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Why Your Lookalike Audiences Underperform (And What to Do About It)

Why Your Lookalike Audiences Underperform (And What to Do About It)

Lookalike Audiences are one of the most powerful targeting options for advertisers. They allow you to reach people who share similar characteristics with your best customers. But many marketers face a common problem: their Lookalike Audiences don’t perform as expected. If your campaigns are bringing weak engagement, low CTR, or high CPA, you’re not alone.

In fact, according to WordStream, the average Facebook Ads CTR is 0.90%, while top-performing campaigns regularly achieve 2–3%. Lookalikes should, in theory, help push your performance closer to the high end. If that’s not happening, there are clear reasons—and solutions.

Why Lookalike Audiences Underperform

1. Weak Source Data
Your Lookalike is only as strong as the source audience it’s built on. If your seed list contains too few people (less than 1,000) or low-quality leads, the algorithm has little to work with.

2. Wrong Audience Size Selection
A 1% Lookalike Audience will be the closest match but may be too narrow, while 5–10% expands reach but sacrifices similarity. Choosing the wrong percentage often results in wasted spend.

3. Overlap With Existing Campaigns
If your Lookalikes overlap heavily with your interest-based or retargeting campaigns, you’re bidding against yourself, driving up CPMs and CPA.

4. Poor Creative Alignment
Even if your targeting is perfect, ads that don’t resonate with the audience will underperform. Lookalike users expect relevance based on their similarities with your customers.

5. Changing Platform Signals
With privacy updates like iOS 14.5, Facebook has less visibility into user behavior. This can reduce the accuracy of Lookalike modeling.

How to Fix Underperforming Lookalikes

Graphic showing lookalike audience percentage (1% to 10%) with annotations on similarity vs. reach.

How Lookalike Audience Size Affects Reach and Similarity — start small for precision, expand for scale

1. Improve Your Source Audience Quality

  • Use high-value customers, not just leads.

  • Build Lookalikes from purchasers, subscribers with high engagement, or customers with higher lifetime value.

2. Test Multiple Audience Sizes

  • Start with 1% Lookalikes for precision.

  • Expand gradually (2%, 3%, up to 5%) while monitoring performance.

  • Segment different Lookalike percentages into separate ad sets.

3. Minimize Overlap

  • Use Facebook’s Audience Overlap tool.

  • Exclude custom audiences from Lookalikes when necessary.

4. Align Creative With Audience

  • Tailor messaging that matches your seed audience’s profile.

  • Highlight testimonials, case studies, or products similar to those your top customers buy.

5. Refresh Your Data Regularly

  • Update seed lists at least every quarter.

  • Use dynamic sources like website custom audiences for continuous relevance.

Key Statistics to Remember

Bar chart comparing CTR, CPC, and CPA of Lookalike audiences against average Facebook ad benchmarks

Bar chart comparing CTR, CPC, and CPA of Lookalike audiences against average Facebook ad benchmarks

  • Facebook’s average CPC across industries is $1.72. Strong Lookalikes often perform at 20–30% lower cost.

  • 65% of marketers report that Lookalikes drive higher-quality leads when built on purchase data rather than general website traffic.

  • Brands that refresh their seed audiences quarterly see up to 25% better CTR compared to stagnant lists.

Suggested Reading From LeadEnforce

To dive deeper into improving your campaigns, check out these articles:

Conclusion

Lookalike Audiences remain a valuable tool, but only when used correctly. If your results are underwhelming, the problem isn’t with the feature itself—it’s with how the audience is built, managed, and paired with creative. By improving your source data, testing sizes, minimizing overlap, and refreshing regularly, you’ll turn underperforming Lookalikes into a reliable driver of growth.

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