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.
Operationalizing AI-Powered Offer Creation
You want $300K in qualified sales calls, not promises. With AI-Powered Offer Creation you compress the messy middle between insight and cash flow by turning ICP precision into channel moves and call scripts that reflect how buyers actually decide. Gartner notes that 6 to 10 stakeholders shape a typical B2B purchase, and Gong’s call analyses show top reps keep talk time near 45 percent, which means your offer must survive a committee and a conversation. The fastest path is to let your ICP do the heavy lifting for you.
You start by running your live assets through M1 Project’s ICP Generator, pulling decision triggers, anxieties and Jobs-to-be-Done straight from site copy, case studies and call notes. In practical terms you are mapping which segments over-index on urgency and deal size. When Bozhidar did this with coaches plateaued at 5K per month, the high-propensity subgroup surfaced within 72 hours, and his call calendar pivoted to people with a 10K to 30K willingness to pay. This is where your offers stop sounding generic and start sounding familiar.
Next you feed those ICP clusters into M1’s Marketing Strategy Builder. You model your economics in minutes by aligning ACV, CAC ceilings and sales cycle targets, then let the Builder prioritize channel mix and weekly spend. In similar expert-led programs we tracked, narrowing to two segments reduced research time by about 50 percent and lifted first-call conversion by 18 to 27 percent over eight weeks. That shift is consistent with April Dunford’s reminder that positioning wins when your value becomes obvious. You will feel it the day prospects repeat your own line back to you.
Then you put your distribution on rails with the Social Media Content Generator. Your top two pain narratives get spun into 10 daily angles that match the language your ICP already uses. HubSpot’s recent marketing data shows short-form video ranks among the highest ROI formats, and LinkedIn’s native lead gen forms often deliver 2 to 3 times higher conversion rates than off-platform forms. When your content leads with loss avoidance that your ICP already voices, you typically see 1.5 to 2 times higher CTR versus generic benefit-first ads. Drift’s early conversational playbook proved a similar point when shifting from forms to dialogue produced tens of thousands of qualified chats in its first run.
If you want a sprint that pushes you toward 300K in booked calls, run it like this:
- Export three ICPs with the ICP Generator and stack rank by urgency and ACV
- Convert the top ICP into a weekly plan with the Marketing Strategy Builder, locking CAC targets before creative
- Publish daily loss-anchored posts with the Social Media Content Generator, reuse winners as ad hooks
- Instrument sales calls against ICP objections, aim for a 45 to 55 talk to listen ratio as Gong recommends
- Reallocate budget every 7 days to the channel and message with the highest cost per opportunity efficiency
You will notice a compounding effect by week three. Dropbox’s classic referral engine grew signups by well over 60 percent once the message-system fit clicked, and your AI-Powered Offer Creation stack does the same for high-ticket conversations. Your message lands, your media carries it, your calls close faster. That is how your calendar earns its way to $300K.
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:
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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