Ankka turns the tracking your store already runs into a knowledge base AI agents investigate and keep learning from — to find what is hurting your store, prove it, and fix it.
Findings, receipts attached.
From the store Ankka was built on. Every claim links to the query that proved it and gets re-checked against live data. When a finding turns out wrong, it is superseded on the record — never silently deleted.
Ad spend
73% vs 29%
Bidding ran on fantasy margins
Profit-based bidding was told the store runs a 73% margin. The real number: 29%. Two separate feed bugs — both found, both measured, decision made in a day.
Evidence: BigQuery × product feed · re-runnable
Lost attribution
1 in 7
Express orders invisible to every pixel
The payment app returns buyers to a different browser, so the thank-you page loads with no cookies — no consent, no click ID, no purchase event on any platform.
Evidence: GA4 export × orders DB · confirmed in OS docs
Broken signal
0 kr → 20/20
Every wallet order reported zero
A race in core code sent 0 kr conversions on every mobile-wallet order. Found the exact line, shipped a shadow fix, verified live on 20 of 20 orders the same evening.
Status: fix verified live · same day
Don't pay tracking tools for data you already have.
Sitting in your GA4 export right now:
Site search terms
Searches that returned nothing
The position each product held in a list
Product detail views per SKU
Add-to-cart rate per product
Remove-from-cart events
Cart-to-detail ratio
Purchase-to-detail ratio
Drop-off at every checkout step
Which shipping tier they chose
Which payment method they chose
Coupon codes applied
Promotion views and clicks
Refunds, per item
Item-level revenue
Variant, brand and category depth
First-time vs. repeat purchaser revenue
Days between first visit and purchase
How many sessions it took to convert
Landing page for every session
First user source vs. session source
Campaign, content and term from every UTM
Conversion rate by device
Consent state per session
JavaScript errors as exception events
Site search terms
Searches that returned nothing
The position each product held in a list
Product detail views per SKU
Add-to-cart rate per product
Remove-from-cart events
Cart-to-detail ratio
Purchase-to-detail ratio
Drop-off at every checkout step
Which shipping tier they chose
Which payment method they chose
Coupon codes applied
Promotion views and clicks
Refunds, per item
Item-level revenue
Variant, brand and category depth
First-time vs. repeat purchaser revenue
Days between first visit and purchase
How many sessions it took to convert
Landing page for every session
First user source vs. session source
Campaign, content and term from every UTM
Conversion rate by device
Consent state per session
JavaScript errors as exception events
GA4 collects it. The interface buries it. Ankka's agents read it raw.
How it works
01
Tracking audit
We check what you track today and how much of it is actually true, then help you implement what is missing. The audit is yours to keep either way.
02
Investigation
Agents work through your data and build a knowledge base: findings with the evidence attached, confidence levels, and wrong turns superseded on the record.
03
Fix plans
Each issue becomes a short brief you hand your developer — what is broken, the proof, the steps, in order. A plan, not a hunch.
04
Verify & repeat
On a schedule, agents watch fixes land, measure the impact, and re-check old findings against live data so the knowledge base stays true.
Pricing
First 10 customers
$49/ month
Locked in for life.
Tracking audit, and help implementing the fixes
A knowledge base of verified findings, maintained by agents