My plans
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Create your plan for a profitable AI Marketing- and Sales System
With these details, your strategy will be tailored exactly to your company.
The foundation: why your clients buy
Click "Reveal next" to walk through the four things every buying decision comes back to.
The bigger the problem and the faster you can solve it, the more money you can make — and the easier it is to sell. Everything else in this tool builds on this.
What describes your situation best?
Pick the option that fits you today — the rest of the walk-through adapts to it.
Symptom 1 We're not getting enough leads and clients
You're not selling a solution
Your offer isn't positioned as the specific solution to a real problem.
You don't know your audience's problems
You don't know the actual problems of your target audience — or you don't have clear segments yet.
Weak offer architecture
You don't yet know how to build a high-value offer around those problems.
Symptom 2 We're getting too many unqualified leads
Image ads don't qualify
Static images can't carry problem, proof and fit in a few seconds. Video ads pre-qualify early — the wrong people scroll past, the right people lean in before they ever click.
No qualification at every funnel step
If your ad, landing page, form and follow-up don't each filter for fit, low-quality leads slip through — and the ad algorithm gets trained on them and keeps finding more of the same.
No KPI-based optimization
Lead quality attributes (industry, size, budget, intent) aren't tracked and fed back into targeting — so nothing improves, and the same unqualified pattern repeats week after week.
Symptom 3 We're getting leads but can't convert them into clients
Wrong message on calls
Sales talks features and the company instead of the lead's problem and a specific solution — because the real problems were never tested, so nobody knows which ones actually convert.
Weak qualifying
Time burns on people who were never a fit. Without a clear qualification bar before the call, close rates collapse and the pipeline looks fuller than it is.
Weak entry offer
Pitching features instead of outcomes makes the risk feel too high — so clients default to the cheapest option in the market. No clear value, no differentiation, no reason to choose you.
Symptom 4 We're getting leads and clients, but costs are too high (not profitable)
Weak offer
The offer isn't sharp enough to justify a premium — low perceived value forces discounts, more sales touches per deal, and thinner margins. High acquisition cost is the symptom; the offer is the cause.
No KPI-based lead-quality tracking
Leads aren't scored and fed back to the algorithms, so platforms keep optimizing for volume instead of fit. Low-quality leads clog the funnel, burn rep time, and inflate cost per won.
No KPI-based funnel tracking
No weekly read on CPM, CTR, form CVR, show-up, qualification, closing — so nobody knows which stage the money is leaking out of. Without per-stage visibility you can't fix the specific leak driving up cost.
Symptom 5 We've never tried marketing and don't know how it works or where to start.
Don't waste your time and money on random marketing hacks without a plan and solid foundation. The priority: get the offer, target audience (segment), message, funnel structure and funnel KPIs right before spending, then launch a funnel that's measured and optimized for high profits from day one.
All marketing — email, ads, content, websites — fails for the same reason: the message isn't relevant (and potential clients ignore it), because it's not addressing any important problem, goal or desire — so the offer is perceived as no value, or just noise. No problem, no solution (a.k.a. "value"). That's exactly what we'll fix in this tool.
Your steps to launch and scale a profitable automated client acquisition system (funnel)
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1Analyse your service, offer and message. Score your offer.
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2Find out where and how you can improve. Rank the biggest levers first.
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3Design a sales funnel that brings in qualified leads and clients — because your offer is positioned as the solution to problems your clients actually care about.
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4Show you how to find and test the real problems of your target clients. Get this wrong and you spend money on the wrong message — without knowing why it doesn't work.
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5Model the funnel KPIs so you have a profitable marketing and sales KPI plan before you spend a cent. This becomes your benchmark for all marketing activities.
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6Show you how to launch this AI client-acquisition system inside your business — with a success guarantee.
How to build offers clients WANT to buy from YOU.
Clients will buy FROM YOU if they have a problem, want a solution AND see an attractive offer that is perceived as THE SOLUTION they need. The foundation of a successful and profitable marketing system is an attractive offer to motivate clients to book sales calls and buy from you. We'll analyse your current offer and suggest improvements to make your marketing significantly better, more profitable and successful.
- ×1 Commercial Intent i
- ×1 Mass Desire Alignment i
- ×1 Pain Intensity i
- ×1 Search Volume i
- ×1 Pain Frequency i
- ×1 Competition i
- ×1 Differentiation i
- ×1 Outcome Specificity i
- ×1 Proof Quality i
- ×1 Method Plausibility i
- ×1 Value Clarity i
A great website and marketing with a weak offer and messaging that just speaks about the business will never perform. A mediocre website and marketing message with a great offer and clear messaging always performs. We score the offer, not the website. Important note: only sell what people really want to buy, then sell it correctly to become the go-to provider.
Let's assess an offer
Paste the website. We'll scan it, fill in what we can, then ask only what we couldn't figure out.
You don't need a website to score the offer. What matters is the promise, who it's for, the problems you solve and the proof you have.
Scanning site…
- Fetching homepage & key pages
- Reading offer, differentiators, case studies
- Analysing target audience signals
- Detecting language & region
Scan failed
The website couldn't be scanned. Check that the backend server is running and the URL is correct, then try again.
Which service do you want to analyse?
We found multiple services on this website. Select one — we'll focus the entire analysis on it.
Here's what we found
A few quick questions before we score.
Auto-extracted from —
Services found on this website
Select the service you want to analyse.
Case studies we can use
Stronger proof drives a stronger offer. Add your best client results — we'll use them to focus the offer on the product or service with the strongest proof, and to prioritise the segment where you've already proven the outcome.
| Client short code / ID | What you did for the client | Their goal (outcome) | Quantifiable result | Time to result | Decision-maker role | Industry (B2B) | Employees (if B2B) |
|---|
No case studies yet? You can skip — the assessment still runs, but proof score stays lower and segment prioritisation falls back to generic heuristics.
Scoring the offer…
- Keyword research
- Checking competitor ad activity
- Scoring demand
- Scoring offer
- Compiling recommendation
Score profile
Recommendation
Demand rating
Offer rating
Channel recommendation
What the tool found
Product category
Differentiators
Case studies
Proof strength
Top keywords
| Keyword | Volume | CPC |
|---|
Estimated market size
We segment your market so your offer, content and all your marketing becomes more relevant, converts better, generates higher-quality leads and is more profitable. If you try to address every segment the same way, it's relevant to nobody and your marketing gets ignored.
Running research…
- Enumerating use-case × industry × demographic combinations
- Filtering low-pain / low-demand combos
- Keyword volume + pain phrase research
- Scoring top segments on 10 dimensions
Recommended start
All segments
Microtests show you which problems your clients want to solve
Remember why clients buy…
Microtests give deep market insight in under 48 hours — no surveys, no focus groups, no weeks of waiting. If you don't know the real problems, you can't sell a specific solution — you sell a commodity, compared directly on price.
What motivates your segment to buy from YOU?
| Nr | Problem statement | CTR > 1% | CPC < 0.40 € |
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| Nr | Solution statement | CTR > 1% | CPC < 0.40 € |
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Define the entry offer and the upsell
Two offers fund the funnel: an entry offer (what a new customer buys first) and an upsell (what some of them buy next). The funnel ROI math uses these values directly — so be realistic, not optimistic.
The AI sales funnel, stage by stage
Every stage has a known conversion rate. If you know your numbers at each stage, you can predict your cost per won customer before you spend a cent. Here's the shape of the funnel you're about to walk through in detail.
- 1Video ad
- →
- 2Lead form
gatekeeper - →
- 3AI research
- →
- 4MQL
- Marketing hands off to Sales
- 5Strategy call
- →
- 6SQL
- →
- 7Quote
- →
- 8Won
Gatekeeper: what you count as a lead conditions the algorithms of Meta, Google and LinkedIn. If you count unverified leads as leads, your lead quality gets worse over time. If you only count qualified leads, your lead quality improves every month.
AI research: leads can lie on the form. That's why AI verifies the lead with online research and qualifies it in the backend — before we count it as a Marketing Qualified Lead (MQL) and feed it back to the algorithm.
How your funnel actually works, step by step
Walk through the 9 stations — from ad to won customer. See what the lead sees and what gets reported back to Meta at each stage.
Funnel model
Set one realistic value per stage. The model uses it to compute the cost per entry-offer sale and the cumulative economics when the upsell lands.
Entry offer economics
Based on the entry-offer profit and the values set above
- Cost per Won client
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- Cost per MQL
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- Cost per SQL
- —
- ROI (profit margin)
- —
- Profit / client
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Your funnel will perform this way if the real KPIs of your funnel hit these numbers. This is the result of ongoing data-driven optimization, a valuable offer, clear positioning and a message that resonates. Our system is built to lead this optimization process very systematically.
Algorithm is learning. Cost per lead is at its ceiling.
Numbers stabilize. Solid ROI, enough signal to scale up confidently.
Profitable scale. The feedback loop compounds — cheaper leads, better targeting.
Disclaimer: these numbers are modeled from the inputs you gave us. Actual performance depends on the microtest results and the offer strength.
Actual funnel KPIs, compared to your model, every week
Your funnel model is the target. Real weekly numbers are tracked against it, coloured green when on track and red when off. The AI and our team read this together — every week — and adjust.
- 1Runads, forms, follow-ups
- →
- 2Measureevery stage, every day
- →
- 3AnalyzeAI finds the red cells
- →
- 4Implementteam applies the fix
- →
- 5Feed backclosed-won trains the algo
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Full-funnel KPI tracking & diagnosis · weekly
Green = on target · Red = off target · hover the diagnosis cells for the explanation| KPI | Target | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 |
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Lead quality tracking · per-lead verification
Every lead is verified on these checks. Only all-green leads count as MQL and feed the algorithm.| # | Date | Source | SMS verified | Online research OK | Budget fit | Role fit | Timeline fit | → SQL |
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Every qualified MQL, every closed-won customer, every rejected lead — we push it all to Meta, Google and LinkedIn through their conversion APIs. The algorithms treat only the validated signals as the target. Targeting gets sharper week after week, automatically.
Your strategy report
No strategy report yet for this plan.
How we deliver on it
How we build your funnel
Detailed Strategy Onboarding
Detailed Case Study Review (optional)
Building the KPI Model
Running Microtests
Strategy & Offer Refinement
Video Scripts
Video Production
Offer Document as Lead Magnet
Lead Form with Qualification Filter and SMS Verification
Sales Conversation Structure and Scripts (+ AI Voice Agents)
AI Agent for Sales Training
Launching the Sales Funnel
Weekly KPI Tracking & Optimisation
Lead Quality Tracking and Optimisation
Sales Call Feedback (optional)
KPI-Based ROI Optimisation
🤖 What the AI agents do
- Create your texts and messages
- Create your video scripts
- Monitor all stages of your sales funnel
- KPI-based conversion optimisation
- Suggest improvements to your sales calls
- Optimise lead quality
- Insights and data feed back into the algorithm — targeting and lead quality improve continuously.
👥 What our team does
Our team oversees the AI, implements the suggestions, and presents you the results on a weekly basis. The learnings and data are fed back into the algorithm — so targeting improves week by week, on your real data.
The AI agents don't replace the team — they remove the manual work so the team can focus on strategy and closing.
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User management
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