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day 1 · 2:20 pm · asked the price and vanished

AI online

Did the client ask the price and go quiet?

The client went quiet.
The AI brought her back to pay.

Unpaid links, silent leads and a sleeping base each get a personal touch with context, not a mass blast.

3 days free on any plan. No card required.

day 3 · 11:00 am · a gentle return

Not "you forgot to pay" but a continuation of the conversation

the work you hand to AI

Follow up automation: the work you hand to the AI

Follow up automation hands the AI the work of the warm-but-silent base: unpaid links, leads who asked the price and vanished, old contacts. The owner gives the machine what a rep buried in new requests never gets around to — even though many of these people were one message away from paying.

The AI notices the pause on its own, pulls the context from the CRM and comes back with a personal message and a fitting reason, not a rote "you forgot to pay." It remembers what the person asked about and what gave them pause, so the touch reads as care, not as spam from a mass blast.

For pulling money back out of the base, the Growth plan fits: an AI teammate, follow-ups and reactivation, the CRM in one window. It pays for itself on the first recovered payments, because the money is already sitting in your base: these clients were paid for once with advertising, and the repeat sale is the most profitable one you will make.

day 3 · the AI watches for pauses on its own

The follow-up wakes on a trigger, not on a rep's memory

The AI spots the pause, reads the context from the CRM and brings the client back with a personal message.

why this happens

Why follow up automation works where a rep's memory does not

A client who asked the price and went quiet almost never actually said no. She is comparing, asking around, waiting for payday, or simply got pulled back into life. But in the reports her silence looks like a no. So the people closest to buying quietly settle into the chat archive without a single attempt to bring them back — even though they were one step from the purchase.

A rep honestly means to write to each one. But there are dozens of live conversations, and memory only reaches as far as yesterday. Sticky notes and "who to remind" spreadsheets last a week, then give up. So a follow-up run on memory always loses to the flow: new requests eat all the attention, and yesterday's warm ones cool to ice-cold. And the better the ads work, the faster yesterday's list sinks.

A mass blast of "you forgot to pay" seems like the way out, but it hits everyone the same and reads as spam. Only a message that remembers a person's history can bring them back: what they asked, what gave them pause, what matters to them. Follow up automation is the continuation of a conversation, not a reminder about a debt. Only that kind of touch helps someone decide instead of annoying them.

day 4 · the payment came in

An online school won back +13% of payments from its base this way

An illustration of the scenario. Real numbers and details are in the case study.

Case Online School: +13%

what changes

What changes when the system tracks the pauses

No silent conversation decides its own fate anymore. The AI spots the pause, pulls the context from the CRM and comes back with a fitting reason. So winning a client back no longer depends on whether a person happened to remember them in the rush.

The base turns from an archive into an asset: the people who "were thinking about it" a month ago get a second touch, and some of them reach payment with no new advertising. These are the most profitable sales in the company: these clients are already paid for.

Reps stop living with guilt over the ones they never chased. The "should really write to them" list is run by the system, and people get conversations that are already alive and clients ready to pay. The discipline of following up no longer depends on how busy the team is.

how much it costs

$179 /mo

The Growth plan: An AI teammate, follow-ups and reactivation, up to 3 channels, the CRM and 300 conversations a month. The money is already in your base: it pays for itself on the first recovered payments.

what people ask before launching

Will this look like spam?

The script is built around the segment and the client history. The AI writes with context and stops the moment the person is not ready to go on.

Can it chase down payments?

Yes. That is one of the main scenarios: an unpaid link, an abandoned order, a pause after a consultation or a webinar.

How do I measure the effect?

Look at recovered payments, bookings and meetings, and the decline reasons, against the cost of the plan and the campaign.