Meta Ad Intelligence - Facebook Ads Library Scraper for Competitor Discovery, Share of Voice, and Meta Ad Market Research

Meta Ad Intelligence is an advanced Facebook Ads Library scraper and Meta competitor intelligence tool for discovering who is advertising in your market, how dominant each advertiser is, and what creative patterns drive sustained activity.

This actor is built for users searching for:

• Meta ad intelligence
• Facebook ad market research
• who is advertising on Facebook in my niche
• Meta ad competitor discovery
• Facebook ad share of voice analysis
• Meta ad landscape scanner
• paid social competitor analysis

If your goal is market-level competitive intelligence instead of tracking one known competitor, this actor is the right tool.

Table of Contents

1. What Is Meta Ad Intelligence
2. Why This Actor Exists
3. Who Should Use It
4. Core Features
5. Intelligence Metrics Explained
6. Inputs
7. Outputs and Views
8. Practical Workflows
9. SEO and Search-Intent Use Cases
10. FAQ
11. Data Source and Notes

1) What Is Meta Ad Intelligence

Meta Ad Intelligence maps the competitive ad landscape for a keyword, product category, or niche using public Meta/Facebook Ads Library data.

Instead of returning only raw ad rows, it produces three intelligence layers:

• Market Summary: overall market structure for each query
• Advertiser Rankings: dominance and share of voice by advertiser
• Ad-Level Records: complete creative-level detail for deeper analysis

This gives you both strategic and tactical visibility in one run.

2) Why This Actor Exists

Most Facebook ad tools do one of these:

• dump current ads with no market context
• track specific known competitors only
• focus on creative inspiration without market concentration metrics

Meta Ad Intelligence solves the missing layer: Who controls ad attention in this market right now?

It helps you answer:

• Who are the top advertisers in this niche?
• Is this market concentrated or fragmented?
• Are new entrants appearing and scaling?
• Which CTA and format patterns dominate category leaders?

3) Who Should Use It

Agencies and media buyers

Use it for pre-campaign market audits and client strategy decks with real competitive context.

Ecommerce brands and DTC teams

Validate category competitiveness before committing paid budget.

Growth teams and founders

Assess paid social intensity in a niche before product launch or channel expansion.

Investors and operators

Track whether startups or categories are scaling aggressively on Meta ads.

4) Core Features

Query-based market discovery

Input one or many niche keywords and discover active advertisers per query.

Advertiser ranking engine

Each advertiser is ranked by ad volume, age profile, and dominance score.

Share of voice estimation

Quantifies each advertiser's share of total visible ad activity for the query.

New entrant detection

Flags advertisers with recent-age profiles to help identify emerging competitors.

Creative pattern extraction

Surfaces top CTA patterns, top formats, and hook snippets at market level.

Structured output views

Dedicated dataset views for market summary, advertiser rankings, and ads.

5) Intelligence Metrics Explained

Dominance Score

dominanceScore = advertiserAdCount x advertiserAvgAdAgeDays

Why it matters:

• High ad count alone can indicate testing breadth.
• High average age alone can indicate message durability.
• Multiplying both helps identify advertisers with both scale and sustained activity.

Share of Voice Percentage

shareOfVoicePct = advertiserAdCount / totalAdsForQuery * 100

Why it matters:

• Approximates how much visible ad presence each advertiser owns in the result set.
• Helps detect concentrated markets vs fragmented markets.

New Entrant Flag

isNewEntrant = true when advertiser age profile is recent.

Why it matters:

• Useful for spotting emerging competitors before they become obvious incumbents.

Trend Mix (Market Structure)

• Battle-tested: 30+ days
• Gaining traction: 14-30 days
• New test: under 14 days

Why it matters:

• Quick snapshot of whether the niche has stable proven campaigns or rapid testing churn.

6) Inputs

• searchQueries (required): keywords, categories, niche phrases
• country (default US): geographic scope (ISO 2-letter code)
• maxAdsPerQuery (default 200): retrieval depth per query
• proxyConfiguration: residential proxy recommended for reliability

Input examples

• running shoes
• email marketing software
• home gym equipment
• supplements for runners
• wedding photographer

Tip: Specific long-tail queries usually produce better competitive segmentation than broad single-word terms.

7) Outputs and Views

View A: Market Summary

One row per query with strategic market signals:

• total ads
• total advertisers
• battle-tested / gaining / new counts
• average ad age
• top advertiser
• top advertiser share of voice
• top dominance score
• top format
• top CTA
• top advertisers list
• top hooks list

View B: Advertiser Rankings

One row per advertiser per query:

• advertiser name
• ad count
• average ad age
• dominance score
• share of voice %
• new entrant flag
• top format (advertiser level)
• top CTA (advertiser level)

View C: Ads

Ad-level records for creative and landing-page analysis:

• query
• advertiser
• ad age
• trend label
• ad ID
• body text
• headline
• CTA
• format
• page name
• start date
• destination URL
• image URL
• video URL

8) Practical Workflows

Workflow 1: Market entry check

1. Add 5-10 category queries.
2. Run actor for target country.
3. Review Market Summary for concentration and top advertiser share.
4. Review Advertiser Rankings for dominance tiers.
5. Decide whether niche is open, crowded, or concentrated.

Workflow 2: Competitor discovery sprint

1. Start with one core product keyword.
2. Expand with adjacent intent terms.
3. Export advertiser rankings.
4. Build shortlist of top competitors for deeper monitoring.

Workflow 3: Creative strategy + market context

1. Pull advertiser rankings for niche.
2. Open Ads view for top 3-5 advertisers.
3. Compare format and CTA distribution.
4. Build test plan from battle-tested vs gaining-traction patterns.

Workflow 4: Agency client audit

1. Run actor across client category terms.
2. Package market summary + rankings in a report.
3. Present share-of-voice map and creative pattern findings.
4. Use insights to justify media and creative strategy decisions.

9) SEO and Search-Intent Use Cases

This actor is aligned with real search intent behind phrases such as:

• "how to find competitors advertising on Facebook"
• "facebook ads competitor analysis tool"
• "meta ads market research software"
• "facebook ad share of voice"
• "who advertises most on meta ads"
• "meta ad landscape analysis"
• "paid social competitive intelligence"

Because the outputs are structured, it can support:

• strategy reports
• ad intelligence dashboards
• outbound prospecting intelligence
• vertical opportunity assessment

10) FAQ

Is this a Facebook Ad Spy tool?

Yes. In practice it works as a Facebook ad spy and competitor discovery tool, but with stronger market-level intelligence metrics.

Does it require Facebook login?

No. It uses public Meta/Facebook Ads Library data.

Is this for one competitor or whole market discovery?

Whole market discovery. Input keywords, and it discovers advertisers for you.

How is this different from Meta Ad Trend Finder?

Trend Finder prioritizes creative trend patterns by query. Meta Ad Intelligence prioritizes advertiser discovery, dominance ranking, and market structure.

What is the difference between ad count and dominance score?

Ad count shows volume only. Dominance score combines volume and durability (age).

Can I use this for agency lead research?

Yes. It is useful for identifying active advertisers by niche and prioritizing outreach targets.

What countries are supported?

Any country supported by Meta Ads Library country parameter.

11) Data Source and Notes

• Source: Meta/Facebook Ads Library (public transparency data)
• No login required
• Residential proxies recommended for stable pagination
• Results quality depends on query specificity and current ad library availability

Related SEO Phrases

Meta competitive intelligence tool, Facebook competitor ad tracker, Meta ad market scanner, Facebook advertising landscape tool, paid social market intelligence, advertiser discovery software, Facebook Ads Library analytics, Meta ads intelligence platform, social ad competitor research, ad market share analysis.