Which customers still have money left in them
Valkiria predicts lifetime value per buyer, shows how each cohort keeps coming back month after month, and splits the base into seven RFM segments. All of it runs on the orders from your connected store, with no manual exports.
01What hurts
Why budget keeps chasing customers who are never coming back
Every customer looks the same
Reports carry revenue and order counts, but not who will buy again and who is already gone. Advertising pushes just as hard on both.
Nobody measures retention
You know how many customers arrived this month. You do not know how many of March's buyers still order — and that is where the real economics live.
Churn gets noticed too late
A regular buyer stops ordering and it stays invisible until the monthly revenue dips. By then the moment to win them back has passed.
Scroll to see it work
Customer analytics in four moves
- 01Scattered
Without Customer analytics, this work is spread across spreadsheets and tabs.
- 02Connected
Customer analytics reads the accounts and data you have already connected.
- 03Found
It highlights what matters now, with the evidence behind it.
- 04Approved
You decide what happens next: what applies on its own and what waits for approval.
02How it works
Three steps to a customer base you can read
- 01
Connect the store
Shopify connects over OAuth, WooCommerce over store keys. Orders and customers sync into Valkiria and become the basis for every calculation.
- 02
Read the predicted LTV
The module works out average order value, purchase frequency and expected lifespan per customer, then sorts the base into value segments.
- 03
Work through cohorts and RFM
The heatmap shows how each cohort returns, and RFM says who to keep, who to win back, and who is not worth chasing any more.
03What you get
What you get about your customer base
Predicted lifetime value per customer
Average order value, purchase frequency and expected lifespan collapse into one number you can hold against acquisition cost.
01Total predicted revenue
How much money the current base is expected to bring, and how that sum spreads across the value segments.
02Cohorts by month of first order
A retention heatmap: what share of each cohort comes back in the first, second and tenth period after their first purchase.
03Seven RFM segments
Champions, loyal, potential, new, at risk, hibernating and lost — each with its share of the base.
04A numeric portrait of each segment
Every segment carries its average recency in days, its average purchase frequency and its average spend.
05An early churn signal
A customer with no order for more than 90 days is flagged at risk automatically — before the monthly report notices anything.
0604In numbers
- 7
- RFM segments the customer base is split into
- 3
- views of the same customers: LTV, cohorts and RFM
- 0
- changes made to your store — the module only reads orders
Who gets what
What each type of client takes away
What you connect
- Ad accounts
- Analytics
- Website
- Bank & invoices
What Valkiria does
- 01Collect spend and results
- 02Find leaks and gaps
- 03Propose next steps
What you get
- Action plan
- Owner report
- Spend control
See every ad budget and what it returns, without opening five dashboards
Google, Meta, TikTok and the rest in one view, in your currency, with results next to costs.
Findings turn into a prioritised list of next steps with the evidence behind each one.
New campaigns are created paused. Edits to live campaigns stay off until you switch them on for an account; deletions and new spend always wait for approval.
Modules that do the work
05FAQ
Questions about customer analytics
06See also
All modulesStart now
See who comes back and who already left
The module only reads the orders of your connected store and changes nothing inside it. Connecting takes a few minutes.