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Learn about Website Custom Audiences (WCA), a powerful Meta advertising tool that enables retargeting website visitors based on their actions. Discover how to effectively use WCAs to recover conversions and improve ad performance, along with common mistakes to avoid. Click to continue reading!

WCA stands for Website Custom Audience — a Meta advertising audience built from your website visitors, tracked via the Meta Pixel or Conversions API (CAPI). It allows you to re-engage people who visited your site, viewed specific products, added items to cart, or triggered other custom events.
Think of WCA as your warmest pool of leads — these users have already raised their hands by landing on your site. Whether they bounced or added to cart and ghosted, WCA lets you follow up with laser-focused ads based on what they did (or didn’t) do.
Use WCAs when you're running retargeting or re-engagement campaigns, particularly for:
WCA sits in the mid-to-bottom funnel — it's the ad equivalent of sending a personalized follow-up email. You’re not prospecting here — you're closing.
WCA is one of the highest-leverage tools in the Meta ads toolbox. These users are already familiar with your brand, which means:
Strategically, WCA helps you recover missed conversions, improve blended ROAS, and keep your brand sticky. It also helps you sequence messaging — you can speak differently to a product viewer than to someone who bounced off the homepage.
When performance tanks on cold, WCA campaigns can keep the entire ecosystem afloat.
Overlapping Retargeting Windows
Retargeting everyone from 1–30 days without exclusions leads to ad fatigue and budget cannibalization. Always segment by intent and recency (e.g. 1–3 days, 4–7 days, 8–30 days).
No Frequency Caps
Bombarding WCAs with the same ad five times a day burns trust fast. Frequency capping avoids over-saturation.
Lazy Creative Matching
Serving generic brand ads to cart abandoners is a missed opportunity. Customize creatives by behavior — urgency for carts, education for product views, credibility for bounce traffic.
Here’s how to set it up inside Meta Ads Manager:
Pro Tip: Use dynamic product ads (DPA) with WCAs to match ads with the products users already interacted with.
| Feature | WCA | Lookalike Audiences |
| Data Source | Actual site visitors | Modeled based on WCA or customer lists |
| Intent Level | Warm/high intent | Cold/moderate intent |
| Use Case | Retargeting & recovery | Prospecting |
| Performance Goal | Lower CAC, higher conversion | Scaling reach |
In short: WCA = real people who visited, LAL = modeled people who look similar.
DTC Skincare Brand
Set up WCAs for Add to Cart (ATC) in the last 7 days and paired it with DPAs showing exactly what users left behind. Added a 15% discount CTA. Result: 5.6x ROAS on WCA campaigns vs 2.3x on cold.
Apparel Brand
Ran three WCA segments: Viewed Product (1–3d), ATC (4–10d), and Site Visit Only (11–30d). Each had tailored messaging — urgency, education, and re-introduction respectively. Helped recover over 18% of abandoned carts in Q4.
At 2x, we treat WCAs like gold-plated leverage zones — not “set it and forget it,” but a dynamic, evolving pool of buyer intent. Here’s our perspective:
In short: Your WCA is your CRO playground. If it’s not converting, the problem isn’t targeting — it’s your offer, creative, or experience.
How big should my WCA be to be effective?
At least 1,000 users per segment is ideal for reliable delivery. But you can start with 300–500 for ATC or checkout segments.
Can I use WCA on Instagram and Facebook separately?
Yes, but Meta treats the audience source the same — you can control placement by ad set or campaign settings.
How do I exclude purchasers from WCA campaigns?
Create a separate Custom Audience for “Purchase” and exclude it at the ad set level.
Does WCA work with CAPI only (no pixel)?
Yes, as long as CAPI is passing event data like ViewContent, ATC, etc.
Can I use WCA for lead gen or non-eCommerce brands?
Absolutely. Create WCAs based on visited landing pages, form views, or custom thank-you pages.
The integration of AI into the legal industry is still in its early stages, but the potential is immense. As AI technology continues to evolve. We can expect even more advanced applications, such as:
Accessible to individuals and small businesses.
Bridging gap by providing affordable solutions.
Extract structured data from hundreds of documents at the same time.
Extract structured data from hundreds of documents at the same time.


