Activated, not signed up
Rank channels by accounts that actually process volume and the revenue they generate.
For Fintech & Payments
Which channels produced merchants who transact?
Match activated accounts and the revenue they process to the campaigns that produced the signup — because a signup that never transacts is not a customer.
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Fintech & Payments workspace FY2026
Processed revenue traced to a channel
$840,000 56% of $1,500,000 paid
- Google Ads $405,000 · 27%
- LinkedIn Ads $240,000 · 16%
- Email marketing $195,000 · 13%
- Direct / Unknown $660,000 · 44%
Direct / Unknown is shown, never shared out across the channels above.
Google Ads · LeadFY2026 14 · (•••) •••-0134
Closed sale · FY2026 27$2,400
Matched · high confidence
The blind spot
What's actually happening
Signups are cheap and most never activate. The accounts that do process volume are worth a great deal, and signup counts cannot tell you which channel brings them.
What you get
Built for Fintech & Payments.
Volume over time, not day one
Run over a longer range and processed revenue traces back to the acquiring channel.
Alongside your product analytics
This covers revenue, not in-product behaviour. The two answer different questions.
A worked example
The number you can take into a budget meeting.
Not impressions, not leads, not cost per click. Closed revenue, by the channel that produced it, for a period you choose — with the portion we could not trace shown rather than quietly shared out across your paid channels.
Total revenue$1,500,000paid processed revenue
Attributed to a channel$840,00056% of revenue
Average deal$2,400per paid sale
Match rate71%of sales matched
| Channel | Sales | Revenue | Share | % |
|---|---|---|---|---|
| Google Ads | 186 | $405,000 | 27% | |
| LinkedIn Ads | 84 | $240,000 | 16% | |
| Email marketing | 121 | $195,000 | 13% | |
| Direct / Unknown | 248 | $660,000 | 44% |
01
Activation is the only conversion that counts
Fintech acquisition is measured on signups because signups are instant and easy to attribute. Activation — the first real transaction — happens days or weeks later, and processed volume builds for months after that.
Ranking channels by processed revenue rather than signup count routinely inverts the picture. The cheapest signup source is frequently the one that activates least, and a channel with a third of the signups can produce most of the volume.
02
This is not a replacement for product analytics
Your product analytics measures what happens inside the product, and does it well. It cannot tell you which advertising channel produced the merchant now processing six figures a month, because that connection was made before the account existed.
CloseRev joins the acquiring channel to the revenue the account went on to generate. The two views sit side by side and answer different questions; they are not alternatives and the numbers should not be summed.
Why it matters
What changes when you can prove it.
You stop defending the budget and start growing it
"We generated 400 leads" invites an argument. "This channel closed $186,400 last quarter, here is the reconciliation" ends one. The teams that can show closed revenue by channel are the teams that get the next increase approved, because they are asking with evidence rather than with conviction.
You can cut the wrong channel without a fight
Killing spend is politically harder than adding it, because someone always owns the channel being cut. A number that reconciles to the sales export takes the argument out of the room — you are not overruling a colleague's judgement, you are reading the same ledger they are.
Your reporting survives the finance review
Platform-reported conversions do not reconcile to revenue, and eventually someone in finance notices. Reporting built from your own closed-sales export starts from the number finance already trusts, which is why it holds up when it is checked.
You answer in an afternoon, not a quarter
Because this reconciles exports rather than tracking visitors, it works on months that have already closed. You are not instrumenting now to learn something in ninety days — you can answer for last quarter today, which is usually when the question is being asked.
Honest answers
The pushback we hear from Fintech & Payments.
They say
We already have product analytics and attribution.
We say
Keep both. They measure in-product behaviour and click paths. This measures which channel produced accounts that went on to generate revenue, over a horizon longer than a session.
They say
Our volumes are very high.
We say
Aggregate by account and month before exporting. The match works the same and keeps the row count inside your allowance.
They say
Merchant data is regulated.
We say
The match needs a contact detail, a revenue figure and a date — no card data, no transactions, no PANs. Encrypted, isolated per workspace, deletable.
Pricing
Flat monthly pricing. No per-call fees.
The number here is the number on the invoice — no per-call, per-minute or per-form fees. Most payments, lending and financial infrastructure companies land on Enterprise — ten seats for the team and the highest monthly record allowance, since a year of closed deals is a lot of rows.
Enterprise
One business closing at volume
$499/mo
billed monthly
- 1 workspace · 10 seats
- 25,000 sales records / month (+$49 per 10,000)
- 24-month history
- Campaign drill-down and period comparison
- Single sign-on through your identity provider
- Your logo on every report
- Roles, permissions and guided onboarding
- Priority support
Questions
Questions we get about Fintech & Payments.
Anything else? Talk to us — a person answers, usually the same day.
Activated accounts with revenue: an account contact email, the revenue attributed to that account for the period, and a date.
Whichever your team plans on. Keep it consistent so period comparisons hold.
Include all signups as the source file and activated accounts as the sales file — the unmatched remainder is the channel's non-activating signups.
Yes, with a product column.
No. Those measure behaviour; this measures which channel produced revenue-generating accounts.
Aggregate by account and month before exporting.
Encrypted in transit and at rest, isolated per workspace, deletable in one click, DPA available. No card data is ever needed.
Yes. Nothing had to be installed at the time.
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