Indicative Pricing (Post-Validation)
Pricing will be confirmed after the UK pilot phase based on measured value and customer feedback.
Who Pays
Product Intelligence serves three distinct user groups, each with different needs and willingness to pay:
- Individuals — People making personal purchase decisions who want clarity before buying
- Businesses — Companies evaluating products for procurement, operations, or compliance
- Sellers — E-commerce operators deciding what products to stock and how to describe them
Why They Pay (Problem → Value)
The Problem: Product research is time-consuming, inconsistent, and often unreliable. Reviews are biased, specifications are scattered, and comparison sites prioritise advertisers over accuracy.
The Value: Product Intelligence provides structured, auditable reports that answer the key questions: What is this product? Who is it for? What are the risks? Should I buy, sell, or pass? This saves time, reduces mistakes, and builds confidence in decisions.
Users are expected to pay because the cost of a subscription is far less than the cost of a bad purchase, wasted time, or lost opportunity.
Pricing Tiers (Indicative)
Pricing is structured by user type. These are indicative ranges for planning purposes — final pricing will be validated through market testing.
Individual Plan — £5–10/month
Access to product reports, suitability assessments, and buying recommendations. Designed for personal purchase decisions.
Value anchor:
- Avoid wrong purchases
- Save research time
Business Plan — £30–50/month
Structured evaluation tools, procurement support, risk assessments, and team access. For operational and purchasing decisions. Includes export and audit features.
Value anchor:
- Reduce procurement risk
- Improve audit trail
- Save staff time
Seller Plan — £20–40/month
Product viability analysis, variant insights, description generation, and sourcing links. For e-commerce and retail sellers making stocking decisions.
Value anchor:
- Reduce failed listings
- Improve margins
- Better descriptions
Pricing Validation Approach
These pricing ranges are indicative and will be refined based on market feedback:
- We will test willingness to pay via pilot follow-ups
- Pricing will be refined based on conversion + retention signals
Additional Revenue Streams
Affiliate & Referral Links
Planned commission from trusted product suppliers when users purchase through recommended links. Only for products with clear, honest recommendations. Affiliate status will always be disclosed.
Enterprise & Custom Reports
Planned custom product intelligence reports for large organisations. Integration with procurement workflows and decision systems. Expected to be priced per engagement or annual contract.
Sustainability & Scalability
The Product Intelligence model is designed for sustainable growth with improving unit economics over time.
Low Initial Costs
The MVP uses static HTML and a reusable template structure. No expensive infrastructure is required to validate the concept and acquire early users.
Automation Increases Margins
As the product library grows and automation is introduced, the cost per report decreases significantly. The same template works for any product category, enabling rapid scaling without proportional cost increases.
Network Effects
More products attract more users. More users generate more data on what products are in demand. This creates a virtuous cycle that strengthens the platform over time.
- Reusable structure — the same framework works for any product category
- Industry-agnostic — applicable to consumer goods, industrial equipment, electronics, and more
- Geographically flexible — suitable for UK and global markets with localised sourcing
- Low customer acquisition cost — SEO and organic search for product-specific queries
MVP Scope Note
This page describes the intended revenue model for Product Intelligence.
Current Status
No payments are implemented in the current MVP. No live affiliate links are active. This page demonstrates commercial intent and viability for investor and visa assessment purposes. It outlines how Product Intelligence expects to generate revenue once the product is operational.