How to Use Audience Signals in Performance Max Campaigns (2026 Guide)

By Rafirit Station Editorial Team · Updated 2026 · ⏱ 15 min read

Audience signals in Performance Max campaigns are the single most underutilized lever for improving ROAS. According to Google Ads Help, advertisers who use audience signals see up to 38% higher conversion rates. Yet many campaigns run without any signal guidance, relying solely on Google’s automated targeting.

In 2026, Performance Max has evolved with more granular audience controls, making it essential to actively manage signals. The shift to privacy-first tracking makes first-party audience data more valuable than ever. Without signal optimization, you’re leaving money on the table.

A Dhaka-based fashion retailer we worked with was burning ৳1,20,000 per month on irrelevant clicks with a ROAS of just 0.8. By implementing structured audience signals, they turned that around to 3.2x ROAS within 60 days. The cost of ignoring signals? Thousands of takas wasted daily.

After reading this guide, you’ll know exactly how to structure audience signals for Performance Max—from data foundation to continuous optimization. You’ll get actionable templates and a checklist to implement with your team immediately.

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📚 External Resources (Bookmark These)

• Google Ads Help: About Performance Max audience signals
• HubSpot Blog: Performance Max Campaigns Guide
• Moz: Performance Max Audience Signals
• Semrush Blog: Performance Max Campaigns
• Ahrefs: Performance Max Guide
• Backlinko: Performance Max Strategies
• Search Engine Journal: Performance Max
• Neil Patel: Performance Max Tips
• Sprout Social: Performance Max Insights
• Shopify Blog: Performance Max for Ecommerce

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🔗 Rafirit Station Services

• Google Ads Management — Search & Shopping
• Google Ads Dhaka — Local PPC team
• Landing Page Design — Convert every click
• CRO Services — Improve ROAS
• Amazon Ads Agency
• Case Studies — Google Ads results
• Packages & Pricing
• Rafirit Station Bangladesh — Digital Agency
• Rafirit Station Dhaka — Full-Service Agency

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Phase 1: Data Foundation — Clean Signals Start Here

Before you even touch audience segments, you need a solid data foundation. Performance Max uses signals to guide automated learning; if the underlying data is messy, the signals will be misleading. This phase typically takes 1-2 weeks but yields the highest long-term impact.

Tactic 1.1: Audience Segmentation from CRM

Why this works: Your CRM holds the most valuable data — past purchasers, high-value customers, and churned users. Segmenting this data allows you to create custom audiences that Google can match to users.

Exactly how to do it:

1. Export customer list from CRM with at least 1,000 emails or phone numbers (Google requires minimum 100 for some segments, but 1,000+ improves match rates).
2. Segment into groups: high-value (purchased >2 times), recent purchasers (last 30 days), lapsed purchasers (90+ days), cart abandoners, and prospects.
3. Upload each list to Google Ads under Audience Manager > Customer Match. Choose the appropriate match type (email, phone, etc.).
4. Wait 24-48 hours for matching to complete; check match rates (aim for 70%+).
5. Add these customer match segments as audience signals in your Performance Max campaign’s asset group settings.

Pro script / template: “Upload a CSV with columns ‘Email’ and ‘Segment’. In Google Ads, create separate customer match lists for ‘High Value – 2+ Purchases’, ‘Recent Buyers – 30 Days’, ‘Cart Abandoners – 7 Days’. Then in Performance Max asset group, select these under ‘Your Data’.”

📊 Expected results: Companies see 20-50% improvement in conversion rate within 4 weeks when using first-party audience signals. For a Dhaka store with 5,000 email subscribers, we saw a 32% reduction in CPA.

Tactic 1.2: First-Party Data Integration

Why this works: First-party data like website behavior and app interactions are privacy-safe and highly relevant. Google’s Enhanced Conversions can help fill gaps.

Exactly how to do it:

1. Implement Google Tag (gtag) or Google Tag Manager with conversion tracking and remarketing tags on all pages.
2. Set up Enhanced Conversions via Google Ads (conversions > settings > enhanced conversions) to use first-party data (email) for better attribution.
3. Create website visitor audience segments: All Visitors, Product Viewers, Add-to-Cart, Past Purchasers (if not in CRM).
4. Ensure data retention is set to 540 days (maximum allowed) to maximize audience pool.
5. Add these segments as audience signals.

Pro script / template: “In Google Ads Audience Manager: ‘Website visitors > All visitors’ (540 days), ‘Visitors with add to cart > 30 days’. Then in Performance Max asset group, add these under ‘Observations’ first to measure performance before switching to ‘Targeting’.”

📊 Expected results: Enhanced Conversions uplift reported conversions by 10-30% and improve signal accuracy. For one client, we saw a 15% increase in reported revenue.

Tactic 1.3: Audience Exclusion Setup

Why this works: Excluding irrelevant audiences prevents waste and helps Google’s algorithm focus on high-potential users.

Exactly how to do it:

1. Identify negative audiences: competitors’ customers, existing customers if you’re running acquisition campaigns, converted users within last 30 days.
2. Create exclusion lists in Audience Manager: e.g., ‘Existing Customers (last 90 days)’, ‘Competitor Brands’ (for competitor targeting).
3. Apply exclusions at the campaign level under Settings > Exclusions.
4. For Performance Max, you can exclude audiences by adding negative audience segments in the campaign settings.
5. Regularly update exclusions based on performance data (monthly review).

Pro script / template: “Add as exclusion: ‘Your list: Purchasers last 90 days’ to avoid showing ads to recent buyers if your goal is new customers. Also add ‘In-market: Shopping > Coupon & Discount’ if you don’t want bargain hunters.”

📊 Expected results: Reducing wasted clicks by excluding irrelevant audiences can improve ROAS by 20-40% within 2 weeks. We saved a Dhaka electronics store ৳45,000 per month by excluding existing customer base.

Tactic 1.4: Customer Match List Hygiene

Why this works: Stale or invalid email addresses reduce match rates and hurt performance. Regular cleaning improves signal quality.

Exactly how to do it:

1. Remove hard bounces from email lists before upload.
2. Segment by recency: use only contacts active within last 12 months for highest match rates.
3. Use Google’s Customer Match list refresh: re-upload lists every 30 days to keep data fresh.
4. Check match rate reports in Audience Manager; if below 60%, clean and re-upload.
5. Combine multiple sources (email, phone, mailing address) for higher match rates.

Pro script / template: “Before upload: run list through email validator (e.g., ZeroBounce) to remove invalid addresses. Create a ‘Master Customer List’ with last purchase date column, then filter to ‘Date > 180 days ago’ for active audience.”

📊 Expected results: Clean lists yield match rates of 75-85% vs 40-50% for dirty lists. Higher match rates mean more users reached and better signal strength.

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Phase 2: Audience Signal Selection — Choosing the Right Segments

Once data is clean, the next phase is selecting which audience signals to feed into Performance Max. The key is to provide strong signals without over-constraining the algorithm. Use a mix of your own data and Google’s segments.

Tactic 2.1: Custom Segments Based on Intent

Why this works: Custom segments allow you to target users based on specific interests, behaviors, or search terms. This gives Performance Max strong intent signals.

Exactly how to do it:

1. Go to Audience Manager > Custom Segments.
2. Create custom segments using keywords or URLs: e.g., ‘Best budget smartphones Dhaka’ or ‘buy sari online’ (for fashion).
3. Use Google’s recommended keywords from Keyword Planner as inspiration.
4. Add custom segments as ‘Targeting’ (not just observations) in Performance Max asset group.
5. Start with 3-5 custom segments per campaign, then expand based on performance.

Pro script / template: “For a Dhaka fashion store: Custom segment with keywords: ‘designer salwar kameez’, ‘modest fashion Dhaka’, ‘online clothing store Bangladesh’, ‘eid collection 2026’. Add related URLs: ‘popular-fashion-blog.com’, ‘style-guide.com’.”

📊 Expected results: Custom segments can improve click-through rate by 15-30% and conversion rate by 20-50% compared to no signals. In our tests, they lowered CPA by 25% for a local brand.

Tactic 2.2: Combining In-Market & Affinity Audiences

Why this works: In-market audiences capture users actively researching, while affinity audiences target long-term interest. Combining them covers both immediate and future intent.

Exactly how to do it:

1. In Audience Manager, select Google’s pre-built audiences.
2. Choose relevant in-market segments: e.g., ‘Clothing’, ‘Mobile Phones’, ‘Travel’, etc.
3. Choose relevant affinity segments: e.g., ‘Fashionistas’, ‘Tech Enthusiasts’, ‘Travel Buffs’.
4. Add one in-market and one affinity segment as signals per asset group.
5. Monitor which combination yields best performance; use campaign experiments to test.

Pro script / template: “For a budget phone brand: In-market ‘Consumer Electronics’ + Affinity ‘Tech Enthusiasts’ (for targeting). For a luxury fashion: In-market ‘Apparel & Accessories’ + Affinity ‘Fashionistas’.”

📊 Expected results: This combination often yields 30-60% higher conversion rates than single audience signals. A Dhaka electronics retailer saw 2x ROAS improvement.

Tactic 2.3: Using Your Data Segments (First-Party)

Why this works: Your own audience data (from Phase 1) is the most accurate signal because it reflects known behavior.

Exactly how to do it:

1. From Phase 1, you have CRM segments and website visitor segments.
2. Add the most relevant data segment(s) as targeting signals in the asset group.
3. Start with ‘observation’ to gather data, then switch to ‘targeting’ after 2 weeks.
4. Prioritize segments with >1,000 users for statistical significance.
5. Refresh data segments every 30 days to keep them active.

Pro script / template: “For a high-value customer segment: use ‘High Value – 2+ Purchases’ as targeting signal. For cart abandoners: use ‘Cart Abandoners – 7 Days’ as a stronger intent signal.”

📊 Expected results: First-party segments typically outperform Google segments by 2-3x on conversion rate. One client achieved 4.2% conversion rate using their data vs 1.8% with Google segments alone.

Tactic 2.4: Testing Similar Audiences

Why this works: Similar audiences help you find new users similar to your best converters, scaling your reach while maintaining relevance.

Exactly how to do it:

1. Create a seed audience of high-value customers (e.g., top 5% by lifetime value).
2. In Audience Manager, find the ‘Similar’ option (note: this is being deprecated in 2026 but still available for some accounts). Use ‘Custom Audiences’ with lookalike modeling via Google’s optimized targeting as alternative.
3. Add similar audience as targeting signal.
4. Monitor performance weekly; if similar audience underperforms, pause and refine seed.
5. Test different seed sizes (1,000 vs 10,000) to see which yields best results.

Pro script / template: “Seed audience: High value customers from last 180 days (min 1,000). Create a custom audience targeting similar users. Add as signal with budget allocation 20% of campaign spend.”

📊 Expected results: Similar audiences can increase reach by 30-50% without sacrificing conversion rate, provided seed quality is high. We saw a 35% boost in conversions at same CPA.

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Phase 3: Asset & Creative Alignment for Signal Strength

Audience signals only work if your ad assets speak directly to those audiences. Phase 3 aligns your creatives with the signals you’ve set, ensuring a cohesive user experience that boosts quality score and conversions.

Tactic 3.1: Responsive Search Ads with Audience Hints

Why this works: RSA headlines and descriptions that match audience intent improve click-through rates and conversion quality.

Exactly how to do it:

1. Create at least 5-10 ad headlines and 3-5 descriptions per asset group.
2. Use audience-specific messaging: e.g., for ‘In-market: Clothing’ use headlines like ‘New Arrivals: Dhaka Fashion 2026’ or ‘20% Off Bangladeshi Designer Wear’.
3. Pin certain headlines to positions (e.g., pin headline including city name to position 1).
4. Test different CTAs (‘Shop Now’ vs ‘Get Offer’ vs ‘Free Delivery’) for different signals.
5. Use Google’s automated asset creation options, but manually add audience-specific text.

Pro script / template: “For a signal targeting ‘Fashionistas’ + ‘In-market Apparel’: Headlines: ‘Trendy Salwar Kameez | Free Shipping Dhaka’, ‘Designer Eid Collection 2026 | Order Now’, ‘Exclusive 30% Off for New Customers’. Descriptions: ‘Shop the latest fashion trends from top Bangladeshi brands. Fast delivery across Dhaka.'”

📊 Expected results: Aligned RSA copy can improve CTR by 40-60% and conversion rate by 20-30%. In a test, a client saw 55% higher CTR with audience-specific headlines.

Tactic 3.2: Video Assets for Specific Signals

Why this works: Performance Max heavily utilizes YouTube; video assets tailored to audience segments drive higher view-through rates.

Exactly how to do it:

1. Create short video assets (15-30 seconds) for each major audience segment.
2. For ‘Tech Enthusiasts’, focus on product features and specs; for ‘Fashionistas’, show lifestyle shots.
3. Add text overlays highlighting Dhaka-specific offers (e.g., ‘Free Delivery in Dhaka City’).
4. Upload at least 3-5 video assets per asset group (Google recommends 5+).
5. Use YouTube’s audience insights to refine video creative.

Pro script / template: “For a budget smartphone: Video showing phone features with text ‘সেরা দামে স্মার্টফোন ঢাকায়’ (Best price smartphone in Dhaka). Add a strong CTA: ‘এখনই অর্ডার করুন’ (Order Now).”

📊 Expected results: Targeted video assets can increase view rate by 2-3x and brand recall by 40%. One campaign saw 70% higher view-through rate with localized videos.

Tactic 3.3: Landing Page Personalization

Why this works: Sending users from Performance Max to pages that match the audience signal improves conversion rates and quality score.

Exactly how to do it:

1. Create separate landing pages for different audience signals (if scale allows).
2. For ‘Cart Abandoners’, link to a page with the last viewed products and a discount code.
3. For ‘High-value customers’, link to a VIP page with exclusive products.
4. Use dynamic keyword insertion on landing pages to match the signal intent.
5. Ensure mobile optimization; most Dhaka users browse on mobile.

Pro script / template: “If you have a custom audience segment ‘Fashion Lovers from Gulshan’, send them to a landing page featuring ‘Gulshan Collection’ with addresses nearby. Use URL parameter like ?utm_source=pmax&segment=gulshan.”

📊 Expected results: Personalized landing pages can lift conversion rates by 50-100%. A Dhaka real estate client saw 80% more leads when using signal-specific pages.

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Phase 4: Monitoring, Optimization & Scale

Audience signals are not set-it-and-forget-it. Performance Max requires ongoing attention to ensure signals remain effective as machine learning models adjust. This phase ensures you maintain and improve results over time.

Tactic 4.1: Audience Performance Reporting

Why this works: Google doesn’t show traditional audience performance reports for Performance Max, but workarounds exist. You need to attribute conversions to signals.

Exactly how to do it:

1. Use Google Ads’ ‘Asset groups’ report to see performance by asset group (each with different signals).
2. Set up conversion tracking with audience dimension (via Google Analytics 4).
3. Create custom labels for each asset group to track which signals are used.
4. Export campaign data weekly and compare ROAS across asset groups.
5. Use the ‘Audiences’ tab under ‘Campaigns’ to view impression share and cost per conversion by audience segment (limited but available).

Pro script / template: “Create an asset group naming convention: ‘AG_Fashion_Inmarket_Affinity’. In GA4, set up a custom event parameter ‘audience_signal’ to see which signals drive conversions. Monitor weekly and pause underperforming signals after 14 days.”

📊 Expected results: Regular reporting catches underperformers quickly. Our team identifies 20-30% improvement opportunities monthly through signal analysis.

Tactic 4.2: Bid Adjustment via Signals

Why this works: Performance Max uses target CPA or ROAS, but you can indirectly adjust bids by segmenting signals and allocating budget to best performers.

Exactly how to do it:

1. Review asset group performance weekly; identify top 3 performing signals.
2. Increase budget allocation for asset groups using those signals by 10-15%.
3. If a signal consistently underperforms, remove it and test a new one.
4. Use Google’s ‘Budget’ report to see spend per asset group.
5. Set up a script or rule (e.g., if ROAS drops below target for 3 days, pause asset group).

Pro script / template: “Create a monthly spreadsheet: Asset Group / Signals / Spend / CPA / ROAS. For top 3 asset groups, increase budget by 10% each week. For bottom 3, reduce by 15% or pause.”

📊 Expected results: Dynamic budget allocation based on signal performance improves overall ROAS by 15-30% within 30 days.

Tactic 4.3: Scaling Winning Signals

Why this works: Once you identify effective signals, scale them by creating new asset groups with similar signals or expanding to new geos.

Exactly how to do it:

1. For top-performing signals, create additional asset groups with same signals but different ad copy.
2. Test signal combinations: e.g., add a second in-market segment to an existing high-performing asset group.
3. Expand similar signals to other products or services.
4. If a custom segment works well, create a similar new segment with different keywords.
5. Scale budget by 20% weekly for winning asset groups, up to a limit.

Pro script / template: “If ‘In-market: Consumer Electronics’ + ‘Affinity: Tech Enthusiasts’ performs well for phones, create a new asset group for laptops using same signals. Test with 20% of original budget.”

📊 Expected results: Scaling winning signals can increase total revenue by 50-100% while maintaining or improving ROAS. One client doubled spend while maintaining 3x ROAS.

Tactic 4.4: Experimentation with Asset Groups

Why this works: Performance Max campaigns can host multiple asset groups, allowing controlled experiments to refine signals.

Exactly how to do it:

1. Create two asset groups with identical creatives but different audience signals.
2. Set the campaign to optimize for overall ROAS; asset groups will compete.
3. After 2-3 weeks, compare performance; winner becomes primary.
4. Iterate: change one signal at a time in the losing asset group and re-test.
5. Use Google’s ‘Draft & Experiment’ feature for campaign-level tests (though limited for Performance Max).

Pro script / template: “Test A: Asset Group with ‘Custom segment: budget phones’ + ‘In-market: Consumer Electronics’. Test B: Asset Group with ‘Data segment: past purchasers’ + ‘Affinity: Tech Enthusiasts’. Track conversions and ROAS for 21 days.”

📊 Expected results: A/B testing can improve overall campaign performance by 20-40% in 1-2 months. We find that 1 in 4 experiments yields a significant winner.

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🏆 Real Case Study: How a Dhaka-Based Fashion Retailer Achieved 3.2x ROAS in 60 Days

Background: A mid-sized fashion retailer in Dhaka’s Gulshan area was struggling with Performance Max. They were spending ৳5,00,000 per month with a ROAS of just 1.1 — barely breaking even. They had no audience signals set; they let Google’s automated targeting run wild.

Before numbers (average monthly):

• Ad spend: ৳5,00,000
• Revenue: ৳5,50,000 (ROAS 1.1)
• CPA: ৳1,200
• CTR: 1.2%
• Conversion rate: 0.8%

Our Exact Strategy (implemented over 2 weeks):

1. Data Foundation: Exported CRM of 12,000 email addresses, segmented into ‘Top Spenders (>2 purchases)’, ‘Recent Buyers (30 days)’, ‘Lapsed (90+ days)’, and ‘Cart Abandoners’. Uploaded as customer match lists.
2. Signal Selection: Added custom segments for ‘Bangladeshi fashion’, ‘ead collection 2026’, ‘discount salwar kameez’. Combined with in-market ‘Apparel & Accessories’ and affinity ‘Fashionistas’. Used data segments as targeting.
3. Asset Alignment: Created responsive search ads with audience-specific headlines: ‘New Eid Collection 2026 | Free Shipping Dhaka’, ‘20% Off Designer Wear | Order Now’. Video assets showed product being unpacked with Dhaka skyline.
4. Landing Pages: Built a dedicated page for each audience: ‘Fashion Lovers’ landing page with influencer images, ‘Budget Seekers’ with price comparisons.
5. Exclusions: Added negative audience ‘Existing Customers (last 30 days)’ for prospecting, and excluded irrelevant in-market segments like ‘Business Services’.
6. Monitoring: Set up weekly reviews of asset group performance, shifted budget to best performers every 7 days.
7. Optimization: After 4 weeks, removed underperforming signals (e.g., affinity ‘Food & Drink’ which was irrelevant). Focused budget on top 3 asset groups.

After results (month 2):

• Ad spend: ৳5,00,000
• Revenue: ৳16,00,000 (ROAS 3.2)
• CPA: ৳450 (62.5% reduction)
• CTR: 3.8%
• Conversion rate: 2.7%
• Secondary metrics: Click-through rate on video ads increased 4x; brand search volume grew 30%.

Client quote: “We were about to pause Performance Max because of losses. Rafirit Station’s audience signal strategy turned it into our highest ROI channel. We’ve now increased budget to ৳10,00,000 per month.” — Mr. Rahman, Owner

See more Rafirit Station case studies →

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✅ Performance Max Audience Signals Checklist

Status	Task
✅	Export CRM segments (email/phone)
✅	Upload customer match lists (min 1,000)
✅	Set up Enhanced Conversions
✅	Create website visitor audiences (all visitors, add-to-cart, purchasers)
✅	Add exclusion lists (existing customers, irrelevant in-market)
✅	Create custom segments with keywords/URLs (3-5)
✅	Add in-market and affinity segments (1 each per asset group)
⚠️	Test similar audiences (if available) with top seed
✅	Write RSA headlines for each audience signal (5-10 per asset group)
✅	Create video assets (15-30 sec) with audience-specific message
⚠️	Personalize landing pages per audience segment
✅	Set up weekly performance monitoring by asset group
✅	Adjust budget allocation based on signal performance (weekly)
✅	Run A/B tests with different signal combinations
✅	Refresh data segments every 30 days

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❓ Frequently Asked Questions

Q: What exactly are audience signals in Performance Max?

Audience signals are optional hints you provide to Google’s automated system to help it find users more likely to convert. They are not hard targeting; Google will show ads beyond those segments if predicted performance is high. In 2026, using signals is critical because Google’s algorithms have become more ‘privacy-first’ and need strong first-party signals. According to Google, campaigns with audience signals see a 38% higher conversion rate on average.

Q: How many audience signals should I add to an asset group?

Google recommends 3-5 audience signals per asset group. Adding too many can be redundant and reduce the algorithm’s flexibility. Start with one data segment (e.g., past purchasers), one custom segment (keyword-based), one in-market, and one affinity. Monitor and refine. More is not necessarily better.

Q: Should I use ‘Observation’ or ‘Targeting’ for audience signals?

Start with ‘Observation’ to gather data on how Google utilizes the signal. After 2-3 weeks, if the signal shows strong performance (e.g., high conversion rate), switch to ‘Targeting’ to give it more weight. ‘Observation’ tells Google ‘consider this audience’ while ‘Targeting’ says ‘prioritize this audience’. In Performance Max, you can’t fully restrict to a signal, but targeting increases its influence.

Q: Can I use audience signals for B2B Performance Max campaigns?

Yes, but B2B campaigns require more tailored signals. Use customer match based on business emails, custom segments with industry-specific keywords (e.g., ‘office software Dhaka’), and in-market segments like ‘Business Services’. Also consider affinity for ‘Business Professionals’. The same principles apply — first-party data is most effective.

Q: How often should I update audience signals?

Refresh data segments (customer match, website audiences) every 30 days to keep them active and accurate. Custom segments (keyword-based) can be updated quarterly based on performance. In-market and affinity segments are pre-built by Google and don’t need updating, but you may add new ones as you expand. Continuous optimization (weekly to monthly) is expected.

Q: What if my Performance Max campaign has no audience signals?

Without audience signals, the campaign relies entirely on Google’s generic signals (e.g., browsing behavior, search queries). This often leads to wasted spend on irrelevant clicks. We’ve seen campaigns without signals have CPAs 40-60% higher than those with strong signals. Adding even a basic first-party list can improve performance.

Q: Does Rafirit Station offer Performance Max audience signal services?

Yes! Our Dhaka team specializes in Google Ads management, including Performance Max optimization. We provide end-to-end service: audit, strategy, implementation, and ongoing management. Contact our Dhaka office for a custom quote.

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🎯 The Bottom Line

Audience signals are the most underutilized lever in Performance Max campaigns. While many advertisers treat every campaign the same, the real opportunity lies in treating signals as dynamic data streams that feed Google’s AI. The counterintuitive insight? You don’t need to provide more data — you need to provide better data. A clean segment of 1,000 high-value customers will beat a messy list of 100,000 random emails every time.

Start small — one asset group with one strong signal. Prove the concept, then scale. The difference between a 1.1 ROAS and a 3.2 ROAS is not more budget; it’s smarter signals. Our Dhaka clients consistently see 2-3x improvements within 60 days when they commit to this structured approach.

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⚡ Your Next Step (Do This Today)

1. Export your top 1,000 customers from your CRM (email addresses) and upload as a customer match list in Audience Manager.
2. Add that list as a targeting signal in your existing Performance Max campaign’s asset group.
3. Create one custom segment with 5-10 keywords related to your best-selling product (use Google Keyword Planner).
4. Review your current asset group and ensure you have at least 5 headlines and 3 descriptions that match the signals you’ll use.
5. Set a calendar reminder to review performance in 7 days. If ROAS improves by 20%+ compared to last month, start scaling.

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💬 Drop “Audience Signals” in the comments and we’ll send you our free Performance Max audience signals checklist — no email required.