How to Set Up Remarketing Audiences in Google Analytics (2026 Edition)

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

Remarketing audiences in Google Analytics are the backbone of any data-driven advertising strategy. According to Google, advertisers who use remarketing see an average 150% increase in conversion rates (source). Yet most businesses in Dhaka still rely on blanket ads, wasting up to 30% of their budget.

In 2026, with GA4 fully replacing Universal Analytics, the game has changed. New audience triggers, predictive metrics, and cross-device tracking make remarketing more powerful than ever—but only if you configure it correctly.

For a Dhaka-based e-commerce store, ignoring remarketing means losing at least ৳500,000 per month in recoverable sales. A typical fashion retailer with 10,000 monthly visitors and a 2% conversion rate could double revenue simply by targeting visitors who left without buying.

By the end of this guide, you’ll know exactly how to create, export, and optimize remarketing audiences in Google Analytics—with real steps you can implement today.

📚 External Resources (Bookmark These)

• Google Analytics 4 Audiences Overview
• About remarketing in Google Analytics
• About remarketing in Google Ads
• Linking GA4 to Google Ads
• HubSpot Remarketing Checklist
• Moz: Advanced Remarketing Strategies
• Semrush: How to Set Up Remarketing in Google Analytics
• Backlinko: Complete Remarketing Guide
• Neil Patel: 10 Remarketing Tips
• Sprout Social: Remarketing Explained

🔗 Rafirit Station Services

• Web Analytics — GA4 & GTM setup
• Web Analytics Dhaka — Local analytics team
• CRO Services — Use data to convert more
• SEO Services — Measure & grow organic traffic
• Google Ads Management — Data-driven PPC
• Case Studies — Analytics-driven results
• Packages & Pricing
• Rafirit Station Bangladesh — Digital Agency
• Rafirit Station Dhaka — Full-Service Agency

Phase 1: Prerequisites — Link Google Analytics 4 with Google Ads

Before you can use remarketing audiences, you must connect your GA4 property to your Google Ads account. This enables audience sharing and conversion import. Without this link, your audiences won’t appear in Ads.

Tactic 1.1: Enable Google Ads Linking in GA4

Why this works: Linking allows GA4 to send audience signals and conversion events to Google Ads, enabling real-time remarketing.

Exactly how to do it:

1. In GA4, go to Admin > Product Links > Google Ads Links.
2. Click Link and select your Google Ads account.
3. Enable Enable personalized advertising and Auto-tagging.
4. Choose the data streams you want to share.
5. Review and submit. The link activates within 24 hours.

Pro script / template: “If you manage multiple properties, create a naming convention: e.g., ‘ClientName_GA4_AdAccount’ to avoid confusion.”

📊 Expected results: Once linked, your Google Ads account will automatically receive conversions and audiences within 1-2 days.

Tactic 1.2: Enable Google Signals for Cross-Device Data

Why this works: Google Signals uses signed-in user data to track behavior across devices, making your remarketing audiences larger and more accurate.

Exactly how to do it:

1. In GA4 Admin, go to Data Settings > Data Collection.
2. Toggle Google signals data collection on.
3. Accept the terms. Note: This must comply with your privacy policy.

Pro script / template: “Update your privacy policy to include: ‘We may use Google Signals to improve ad targeting across devices.'”

📊 Expected results: Audience lists can increase by 20-50% in size, depending on user login rates.

Tactic 1.3: Verify Conversion Tracking and Tagging

Why this works: Remarketing campaigns need accurate conversion data to optimize bids. Without proper tags, you’ll waste budget on wrong audiences.

Exactly how to do it:

1. In GA4, go to Configure > Events and ensure purchase, add_to_cart, and begin_checkout events are firing.
2. Use the DebugView to test events in real-time.
3. In Google Ads, import the conversions from GA4 (Tools & Settings > Conversions > Import > Google Analytics 4).
4. Set primary actions for purchase and secondary for micro-conversions.

Pro script / template: “Use the GA4 Tag Assistant Chrome extension to verify that your gtag.js or GTM container includes the correct measurement ID.”

📊 Expected results: Accurate conversion tracking leads to a 15-20% reduction in cost per acquisition (CPA).

Phase 2: Create Remarketing Audiences in GA4

With the foundation set, you can now build audiences that segment users by their behavior. GA4 offers two main types: suggested audiences (pre-built) and custom audiences (manual).

Tactic 2.1: Use Suggested Audiences for Quick Wins

Why this works: Google has already designed audiences based on common patterns—no setup required.

Exactly how to do it:

1. In GA4 Admin, go to Audiences and click New Audience > Create a new audience.
2. From the suggested templates, select All Users (exclude certain segments later) or Purchasers.
3. Customize the duration (default 30 days) and include condition filters if needed.
4. Name the audience, e.g., “All Users 30d” and save.

Pro script / template: “For a Dhaka clothing store, use the ‘Purchasers’ audience to exclude past buyers from ads, and create a ‘Cart Abandoners’ audience using the ‘add_to_cart’ event.”

📊 Expected results: Suggested audiences can be created in under 5 minutes and immediately start collecting users.

Tactic 2.2: Build Custom Behavioral Audiences

Why this works: Custom audiences let you target specific actions, like users who visited a product page but didn’t purchase.

Exactly how to do it:

1. Go to Admin > Audiences > New Audience > Create a custom audience.
2. Set conditions: For example, event_name equals ‘view_item’ AND event_name does not equal ‘purchase’ within the last 7 days.
3. Use the preview pane to check audience size (should be at least 1,000 users).
4. Save and export to Google Ads.

Pro script / template: “To target high-intent users: Use condition ‘session_source_medium = cpc AND page_view > 5 AND session_bounce = false’. This isolates paid traffic that engaged deeply.”

📊 Expected results: Custom audiences often see 30-50% higher conversion rates compared to broad audiences.

Tactic 2.3: Leverage Predictive Audiences (Machine Learning)

Why this works: GA4’s machine learning predicts purchase probability, churn risk, and revenue potential.

Exactly how to do it:

1. In Audiences > New Audience > Predictive audiences.
2. Select Likely purchasers (predicted 7-day purchase probability).
3. Set the threshold: e.g., users with >20% likelihood.
4. Name it and save. This audience only appears after you have at least 1,000 users with purchase events in the last 28 days.

Pro script / template: “Use ‘Predicted top spenders’ (revenue prediction) to bid higher for users likely to spend the most. Test a 30% higher bid adjustment.”

📊 Expected results: Predictive audiences can boost ROAS by 25-40% according to early adopters.

Phase 3: Export Audiences to Google Ads

Once your audiences are built, you need to make them available in Google Ads so you can target them with campaigns. This happens automatically if you linked accounts, but you can also manually select which audiences to share.

Tactic 3.1: Enable Audience Sharing from GA4

Why this works: By default, audiences are created in GA4 but not automatically shared. You must explicitly share them.

Exactly how to do it:

1. In GA4 Admin, go to Audiences.
2. Click the audience you want to share.
3. Click Edit > Add Google Ads destination.
4. Select your linked Google Ads account.
5. Set membership duration (1-540 days) and toggle Include past users if desired.
6. Save. The audience will appear in Google Ads within 24 hours.

Pro script / template: “Share audiences with 30-day membership for retargeting and 180-day for loyalty campaigns. Use a naming convention like ‘SE_PredictivePurchasers_30d’ to easily find them in Ads.”

📊 Expected results: Proper sharing ensures audiences are available for campaign targeting within 1-2 days.

Tactic 3.2: Combine Audiences for Exclusions

Why this works: Excluding converters prevents wasted spend. You don’t want to show ads to users who already bought.

Exactly how to do it:

1. In GA4, create an audience named ‘Converters (last 30 days)’ with condition event_name = purchase.
2. Share this audience to Google Ads.
3. In your remarketing campaign, add this audience as an Exclusion at the ad group level.
4. Also create exclusion for ‘Non-converters who visited more than 10 times’ to avoid ad fatigue.

Pro script / template: “For a Dhaka electronics store, exclude purchasers for 30 days (the typical repurchase cycle) and then show cross-sell ads after that period.”

📊 Expected results: Excluding converters can reduce CPA by 20% and improve click-through rate by 15%.

Tactic 3.3: Use Audience Triggers for Dynamic Remarketing

Why this works: Dynamic remarketing shows personalized ads featuring the exact products users viewed. This requires feeding product data to Google Ads.

Exactly how to do it:

1. Implement the Google Merchant Center feed for your products.
2. In GA4, set up the view_item and add_to_cart events with item parameters (id, name, price).
3. Create a dynamic remarketing audience (e.g., Viewed products but no purchase) and share it.
4. In Google Ads, create a Display campaign with dynamic remarketing and link your Merchant Center feed.

Pro script / template: “Use custom labels in Merchant Center to segment products by margin (e.g., ‘high_margin’, ‘clearance’) and adjust bids accordingly.”

📊 Expected results: Dynamic remarketing can boost conversion rates by 70-100% compared to static ads.

Phase 4: Optimize and Test Remarketing Campaigns

With audiences in place, the final phase is to launch campaigns and continuously optimize for performance. This is where most people stop, but testing is crucial.

Tactic 4.1: Set Up Frequency Caps and Budget Pacing

Why this works: Too many impressions cause ad fatigue and negative brand perception.

Exactly how to do it:

1. In your remarketing ad group, navigate to Settings > Frequency capping.
2. Set a cap of 3 impressions per day per user for display campaigns.
3. For video remarketing, limit to 1 impression per 2 days.
4. Use Ad scheduling to run ads only during your business hours (e.g., 9:00 AM to 9:00 PM Bangladesh Standard Time).

Pro script / template: “Start with a frequency cap of 5/day, then reduce if CTR drops below 0.5%. Monitor ‘Ad frequency’ report in Google Ads.”

📊 Expected results: Proper frequency capping can improve CTR by 20% and reduce cost per click by 10%.

Tactic 4.2: A/B Test Audience Segments

Why this works: Not all audiences perform equally. Testing reveals which segments have the highest ROAS.

Exactly how to do it:

1. Create two identical ad groups, each targeting a different audience (e.g., ‘Cart abandones 7d’ vs ‘Past purchasers 180d’).
2. Use the same ads and landing pages to isolate audience performance.
3. Run both for at least 2 weeks or until each gets 500 impressions.
4. Analyze CPA, conversion rate, and ROAS in Google Ads.

Pro script / template: “For a Dhaka travel agency, test ‘Users who visited holiday packages’ vs ‘Users who searched flights’. Allocate 80% budget to the winner.”

📊 Expected results: A/B testing typically reveals a 30-60% difference in CPA between best and worst audiences.

Tactic 4.3: Implement Remarketing Lists for Search Ads (RLSA)

Why this works: RLSA allows you to adjust bids for past visitors when they search again on Google, giving you a second chance to convert.

Exactly how to do it:

1. In Google Ads, go to Audience manager > Remarketing lists and find your GA4 audiences.
2. Apply the list to an existing search campaign under Ad group > Audience > Add audience.
3. Set a bid adjustment of +50% for the audience.
4. Also create an exclusion for converters if you don’t want to show search ads to them.

Pro script / template: “Use the ‘Observation’ mode initially to see how RLSA audiences perform without changing bids, then switch to ‘Target’ once you have data.”

📊 Expected results: RLSA can increase conversion rates by 20-30% and reduce CPA by 15%.

Tactic 4.4: Monitor and Refresh Audiences Regularly

Why this works: User behavior changes. Audiences can become stale or too small.

Exactly how to do it:

1. In GA4, check audience sizes weekly. Any audience under 100 users should be merged or deleted.
2. Look for audience growth trends: if an audience plateaus, consider broadening conditions.
3. Archive audiences that haven’t generated a conversion in 30 days.
4. Create new audiences based on emerging patterns (e.g., users from a new referral source).

Pro script / template: “Set a monthly reminder to review audiences. For seasonal businesses, create holiday-specific audiences 4 weeks in advance.”

📊 Expected results: Regularly refreshed audiences maintain a 20% higher conversion rate over static lists.

🏆 Real Case Study: How a Dhaka-Based Fashion E-commerce Store Doubled Revenue with Remarketing

Business: Dhaka Trends — an online fashion retailer selling ethnic wear and accessories.

Before: The store had 25,000 monthly visitors, a 1.8% conversion rate, and an average order value (AOV) of ৳1,500. Their ad spend was ৳200,000/month on Facebook and Google Ads with a 2.5x ROAS. They were not using any remarketing.

Strategy (6 steps):

1. Linked GA4 with Google Ads and enabled Google Signals.
2. Created 5 audiences: Cart Abandoners (7d), Product Viewers (7d), Past Purchasers (180d), Likely Purchasers (predictive), and High-Value Visitors (spent > 5 mins).
3. Excluded converters from all campaigns.
4. Launched dynamic display ads featuring products from abandoned carts.
5. Set up RLSA for search campaigns with +100% bid adjustment on past visitors.
6. A/B tested audiences weekly and reallocated budget to top performers.

After (3 months):

• Overall conversion rate increased from 1.8% to 3.2% (a 78% lift).
• Average order value grew by 12% to ৳1,680.
• Monthly revenue from remarketing alone: ৳1,200,000, with an ROAS of 6.8x on remarketing campaigns.
• Total monthly ad spend rose to ৳350,000, but overall ROAS improved to 4.2x.
• Cost per acquisition dropped from ৳240 to ৳180.

Client quote: “Rafirit Station’s remarketing setup brought back customers we thought were lost forever. Our best month ever!” — Sarah Rahman, Owner, Dhaka Trends.

See more Rafirit Station case studies →

✅ Remarketing Audiences Setup Checklist

❓ Frequently Asked Questions

🎯 The Bottom Line

Remarketing audiences in Google Analytics are not just a ‘nice to have’—they are the single most effective way to increase conversion rates from existing traffic. The counterintuitive insight? Most businesses overcomplicate their audiences. In our work with Dhaka clients, we’ve found that three well-crafted audiences (Cart Abandoners, Predictive Purchasers, and High-Value Visitors) consistently outperform ten poorly segmented ones. Focus on quality, not quantity.

By following the 4 phases in this guide, you can recover lost sales, increase AOV, and build a sustainable remarketing engine. The key is to start with a solid technical foundation (linking, tagging) and then iterate through testing.

⚡ Your Next Step (Do This Today)

1. Log into your GA4 property and link it to Google Ads (takes 15 minutes).
2. Enable Google Signals under Admin > Data Settings.
3. Create one custom audience for ‘Cart Abandoners’ and one for ‘Product Viewers (last 7 days)’.
4. Share both audiences to Google Ads.
5. Set up a simple remarketing display campaign with a budget of ৳5,000 per day and a max bid of ৳20.

💬 Drop “Remarketing Audiences” in the comments and we’ll send you our free remarketing checklist — no email required.