Updated on
July 23, 2025
AI Marketing

AI-Powered Offer Creation: From Insights to $300K Sales Calls

Anton Mart
Anton is a marketer with over a decade of experience in digital growth across B2B SaaS, marketplaces, and performance-driven startups. He’s led marketing strategy and go-to-market execution for companies at various stages—from early traction to scale. With a background in product marketing and demand generation, Anton now focuses on helping agencies and consultants use AI to better understand their audience, refine positioning, and accelerate client growth through M1-Project’s suite of marketing tools.

The transition from “we’d like to try a funnel like this” to “here’s a specific pain point that we sold $160K for” is not a matter of inspiration, but of structure. And if consultants used to have to spend months guessing, today one point decides everything: how accurately do you understand your client.

According to our users, a strong offer strategy starts not with creativity, but with clarity: who is this person, what pain points do they have, why won’t they buy — and what will move them. Bozhidar Batev now gets this clarity in a matter of days, not weeks.

Bozhidar is a consultant with 20 years of experience who helps coaches and experts get out of the $5K per month swamp to a stable $50K+. His approach is not magic words on a landing page, but a strict focus on the right audience and strong offer packaging. And Elsa AI helps him with this.

“Before Elsa, it was like shooting in the dark. We'd try one segment, then another. Now, we skip irrelevant groups and focus right where it matters.”

— Bozhidar Batev

With Elsa, he moved away from interviews on a whim, made the process predictable, and the results many times more powerful. In this article, we will show how it works: from building an ICP to the structure of 300,000 calls.

Why a strong offer is not about pain, but about precision

One of the most common mistakes we see from experts and coaches is the desire to “get into the pain” of the client without understanding who exactly they are selling to. The result is dozens of calls, a general mess in the segments, an attempt to find an offer as they go.

Bozhidar began to change this even before Elsa, but the process really transformed after. With its help, he launches a deep funnel of understanding the client from the first days - and builds an offer not on what “might work”, but on what already hurts. And not just hurts, but hurts the solvent audience.

Here's what his process looks like today:

  • Analysis of the client's site through ICP Generator

With Elsa, it is enough to enter a link - and the tool itself collects portraits of clients, their goals, fears, problems and purchase triggers. Not just at the level of “wants more clients”, but: “faced burnout after 2 years without growth and is afraid of losing his last motivation”.

  • Segmentation by conversion probability

The output is not just 5-6 hypotheses, but a clear focus on 2-3 segments with the greatest potential. In the Bozhidar case, this allowed us to cut the number of interviews in half and already at the start get 2-3 topics that people were excited about.

  • Ready-made theses for an offer

Along with ICP, Elsa produces blocks that were previously collected manually: entry points into a dialogue, formulations of pain in the client’s language, offers that do not require explanation. Based on them, Bozhidar even builds a structure of high-ticket scripts: from the first touch to a deal for $10K+.

“Even for a tech-savvy person like me, combining tools to extract real insight is time-consuming. Elsa saves dozens of hours and offers a more contextual, intelligent approach to ICP research.”

— Bozhidar Batev

In fact, the offer is no longer “invented” — it is formed from the logic of the ICP. This allows you to avoid the most expensive mistake: building a solution that is not needed by those who are willing to pay.

How an AI profile turns into a high-profit funnel structure

When you have a detailed ICP map — not just “woman 35+, coach, loves personal growth,” but a real profile with barriers, triggers, and selection criteria — every step of the strategy becomes transparent. You no longer wonder what to write in the first paragraph of the landing page, how to start the script, what emotion to draw the audience to the webinar.

Bozhidar uses this advantage literally:

  • Translates ICP data into landing page blocks
  • Generates copywriting, taking into account the language and style of the client
  • Creates offer structures that “hook” from the first phrase
  • Builds a sales call so that it closes in one conversation

How does this look in work?

After receiving the ICP, it uploads the result to its own AI system running on Sonnet 3.7. It automatically generates not only text blocks, but also the architecture of the offer — from the main idea to the points of closing objections. Everything is built on the basis of real insights from Elsa, obtained through the analysis of the client’s website, social networks and public content.

The key to speed and efficiency here is not “automation for the sake of automation”, but the fact that each conclusion is based on the logic of the real client’s behavior.

For example:

  • If a person is afraid that “the program will not suit him”, a block with the story of a similar client appears in the text.
  • If the ICP says that the audience is overloaded and does not want another “intensive” - the offer is made light, asynchronous, with the promise of a result without stress.

“Elsa’s structured ICP lets me plug insights straight into my stack - it’s like building the whole funnel with a client’s voice in my head.”

- Bozhidar Batev

The result? He gets landing pages, letters and videos that do not explain - they get through. One of these offers brought in $160K in 10 months - not through magic, but because every part of the funnel was born from a precise understanding of the person on the other side of the screen.

What changes when you remove guesswork from the sales process

The traditional approach to creating an offer is dozens of hours of interviews, attempts to guess the segment, multi-week split tests and often an unprofitable launch. Even experienced consultants go this way. Bozhidar took a different approach - and replaced the 100-hour process with a model that produces results in a week.

Here's what his metrics show:

Indicator  Before Elsa With Elsa

ICP validation time

120-150 hours

50-60 hours

Segments per test on average 6-8 2-3
Average customer revenue growth $3-4K/month $40K+/month in 6 months
Separate case (high end) $20K/month $160K/month in 10 months

Half of the research time has disappeared. The number of unnecessary segments has been halved. And the conversion from landings and calls went up, because the offer is built not around the product, but around the customer's pain.

One of the most powerful effects is the ability to launch sales even before the product is completed. In the case of Bozhidar, thanks to data from the ICP and automatic offer generation, the client can start selling even at the beta testing stage. Because when you know exactly who will buy, you don't need to wait for the "perfect" landing.

“I've invested over $1M in my education and tested every framework out there. Elsa gives us the foundation to build structured, scalable businesses faster. For me, it's a no-brainer.”

- Bozhidar Batev

This structure allows you to work with high-ticket offers, where a mistake in the message costs tens of thousands of dollars. When you rely on live insights, and not on the feeling of "what works", you reduce the risk - and accelerate growth.

Conclusion

AI today easily generates texts, headlines, landing pages. But the key question remains the same: what exactly do you want to say? What thought should the client have after the first meeting with your brand? What pain should they recognize - as their own?

The answer to this comes not from templates, but from depth. And it is this depth that is provided by the correct work with ICP.

Bozhidar's experience shows that building a strong offer is not a matter of luck. It is a matter of structure. Remove unnecessary segments. Test the hypothesis on 20 interviews, not 50. Build a page not according to a template, but according to how a person makes decisions. Then you will not need to "press" - people themselves will ask for a call.

That is why its entire stack - from the offer to the sales call - is built around one file: a clear ICP, created on the basis of context and enhanced by AI. The rest is just derivatives.

When your offer says something that the client hasn't yet formulated for himself, you win not by price, but by trust.

And that changes the whole game.

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