Product Analysis shows you how transaction volume is distributed across your products and their attributes — for example, which betting platform drives the most wager volume, or which product category drives the most revenue. It turns the purchase data you already send to Optimove into a standardized product performance view — no custom report needed.
Find it under Analyze → Product Analysis.
What this report is based on
Every transaction a customer makes carries information about the product involved: its type, its attributes, and the transaction amounts. Product Analysis aggregates those transactions so you can see how your totals break down across whichever product dimension you choose.
All figures are totals across your customer base for the selected date range. No individual customer data is visible.
Configuring your view
Date Range — At the top of the page, choose Last 30 Days, Last 90 Days, Last 180 Days, or a Custom range. The report updates daily and includes data through yesterday — which is why all date ranges end yesterday.
Then use the Choose Product panel on the left:
- Activity Type — the type of activity to analyze. Both the label and the options reflect your account's configuration: a gaming operator might see Casino, Poker, and Sport under Activity Type, while a retailer might see Order under Purchase Type.
- Product Attribute — the product dimension to break the data down by. For a Sport activity type these might be Bet Platform (device used), Bet Discipline (sport), or Bet Product Name (specific bet type); for a retail purchase type this might be Brand or Category. These are your account's product attributes — the same ones you'll recognize from Customer Explorer — so the exact names depend on your data configuration.
What you'll see
Once you've made your selection, the main panel shows a performance table titled after your selected attribute — for example, Bet Platform Performance or Category Performance.
The table shows:
- Attribute Value — each distinct value for the selected product attribute (for example, SmartPhone, Web, Tablet for Bet Platform).
- A column for each metric configured for the selected activity type — one account might see a single bet amount, another might see item price, discount, and refund amount. Each figure is the total for that attribute value over the selected date range; currency metrics are shown in your account's base currency.
- Total — a bottom row summing each column across all attribute values.
Values are listed from highest to lowest.
Sorting and exporting
Hover over the table to reveal the ⋯ (three-dot) menu in the top-right corner. From there you can:
- Sort — change the sort column or toggle between ascending and descending order.
- Export data — download the table as a CSV or Excel file.
Examples
- iGaming – Sport operator: Select Sport → Bet Platform to see how total Bet Amount is split across SmartPhone, Web, Tablet, Mobile, and other platforms — immediately showing which devices your players transact on most.
- Retail operator: Select your purchase type → Brand or Category to see which product attributes are generating the most revenue in the selected period.
How to use Product Analysis
Find where transaction volume is concentrated
The table ranks attribute values by their totals. The top values tell you which product characteristics your customers are gravitating toward — useful input for product prioritization and campaign strategy.
Spot unexpected drops
If an attribute value that typically ranks highly has moved down, it's worth investigating — whether it reflects a product change, a seasonal pattern, or a broader shift in customer behavior.
Compare across timeframes
Switch between Last 30, 90, and 180 days to distinguish short-term spikes from sustained trends. Changing the date range refreshes the table without losing your current selections.
Related articles
- The Customer Explorer — explore the same product attributes at the individual-customer level.