Value-based vs standard Lookalike Audiences: which should you use?

A Lookalike Audience asks Meta to find new people who resemble an audience you already have. The quality of that audience comes down to one decision: what you ask Meta to resemble. Standard and value-based Lookalikes answer that question very differently, and picking the right one can be the difference between scaling profitably and burning budget on low-value lookalikes.

Standard Lookalikes: similar to your customers

A standard Lookalike treats every member of your source audience equally. Seed it with "everyone who purchased" and Meta looks for people similar to the averagebuyer. A customer who spent £15 once counts exactly the same as one who's spent £4,000 over two years.

That's fine when your customers are fairly homogeneous, or when you simply want reach. But most stores have a long tail: a small group of high-value customers and a large group of one-time, discount-driven buyers. Optimise toward the average and you tend to find more of the larger group — the low-value one.

Value-based Lookalikes: similar to your best customers

A value-based Lookalike uses a customer value column (for most Shopify stores, lifetime Total Spent) to weight the source audience. Meta puts more emphasis on your highest-value customers and looks for people who resemble them specifically.

The practical effect is that Meta prospects for people who look like your VIPs, not your bargain hunters. When your goal is long-term profitability rather than raw conversion count, this is almost always the stronger choice.

When to use each

• Use value-based when you have a clear spread between your best and average customers, you care about LTV and margin, and your customer list is large enough to seed from (Meta needs a reasonable number of matched, valued records).
• Use standard when your customer values are fairly uniform, your list is small, or you specifically want maximum top-of-funnel reach and will qualify value further down the funnel.
• Test bothas separate ad sets when you can. They're not mutually exclusive, and the winner often surprises people.

How to seed a value-based Lookalike properly

The seed is everything. Export your full customer list from Shopify, convert it into Meta's format with Total Spent placed in the value column, upload it as a Customer List Custom Audience, and confirm you include the value column during upload. Then build your Lookalike from that audience and choose the value-based option. Refresh the source list periodically so the lifetime values — and therefore your Lookalike — stay current as customers reorder.