated things easier. Nice UI. Easy to collaborate.

**What do you dislike about Confidence by Spotify?**

Sometimes hard to understand the underlying problem when something goes wrong.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Understanding how the users use new functions, what has a positive effect on the user experience and what doesn´t.

  ### 49. Bro, this is cracked good shit. Lets go

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Computer Software

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 29, 2026

**What do you like best about Confidence by Spotify?**

Simplicity, architecture and ecosystem. I can run my feature flags everywhere.

**What do you dislike about Confidence by Spotify?**

Bro, the UI isn't great ngl. But it would be amazing if we could have stuff sync'd to code better. Look at e.g. Looker's LookML part - idk.

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Experimentation platform

  ### 50. Advanced in a good ways. When first starting it feelt overwelming, but no it feels powerful!

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Financial Services

**Current User:** The reviewer uploaded a screenshot or submitted the review in-app verifying them as current user.

**Validated Reviewer:** Validated through a review partner

**Incentivized:** This reviewer was offered a nominal incentive as thanks for completing this review.

**Source: In-app:** This review was generated through an in-app integration or from one of G2's partnership integrations. This reviewer was offered a nominal incentive as thanks for completing this review.

**Reviewed Date:** June 22, 2026

**What do you like best about Confidence by Spotify?**

Robust and keeping me on the right track when it comes to testing.

**What do you dislike about Confidence by Spotify?**

It's hard to learn. It's not a "plug and play" experience

**What problems is Confidence by Spotify solving and how is that benefiting you?**

Testing and experimentation in the right way!



- [View Confidence by Spotify pricing details and edition comparison](https://www.g2.com/products/confidence-by-spotify/reviews?section=pricing&secure%5Bexpires_at%5D=2026-09-06+03%3A11%3A48+-0500&secure%5Bsession_id%5D=442d1a97-296f-41f0-9713-4ad28eebe4d6&secure%5Btoken%5D=0ba4e7aeecc03f91dd565badd8495c9e89771cdab72cebc40ca2338493024a84&format=llm_user)

## Confidence by Spotify Features
**Management**
- Flag Management
- Rollout & Rollback Control
- Monitoring

**Computing**
- AI/Machine Learning
- Little to No Coding
- Generative AI

**Functionality**
- Multi-Environment Control
- Feature Testing
- Low-Code Interface

**Experimental Design**
- Multivariate testing capacities
- Split Testing
- Mobile Testing
- AI Assisted Testing
- Multivariate Testing

**Analytics**
- Reporting and Analytics
- Visual Analytics

**Additional Functionality**
- Alerts/Notifications
- Surveys & Feedback
- Mobile Access
- Customizable Templates
- Workflow Management
- Customizable Reports
- Visual Editor
- Conversion Rate Optimization
- Access Controls/Permissions
- Campaign Segmentation
- Widgets
- Activity Dashboard
- Funnel Analysis
- Drag & Drop
- API
- Content Management
- Behavior Tracking
- Landing Pages/Web Forms
- Engagement Tracking
- Geotargeting
- AI Copilot
- Monitoring
- Conversion Tracking
- Customizable Branding
- Real-Time Data
- Assessment Management
- Search/Filter
- Data Visualization
- Statistical Analysis

**Agentic AI - A/B Testing**
- Autonomous Task Execution
- Cross-system Integration
- Audience Targeting
- Third-Party Integrations

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