Sweet Analytics Features

Helps marketers measure return on investment (ROI) by analyzing campaign effectiveness against costs

Gathers data about the effectiveness, impact, and reach of marketing campaigns

Collects and reports on data relating to customer journeys, preferences, and history

Allows multiple users access to a unified, transparent overview of analytics, dashboards, and campaign results

Includes features for budgeting, forecasting, and managing marketing investments

Offers a white labeling service for agencies or resellers to customize platform branding

Collect information from multiple sources

Tracks metrics that provide insight into how a user interacts with any interface or product

Track and monitor a specific set of keywords

Track visitors'/audience's responses across web pages and other optimized content

Track the performance of marketing campaigns across multiple channels.

Measure return on ad spend by tracking the actions people take such as sign up or download after engaging with ads

Optimize and manage the search engine optimization efforts for a website or digital content

Generate or append custom campaign parameters to URLs

Receive data and information in real time

Track and document all activities across devices, networks, and other systems

Track the amount of clicks on individual products to measure campaign results

Manage, organize, and store contact information

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Manage, store and organize emails within the system or via third-party apps

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Manage various distribution channels, build relations with channel partners, and track their performance

Create, save, and re-purpose templates for emails, forms, etc.

Create, design and manage workflows for repetitive tasks

Analyzes historical and current marketing campaigns to inform future strategy

Creates reports and dashboards to analyze results of campaigns

Identifies which marketing campaigns resolved in open or closed opportunities

Collects marketing campaign performance data across multiple channels

Provides opportunities for brands and businesses to fix or modify existing or future campaigns via feedback

Uses artificial intelligence (AI) to predict campaign outcomes and suggest actions for optimization

Manage multiple campaigns in one system

Track and interpret campaign performance metrics

Track and analyze information regarding website visitors

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

Send automated marketing emails based on user actions over a predetermined period

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

Alter the layout and content of reports

Data collected and analyzed by the platform delivered in an easily digestible format.

Reports and other relevant data housed in a single, easy-to-navigate location.

Tools to analyze how customers use the site in order to optimize user experience and determine which pages are most successful.

Tools to track the success of various marketing campaigns in order to optimize marketing efforts.

The ability to collect and analyze customer data in order to determine which demographics make up a customer base.

Predictions of future behavior based on past and present data.

Generate forecasts using historical data and market trends

Include standard key performance indicators (KPIs) for retail and e-commerce

Provide customizable dashboards to display KPIs and forecasts

Integrate with bsiness intelligence and analytics software

Forecast customer demand using historical insights and simulations

Addition of necessary external data, applications, tools, or features

Monitor store key performance indicators (KPIs) in real-time

Generate forecasts using historical data and market trends

Creates reports and dashboards to analyze retail KPIs and metrics

Uses artificial intelligence (AI) to build forecasting models based on existing data sets

The ability to store large quantities of data for analysis within the platform itself.

Tools to fascilitate testing various user experience tweaks in order to determine which configuration has the best results.

Integrations with other software tools in order to fascilitate the exchange of data collected by various software.

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Create and send email blasts/campaigns

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Receive data and information in real time

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Uses artificial intelligence to provide suggestions based on desired outcomes.

Provides users the ability to dynamically segment their users based on varying criteria (i.e. email opens, product features, etc.).

Automates the testing and optimization of customer-facing messaging and campaigns.

Ability to uncover and visualize how users move through your website, marketing campaigns, and product(s).

Ability to measure product usage by feature, campaign performance by source, and other trending metrics.

Provides dashboards to combine and visualize quantitative and qualitive customer journey data.

Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group customer journey data.

Ability to create visualizations or maps of past, current, or future customer journeys based on behavioral data.

Integrates with additional marketing analytics and other marketing, sales, and e-commerce-related software to provide one source of truth for customer journey analytics.

Provides the ability to setup automated alerts to drive targeted actions and customer experience improvements.

Provides a cloud based version of the platform

Provides an on-premise version of the platform

Facilitiates API development and integrations with prebuilt connectors, templates, and examples.

Provides the ability to create connectors from existing services and APIs in catalog.

Provides dashboards to gain real-time insights into API performance, usage, and errors.

Facilitates to and fro data map according to the data model between applications/web services.

Provides integrations to ERP Systems.

Provides integrations to accounting Systems.

Provides integrations to customer relationship management and marketing automation systems.

Provides integrations to EDI service providers.

Gather multiple types of data from various sources

Consolidates data from multiple sources

Detect innacurate, incomplete, or duplicate commerce data

Ensure that the data complies with internal quality standards

Allow users to update the data to nesure its accuracy and validity

Collect & analyze data from multiple sources to get insights into competing products, customer behavior, pricing & marketing strategies

Collect, process and structure data from multiple sources for further analysis

Receive data and information in real time

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Consolidates data from multiple sources

Gather multiple types of data from various sources

Allow users to update the data to ensure its accuracy and validity

Detect innacurate, incomplete, or duplicate data

Ensure that the data complies with internal quality standards

Offer mobile dashboards to view retail KPI in real-time

Support or include dedicated app for iOS and/or Android

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Easily integrate with POS software to monitor sales and customer data

Allows integration with marketplace such as Amazon, eBay, Walmart, etc

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Allows users to generate text based on a text prompt.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Set up connections to third-party platforms to improve business processes

Integrate with social media platforms such as Facebook, Twitter, LinkedIn, etc.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Process of arrangement and optimization of product placement on retail shelves using data-driven insights

Plan marketing campaigns for events

Market event via social media tools

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Use AI to generate content in the form of text, images, videos, etc.

Import and export data to and from software applications

Manage the process of attracting and converting business prospects into leads

Group campaigns by project, client, or campaign for better management.

Customize contracts and forms to collect specific information

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Observe and track the demand, usage, progress or quality of a system, product, or user

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Pre-designed layouts that can be customized to match preferences and requirements

Pre-made examples and templates for emails

Web form that allows users to enter data that is sent and processed for different reasons

Automatically identify and save contact information of potential customers

Add customized logos and colors to align with company branding

Active reporting of data and metrics

Plan and strategize marketing campaigns

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Built-in customer relationship management (CRM) capabilities or integration with a third-party CRM system

Process of dividing customers into groups based on common characteristics

Set campaign schedules by selecting start, pause, and end dates

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Create and automatically send premade copy in response to customer messages

Assemble applications and processes by dragging over and arranging pre-built components

Predefined actions automatically performed on the occurance of specific events

Create and send email blasts/campaigns

Application programming interface that allows for integration with other systems/databases

Customize data fields to support various needs and use cases

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Graphical representation of data

Generate one-off reports that meet information requirements

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Connect to big data sources

Search and filter data across systems to locate required information by entering keywords or certain criteria

A set of rules that assigns credit for sales and revenue to touchpoints across the customer journey

Visualize and analyze customer experience across all touchpoints and channels

Tracking the status of previously identified performance measurements

Analytics that breaks the data in a data set into related groups/categories.

Define, track, and/or automate sales activities and sales processes

Technological processes and strategies used for collecting, managing, and analyzing organizational data

A visual display that uses a color spectrum to show how visitors interact with areas of a web page

Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.

Track factors that affect pricing and adjust prices accordingly to increase sales

Real-time price adjustment for a product or service to reflect changing market conditions, geolocation, customer behavior, etc.

Manage all supplier data and operations

Predict future data based on historical data sets

Searchable repository of information about clients

Analysis of retail data to provide actionable insights for optimizing store performance and brand presence

Compare brand frequency and position versus competitors in AI content.

Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)

View and track pertinent metrics to find patterns and gain insights from data

Review data from past periods to reveal recurring tendencies and predict future performance

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Generative AI models can create personalized recommendations for users based on their preferences and behavior.

Track in detail how users interact with your campaigns and pages (scrolling, button interactions, etc.)

Manage the planning and execution of supply chain activities

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Identify specific interactions between customers and brands

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

Identify which applications need to exchange data and enable these data connections

Captures invoice data and maintains comprehensive records for auditing and reporting purposes

Tracking, organizing, and controlling retail inventory throughout the supply chain and sales process

Alter the layout and content of reports

Managing salespeople/distributors who sell products for direct sales companies

Manage occupancy and space utilization in facilities and buildings

Graphical representation of data

Manage and track customer orders for goods, investments, or any other purchases

The activity of promoting the sale of goods at retail

Intended to be used by online stores

Manage sales in retail stores

For Retail Stores

Evaluation of retail operations to ensure outlets follow operational, merchandising, and compliance standards.

The process of developing, monitoring, and maintaining the brand value, reputation, and awareness across the target audience.

Grouping log entries based on similar attributes.

Automate processes to manage leads, contacts, opportunities and sales activities

Provides a channel for team members to share media files, communicate, and work together

Receive notification of issues as soon as they occur

Collection of processes, policies, and standards to manage the storage & usability of enterprise data

Track and analyze user behavior within a system or network

Tracks metrics that provide insight into how a user interacts with any interface or product

Manage, organize, and store contact information

Visualize and analyze customer experience across all touchpoints and channels

Use AI to generate content in the form of text, images, videos, etc.

Application programming interface that allows for integration with other systems/databases

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Manage the process of attracting and converting business prospects into leads

Combining data from different sources and providing a unified view

A report showing what actions customers perform

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and document all activities across devices, networks, and other systems

Group campaigns by project, client, or campaign for better management.

Automatically identify and save contact information of potential customers

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Track visitors'/audience's responses across web pages and other optimized content

Analyze and gain insights into data in real-time

Manage, store and organize emails within the system or via third-party apps

Score a lead on their quality or likelihood to buy based on certain behaviors

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, save, and re-purpose templates for emails, forms, etc.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Predict future data based on historical data sets

Gauge satisfaction and receive information for improvement and success

Adjust communications based on previous interactions or personal preferences

Plan and strategize marketing campaigns

Set up connections to third-party platforms to improve business processes

Track and analyse user behavior within a system or network

Track delivered, received, and opened emails

Track and interpret campaign performance metrics

Process of dividing customers into groups based on common characteristics

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Manage various distribution channels, build relations with channel partners, and track their performance

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Ensure compliance with the General Data Protection Regulation protocols

Record customer information, purchase history, and other notes

A collection of customer information such as contact details, demographics, previous interactions, etc.

Allows users to manage data from a number of sources

Predefined actions automatically performed on the occurance of specific events

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Pre-designed layouts that can be customized to match preferences and requirements