Meta Ads Research

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name: meta-ads-research description: "[Didoo AI] Conducts competitive intelligence for Meta Ads campaigns — analyzes competitor ads, landing pages, and market benchmarks. Use before launching a new campaign or entering a new market."

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Meta Ads Market Research

When to Use

Before launching a new campaign or entering a new market — to understand the competitive landscape, what types of ads are working, and where opportunities exist.

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Step 1: Define Research Scope

Ask:

What industry or category? (e.g., SaaS, e-commerce, local services)

What markets or countries?

What product or service type?

Any specific competitors to analyze?

Finding the right competitors to analyze:

Do NOT start with the biggest brands — their ad strategy is not replicable for small businesses

Start with: businesses of similar size, similar budget, similar market — 5 to 10 competitors

Search by category keywords in Meta Ad Library, not by brand name

Use web search: "[your niche] Facebook ads competitors" to find real SMBs running ads

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Step 2: Competitive Ad Intelligence

Use Meta's Ad Library, web search, and web fetch to find what competitors are running.

What to analyze for each competitor ad

Surface-level (what you see):

Primary hook / headline

Offer or value proposition

CTA (sign up, buy, learn more, book call)

Creative format (video, carousel, single image, Stories, Reels)

Visual style and tone

Deeper-level (why it works):

Psychological trigger used (fear, social proof, urgency, exclusivity, transformation, authority)

Emotional hook angle (who/what/when/where/why/how angle)

Audience targeting signal (what audience does this ad seem to be reaching?)

Ad endurance — how long has this same ad been running? (Long-running ads = proven to work)

Ad saturation — how many different ads is this brand running? (Many variants = active spender)

How to find them: 1. Meta Ad Library: search by category keyword, not just brand name 2. Google Search: "[niche] Facebook ads case study", "[competitor] what ads are they running" 3. Web fetch competitor landing pages — understand their full funnel, not just the ad

What to document for each competitor:

Brand name

Primary hook and psychological trigger

Offer / CTA

Creative format

Estimated spend signal (High / Medium / Low — from Ad Library if available)

Ad endurance (how long running, if identifiable)

Landing page URL

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Step 3: Market Trend Research

Use web search to find:

Industry benchmarks:

Average CPM for this industry and target geo

Average CPL or CPA by objective

Seasonal or timing factors

Creative trends in this category:

What hook angles are dominant? (e.g., "results transformation" vs. "social proof")

What formats are gaining traction? (Reels outperforming static? Carousels working for DTC?)

Any new creative approaches emerging?

Bidding and competitive landscape:

Is this a highly competitive category (CPM high)? What does that mean for budget planning?

Are there identifiable "ad saturation" patterns — same angles repeated across competitors?

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Step 4: Full-Funnel Path Analysis

Map the complete user journey for top competitors — not just the landing page, but what happens after.

For each top competitor: 1. Ad → Landing page: What does the landing page promise that the ad set up? 2. Landing page → Next step: What does the page ask them to do next? (Form, checkout, call, chat) 3. Post-conversion: What's their follow-up sequence? (Email capture? Retargeting?)

This reveals:

Whether competitors are running a full funnel or just top-of-funnel ads

What offer depth is needed to compete (some categories need a tripwire product, some don't)

Retargeting patterns (are they chasing visitors who didn't convert?)

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Step 5: Gap and Opportunity Analysis

Based on all findings, identify:

White space — Angles or formats no one is using in this category

Look for underserved emotional triggers (e.g., everyone uses fear, no one uses belonging)

Market saturation points — Where competitors are all saying the same thing

If 5 competitors use the same hook angle, that angle is table stakes — you need it plus something else

Differentiation opportunity — What unique angle could the user's brand use?

Consider: different audience segment, different emotional trigger, different offer framing

Ask: what do competitors promise? What do they NOT say that their audience cares about?

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Step 6: Strategic Positioning Recommendation

Based on the research, recommend:

Top 3 creative angles to test — ranked by: 1. Differentiation level (how unique is this angle?) 2. Category fit (does it match how this audience thinks?) 3. Ad format match (which format does this angle work best in?)

For each angle, specify:

The hook type (transformation / fear / social proof / authority / urgency / exclusivity)

The specific angle within that type

How to adapt it for the user's brand (not copying — translating the principle)

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Step 7: Output Format

## Competitive Research: [Industry/Category]
Competitors Analyzed
| Competitor | Primary Hook | Trigger Type | CTA | Format | Spend Signal | Ad Endurance | LP URL |
|------------|-------------|-------------|-----|--------|-------------|--------------|--------|
| [Name]     | [Hook]      | [Trigger]   | [CTA] | [Format] | [Level]     | [Long/Short] | [URL]  |
Industry Benchmarks
Average CPM: $[X]
Average CPL: $[X]
Competitive intensity: [Low / Medium / High]
Creative Trends in This Category
1. [Dominant hook angle and why it works]
2. [Emerging format or approach]
Full-Funnel Gaps
[Where competitors are weak in the funnel]
Recommended Creative Angles to Test
1. [Angle 1] — Why it differentiates — Format: [what to use]
2. [Angle 2] — ...
3. [Angle 3] — ...
Strategic Positioning
[1-2 sentences on recommended overall positioning in this competitive landscape]

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Key Research Sources

Meta Ad Library: ads.facebook.com/ads-library — search by category keyword, not brand

Google Search: "[niche] Facebook ads", "[competitor] ads", "[industry] Meta case study"

Web Fetch: Pull competitor landing pages and analyze the full funnel path

SimilarWeb / SpyFu: Competitive traffic and estimated ad spend

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Restrictions

Do not make up data — only report what you actually find

Do not use competitor branding or trademarks in ways that violate Meta policies

Present findings objectively — don't bias toward a predetermined conclusion

Do not recommend copying competitor ads directly — recommend adapting winning principles