How Can Payment Providers Find 10 Real Buyers in 3,000 Chat Messages?

Signals to watch

Message describes a specific problem
not just a keyword
Urgency or a deadline in the message
Need not already resolved in the thread
Supplier comparison or quote request

Not everyone who mentions “Payment” is a customer. What really matters is spotting buying intent, not collecting keywords.

Disclaimer: This article is a simulated composite scenario compiled from common situations across the industry. It is not a named customer case study and does not represent real customers, contracts, or performance data.

Every day, Telegram hosts a flood of discussions about payments.

Someone is asking about payout solutions.

Someone is comparing different payment gateways.

Someone is complaining about a platform’s risk controls.

Someone is looking for a new PSP (Payment Service Provider).

Someone else is just forwarding industry news.

For payment service providers, these chat logs really do hide customers.

But here’s the catch:

The people actually worth contacting are usually a tiny minority.

A Day’s 3,000 Chat Messages May Hold Only 10 Real Opportunities

A cross-border payment team once shared how they work.

Every day, they monitor hundreds of Telegram groups.

Including:

Cross-border e-commerce
Independent (DTC) stores
Ad spend / performance marketing
Web3
SaaS
Foreign trade
Overseas expansion startups

A bot keeps pushing keyword alerts:

Payment

Stripe

PSP

收款 (payouts / collections)

PayPal

Checkout

Gateway

Merchant Account

…

By the end of the day, the total passes 3,000 chat messages.

Yet the sales team finds:

Fewer than 10 are worth contacting.

The problem isn’t too few customers.

It’s too much noise.

Why Keyword Monitoring Is No Longer Enough

Many teams’ first reaction is:

“Then add more keywords.”

In reality, that usually just produces more useless information.

Consider these messages:

Stripe updated its policy again.

Does anyone know the fees at XX payment company?

Sharing a payment industry report.

Another batch of merchants got frozen today.

All of these contain keywords like Payment or Stripe.

But none of them means someone is buying.

If sales reads all of them, it only burns a lot of time.

Real Buyers Talk Differently

People with a genuine purchasing need rarely stop at a single keyword.

They usually describe their problem.

For example:

Is there a PSP that supports local payments in Southeast Asia?

We’re preparing to enter the European market and need a new payout solution.

Stripe’s risk control is too strict. Any alternatives?

Who can handle payouts for high-risk industries?

Is there a platform that supports multi-currency settlement?

Behind messages like these hides the same signal:

They are looking for a supplier.

Not discussing the industry.

The Same Sentence Can Mean Very Different Things

Consider two examples.

Scenario One

Stripe is reviewing accounts again.

This reads more like industry discussion.

There’s no need for sales to reach out immediately.

Scenario Two

Stripe suspended our payouts and we urgently need a new payment solution.

Stripe is mentioned again.

But the meaning is completely different.

This message carries three important pieces of information:

A problem already exists
They are actively looking for a solution
Time is tight

For a payment service provider, this is a priority opportunity worth following up on.

What Really Eats Sales Time Is Judging Leads, Not Contacting Them

The daily workflow of many salespeople looks the same:

Get an alert.

Open Telegram.

Look through the chat log.

Scroll up dozens of messages.

Keep scrolling.

Judge whether it’s a customer.

Decide whether to reach out.

Repeat hundreds of times.

At the end of the day, the messages actually sent might number just a few.

In other words:

Most of a salesperson’s time isn’t spent selling.

It’s spent screening.

Context Decides Whether a Lead Is Still Worth Anything

Suppose you see this message:

Can anyone recommend a stable payment gateway?

It looks like a decent opportunity.

But keep reading.

Someone replies:

Already resolved. Thanks, everyone.

Or:

We’ve already started working with XXX.

By then, reaching out is probably too late.

Without the full context,

sales sees only a keyword.

With context,

you can judge whether it’s still worth investing your time.

Not Every Request Deserves an Immediate Message

Good salespeople don’t send a DM the moment they spot a need.

They pay attention to a few questions:

Is this need real?

Does the customer have budget?

Is the need clearly defined?

Has someone already closed the deal?

Is now the right moment to reach out?

Very often,

contacting one fewer wrong customer matters more than contacting ten more ineffective ones.

Can AI Do the First Round of Screening for Sales?

As chat volume keeps growing,

more and more teams are asking one question:

Can AI make the first judgment call for sales?

For example:

Which messages are just industry talk?

Who is complaining about a product?

Who is comparing suppliers?

Who is asking for quotes?

Who is already ready to buy?

Which customers should be contacted today?

Which can wait until next week?

If this work happens in advance,

sales no longer faces 3,000 chat messages a day.

Instead:

10 people who are truly worth talking to.

From Keyword Monitoring to Opportunity Recognition

For the past few years, many teams have been doing the same thing:

Monitoring keywords.

But more and more companies are realizing:

What really matters isn’t knowing who mentioned Payment.

It’s knowing:

who is looking for payment services.

Between the two

lies buying intent.

Only by understanding why someone posted that message,

whether their problem has already been solved,

and whether an opportunity still exists,

can chat logs actually turn into sales leads.

How TOP Prospect Helps Payment Teams

TOP Prospect’s goal isn’t to show sales more messages.

Quite the opposite.

It helps teams identify customers with genuine buying intent from large volumes of Telegram conversations, preserve the full chat context, and prioritize leads by urgency, problem type, and business value.

Sales no longer spends hours scrolling through chat logs.

Instead, time goes to the people who actually need to talk.

TOP Prospect processes only Telegram groups the user has authorized and connected. Its outputs are evidence candidates, not facts — they go through human review and support, they don’t replace a salesperson’s judgment, and TOP Prospect does not automatically contact group members.

A Final Word

For payment service providers, the biggest competitor has never been another payment company.

It’s time.

When a customer publicly looks for a payment solution,

they don’t wait for all suppliers.

They usually start talking with whoever understands their need first.

So the real advantage isn’t monitoring more groups.

It isn’t collecting more keywords either.

It’s finding, across thousands of chat messages,

the 10 people who are actually ready to buy — faster.

Why Are You Monitoring Hundreds of Telegram Groups and Still Can’t Find Real Customers?