Advanced Facebook Ads Targeting Techniques to Increase ROAS in 2025

Why ROAS-Optimized Targeting Matters in 2025

In 2025, Facebook is no longer just a social platform, it's an AI-powered commerce machine. With rising CPMs and more privacy restrictions than ever, targeting the right person, with the right message, at the right time is no longer optional- it’s critical.

But traditional tactics like interest targeting or broad lookalikes aren’t enough anymore. You need data-fueled, creative-smart, and automation-ready targeting strategies to sustain profitable campaigns.

Let’s dive deep into what actually works in 2025.

1. Zero-Party Data Targeting

With Meta’s evolving privacy model and the continued impact of iOS changes, zero-party data is more important than ever.

What It Means: Data that your customers willingly give you—like quiz results, preferences, email signups, or DMs.

Tactic: Run lead ads with value-packed incentives (e.g., early access, discounts, quizzes). Then segment audiences based on their responses and use those insights to retarget with dynamic creatives.

Example:

• A skincare DTC brand collects data via a “Skin Quiz” and creates segments like Dry Skin Seekers, Acne Fighters, etc. Each segment receives tailored ads showing relevant products with testimonials and UGC.

Result: Higher CTR and ROAS due to hyper-relevant messaging.

Tool Tip: Deepsolv's Brandy can automate DM quizzes and route users into CRM-integrated segments, ready for targeting.

2. Server-Side Conversions API (CAPI) Optimization

Why It Works: Browser-based pixel data is increasingly unreliable. CAPI allows you to pass data server-to-server, boosting signal quality and event matching.

Implementation:

• Integrate Facebook CAPI via Shopify, WooCommerce, or manual setup.
• Use enhanced matching (e.g., email, phone) for better attribution.

Impact: Brands using both Pixel + CAPI see an average 15–25% lift in event attribution accuracy, helping Meta’s algorithm better optimize delivery.

3. High-Intent Retargeting with On-Platform Engagements

Instead of just targeting website visitors, build retargeting pools based on on-platform behavior:

• Video views (25%, 50%, 75%)
• Instagram profile visits
• Carousel engagement
• Saved posts
• Commenters and DMs

Example:

A fashion brand retargets users who watched 75% of their new collection launch video with a dynamic catalog carousel + limited-time promo.

Why It Works: You’re tapping into warmth with minimal leakage due to iOS restrictions.

4. Behavioral-Based Broad Targeting

If you’re stuck at the "interests vs. broad" debate, try the hybrid model—behavioral-based broad targeting.

How:

• Let Meta's AI do the targeting (broad audience).
• Use behaviorally segmented creatives that speak to micro-intents (e.g., impulse buying, gifting, restocking).

Example:

• A fragrance brand runs three creatives:
  • "Out of stock again? Your signature scent awaits."
  • "Birthday coming up? Smell unforgettable."
  • "For the one who has everything: a fragrance they haven’t tried."

Meta then finds people likely to resonate with each intent trigger—even without traditional interest signals.

5. Predictive Lookalike Audiences (Using AI Insights)

Standard lookalikes based on past purchases are outperformed by predictive lookalikes built on deeper insights.

Deepsolv’s Adam can:

• Analyze your top-performing customers’ psychographics
• Cross-reference with your competitors’ high-performing audiences
• Build predictive persona groups that you can export for LAL targeting

Example:

• A DTC coffee brand realizes that its best customers are not just coffee lovers, but morning routine enthusiasts. They build content + lookalikes based on that persona.

Result: Increased CAC efficiency and higher repeat purchase rate.

6. Micro-Funnels Based on Content Journey

Create mini-funnels using Facebook’s on-platform tools:

• Step 1: Hook ad (Reel, Story, or UGC snippet)
• Step 2: Deep-dive carousel or explainer video
• Step 3: Offer-led conversion post

Retarget based on interaction depth.

Example: A clean beauty brand:

• Runs a viral hook ad: “This lipstick is made with beetroot”
• Retargets 75% viewers with a story carousel about ingredient sourcing
• Final layer offers a first-purchase discount with urgency CTA

This narrative-based targeting nurtures buyers through curiosity > trust > conversion.

7. AI-Driven Dynamic Creatives + Smart Targeting

You can’t scale ROAS in 2025 without creative testing at speed.

Why It Works: Meta prioritizes relevance and freshness. Dynamic creatives allow AI to pair the best headlines, visuals, and CTAs per user segment.

Powered by Adam:

• Get competitor ad scans across Facebook, TikTok, and YouTube
• Turn trending formats into branded video scripts
• Launch dynamic creatives that evolve with real-time feedback

Result: Reduce creative fatigue and improve ROAS via variation velocity.

8. Targeted User-Generated Content (UGC) Layering

Pair different styles of UGC with different audience segments:

• First-time buyers → Use “unboxing” and “first impression” videos
• High-value cart abandoners → Use “comparison” or “review” content
• Repeat buyers → Use “testimonial” + “creator endorsement” content

Tool Tip: Use Brandy to auto-reply to comments and source UGC from creators directly via DM flows. Seamless retargeting.

9. Geo-Adaptive Targeting

Customize your ad language and offers by location—even within one country.

Example:

• A pan-India DTC supplement brand runs:
  • English creatives in metro cities
  • Regional language video ads in Tier-2/3 towns
  • Custom discounts or bundles based on regional buying behavior

Why It Works: Feels hyper-personalized, improving CTR and conversion rates.

10. Ad Fatigue Monitoring + Audience Refreshing

ROAS tanks not because targeting stops working—but because your audience sees the same thing over and over.

Fix It:

• Monitor frequency + performance drop in Ads Manager
• Use a 45–60 day rotation window to refresh audience pools (exclude seen audiences, bring in net-new via lookalikes or fresh quizzes)

Bonus: Brandy can auto-label frequent commenters and DMs with high intent. You can exclude these from future cold campaigns and include them in loyalty offers instead.

Final Thoughts

The future of Facebook Ads is not about just interest stacking. It’s about intelligent creative x data-fueled targeting x automation at scale.

By leveraging tools like Deepsolv’s Adam for strategy and creative scripts, and Brandy for automation and comment/DMS-based retargeting, you create a system that doesn’t just scale spend—but also scales performance.

→ Want a personalized ROAS audit or ad strategy? Book a Free Call With Deepsolv