Сheck out signal replaced trade shows for an open-banking platform

Aug 3, 2026

By Artyom Jurkevich, Founder & CEO, RevSculpt

The client is an open-banking platform. Instead of paying by card, the buyer pays straight from their bank account: they see their bank, confirm the login, and the transaction goes through.

For an online store that means a lower fee than cards and fewer failed payments. The platform connects to 2,000+ banks across 28 countries and sells to online stores that don't yet offer this payment method.

Before us, everything rested on industry trade shows. Few believed email would work. In low-risk payments, the common assumption was that clients were not found that way.

The task was to build a repeatable digital channel that works across dozens of countries at once and holds up at volume.

Results:

Up to 200 qualified leads per month
~60,000 emails per month at 95-98% deliverability
28 countries, with messaging localized to each country's top-5 banks
Reporting in leads and SQL. We have no access to the client's payment platform, so we don't attribute processing volume

Why email doesn't work in payments without a signal

In the payments industry, few people trust email, and for good reason.

A generic blast, “we have a great payment product, let's hop on a call”, sinks in this niche: the recipient sees dozens of those a week.

Most go out with no reason at all, and it's unclear why this particular store was written to.

Things change when an email carries a concrete reason: a visible sign that this store needs the product right now.

In open banking, that sign sits on the surface, you just look at how payment is set up on the site.

How we qualify stores by their checkout

The basic idea was simple: qualify stores by how their checkout is built.

A store that accepts cards only and has no direct connection to banks is a candidate.

Reviewing a base of thousands of online stores that way by hand is practically impossible. So we built the technical infrastructure for it, an agent that did an analyst's job at scale:

Opened the store's site and parsed its payment flow, which payment methods are available at checkout.
Detected the absence of a direct bank connection, open banking, along with the current payment methods.
Recorded which payment methods the store uses today and which country it operates in.

The message was built on that, straight to the point: “you accept cards only; we connect you directly to the top 5 banks in your country, a lower rate than cards, fast integration.”

The store received an email about its own checkout, specific and on target.

Outreach ran multichannel: email and LinkedIn in a single sequence, since email alone won't carry that reach.

Building the list: Store Leads and local sources

To find such stores across 28 countries, one database isn't enough.

The starting points:

Store Leads. A catalog of online stores with data on their platform and tech stack.
Local classifieds and directories in each country. To surface stores missing from global databases.

Then classification: whether the store has open banking, which methods it accepts, which country it operates in.

Only after that did a store enter the right segment and receive a localized message.

Localizing the signal across 28 countries

“We'll connect you to banks” is an empty phrase if the banks are wrong.

The strength of the message was its locality: for each country we named its own top 5 banks the platform connects to.

A buyer in that country pays through a bank they already know, and the store sees that we understand its specific market.

The deliverability infrastructure behind 60,000 emails a month

At that volume, deliverability has to be treated as a separate engineering problem.

If emails land in spam, neither the signal nor the localization helps.

So for the client we built a system that constantly repairs itself:

Automated deliverability checkers. Continuously verify that emails arrive and flag where things dip.
Automatic replacement of “dead” inboxes. Burned mailboxes are swapped for pre-warmed ones with no pause in sending.
A DNC list with regular refresh. Anyone who shouldn't be emailed is filtered out before send.
OOO handling. “Out of office” auto-replies are recognized and don't clog the pipeline.
Multichannel. LinkedIn and email run in a single sequence per contact.
A per-client operating system. A layer that tracks spam words across all emails and improves wording over time.

The result of that engineering: a steady 95–98% deliverability at ~60,000 emails a month.

Results: 200 leads a month, reported in leads

The combination of a checkout signal, localization, and infrastructure reached up to 200 qualified leads a month at a strong response rate.

An honest note on the metric: we report in leads and SQL, not in processing volume.

The client's platform is closed and the agency has no access to its transaction data, so we won't claim processing turnover as ours.

We did target stores with real traffic and meaningful volume, where adding a new payment method has an immediate effect.

Key lessons: outbound for a payment platform

In payments, email comes alive only with a signal. On its own, the channel is burned out by blasts. A concrete reason, a visible gap in the checkout, turns an email from noise into a relevant offer.

A signal you can read from the website scales. The payment flow is visible from the outside, so a single agent covers tens of thousands of stores across 28 countries with no manual research.

Locality beats a global template. A specific country's top 5 banks in the email work harder than an abstract “we'll connect you to banks.”

At large volume, everything rests on infrastructure. 60,000 emails a month survive only because deliverability is engineered separately, inbox replacement, DNC, OOO handling, spam-word tracking.

When this approach doesn't apply

The signal isn't visible from outside. Here the reason read straight off the site. If a need can't be detected without access inside the company, you need a different signal source.

Too few target accounts in a country. The approach lives on store volume; in a tiny market the math doesn't work.

You need revenue attribution. If the client expects reporting in turnover and there's no access to its platform, it's more honest to agree on leads and SQL up front.

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FAQ

How do you find online stores for a payment product across several countries? Through a signal visible on the site. We parsed each store's payment flow with an agent, detected the absence of open banking and the current payment methods, and built the list via Store Leads plus local catalogs in each of the 28 countries. That makes the work repeatable without manual research per market.

What is a signal in payment outreach and why does it matter? A signal is a visible sign that a company needs your product now. For open banking it's the absence of a direct bank connection at checkout. An email built around that sign stops being a blast and becomes a precise offer.

How do you hold deliverability at tens of thousands of emails a month? At that volume deliverability is engineered separately: automated arrival checks, automatic replacement of burned inboxes with warmed ones, a DNC list, OOO handling, and spam-word tracking. In this project that held 95–98% at ~60,000 emails a month.

Why do you report in leads rather than turnover? Because the client's payment platform is closed and the agency has no access to transaction-volume data. Claiming someone else's processing as ours would be wrong, so we report in qualified leads and SQL — what we're actually responsible for.