Lookalike & Prospecting · Amman, Jordan
Your Best CustomerAlready Exists.We Find More.
Lookalike audiences use the signals from your existing customers to find new prospects with the same behaviours, interests, and demographic profile — at a fraction of the cost of cold interest targeting.
In This Briefing
- High-quality seed audience construction
- Meta, Google & TikTok lookalike strategy
- Prospecting campaign architecture
- Lookalike + interest layering for precision
Thiqa Agency — Paid Advertising Specialists, Amman, Jordan.
The truth —Cold interest targeting is expensive. Lookalike targeting built on a high-quality seed is 2–3× cheaper — and most Jordan advertisers are skipping it entirely.
How It Works
The Algorithm Finds Your Next Customer. We Make Sure It Starts From the Right Place.
Lookalike audiences work by analysing the characteristics of a 'seed' audience — your existing customers, leads, or high-intent visitors — and finding new users who share those patterns across the platform's user base. The quality of your seed determines the quality of your lookalike. A bad seed produces a diluted lookalike. A good seed produces a high-conversion prospecting audience.
- Meta uses 100+ signals to match users: browsing, engagement, purchase behaviour
- 1% lookalike = most similar to seed; 10% = broader reach, lower similarity
- Google Similar Audiences uses search history and YouTube behaviour
- TikTok Lookalike audiences use in-app engagement signals
Seed Audience Construction
Better Seed = Better Lookalike. This Is Where Most Campaigns Go Wrong.
We build seed audiences from your highest-quality signals — not just 'all website visitors'. This requires combining your CRM data, pixel events, and purchase history into a clean, deduplicated seed that the platform algorithm can extract maximum signal from.
- Customer email list upload — clean, deduplicated, properly formatted
- Value-based lookalikes — weight by customer LTV so algorithm finds high-spenders
- Purchase event lookalike — seeded from pixel purchase events
- WhatsApp enquirer list — often the highest-intent seed available
Platform Strategy
Meta, Google, and TikTok Each Build Lookalikes Differently.
Each platform has different data inputs, audience size minimums, and lookalike construction logic. We build platform-specific strategies rather than copying the same seed across all three — because what works as a Meta lookalike seed doesn't necessarily work for Google Customer Match.
- Meta: 1–2% lookalikes for precision, 3–5% for reach, stacked together for scale
- Google Customer Match: requires email list with minimum 1,000 matched users
- TikTok: Custom Audience minimum 10,000 users; works best for mass-market brands
- LinkedIn Matched Audiences: B2B lookalikes based on company and job title data
Prospecting Campaign Architecture
Lookalike + Interest Layering Cuts Out the Non-Buyers.
Bare lookalike targeting can include users who match the profile but have no relevant intent. We layer behavioural and interest signals on top of lookalikes to narrow to the highest-probability buyers — reducing wasted impressions while maintaining reach for scalable prospecting.
- Interest layering: combine lookalike with relevant category interests
- Behaviour layering: recent online purchasers + lookalike overlap
- Exclusion lists: remove existing customers and retargeting audiences to avoid waste
- Iterative testing: compare 1% vs 2% vs 5% lookalikes head-to-head
FAQ
Common Questions.
Ready to Start
Your best customers are the map. Let's find more of them.
Tell us your current audience targeting and we'll show you what a lookalike rebuild would unlock.
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