Revenue intelligence for subscription and carrier billing
Know which customers were worth acquiring. Before you buy more of them.
Spend sits in one system, revenue in another, and churn in a third. Nobody in the business can say which channels and campaigns actually made money. We build that answer, and we put it in writing.
The problem
Blended numbers hide the decisions
Blended CAC, blended ARPU, a single churn rate. Averaged together, the channel that funds the business and the channel that quietly drains it cancel each other out, and the report stops telling anyone what to do on Monday. The numbers are usually all present somewhere: in the billing platform, the acquisition reports, the carrier settlement files. They are just never joined on the same definition of a customer.
4.2x on spend
Affiliate portfolio
Fund it
0.7x on spend
Paid social, broad targeting
Cut it
Break-even, day 94
Carrier portal placements
Watch the payback
Illustrative example. Not a client figure.
See what we answer
What you get answered
The questions your reporting does not answer
These are commercial questions, not analytical ones. They get asked in board meetings and budget reviews, and they usually get answered with an educated guess because the underlying numbers live in systems that were never joined.
Where the money goes
- Which acquisition channels generate profitable customers?
- Which campaigns deserve more investment?
- Which campaigns should be discontinued?
What a customer is worth
- When does a customer reach break-even?
- What is the projected lifetime value of the customers we acquired this month?
- Which segments deserve additional investment?
Where revenue leaks
- Why are customers leaving?
- Where are we leaking recurring revenue?
- How healthy is the subscription base underneath the growth?
What we do
Six connected views of the same customer
One customer base, one set of definitions, six questions asked of it. These are not separate products bolted together. They run on the same joined view of your customers, which is why the answers reconcile with each other instead of contradicting across decks.
Acquisition Intelligence
Spend where the profitable customers come from
Cost per acquisition is easy to report. Cost per profitable acquisition is the one that changes the media plan. We attach realised revenue back to the channel, campaign and placement that brought each customer in.
Customer Lifetime Value
Know what a new customer is worth before they prove it
Waiting twelve months to find out whether a cohort was worth buying is not a strategy. We project the value of customers acquired this month from the behaviour they have already shown.
Break-even Intelligence
Know the day a customer starts making money
Every acquisition is a loan to yourself. Payback timing decides how fast you can scale spend, and how much runway a campaign really needs before you judge it.
Campaign & Channel Intelligence
One honest number per campaign, across every source
Aggregator reports, carrier settlements and ad platforms each count a conversion differently. We reconcile them onto one definition, so channel performance can be compared instead of argued about.
Churn Intelligence
Keep the customers who are actually worth keeping
Not every cancellation deserves a save offer. We rank why customers leave, which causes the evidence says you can move, and which cohorts carry enough value to be worth the intervention.
Executive Revenue Reporting
Answers a commercial director can defend
Every figure traces back to the behaviour behind it, in language that survives contact with a board. No scores your team is asked to trust without explanation.
The proof
A forecast nobody owns is an opinion with charts.
Revenue forecasts are cheap to produce and almost never scored afterwards. So the first thing we hand over is not a dashboard. It is a number we can be held to.
1
Seal
We commit the forecast to a hashed, timestamped file before you act on any of it. Nobody edits it after that point, including us.
2
Declare
We state the accuracy we expect, in writing, before a single result comes in.
3
Open
Thirty days later we open the seal against what actually happened. Live. No retrofitting, no quiet edits.
Opened live, day 30
87%Declared
89%Actual
If it earns it, standing monthly reporting starts. If not, you keep the report.
Illustrative example. Actual accuracy is declared and verified against your own data.
Why not a dashboard
A dashboard reports what happened. It will not tell you what to fund.
BI tools and marketing dashboards
They visualise what each system already holds, on that system's own definition of a customer, a conversion and a month. Quick to read, and silent on the question the budget actually turns on: which spend produced customers worth having.
KeelShift™
We reconcile those systems onto one definition, answer the commercial question directly, and say plainly when your data will not carry the conclusion. You get a decision with its reasoning attached, not another tile to interpret.
Why us
We have run these numbers from inside the operator
Mobile VAS, carrier billing and digital content, from the inside rather than from a case study. We have owned the CRM, churn and lifetime-value models in a major operator’s value-added services business, chased revenue that the aggregator report and the settlement file disagreed about, and defended a payback number to a commercial director who had every reason to doubt it. The analytical methods are on everyone’s shelf. Knowing how a carrier-billed subscription actually behaves in the data, and where that data lies to you, is the part that is hard to hire.
About Us- Senior practitioners who have run acquisition, churn and lifetime-value analysis inside telecom, VAS and iGaming operators.
- Explainable by design. Every figure traces back to the customer behaviour behind it, so your team can check the reasoning instead of trusting a score.
- Your data, your terms. Hashed IDs by default, EU processing, deleted after analysis. On-premise available.
The offer
Five Design Partner spots, first-mover terms
Design Partners get the diagnostic run on their own data at first-mover terms, with the sealed forecast as the next step. Send an extract and know within a week which of these questions your data can already answer, and which ones it cannot yet.
