Analytics & Insights
Twenty reports.
Every one ends in a decision.
No dashboard to assemble, no data team to ask. These ship switched on, computed from your own identity-stitched data, on one date window, and each one names the move it is asking you to make.
Questions this answers
- Which channel produces buyers who come back?
- Where does the funnel leak, and what does a point of it cost?
- How long does a product take to be re-bought?
- Which ad, not which campaign, brought the buyers?
Channels and campaigns
Every role a channel played, as four bars per channel.
First touch, middle, last click and assisted revenue, per channel, with the overlap drawn as a venn you can hover. Campaigns grouped by channel, filterable by source, drilled to ad set and ad. Retargeting windows measured from how fast buyers actually decide.
- Channels and Campaigns as two clean tabs
- Solo role and helper badges on the channels table
- Retargeting windows from real decision speed
- Search on every table
Revenue
₹0
Attribution coverage
0%
Avg match quality
0/100
Google Ads
Paid search
Meta Ads
Paid social
Owned
Organic search
Earned
Direct
Unknown
Funnels
The biggest leak, named and priced.
View, cart, checkout, purchase, per channel, per campaign and per product. The store funnel, the price of each leak, and a campaign that opens its own funnel. Mid-checkout steps are captured, so a leak between address and payment is visible.
- The store funnel and the price of a point of it
- By campaign, grouped by channel
- By product
- New against returning across the funnel
Time from first touch to order
Visits before buying
Set retargeting to at least 15.3 days.
A shorter window stops paying before nine in ten buyers arrive; everything past it is spend on people who already bought.
Customers
Customer value, retention by channel, repeat timing.
Lifetime value by the ad that first found them, LTV to CAC, payback. Retention by acquisition channel, month by month. How long each product takes to be re-bought, so the replenishment nudge lands on the actual cycle. Prospecting: new against returning visitors, with the count beside every share.
- Acquisition cohorts aged from their own first order
- Paid and earned as separate lists
- Repeat purchase timing per product
- Prospecting collapsible by channel, sortable by any column
Mobile visit
Instagram in-app browser
Desktop visit
Google Ads click
Email click
newsletter, 6 days later
Customer profile
3 devices · 4 orders · first touch: Meta Ads
Lifetime value
₹0
The rules every report obeys
One window. Counted priors. Every number checkable.
One date picker in the top bar governs every report. A prior period is a counted row, never a projection. A comparison that cannot be made is said rather than substituted. Every column has a plain-English name and every explanation is findable. Nothing before the day data started flowing, and the picker cannot offer it.
- Twenty reports, one contract, every workspace
- Plain-English column names
- Drill from channel to campaign to ad set to ad
- Report caching: a revisit is instant
brand search
₹33,480 spent · ₹1,44,720 back
cheapest growth
retargeting · DPA
₹37,350 spent · ₹1,43,460 back
well past the line
magnesium search
₹55,890 spent · ₹1,37,430 back
profitable
pmax · bestsellers
₹1,13,130 spent · ₹2,33,280 back
just above it
prospecting · advantage
₹1,62,180 spent · ₹1,57,320 back
under break-even
generic supplements
₹1,46,610 spent · ₹39,420 back
loses every order
Inside the module
The twenty
Grouped the way a question is asked: where the money came from, who the customers are, what happens on the store, what we sent back, and what to do next.
Where the money came from
Attribution by channel, Action report, spend and measured ROAS, conversion lag
Who the customers are
Profiles, retention by channel, repeat timing, segments
What happens on the store
Funnel by channel, time to buy, product performance, browse vs buy
What we sent back
Event stream, match quality, tracking health, recovery earnings
What to do next
Today’s Actions, What We Found, Customer Value, Profit & Economics
Insights
Product, Channels, Campaigns, Retention, Funnel & engagement, Timing, What’s working, Arrivals, Prospecting, Identity
Open one of them at full size from the homepage: the verdict in words, the arithmetic under it, and the budget change it argues for.
The other modules
Attribution
Every order credited to the ad that earned it, with the receipt and a match score.
OpenGrowth intelligence
Command Center, Today’s Actions and What We Found: what to do on Monday, priced on your costs.
OpenAudiences
Segments from behaviour the store records, sized against what Meta can match before they sync.
OpenRecovery
The checkout they abandoned, won back on WhatsApp or email. Counted, never claimed.
OpenEvery report, switched on
Twenty reports.Zero dashboards to build.
Connect the store and they compute from your own orders. One date window, the same in every one.