Types of pricing analysis
| Analysis type | What you get | Best for |
|---|---|---|
| Competitive pricing audit | What competitors charge, how they package, and what is included at each tier | Setting your own price points |
| Pricing model evaluation | Pros and cons of different models (per-seat, usage-based, flat rate, freemium) | Choosing a pricing structure |
| Willingness to pay analysis | What customers in your segment typically pay for similar tools | Validating price sensitivity |
| Packaging strategy | How to bundle features across free, starter, pro, and enterprise tiers | Plan design and feature gating |
| Price positioning | Where to position relative to competitors (premium, mid-market, or value) | Go-to-market strategy |
Example prompts
Use specific prompts so Solve can proceed without needing additional context from you.- Competitive pricing audit
- Pricing model evaluation
- Willingness to pay
- Packaging strategy
- Price positioning
What results include
A pricing strategy report contains four sections. The recommended approach at the end connects competitor data to your specific positioning.| Report section | What it covers |
|---|---|
| Market pricing overview | How the market prices similar products: common price ranges, dominant pricing models, and recent trends (for example, the shift from per-seat to usage-based). |
| Competitor pricing breakdown | Detailed comparison table showing each competitor’s tiers, pricing, and feature packaging. This is the data you need to position yourself. |
| Model analysis | Evaluation of which pricing model fits your product and market, with tradeoffs clearly stated for each option. |
| Recommended approach | Specific pricing recommendation with reasoning: suggested price points, tier structure, and the logic connecting your pricing to your market position. |
Example competitor pricing table
| Free | Pro | Business | Enterprise | |
|---|---|---|---|---|
| Notion | $0 (limited blocks) | $10/user/mo | $18/user/mo | Custom |
| Coda | $0 (limited rows) | $10/user/mo | $30/user/mo | Custom |
| Slite | $0 (limited docs) | $8/user/mo | $12.50/user/mo | Custom |
Solve’s pricing tables pull from publicly available data. For enterprise or negotiated pricing, the report notes where estimates are used versus confirmed public prices.
Tips for better pricing analysis
Define your target customer clearly
Define your target customer clearly
“SMB,” “mid-market,” and “enterprise” mean different things in different industries. Specify company size (employees or revenue), industry, and geography so Solve can find relevant pricing benchmarks.
Name your competitors
Name your competitors
Give Solve a list of 3 to 5 direct competitors to benchmark against. This produces a focused comparison rather than a broad market survey.
State your constraints
State your constraints
If you have constraints (“we need a free tier for adoption” or “our CAC means we need $50+ ARPU”), include them. Solve factors your constraints into the recommendation.
Ask about pricing psychology
Ask about pricing psychology
Follow up with questions like “Should we price at $9, $10, or $12 per user?” or “What is the impact of annual vs. monthly billing?” Pricing psychology questions often surface insights that raw data does not.
Iterate on packaging
Iterate on packaging
After getting an initial recommendation, ask follow ups: “What if we move feature X from Pro to Business?” or “What would a usage-based version look like?” Solve can rapidly model different packaging scenarios.
What’s next
Product direction
Align your pricing tiers with your product roadmap.
Competitive teardowns
Get deeper competitive intelligence to complement pricing data.
Work with reports
Export pricing analysis for stakeholder presentations.