---
title: Marketing Research 6 Modules
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/marketing-research-6-modules/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/marketing-research-6-modules/
last_updated: 2026-06-20
---

# Marketing Research 6 Modules

> Competitor / Product / Avatar / Market / Value…

A structured 6-module marketing research engine: Competitor, Product, Avatar, Market, Value Proposition, and Mental Models, that turns 8-12 hours of manual research into a 30-minute deterministic workflow. It produces client-ready competitor analysis and market/audience reports, with every claim source-attributed and verified.

## Use cases
- Onboarding a new client with no competitor or persona data
- Producing a competitor analysis report before a proposal
- Building avatar personas using a jobs-to-be-done framework
- Sizing the market with TAM/SAM/SOM and awareness stages
- Generating value-proposition variants for ad campaign briefs
- Synthesizing topic gaps for pillar and cluster content

## Benefits
- Compress 8-12 hours of research into about 30 minutes
- Make your deep research visible to clients in a polished report
- Ground every competitor claim in verifiable, sourced evidence
- Hand campaign and content briefs ready-made value-prop variants

## What’s included
- Competitor module with positioning, pricing, and gap analysis
- Avatar module producing personas with desires, problems, and conflicts
- Market module computing TAM/SAM/SOM plus awareness stages
- Value-proposition module generating four variants by awareness stage
- Mental-models synthesis with prioritized copy angles
- Auto-rendered client reports with source attribution and a verification checklist

## Who it’s for
Agencies and marketers who need fast, structured, client-ready competitor and market research for new accounts.

## How it runs
Market research that normally eats a working day runs here as a deterministic 30-minute pipeline. Six modules go from live competitor scan to copy reframes, and every numeric claim leaves with a source attached.
1. Runs the 5-question intake with the client owner: what the product is, sector and location, known competitors, ideal customer in one sentence, and research stage. The answers land in research-intake.json that all six modules read from.
2. Module 0 (Competitor): scans 3-5 competitors in parallel via live web fetch, extracting positioning, price transparency, delivery promise and headline claim per site, each row tagged with the fetch URL and date. A Pareto pass then distills the gap list down to the 3 gaps that carry 80 percent of the value.
3. Modules 1-3 run next: Product builds the feature-to-benefit table and coins the Unique Mechanism from the top 3 gaps; Avatar produces 2-3 personas from GA4 demographics plus the Jobs-to-be-Done frame (6 desires, 6 problems, 1 primary conflict each); Market calculates TAM/SAM/SOM from official population data times purchase frequency times ticket, and maps the 5 Schwartz awareness stages.
4. Module 4 (Value Proposition) generates a minimum of 4 headline-subheadline-CTA variants, each matched to a different awareness stage and persona, ready for ad and landing A/B tests.
5. Module 5 (Mental Models) synthesizes everything into 3-4 copy reframes (loss aversion, time-as-wealth, local authority and similar), marks the Pareto top 1 as the hero angle, and runs a SWOT that feeds the 30-60-90 day roadmap.
6. Renders the output as two client-facing reports in the agency's standard format, every numeric claim source-attributed and verification-tagged, then checks the 12-item delivery list: minimum 3 competitors with sources, minimum 2 JTBD personas, shown TAM/SAM/SOM math, 4 value prop variants and correct Turkish diacritics.

## FAQ
### We just signed a client we know nothing about. Is that the intended starting point?
Exactly that. The six modules (Competitor, Product, Avatar, Market, Value Proposition, Mental Models) are built for the cold start: a new account with no competitor data and no personas. The output is a client-ready report you can put in front of them before the first strategy call.

### How do I know the research is not AI guesswork dressed up as a report?
Every claim in the output carries source attribution, and the workflow ends with a verification checklist before anything is called client-ready. The process is deterministic, the same module sequence every run, which is how 8-12 hours of manual research compresses into about 30 minutes without losing traceability.

### Does this replace talking to actual customers?
No. It is desk-research synthesis: competitor positioning, jobs-to-be-done avatars, TAM/SAM/SOM, and value-proposition variants built from available sources. Customer interviews and first-party data still beat any synthesized persona, so treat the avatars as hypotheses to validate.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [AI Google Ads and Meta Ads management](https://forgehouse.ai/guides/ai-google-ads-management/)