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Sales Intelligence

Sales Intelligence gives you a product-level view: which items in your catalogue generate the most abandonment, which convert best, and where there is a real opportunity to recover revenue. It is an analytics page — it does not change any store settings on its own.

You’ll find the page under Sales Intelligence, in the GROW SALES section of the menu. It is divided into four tabs: Products, Actions, Adjustments, and History. A Date range picker at the top applies the selected period to the analysis tabs.

This is the overall performance view of your catalogue for the selected period.

When you open the page you see the most important numbers for the period. Recovered Revenue is highlighted, with the comparison to the previous period, and the other indicators sit next to it:

IndicatorWhat it shows
Recovered RevenueRevenue from customers who abandoned and purchased within 7 days of being contacted by Infynia.
Total Sales RevenueSum of direct (organic) sales and sales recovered by Infynia in the period.
Direct RevenueRevenue from purchases with no prior abandonment — the customer added to cart and bought without needing recovery.
Lost RevenueValue of abandoned carts that did not convert within the 7-day attribution window.
Average Order ValueAverage value per order, including both direct and recovered sales.
Recovery RatePercentage of abandoned carts that were recovered. Uses the same criteria as the Dashboard.
Conversion RateOf the carts, the percentage that became a sale (direct + recovered purchase).

Right below, short sentences sum up what stands out in the period — for example, how much of your revenue comes from your top products or which product is trending up.

Below the cards, the Sales Evolution chart shows the daily evolution for the period: direct (organic), recovered, and lost revenue, day by day.

Complementary panels help you spot patterns:

  • Where to Focus Recovery — products with the best return potential for a recovery campaign, based on lost revenue and historical recovery rate.
  • Acquisition Mix — how much of the period’s revenue came in directly and how much Infynia recovered.
  • Top Abandoned Products — products with the highest lost revenue from abandonment.
  • Best Sellers — products with the highest sales revenue.
  • Trending Up / Trending Down — products with growing or declining sales compared to the previous period.

The Product Performance table lists all products with data in the period. The columns show:

  • Product — name and image (when available).
  • Conversion % — of carts containing the product, how many became a sale (direct + recovered).
  • Recovery % — of abandoned carts with the product, how many were recovered within 7 days.
  • Lost — revenue lost to unrecovered abandonment.
  • Sold — total sales revenue for the product.
  • Price — when Infynia has your store’s catalog data, it shows the current price; right below, the average price observed in carts.

You can sort the table by any column. Only products observed in orders tracked by Infynia appear here — products without cart records are not listed.

Clicking any row in the table opens the Product Analysis panel with a detailed analysis of that product: evolution over the period, individual KPIs (sales, lost, recovered, conversion, recovery), and the available actions for it — Recover abandoned carts (a campaign for people who abandoned a cart with the product) and Win back buyers (a campaign for people who bought the product before and went quiet).

The Actions tab shows opportunity cards suggested by Infynia based on the data for the selected period. Each card represents a high-impact play — for example, reaching buyers who abandoned a specific product, or winning back customers who bought previously and went quiet.

Each action card includes:

  • The category of the action (Recovery, Win-back, Pricing, Trend, or Relist).
  • The reference product, with name and image.
  • The estimated impact in revenue.
  • The audience size — how many customers the action would reach.
  • Supporting context such as lost value, number of carts, and average price.

Each card has a Create campaign button (or Create campaign (≈N customers) when the audience size is known). Clicking it opens Broadcasts pre-filled with the audience for that product and action — you only need to choose a template and confirm the send.

If the period does not have enough data to generate suggestions, the tab tells you there are no actions available right now. Try expanding the selected period or wait for more data to accumulate.

Infynia automatically monitors the catalogue and can detect variations of the same product with slightly different names (for example, the same item listed with different SKUs or spelling variants). When this happens, metrics appear fragmented instead of consolidated.

The Adjustments tab is where you decide what to do with each duplicate suggestion.

For each possible duplicate, you see:

  • The two (or more) records Infynia identified as possible variants of the same product.
  • The impact: how many abandoned carts and how much lost revenue are fragmented between them.

For each suggestion, you can:

ActionWhat it does
Confirm (same product)Merges the metrics of the records into a single product. You choose which one is the “main” (canonical) record.
Not the sameKeeps the records separate. The suggestion will not appear again.
Merge with another…Lets you search the catalogue for another product to merge manually, beyond the suggested candidates.

After confirming a merge, metrics are recalculated automatically within a few minutes.

Below the pending suggestions, the history lists decisions already made. You can undo any previous decision at any time — the suggestion returns to the pending list.

At the bottom of the page there is a list of product groups already consolidated into a single metric. You can search by name or alias and see which records were merged.

In the History tab you use Import purchase history to bring older orders from your platform in through a spreadsheet (CSV). That way you can build audiences of people who bought months ago and went quiet — for example, for a win-back broadcast. Importing never sends a message and doesn’t count against your plan’s contact allowance.

  1. Export the orders from your platform as a CSV spreadsheet. The first row must have the column names.
  2. Choose the file. If you have more than one platform connected, say which one the spreadsheet came from.
  3. Check which column matches each field. Order number, Phone, Payment date, and Order total are required; Name, Email, Product, Quantity, Unit price, and Currency are optional. Infynia suggests the columns, but you’re the one who confirms.
  4. Click Looks right, import it. The import can take a few minutes — you can keep using the app.

At the end you see how many Orders imported, Orders updated, orders Already here (because your store had already sent them), and rows with No contact details or with a problem. Orders without a phone stay in the history but don’t enter WhatsApp audiences; orders without a payment date only count toward knowing whether the person has ever bought.