If you run an AI video ads agency, you don’t need “more leads.”

You need brands that are:

• Actively running ads
• Testing new creatives
• Spending real budget
• Open to performance optimization

The fastest way to find them? Analyze live ad data instead of scraping random emails.

Let’s break down how top-performing AI video agencies source high-intent clients using public ad signals — and how you can do the same using data from adsleadz.com.

Why “Brands Testing New Creatives” = High-Intent Clients

Not all advertisers are equal.

There’s a massive difference between:

• A brand that launched one ad 6 months ago
• A brand that uploaded 12 new creatives in the last 14 days

The second one is testing, scaling, spending, and measuring performance.

According to Meta’s 2024 advertising report, brands that continuously test creative variations see up to 30–40% higher performance compared to static campaigns.
Source: Meta Creative Effectiveness Report

Testing = budget. Budget = opportunity.

For an AI video ads agency, these brands are perfect prospects.

Where to Find Brands Testing New Creatives

1. Facebook Ads Library (Manual Way)

Meta provides public access to all active ads via the Facebook Ads Library.

You can:

• Search by brand name
• Filter by country
• View active creatives

But manually checking thousands of advertisers? Impossible at scale.

That’s where automation comes in.

Using Ads Data to Identify Creative Testing Signals

Tools like adsleadz.com analyze ad activity at scale.

Instead of manually browsing Ads Library, you can filter advertisers by:

• Number of active ads
• Ad launch date
• Ad format (video, image, carousel)
• Industry
• Country
• Similar ad variations

This lets you answer one key question: Who just launched multiple new creatives?

That’s your lead list.

5 Data Signals That Indicate a Brand Is Testing

1. Spike in Active Ads

If a brand had 3 ads last month and now runs 18 — they’re scaling.

High-volume testing usually means performance-driven marketing, budget allocation, and creative experimentation.

For AI video agencies, this is a perfect entry point.

2. Multiple Similar Video Variations

Example:

• Same product
• Same offer
• Slight hook changes
• Different first 3 seconds

That’s classic A/B testing.

Agencies can pitch: AI-generated hook testing, script optimization, automated UGC-style video variants.

3. Frequent Creative Upload Dates

If ads were uploaded within the last 7 days or last 14 days, the brand is actively iterating.

That’s when they’re most open to external solutions.

4. High Creative Volume in DTC Verticals

Industries that test aggressively:

In 2025, the global digital advertising market exceeded $680 billion, according to Statista. A significant portion of that is performance-driven video ads.

5. Competitor Creative Clusters

If 4 brands in the same niche suddenly run similar creatives, it signals a new trend, winning angle, or seasonal spike.

An AI agency can reverse engineer the pattern and offer an improved AI-optimized version.

Step-by-Step: How an AI Video Ads Agency Can Build a Lead List

Step 1 – Filter by Industry

Choose high-video industries: Beauty & Personal Care, E-commerce, Fitness, DTC brands.

Step 2 – Filter by Active Ads Count

Example filter: minimum 10 active ads, video format only. This removes low-intent brands.

Step 3 – Filter by Recent Launch Date

Target ads launched within the last 30 days. These brands are testing now — not last year.

Step 4 – Identify Variation Patterns

Look for: same background with different hook, same script with different CTA, same footage with different captions. That’s creative testing.

Step 5 – Extract Contact Information

Many tools only show ads. Platforms like adsleadz.com allow agencies to access brand website, extract business emails, identify contact pages, and export structured lead data.

Instead of cold emailing random Shopify stores, you reach brands that are already investing in video ads.

Real-World Use Case

Let’s say you run an AI agency generating AI UGC avatars, script testing automation, auto hook variations, and bulk video rendering.

You filter: Country United States, Active Ads 15+, Format Video, Industry Beauty.

You find Brand X: 23 active video ads, 6 uploaded in the last 10 days, same product with different hooks.

You pitch: We noticed you’re testing multiple hooks for your serum campaign. We help brands generate 50 AI hook variations in 48 hours.

That’s contextual outreach. Conversion rate > generic cold email.

Why Generic Lead Scraping Doesn’t Work

Random scraping gives unqualified stores, no ad activity, no testing, no urgency. Response rates often below 1%.

Targeted ad-signal outreach can reach 3–8% reply rates, higher demo booking rates, and faster deal cycles — because the timing is right.

Comparison: Manual vs Data-Driven Prospecting

Agencies that combine creative insight, ad signal data, and contextual outreach win consistently.

Who This Strategy Is For

• AI video ad agencies
• UGC automation platforms
• Creative performance agencies
• Script optimization tools
• AI avatar video services

Who It’s Not For

• Branding-only agencies
• SEO-only services
• Non-performance marketers

This works when ads = core revenue driver.

Advanced Strategy: Detect Creative Fatigue

Creative fatigue happens when the same ad runs for 60+ days, CTR drops, and new variations appear suddenly.

According to Meta benchmarks, creative fatigue can reduce performance by up to 25% after 4–6 weeks of continuous exposure.

Agencies can monitor ad age, variation frequency, and creative swaps — and pitch: We help brands refresh creatives weekly using AI.

How AI Agencies Can Differentiate

Instead of saying: “We create AI videos.”

Say: “We monitor brands actively testing creatives and generate scalable variations based on proven ad patterns.”

That positioning is data-backed. And much stronger.