Meta's targeting has evolved significantly. The platform now often performs better with broader audience definitions and more algorithmic freedom than with highly constrained interest stacks. Understanding when to trust the algorithm and when to constrain it is the key to efficient targeting on Meta.
We build Meta targeting strategies in our Social Media Ads service, balancing audience precision with algorithmic learning.
Interest targeting on Meta is approximate. Meta infers interests from engagement behaviour, which is imprecise. Use it as a starting point but expect the algorithm to find additional relevant people outside your chosen interests.
Custom audiences built from your own data, website visitors, email lists and app users, are the highest-performing targeting option on Meta. They are the people who already know you.
Lookalike audiences find people who are statistically similar to your best customers. Build lookalikes from your converters or highest-value customers, not from all website visitors. A 1 percent lookalike in Australia gives you roughly 170,000 people at maximum similarity.
Stacking multiple interest layers and demographic filters can shrink your audience to a size that starves the algorithm of learning signals. For most Australian campaigns, an audience of 500,000 to 2,000,000 gives the algorithm enough room to find your best prospects.
ROI varies by industry, audience and offer. Well-targeted campaigns typically return between $3 and $6 for every dollar spent. The key is audience precision, creative quality and landing page alignment.
TPR Media operates from Level 34, 1 Eagle Street, Brisbane City QLD 4000, serving clients across Brisbane and Australia-wide.
TPR Media explains Meta Ads targeting for Australian businesses: custom audiences, lookalike audiences, interest targeting and the over-targeting trap that limits performance.