E-Commerce Personalization Software Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on E-Commerce Personalization Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

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E-Commerce Personalization Software Articles

Highlights From the G2 Fall 2022 E-Commerce Reports

The e-commerce software market experienced significant changes in the past quarter caused by market corrections, changes in buyer behavior, and supply chain challenges. To understand how these changes impacted users, I analyzed the most recent G2 e-commerce reports data for fall 2022.

by Gabriel Gheorghiu

A Better Future for Digital Storefronts with E-Commerce Personalization

The COVID-19 pandemic brought about changes to many industries, including one of the most sought-after ones, the retail sector. From suppliers, manufacturers, distributors, wholesalers, and retailers to consumers, everyone was exposed to the vulnerabilities and consequences of the pandemic. Amidst this health and economic crisis, consumer shopping behavior changed entirely. Businesses realized the power of digital transformation and added a virtual storefront to their brick-and-mortar store as consumers adapted to shopping online.

by Subhransu Sahu

What Is Social Commerce, and Why We Created a New Category for It

The fact that social media is critical for e-commerce is obvious. There are billions of users on social media platforms, and many of them buy online. It is estimated that the number of social media users worldwide will reach 5.85 billion by 2027. In addition, sellers also use social media to share and promote their products—the value of social commerce sales worldwide is estimated at 2.9 trillion dollars by 2026.

by Gabriel Gheorghiu

E-Commerce Personalization Software Glossary Terms

Guided Selling

Guided selling educates and directs consumers to relevant choices through a series of questions. Learn how to make this strategy work for your business.

by Amanda Hahn-Peters

Explore our Technology Glossary

Browse through dozens of terms to better understand the products you purchase and use everyday.

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E-Commerce Personalization Software Discussions

What's the best e-commerce personalization software for product recommendations based on browsing behavior?

I've been mapping out what's the best e-commerce personalization software for product recommendations based on browsing behavior for a store owner whose site showed the same homepage to every visitor regardless of what they'd looked at before. The core distinction is whether recommendations update in real time from actual browsing behavior, or just rely on static rules like "customers also bought." Here's what stood out in the E-Commerce Personalization category on G2.

Dynamic Yield. Real-time behavioral personalization built specifically for product recommendations across the shopping journey. Best for teams wanting deep behavioral targeting.
Bloomreach. Combines product discovery and personalization, using search and browsing signals together to drive recommendations. Best for teams wanting personalization tied to on-site search.
VWO Testing. Personalization paired with A/B testing, useful for teams that want to validate whether personalized recommendations actually lift conversion before rolling them out broadly. Best for teams wanting to test personalization impact directly.
Optimizely Web Experimentation. Experimentation-first platform with personalization features layered on top, aimed at teams already running a testing program. Best for teams with an existing experimentation practice.
AB Tasty. Combines personalization and experimentation with a lower setup barrier than some enterprise platforms. Best for mid-sized teams wanting personalization without enterprise complexity.

Worth being honest that behavioral personalization is only as good as the data feeding it. A store with low traffic often doesn't generate enough browsing signal for the algorithm to personalize meaningfully, so this category tends to pay off more once you have real volume than it does on a brand-new site.

For ecommerce teams running behavioral personalization, did it actually move conversion in a way you could measure, or did it mostly just look impressive without a clear lift?

On the measurable-ROI question: recommendation widgets grade their own homework. They claim credit for every click they touched, including purchases that would have happened anyway, which is why the reported lift and the real lift can be very different numbers. The only clean answer is a holdout, a slice of traffic that never sees recommendations, and it's telling that half the products in this list are experimentation tools; that pairing is the point, not a coincidence.

Answered: Amita Jain on September 17, 2026

Your answer

Question on: Insider One

Why did your team choose Insider One over other engagement platforms?

We’re currently looking at a few engagement platforms and have a couple of options in mind. Just wanted to check with others who chose Insider One, what made you go with it over the alternatives? Would love to hear your experience.

Since I was involved in the process of evaluating engagement platforms for our team, I can share why we decided on Insider One. One of the main reasons was how it balances powerful features with ease of use. As a single platform, it lets us activate campaigns across multiple channels, consolidate data, and capture actionable insights, all without overcomplicating the process. This made adoption smoother for our team and allowed us to focus more on strategy rather than setup. Another key reason was how easily it lets us see customer behavior across multiple channels. Having that visibility helped us understand which campaigns and content were resonating with customers and which weren’t. It made planning and adjusting campaigns much more straightforward because decisions were based on real insights rather than assumptions. We also valued how simple it is to create personalized experiences. Features like automated journeys and product or content recommendations make it possible to reach customers with messages that actually feel relevant. Before Insider One, some other platforms we looked at either lacked this flexibility or required a lot of technical effort to set up similar campaigns. Overall, Insider One felt like the right fit for our team’s goals.

Answered: Oanh Nguyen on March 19, 2026

Your answer

Question on: Insider One

Which Insider One features do you find most useful for improving customer engagement?

Which Insider One features have you found most useful in improving customer engagement, and why? Are there particular tools or strategies within the platform that have made a measurable difference in your campaigns?

Based on my experience with Insider One, a few features have significantly enhanced customer engagement. I utilise behavioural analytics to understand how customers engage with campaigns and content. This helps me understand what works and what doesn’t. For example, tracking which pages or emails get the most attention lets me adjust campaigns to better match customer behavior. I also rely on personalized recommendations. Showing content or products based on what a customer has looked at or purchased in the past gets a better response than sending the same message to everyone. On top of that, Eureka search recommendations help surface relevant products or content directly when customers search, making discovery faster and more engaging. Similarly, Instory’s Insta-style recommendations present content in a visual, scrollable format that feels intuitive and fun, which has boosted engagement on campaigns and product feeds. Automated omnichannel customer journeys are helpful too. I can set triggers for things like abandoned carts or repeated page visits. This lets me reach customers on their favorite channels at the ideal moment without having to do it manually every time. Using these features together has made it easier for me to keep customers engaged and make interactions feel relevant. How do others use these features to improve engagement?

Answered: Tu Oanh Tran on February 16, 2026

Architect (journey orchestration): The drag and drop journeys + AI powered segmentation let us react to behavior in real time across web, app, email, SMS, and push, which cut “missed” triggers and lifted engagement on key journeys. Predictive segmentation & personalization: Using Insider’s AI intent and predictive models to target likely buyers or churn risks made our campaigns feel a lot more like hyper personalization, not batch blasts, and we saw clear uplifts in conversion, AOV, and repeat visits in case studies and our own tests. Onsite / in app experiences: Things like personalized banners, recommendations, and gamified widgets (wheel of fortune, stories, etc.) consistently boosted engagement and lead capture. PUMA and Lenovo style results (double digit conversion and AOV lifts) are pretty representative of what you can get if you use it well. Insights Agent & analytics: Being able to ask questions in plain language and get insights, plus anomaly and opportunity detection, helped the team spot segments and campaigns worth doubling down on, without a separate BI tool. In terms of measurable difference, the main wins have been higher conversion rates, more engaged email / web traffic, and faster time to value vs stitching point tools together, which lines up with how enterprise brands talk about Insider One in case studies and reviews.

E-Commerce Personalization Software Articles

Highlights From the G2 Fall 2022 E-Commerce Reports

A Better Future for Digital Storefronts with E-Commerce Personalization

What Is Social Commerce, and Why We Created a New Category for It

Hybrid Shopping Trends in 2022

2021 Trends in E-Commerce and Industry 4.0

Why You Need an E-Commerce Strategy and How to Create One

How to Choose the Best E-Commerce Software for Your Business

How to Balance Consumer Privacy and Personalization in Marketing

E-Commerce Personalization Software Glossary Terms

E-Commerce Personalization Software Discussions

E-Commerce Personalization Software Reports