Broad Audience vs Retargeting on Meta Ads: Which Strategy Wins in 2025?

Broad targeting on Meta Ads means launching campaigns without defining precise targeting criteria for interests, behaviors, or demographics. You define only the geographic area and, optionally, age range and gender.

Meta then autonomously determines who to show your ads to, relying on its pixel, the behavioral data of its 3 billion users, and your ad account history.

**How it differs from granular targeting:** With granular targeting (interests, lookalikes), you tell Meta "find people who look like this." With broad, you tell Meta "find people who will convert for me." The second instruction is more powerful when the pixel has enough data to understand what "converting" means on your account.

**The critical threshold:** broad targeting outperforms granular targeting starting at 50 conversions per week in your account. Below that, Meta's algorithm lacks signal to target effectively — interest-based targeting provides better guidance.

Data from tests run on Meta accounts in 2025 (confirmed by discussions in PPC communities) shows a clear trend:

**On accounts with 50+ conversions/week:** broad targeting with strong creatives outperforms narrow retargeting in 70% of tested cases. Meta's algorithm finds new buyers more efficiently than lookalikes or interest stacking.

**On accounts with <20 conversions/week:** retargeting remains superior. The algorithm lacks enough signal to optimize broad — you get many impressions without conversions.

**The double-counting problem:** 40-60% of Meta view-through conversions (1-day view window) are also attributed to Google Ads or another channel. When comparing Meta broad vs Meta retargeting, verify you're using a comparable attribution window (1-day click only) to avoid over-attributing to Meta.

**The long-term trend:** Meta is clearly pushing toward broad via Advantage+ and Advantage+ Audience. The platform has invested heavily in its automatic targeting algorithms. Resisting this trend on mature accounts often means leaving performance on the table.

Use this framework to decide which approach to prioritize on your account:

**Criterion 1: Conversion volume** - 50+ conv/week → broad can outperform retargeting → test broad - 20-50 conv/week → mixed approach → broad for prospecting, retargeting for warm audiences - <20 conv/week → prioritize retargeting → insufficient signal for broad

**Criterion 2: Pixel quality** - Pixel with 1,000+ Purchase events in the last 180 days → powerful broad - Pixel with <200 Purchase events → assisted targeting (lookalike, interests) recommended

**Criterion 3: Purchase cycle length** - Short cycle (<48h) → broad + ASC → algo captures intent at the right moment - Long cycle (>7 days) → sequential retargeting → nurture the prospect across multiple touchpoints

**Criterion 4: Creative quality** - Varied, tested UGC creatives → broad → algo picks the right creative for each profile - Generic or low-differentiation creatives → retargeting → audience already exposed to your brand

**Criterion 5: Daily budget** - >€100/day → broad viable → enough budget to feed the learning - <€50/day → retargeting or narrow audiences → insufficient budget for broad learning

The question isn't "broad OR retargeting" but "what's the optimal budget split between both."

**Our recommended structure for a mature ecommerce account:**

**Campaign 1: ASC (Advantage+ Shopping) — 60% of budget** Automated broad, varied creatives (10-15 active), Meta manages cold/retargeting split. This is the volume and acquisition engine.

**Campaign 2: Manual warm retargeting — 25% of budget** Audiences: cart abandoners (3-7 days), product page visitors (7-14 days), 75%+ video viewers. Personalized messages per funnel stage. Lower expected CPA since audience is already engaged.

**Campaign 3: Creative testing — 15% of budget** Dedicated campaign for testing new creatives with broad audiences, limited budget per creative. Winners join campaign 1.

**What this avoids:** cannibalization between your broad and retargeting campaigns (ASCs already handle retargeting internally), and wasting retargeting budget on audiences too cold (>30 days since last interaction).

A frequent trap: comparing broad Meta performance without accounting for its interaction with Google Ads.

**The cross-attribution problem:** A user can see your broad Meta ad (without clicking), do a Google search the next day, click your Google ad, and purchase. Result: Meta counts this conversion (1-day view window) AND Google counts this conversion (click window). You get the impression broad Meta is performing well, but Meta took credit for a conversion essentially generated by Google.

**How to measure correctly:** - Always compare using 1-day click only (no view-through) for Meta - Cross-reference with GA4 or Shopify data to validate actual order volume - Look at broad Meta's impact on total revenue (lift test if available), not just Meta-reported conversions

**Broad Meta as a demand generation lever:** For products with a strong "discovery" component (new products, little-known categories), broad Meta can generate demand that then converts on Google Search. Don't evaluate it solely on direct conversions — its top-of-funnel impact can be significant without appearing in Meta metrics.