Sales performance
Revenue, orders, AOV, conversion, margin and commercial trends.
Menura AI Data Canvas
Your data has more to say. Just ask it.
Menura AI Data Canvas is a natural-language insight workspace that helps retail teams explore business data, understand performance, and turn findings into action.
Powering Customer Experiences for Leading Retailers Globally
Ask business questions, not database questions.
Explore your business from every angle. Your business already generates the data. Menura AI Data Canvas makes it easier to understand what it is telling you. Ask questions in natural language and explore information across your data sets without building reports, filtering dashboards or writing queries.
Customer insights
Segments, loyalty, lifetime value, churn, acquisition and retention.
Product movement
Demand, category performance, product interest, inventory and purchasing patterns.
Website & traffic
Sessions, sources, landing pages, browsing behavior and conversion paths.
Campaign effectiveness
Campaign performance, channel contribution, engagement and conversion.
Audience opportunities
Identify customer groups worth targeting, suppressing or re-engaging.
Workflow
Go from questions to answers, analysis, and action
Layer 01 Ask
Start with a question
Start with the business question you want answered. Describe what you want to understand in plain language, and Menura AI Data Canvas identifies the data needed to answer it.
And if you don’t know what to ask? Data Canvas includes ready-made prompts and question recipes designed around common retail and eCommerce goals.
How did yesterday's sales go? Which customers are starting to disengage? What products were viewed frequently but rarely purchased?
Layer 02 Analyze
Connect the data behind the question
Business questions rarely depend on a single dataset. Data Canvas brings together the relevant information available within your account to support each analysis. You stay focused on the business question while Menura AI handles the underlying data retrieval and analysis.
Customer profiles 
Transactions 
Website activity 
Products 
Campaign interactions 
Chats Layer 03 Understand
Get the answer and understand what is behind it
The output shows both the result and the supporting data. Data Canvas summarizes what changed, highlights relevant patterns, and gives you the information needed to understand performance in more detail.
- Insight: Plain-language explanation of what happened.
- Numbers: KPIs and comparisons behind the answer.
- Charts: Visualize trends, relationships and anomalies.
- Tables: Explore the underlying data in more detail.
Layer 04 Explore
Follow the questions that matter
Explore follow-up questions without losing the context behind the first answer. Use My Canvas to connect questions, analyses, charts, tables, and outputs in one visual workspace. Branch from a result, compare different lines of analysis, and keep each step connected to what came before it.
- Compare different branches of analysis
- Build sequential investigation paths
- Keep supporting tables, charts and insights together
- Return to the Canvas later without losing context
Layer 05 Activate
Move from insights to action
When an analysis reveals a useful customer group, activate it without rebuilding the audience elsewhere. Create the audience directly from Data Canvas and use it in your next engagement strategy.
Build Segment 
Meta Custom Audience 
Google Audience Portable Canvas 
Save it. Reuse it. Take it anywhere.
Useful analysis should not disappear once the question is answered.
Your Canvas keeps questions, analysis paths, charts, tables, and outputs connected, so teams can return to previous work, reuse proven approaches, and build on what they have already learned.
Save your Canvas
Preserve questions, analysis paths, and outputs so you can continue the analysis later.
Reuse proven analysis
Apply the same Canvas structure across different periods, campaigns, categories, or business questions.
Move between accounts
Export and import Canvas setups between accounts, useful for multi-brand retailers, retail groups, and agencies.
Recipes
Start with questions worth asking
Data Canvas includes ready-made recipes for recurring retail analysis, from daily performance checks to customer churn, product demand, and campaign effectiveness. Choose a recipe, adapt it to your business, or start with your own question.
How did yesterday compare with the same day last week?What changed significantly yesterday?Which kpis are moving outside their normal range?Which high-intent visitors have not purchased?Which customers are likely candidates for reactivation?Where are we discounting customers who may have purchased anyway?What are the biggest positive and negative changes this month? Which key kpis moved outside their normal range?What are the five numbers i should know about this month?
Which loyal customers are becoming less active?Who made their first purchase this month?Which customer segments are growing fastest?Who are our 20 most valuable customers by total value?How many customers are at risk of churning, and what is their value?Which customers have the highest predicted lifetime value?Which customers generate the highest aov?Which customers mainly purchase when products are discounted?Which customers have the highest predicted churn risk?How many customers are in each rfm segment?How much customer value sits within each rfm segment?
Which categories are gaining or losing demand?What products get high traffic but low sales?Which products are frequently purchased together?Which products were viewed frequently but rarely purchased?Which high-demand products are currently out of stock?Which categories generated the highest sales value last quarter?Which customers are likely to buy product x?Which customers show strong affinity for category y?Which categories are driving the biggest change in revenue?Which products are attracting interest but failing to convert?Which products or categories rely most heavily on discounting?
How did my latest campaign perform?Which recent campaigns drove the most revenue?Which email, sms, or viber campaigns had the highest open and click rates?Which campaign channel is underperforming?Which customers clicked but did not purchase?What day and time perform best for each channel?How many messages per week can we send before engagement starts to decline?Which channels are best at acquiring new customers versus retaining existing ones?Which customers opened but didn’t click?
See what your data can tell you
See how Menura AI Data Canvas can help your team explore the questions you already ask, understand performance in context, and connect findings to your next action.
Trusted by 500+ brands globally. Rated Top Customer Satisfaction on G2.
Traditional vs. AI Data Canvas
From dashboards to dialogue
Data Canvas doesn’t replace business intelligence. It complements your existing business intelligence by giving retail teams a faster way to explore follow-up questions, keep the context behind their analysis, and activate useful customer findings.
| Traditional analysis | Menura AI Data Canvas | |
|---|---|---|
| Access to data | Navigate between tools, dashboards, and data sources | Explore connected business data in natural language |
| From analysis to action | Move through multiple steps before activation | Analyze and activate within the same workspace |
| Ease of exploration | Rebuild filters and reports for each new question | Branch from results and explore follow-up questions |
| Continuity and reusability | Insights are often scattered or recreated | Save and reuse analyses through My Canvas |
| Cross-team dependency | Multiple handoffs across teams | Fewer handoffs and more self-service |
One AI layer powering every interaction.
Data Canvas is one of the ways Menura AI puts ContactPigeon's retail intelligence to work.
Menura AI connects customer and commerce data with AI reasoning to help retail teams understand, engage, create, and personalize every part of a customer journey.
The intelligence layer
Menura AI Overview
The intelligence layer that powers smarter customer experiences, from conversational assistants and business intelligence to autonomous agents that act on real-time context.
Learn more →Retail Assistant
Guide shoppers through discovery, purchase, and support.
Explore agent →Data Canvas
Ask questions, uncover insights, and create smarter audiences.
Explore agent →
Campaign Composer
Create high converting content and campaigns with one prompt.
Agentic 1-to-1
Determine the most relevant next experience for each customer based on a set goal.
Frequently asked questions about AI Data Canvas
What is Menura AI Data Canvas?
Menura AI Data Canvas is a natural-language analytics workspace that helps retail teams explore customer, commerce, campaign, and behavioral data.
Teams can ask business questions, examine supporting data, explore follow-up analyses, save their work in My Canvas, and turn useful customer findings into audiences.
What is My Canvas?
My Canvas is the visual workspace inside Data Canvas where you can connect questions, analyses, charts, tables, and outputs.
It allows you to follow different paths of analysis, return to previous work, and reuse Canvas structures for future business questions.
What kind of questions can I ask?
You can explore sales performance, customers, products, website behavior, campaigns, and audience opportunities.
Data Canvas also includes ready-made recipes for recurring retail and eCommerce questions, which you can adapt to your own business.
Do I need to know SQL or how to build reports?
No. Data Canvas is designed for natural-language exploration, so you can work with your data without writing queries, rebuilding filters, or navigating between multiple reports.
Can I turn insights into customer audiences?
Yes. When an analysis identifies a useful customer group, you can turn it into an audience directly from Data Canvas and use it in your engagement strategy.
Can I save and reuse my analyses?
Yes. My Canvas lets you save questions, analysis paths, and outputs, reuse proven Canvas structures, and move Canvas setups between accounts when working across brands, retail groups, or agencies.