Ad Intelligence Query
Search ad creatives and app analytics. Spy competitors in seconds.
What Is Ad Intelligence Query?
Ad Intelligence Query is a competitive advertising research skill on EasyClaw that lets you search, analyze, and monitor ad creatives and app marketing strategies across major digital platforms. It provides access to ad creative libraries, app download and revenue analytics, and channel spend distribution data — giving marketers, growth teams, and app publishers a structured view of how competitors are advertising.
The skill is designed for performance marketers benchmarking their creative strategy, app developers analyzing competitor user acquisition tactics, brand managers monitoring category advertising trends, and agencies conducting competitive audits before campaign launches.
The expected outcome is actionable competitive intelligence: the top-performing ad formats a brand is using, which channels a competitor is investing in, how an app's download trajectory compares to category leaders, or what creative approaches are dominating a specific market.
How Ad Intelligence Query Works
1. Define your research target. Specify a brand, app, or product category. You can also specify a market (US, UK, China, etc.) and platform (Meta, TikTok, Google, etc.) to focus the analysis.
2. Creative and spend data retrieval. The skill queries advertising intelligence databases to pull active and historical ad creatives, estimated spend distribution, and format breakdowns (video, image, carousel) for the target brand or category.
3. App analytics extraction. For mobile apps, the skill retrieves download rankings, revenue estimates, monthly active user trends, and advertising channel distribution — showing where an app is spending to acquire users and how it's performing as a result.
4. Structured results output. Data is returned as formatted summaries: top advertisers in a category, creative format breakdowns, channel allocation percentages, and download/revenue ranking tables.
5. Trend identification. For category-level queries, the skill identifies which formats, messaging angles, and channels are gaining share — useful for planning campaigns that align with what's working in the market.
Key Features
- Creative search: Find a brand's recent ad creatives by platform and market, including video, image, and carousel formats.
- Competitor ad analysis: See top advertisers in any category, their estimated spend, and primary creative approaches.
- App analytics: Access download rankings, revenue estimates, and MAU trends for any mobile app.
- Channel distribution: Understand how a competitor allocates budget across Meta, Google, TikTok, and other channels.
- Market-specific data: Filter analysis by geography to understand regional advertising strategies.
- Creative trend scanning: Identify which ad formats and messaging approaches are gaining traction in any category.
What Problems Does Ad Intelligence Query Solve?
1. Auditing a competitor's ad creative strategy
A DTC brand wants to understand how Temu is advertising in the US before planning their own Meta campaign. They ask Ad Intelligence Query for Temu's recent video ads in the US market. The result shows the top creative formats, common messaging themes, and estimated ad frequency — informing creative direction without guesswork.
2. Analyzing an app's user acquisition strategy
A mobile game studio wants to understand how a competitor app is driving installs. They ask for the app's channel distribution and creative trends. The result shows that 70% of spend is on Meta video, with hyper-casual gameplay clips as the dominant format — a benchmark for their own UA strategy.
3. Monitoring category ranking and performance
An app publisher wants a weekly pulse on how mobile games are ranking in their category. A quick ranking query returns current chart positions, estimated downloads, and revenue overview — a fast competitive snapshot without navigating multiple app stores manually.
4. Researching creative formats before a campaign launch
Before launching a TikTok campaign, a growth marketer uses Ad Intelligence Query to understand which creative formats — UGC-style, product demo, testimonial — are performing best for competitors in their vertical. This research shapes the creative brief before production begins.
5. Identifying whitespace in a competitive landscape
By reviewing ad intelligence across a category, a brand strategist identifies that most competitors are using price-focused messaging. This signals an opportunity to differentiate with quality or emotional positioning — a strategic insight drawn directly from competitive ad data.
Example Workflow
A growth manager at a mobile productivity app wants to understand how a direct competitor is acquiring users before their own campaign launch.
1. They open EasyClaw and activate Ad Intelligence Query.
2. They type: *"Analyze [competitor app]'s ad strategy — channel distribution and creative trends."*
3. The skill returns: 60% Meta, 25% Google UAC, 15% TikTok. Primary format: 15-second video demos. Key message: "Save 2 hours per day."
4. They ask: *"How are productivity apps ranking right now? Downloads and revenue overview."*
5. They receive a category ranking table with download and revenue estimates for the top 10 apps.
6. They use this data to brief their creative team: match the dominant video format, differentiate the message angle.
Competitive audit completed in under 10 minutes.
Getting Started with Ad Intelligence Query
Benefits of Using Ad Intelligence Query
Replaces hours of manual research. Manually collecting competitor ad data — finding creatives on Meta Ad Library, cross-referencing with app store rankings, estimating spend — takes a full day. This skill consolidates that research into a single conversational query.
Data-informed creative decisions. Creative briefs built on competitive intelligence produce better-performing ads than briefs based on intuition alone. Knowing what formats and messages are working in your category de-risks creative investment.
Accessible to teams without data subscriptions. Professional ad intelligence tools (Sensor Tower, SimilarWeb, Pathmatics) cost thousands of dollars per year. This skill makes similar intelligence accessible through EasyClaw without separate platform subscriptions.
Category-level and brand-level flexibility. Whether you need a broad view of what's working across an entire vertical or a detailed audit of a single competitor, the skill handles both query types within the same interface.
Faster response to market shifts. Monitoring how category advertising evolves quarterly — which channels are gaining share, which creative formats are emerging — helps teams adapt strategy before they fall behind competitors.
Best Practices
- Specify market and platform for more precise results. "Temu's recent video ads in the US on Meta" is more actionable than "Temu ads." Market and platform context significantly improves result relevance.
- Combine creative analysis with performance data. Knowing what a competitor is running is more valuable when paired with how those ads are performing — combine creative search with app analytics or ranking data in the same session.
- Use category scans for strategic planning, brand scans for tactical response. Category-level intelligence informs quarterly strategy; brand-level monitoring informs immediate campaign adjustments.
- Track trends over time, not just point-in-time snapshots. Run the same query monthly to identify shifts in competitor strategy — channel pivots, format experiments, messaging changes — before they become visible in your own performance metrics.
- Cross-reference with your own performance data. Ad intelligence tells you what competitors are doing, not why it's working for them. Always validate competitive hypotheses against your own A/B test results before making major budget shifts.
Frequently Asked Questions
What platforms does Ad Intelligence Query cover?
The skill covers major digital advertising platforms including Meta (Facebook and Instagram), Google (Search, Display, YouTube), TikTok, and select regional platforms. Coverage depth varies by market and platform — Meta and Google tend to have the most comprehensive data.
How accurate are the spend and download estimates?
Estimates are derived from third-party intelligence sources and statistical modeling — they are directional indicators, not audited figures. Use them to understand relative scale and allocation rather than as precise spend measurements.
Can I see the actual ad creatives?
For platforms with public creative libraries (Meta Ad Library), the skill can surface links to active creatives. For platforms without public libraries, the skill returns creative metadata — format type, estimated impressions, messaging themes — rather than the actual creative assets.
How current is the competitive data?
Data freshness varies by source. Active ad data is typically 1–7 days old. App store ranking and download data is usually updated daily or weekly. Historical trend data may have longer update cycles.
Can I monitor a competitor's advertising over time?
Yes. You can run the same query periodically to track changes in a competitor's channel mix, creative formats, or spend levels. For ongoing monitoring, set a regular cadence — weekly for fast-moving categories, monthly for more stable markets.
Does this skill work for B2B advertising research?
It works best for B2C and app-based companies with significant digital advertising spend. B2B companies with smaller ad budgets or LinkedIn-heavy spend may have limited data available, as B2B platforms are less well covered by third-party intelligence tools.
Can I research advertising in specific countries?
Yes. Specify the target market in your query — "US," "Germany," "Southeast Asia" — and the skill filters results to that geography where data is available.
What is "creative type breakdown" and why does it matter?
Creative type breakdown shows the percentage of a brand's ad spend or impressions allocated to video, static image, carousel, and other formats. Understanding format mix helps you calibrate your own creative production priorities — if 80% of category spend is on video, producing primarily static ads puts you at a structural disadvantage.
Can I use this skill for influencer marketing research?
Ad Intelligence Query focuses on paid media advertising data. For influencer marketing research — sponsored content, creator partnerships — dedicated influencer analytics tools provide better coverage.
Is this skill useful for agencies managing multiple clients?
Yes. Agencies can run competitive audits across different clients and verticals within EasyClaw. The conversational format makes it easy to switch between research targets and compile findings across multiple brands in a single session.
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