Offer Analyzer
Would customers find this offer compelling? Diagnose value, pricing, and appeal.
Last updated 2026-07-01
Suite
Sales Intelligence
Token cost
4 tokens per run
Typical time
30–60 seconds
Analysis type
Scored analysis
Overview
Would customers find this offer compelling? Diagnose value, pricing, and appeal.
Would customers find this offer compelling? Diagnose value, pricing, and appeal.
Inputs, field by field
Fill the essential fields first — they are all you need for a solid result. The 7 advanced fields are optional context tucked under an "Advanced context (optional)" disclosure: the more you add, the deeper and more tailored the analysis. The main input must be at least 20 characters or the run is blocked with "Add more detail to the main input for a high-quality analysis."
| Field | What to enter | Example |
|---|---|---|
| Offer Description (main input) | What the buyer gets and the main promise — the core transformation or result. | A 12-week coaching program that gets founders their first 10 paying customers. |
| Pricing | Your price and how it’s structured. | $49/mo, $499 one-time, or 3 × $199. |
| Bonuses | Extras included to raise the perceived value. | Free onboarding call, template library, private community. |
| Guarantees | The risk-reversal you offer to lower buying friction. | 30-day money-back, or results-or-refund. |
| Target Audience | Who the offer is designed for. | Solo, bootstrapped founders who are pre-revenue. |
| Field | What to enter | Example |
|---|---|---|
| Competing Offers | The alternatives — including “do nothing” — your offer is judged against. | Competitor at $79/mo with fewer features. |
| Value / ROI | The concrete payoff that justifies the price. | Saves ~10 hours/week; pays back in a month. |
| Unit Economics (CAC / LTV) | Acquisition cost and lifetime value, if known. | CAC $120, LTV $900. |
| Buyer Objections | The doubts the offer must overcome. | “Too pricey”, “Will my team adopt it?”. |
| Pricing / Test History | Past pricing experiments and outcomes. | Tested $39 vs $49 — $49 converted better. |
| Churn / Refund Rate | Retention signal for how strong the offer really is. | 4% monthly churn, 3% refunds. |
| Positioning | The market position you’re going for. | The premium, done-for-you option. |
How to run it
- 1
Open Offer Analyzer
Find it in the sidebar under the Sales Intelligence suite, or from the dashboard.
- 2
Fill the essential fields
Be specific — vague inputs produce vague intelligence. Watch the character counter on long fields.
- 3
Add advanced context (optional)
Expand "Advanced context (optional)" and add whatever you know — competitors, constraints, metrics.
- 4
Attach a prior analysis (optional)
Use "Add context from a prior analysis" to inject a saved Competitor Analyzer or Audience Intelligence result as extra context.
- 5
Choose visibility (in a Team/Agency/Enterprise scope)
Pick "Shared with team" (default) or "Private to me".
- 6
Click "Analyze Offer (4 Tokens)"
The run costs 4 tokens. It typically completes in 30–60 seconds; the result saves automatically.
Reading the results
This is a scored analysis: the Executive Summary card shows an Intelligence Grade (0–100) on a radial gauge plus a short verdict badge, followed by the detailed sections as tabs.
Every result follows the universal section contract, so you always know where to look:
- Intelligence Grade (0–100)
- Key Findings
- Strengths
- Weaknesses
- Opportunities
- Risks
- Recommendations
- Action Plan
- Next Steps
From the result you can Rerun, Share (copies formatted text), Delete, or export via Copy / TXT / CSV. PDF export is a Pro-plan feature. Everything you run is also kept in History.
Works well with
This tool is part of a connected ecosystem — chain it with:
- Competitor Analyzer — run it first, then attach its saved result here for sharper output.
- Audience Intelligence — run it first, then attach its saved result here for sharper output.
Tips for a better analysis
- Write like you are briefing a sharp consultant: concrete numbers, real names, actual objections.
- Fill advanced fields when you have the data — they measurably deepen the output.
- Treat the score as a directional signal, not a verdict — read the Weaknesses and Recommendations for the "why".
- Chain tools: feed an earlier analysis in as context to compound the intelligence.