Three automations people buy, and how to sell them

Three automations people buy, and how to sell them

Automation as a subject produces 7% hot posts against a base of 11.6% — below average, and the cause is the presentation: people write about it as technology. Below are three things businesses actually buy, and the key to selling them.

Automation as a subject produces 7% hot posts against a base of 11.6% — below average, and the cause is the presentation: people write about it as technology. Below are three things businesses actually buy, and the key to selling them.

People write about automation as technology

I went through 6 502 posts from eleven channels in this niche over 19 months. Automation as a subject appears 42 times — not bad on the face of it.

But the share of hot posts on it is 7% against a base of 11.6%. That is, the subject performs noticeably below average.

The reason is visible if you look at how it is written about. Almost always as technology: here are the blocks, here is the connection, here is how to link a service.

For a reader who wants to earn, that answers none of his questions: who buys this, for how much, and what exactly is delivered.

Below are the three automations ordered most often. By demand rather than by how interesting they are.

1. Enquiries in one place

What people buy. A business receives enquiries from four or five sources: a form on the site, email, a messenger, social media, sometimes the phone. Each lives in its own place and some get lost.

The automation brings it all into one spreadsheet or system, with a notification for each new one.

Why this comes first. The owner knows his revenue and does not know his losses. An enquiry that arrived in the wrong place exists in no report — it cannot be counted or recalled.

How to approach the client. Not with an offer of automation. With a question: how many enquiries arrive outside working hours and what happens to them.

That single figure settles the question of necessity faster than any presentation.

What is delivered: consolidation of the sources, notifications, a simple dashboard with a counter, instructions.

The catch: the client often does not know all his own sources. The first step is not assembly but an inventory: where can people write to you at all.

2. Bringing existing clients back

What people buy. A reminder to those who have not been in touch for a while, with the ability to book or order in one touch.

Why this pays back fastest of the whole set. These people have already bought. They do not need convincing, do not need bringing in by advertising, do not need telling who you are.

The typical situation in an offline business: once a year the owner remembers the base, asks somebody to ring round, and it fizzles out within a week. Or he hires a remote worker who does an hour a day.

How to calculate the benefit with the client. Take his base, estimate how many people have not been in touch for six months, and multiply by the average sale. Even at a return of a few percent the sum usually exceeds the cost of the work several times over.

What is delivered: the selection rule — who to remind and when, the message texts, the sending mechanic, tracking of responses.

The catch: the texts. A reminder that reads like a bulk mailing works against you. It has to be about a specific occasion and a specific due date rather than "we have a promotion".

3. Regular reporting

What people buy. Collecting data from several sources on a schedule, consolidating and sending it.

Why people order it. Not to save an hour. So that the report starts existing at all. Most small companies have no regular reporting whatsoever — not because they do not want it but because somebody has to be interrupted every time.

How to approach it. Ask which figures the manager would like to see every week and why he does not. The answer is almost always "never quite got round to putting it together".

What is delivered: the sources, the consolidation rules, the schedule, the output format, a failure notification.

An important catch: first you have to agree which figures exactly are needed. A client usually names ten and actually looks at three. A report with ten indicators does not get read at all.

What all three have in common

Not one is about complex technology. All three are about what is not being done at all rather than about speeding up something existing.

That is the key to selling. Automation that speeds up something already happening sells badly: the client counts the hours saved and sees no benefit. Automation that creates something that did not exist sells easily.

State it through the absence: "at the moment night-time enquiries get lost", "at the moment nobody works the old base", "at the moment there is no report".

How to price it

Not by your own hours. The client is buying not your work but a hole closed.

The quote by composition rather than as one sum:

A seven-line quote defends itself. People argue with the items rather than the total.

The order of prices. In our bot's feed of 5 986 jobs over four months: a system or a pipeline $490–1 460, against a median one-off job of around $60. A caveat: an explicit budget appears in 17% of listings, and by individual type of work there are between twenty and three hundred observations with a sum.

Where the main money is

Not in the first build.

In maintenance. Services change their interfaces, connections break silently, the client's processes get rebuilt. An automation with no owner lives until the first failure. That is a recurring payment and an honest one.

In expansion. The first connection works and a request comes for a second. Then for reporting, then for integration with the records system.

In my scrape 23% of clients are explicitly looking for somebody long-term and 12.9% talk about ongoing volume. More than a third of the market does not fit into one-off work — and automation is exactly the type of service that falls into it naturally.

Three mistakes in selling

Selling the platform. The client does not care what it was built on. The conversation is about the result.

Automating before describing. If the process is done differently every time, you will lock the chaos in. Describe first, build second — a rule with no exceptions.

Promising staff reductions. Even if it is true. One mention turns the client's employees into opponents at every step where their honesty is needed in gathering information.

The right phrasing: the freed time goes on what nobody had got round to before.

What the platform offers for automations

Automation templates — over 3 000 ready scenarios: handling enquiries, mailings, reports, integrations. Do not build from scratch, most tasks are standard.

The descriptions are open to everyone, ordinary templates come with the Creator plan, advanced ones with Full.

If the task needs understanding rather than a rule, the n8n and Make templates include scenarios with AI agents and chat models. Regular templates come with the Creator plan.

Over 200 AI assistants across 14 categories — from Basic. Analytics for the reporting, marketing for the return texts, sales for the conversation with the client.

The “Sales” course (main module — ten lessons) — how to shape an offer to demand and handle rejection. Included in Basic.

Registration is free and opens three days of full Basic access.

Where to start today

One action. Take a business you know — your own or somebody else's — and ask the owner one question: how many enquiries arrive in the evening and at weekends, and what happens to them.

He almost certainly does not know the exact answer. That not knowing is your sale: you are offering not automation but the chance to find out and stop losing them.

The first of the three begins with that conversation.

Three thousand ready scenarios

The automation templates section — over 3 000 of them: 3 366 n8n workflows and 185 Make scenarios. Download the file, import it into your account, insert your keys — the process runs. No programming needed.

Broken down by category: marketing, sales, content, video, photo, web, data, DevOps and general. The standard "enquiry → CRM → notification → email" scenario is already built — weeks saved on what everybody builds again from scratch.

The descriptions are open to everyone. Ordinary templates come with the Creator plan, advanced ones with Full, or $9 one-off, or 1000 XP.

Two income models from the section's description

Turnkey automation — you bring a business a scenario that replaces an employee's manual work and charge for the implementation.

Retainer support — you implement it, then support and refine it monthly. That is recurring income rather than a one-off deal. The second model is what separates a contractor from a jobber.

A price from a real order

The only price we stand behind is a real order: Denis, the founder of AI Skills, built a system (analytics, a website, agents) for Zakhar Fomin's dental clinic at $1 900 a year. The clinic placed a CRM at about $3 200 and a content factory at about $1 500 as separate, later orders. This is an example of one order, not a promise of income or a market benchmark.

If you want to build your own — the Make (“Automations in Make” course) and N8N (“Automations in n8n” course) plans: everything in Creator plus the course for your own platform.

What this looks like ready-made

The three automations above are what people buy. Close ready-made starting points exist among the platform's templates (standard ones — from the Creator plan):

Taking and qualifying enquiries → AI sales chatbot for WhatsApp on OpenAI: receives incoming messages and replies as an AI sales agent. For Bitrix24 users — a RAG chatbot for Bitrix24 with knowledge base search.

Analysing conversations → Call transcription and analysis with a report by email: the call recording is transcribed, the model writes a summary and the result goes to the team by email.

Regular reporting → Weekly marketing report in Telegram and Email: on a schedule it collects data from Google Analytics, Google Ads and Meta Ads and sends the report.

CRM link → the AmoCRM — managing leads and contacts skill for Claude Code.

What that changes in your economics. A template is a blueprint file: upload it, enter the credentials, adapt it to the client. You do not spend a month building — you refine what already exists.

The templates — Creator, Make, N8N and Full.

What to take on the platform for this task

What to read next

Make or n8n: which to choose — what to build this on.

Digitising an offline business — where these three tasks hurt most.

A company knowledge base as a service — the next service up by fee.

Auditing procedures — what is done before automating.

n8n and Make automation templates — the full guide to automations.

Also on AI SKILLS