Retargeting and Remarketing

Quick answer / Definition

Retargeting and remarketing are tactics that re-engage people who have already visited your store, added items to cart, or otherwise interacted with your brand. Retargeting usually refers to ad-based approaches (pixel or tag-based displays on other sites/apps); remarketing often refers to re-contacting via email, SMS, or CRM lists — but in practice the terms are used interchangeably. They measure engagement and conversion lift from audiences you already reached and are commonly used in ecommerce to recover abandoned carts, boost repeat purchases, and improve overall marketing efficiency.

Why it matters

• Revenue recovery: Captures potential orders from visitors who left without buying (cart abandoners, product viewers).
• Higher conversion rates: Audiences already showed purchase intent, so conversion rates are typically higher than prospecting campaigns.
• Lower incremental acquisition cost: Retargeted audiences often cost less per conversion than acquiring new customers, improving ROAS.
• Better customer experience: Timely, relevant reminders (e.g., cart reminders, back-in-stock) reduce friction and increase satisfaction.
• Improved decision-making: Enables publishers to segment users by behavior (product viewed, time since visit) and measure lift from targeted creatives.

What is Retargeting and Remarketing?

At its core, retargeting and remarketing is the practice of identifying users who previously engaged with your site, ads, or communications and delivering follow-up messages designed to bring them back to complete a purchase or other conversion.

Key distinctions and components:

• Pixel-based retargeting: A tracking pixel or tag (from an ad platform like Meta or Google) records a visitor and allows you to show display or social ads to that visitor later.
• List-based remarketing: Uses an existing list (email, phone, CRM IDs) to send messages or upload to ad platforms for matched targeting.
• Dynamic retargeting: Ads that show the exact product(s) a user viewed, often via a product feed and template-based creatives.
• Time windows and frequency: You control lookback windows (e.g., 7, 14, 30 days) and ad frequency; both determine relevance and cost.
• What it excludes: Cold prospecting (targeting entirely new audiences) and on-site personalization that doesn’t involve follow-up outreach.

A high level of retargeting engagement generally indicates strong intent from your audience; low engagement may indicate poor creative, targeting, or tracking issues.

Formula / Measurement

The term itself is not a single metric, so you measure retargeting by campaign and audience KPIs. Common formulas used to evaluate retargeting performance:

• CTR: CTR = (Clicks / Impressions) x 100

  Clicks = ad clicks; Impressions = times ad shown.

• Conversion rate: Conversion rate = (Conversions / Clicks) x 100

  Conversions = purchases (or desired action) attributed to the campaign; Clicks = ad clicks attributed.

• ROAS: ROAS = Revenue / Ad spend

  Revenue = purchases attributed to the campaign; Ad spend = total spend for the retargeting campaign.

• CPA: CPA = Ad spend / Conversions

  Cost per acquisition for the retargeting audience.

Example calculation (realistic):

1. Impressions = 100,000; Clicks = 1,500. CTR = (1,500 / 100,000) x 100 = 1.5%.
2. Conversions (from those clicks) = 90. Conversion rate = (90 / 1,500) x 100 = 6.0%.
3. Revenue attributed = $7,200. Ad spend = $600. ROAS = $7,200 / $600 = 12.0.
4. CPA = $600 / 90 = $6.67 per conversion.

How it works (step-by-step)

1. Tagging or list creation

   What happens: You install a pixel/tag on your site or prepare a CRM list of customers/visitors. What you measure/do: Record page views, product views, add-to-carts, purchases. Why it matters: Accurate tracking is the foundation—missed events mean missed audiences.

2. Audience segmentation

   What happens: You create audience segments (e.g., product viewers, cart abandoners, purchasers in last 90 days). What you measure/do: Define lookback windows, exclude converters if needed. Why it matters: Segments let you match creative and bids to intent.

3. Creative and feed setup

   What happens: Build static or dynamic ads using product feed, SKU-level images, and tailored messaging. What you measure/do: Test headlines, offers, and creative formats. Why it matters: Relevance drives CTR and conversions—dynamic ads typically outperform generic ones for product pages.

4. Bidding and frequency control

   What happens: Set bids or use automated bidding and cap frequency to avoid ad fatigue. What you measure/do: Monitor CPM, CPC, and frequency. Why it matters: Overbidding or overexposing wastes budget; underbidding loses auctions.

5. Measurement and attribution

   What happens: Track click-through and view-through conversions, ROAS, and incremental lift where possible. What you measure/do: Compare retargeting cohorts against controls. Why it matters: Attribution windows, cross-device limits, and view-through credit can change performance interpretation.

6. Optimization and scaling

   What happens: Adjust audiences, bids, creative, and timing based on performance. What you measure/do: Run A/B tests and scale winning combos. Why it matters: Continuous optimization maintains efficiency as audience size and costs change.

Key components / factors

• Traffic source: Organic visitors, paid search, social, and email behave differently; search visitors often have higher intent than display visitors.
• Device: Mobile users may respond differently; cross-device identity matching affects reach and measurement.
• Customer intent: Product-page viewers vs. cart abandoners vs. category browsers — intent guides messaging and bid levels.
• Product/category: High-consideration items need longer windows and content-driven creatives; low-AOV items convert faster with simpler reminders.
• Pricing & shipping: High shipping costs or unclear fees reduce the effectiveness of retargeting unless addressed in creative.
• Checkout & payment friction: If a technical checkout issue exists, retargeting will waste budget unless the UX is fixed first.
• Promotions & seasonality: Time-limited deals and seasonal demand affect ad relevance and urgency.
• Technical performance: Pixel accuracy, tag timing, and feed health (for dynamic ads) critically impact who is targeted and how.
• Analytics & attribution: Platform attribution windows, cross-device matching, and cookieless changes affect reported performance.

Example (real ecommerce scenario)

Store: Mid-size DTC brand on Shopify selling apparel. Current monthly metrics: 50,000 sessions, 2.0% site-wide conversion rate (1,000 orders), AOV $80, monthly revenue $80,000.

Problem: High cart abandonment — 5,000 add-to-carts per month, but only 700 of these convert (14% of carts convert), leaving 4,300 abandoned carts.

Action: Launch a dynamic retargeting campaign targeting cart abandoners with a 14-day lookback; creative shows abandoned items plus a free-shipping CTA. Budget: $1,000/month. Assumptions observed from initial test: ad CTR 1.5%, click-to-conversion 4%, average order value $80, CPC $0.50.

Calculation:

1. Audience size = 4,300 abandoned carts. Reach assumption: 60% matched/served = 2,580 users exposed.
2. Impressions and clicks: If CTR among exposed audiences yields 1.5% of impressions converting to clicks, approximated clicks = 2,580 x 1.5% = 38.7 ≈ 39 clicks.
3. Conversions: click-to-conversion 4% → 39 x 4% = 1.56 ≈ 2 orders from direct clicks. This looks low because of small match rate and conservative assumptions; include view-through conversions: if view-through lifts total conversions by 1% of matched audience → 25 extra conversions. Total conversions ≈ 27.
4. Revenue: 27 x $80 = $2,160. Ad spend $1,000. ROAS = $2,160 / $1,000 = 2.16x. CPA = $1,000 / 27 ≈ $37.04.

Business impact:

• Incremental revenue +$2,160/mo (2.7% revenue uplift vs $80,000 baseline) — modest but positive.
• ROAS 2.16x indicates the campaign is covering ad cost and generating incremental revenue; next steps are to improve match rate, creative, and bidding to increase scale and ROAS.
• Optimizations to try: increase pixel accuracy, expand lookback window to 30 days, test dynamic vs. static creative, and A/B test a free-shipping message vs. urgency countdown.

Benchmark / What is a good result?

There is no universal “good” number for retargeting because performance depends on product price, margin, audience quality, traffic source, device mix, geography, and attribution method. Benchmarks vary widely by vertical and campaign type.

• Lower-than-expected CTR or conversion can signal poor creative, incorrect audience, or tracking errors.
• ROAS expectations should be set against margin: a 2x ROAS might be acceptable for low-margin items if CAC is reduced elsewhere; high-margin DTC products may require 6x+ to be profitable when ad and fulfillment costs are included.
• Compare retargeting performance to your own prospecting campaigns and historical results rather than an external “industry” number; also measure incremental lift with holdout tests when possible.

How to improve / optimize Retargeting and Remarketing (priority-ordered)

1. Fix tracking and increase match rates

   What to change: Ensure pixel fires on all key pages, use server-side tagging where possible, and upload hashed CRM lists. Why it works: Higher match rates increase audience size and reduce wasted spend on unmatched impressions. How: Run tag diagnostics, match tests, and reconcile audience counts with analytics. Monitor: audience size, matched rate, and invalid pixel events.

2. Segment by intent

   What to change: Create separate audiences for cart abandoners, product viewers, and past purchasers. Why: Each needs different messaging and bid strategy. How: Use event parameters (product ID, category) and lookback windows. Monitor: conversion rate per segment and incremental revenue.

3. Use dynamic creatives for product-specific ads

   What: Show the exact product(s) a user viewed with tailored CTA. Why: Increases relevance and CTR. How: Connect your product feed to the ad platform and template creatives. Monitor: CTR, conversion rate, and feed error logs.

4. Optimize frequency and timing

   What: Set frequency caps and adjust lookback windows (e.g., shorter windows for low-consideration items). Why: Prevent ad fatigue and reduce wasted impressions. How: Test different caps (e.g., 3–7 impressions/week) and measure CPA changes. Monitor: frequency, CPM, and conversion rate.

5. Test creative and offer variants

   What: A/B test headlines, images, and CTAs without defaulting to discount-heavy messaging. Why: Creative lifts CTR & conversion more sustainably than discounts. How: Test product-focused benefits, scarcity, social proof, and shipping messages. Monitor: lift in CTR and conversion, not just clicks.

6. Measure incrementality with holdout groups

   What: Run a test that excludes a randomly sampled portion of your audience from retargeting. Why: Attribution windows and view-through conversions can overstate incremental value. How: Use platform exclusions or analytics experiments. Monitor: lift in conversions and ROAS between exposed and holdout groups.

7. Integrate cross-channel remarketing

   What: Coordinate email/SMS flows with ad retargeting (e.g., stagger messages). Why: Reduces duplication and improves customer experience. How: Use CRM tags to exclude recent email recipients from certain ad sequences. Monitor: overlap rate and combined channel ROAS.

Best practices

• Validate pixels and server-side events with debugging tools before launching campaigns.
• Segment audiences by clear intent (viewed product, added to cart, viewed category) rather than a single catch-all list.
• Use dynamic product ads for SKU-driven stores; ensure your product feed is error-free and updated hourly where possible.
• Set frequency caps and adjust by audience size — smaller audiences need lower weekly caps to avoid burnout.
• Prefer targeted messaging (free shipping, low-stock alerts) over generic discounts; discounts as a tactic should be tactical, not default.
• Run incremental lift tests or holdouts to validate the real value of retargeting beyond reported conversions.
• Exclude recent buyers from prospecting and limit retargeting windows for recent purchasers to avoid wasted spend.
• Monitor cross-device reporting and reconcile with server-side events to understand true reach.
• Include UTMs and campaign-specific parameters so analytics platforms can reliably attribute sessions and conversions.

Common mistakes to avoid

• Targeting everyone with one campaign

  Why: Different intent levels require different creatives and bids. Correct approach: Segment audiences and tailor messages for cart abandoners, product viewers, and recent purchasers.

• Ignoring pixel and feed health

  Why: Missing or broken tags result in undercounting and lost reach. Correct approach: Regularly audit pixels, use test purchases, and monitor feed diagnostics.

• Over-relying on reported conversions without holdouts

  Why: View-through and last-click attribution can overstate incremental impact. Correct approach: Run holdout experiments to measure real lift.

• Excessive frequency

  Why: Ad fatigue harms brand perception and increases CPM; may drive negative feedback. Correct approach: Set frequency caps and rotate creatives.

• Using discounts as the default creative

  Why: Trains customers to wait for discounts and erodes margin. Correct approach: Test value-based messaging first (product benefits, social proof, shipping).

• Poor measurement of multi-channel overlap

  Why: Duplicate messaging across email, SMS, and ads wastes budget and annoys customers. Correct approach: Coordinate channels and use exclusion logic.

Retargeting and Remarketing vs related concepts

Prospecting vs Retargeting

• Prospecting: Targets new users who have not interacted with the brand, focused on audience expansion.
• Retargeting: Targets users who already interacted with the brand and are more likely to convert.
• Key difference: Prospecting is for acquisition and scale; retargeting is for conversion and recovery.

Retargeting vs Remarketing (terminology)

• Retargeting: Often used to describe ad-based tactics (pixel, display, social).
• Remarketing: Frequently used for CRM-based re-contacting (email/SMS), though many marketers use the terms interchangeably.
• Key difference: Channel emphasis — ads vs. CRM — but practical use overlaps heavily.

View-through conversions vs Click-through conversions

• View-through: Conversion that occurs after seeing an ad but without clicking it.
• Click-through: Conversion after clicking the ad.
• Key difference: View-through captures influence not direct engagement and is highly sensitive to attribution windows and counting method.

When should you track Retargeting and Remarketing?

• Who should track it: Ecommerce founders, growth marketers, and anyone running paid or CRM re-engagement programs.
• Stage of business: Start tracking when you have recurring traffic (hundreds of monthly sessions) and an established product catalog; early-stage stores can begin simple cart-abandonment flows and basic pixel tagging.
• Review frequency: Weekly for performance monitoring (CTR, CPA, frequency), monthly for strategic changes, and after any major site or feed change.
• Segments to analyze: Cart abandoners, product viewers, category viewers, past purchasers (by recency), and email/SMS non-openers.
• Metrics to view alongside: ROAS, CPA, CTR, conversion rate, matched audience size, frequency, and incremental lift (from holdout tests).

Related ecommerce metrics

• CTR (Click-Through Rate): Shows how compelling your retargeting creative is.
• Conversion rate: Measures how well retargeting converts clicks into purchases.
• ROAS (Return on Ad Spend): Primary profitability measure for retargeting spend.
• CPA (Cost per Acquisition): Useful to compare against other acquisition channels.
• View-through conversions: Indicates influence beyond direct clicks (use cautiously).
• Audience match rate: Percent of tracked users that platforms can match to ad identifiers — affects reach.
• Customer LTV (Lifetime Value): Helps determine how much you can spend to retarget profitably.

FAQs

1. What is the difference between retargeting and remarketing?

   Short answer: Many teams use them interchangeably; use "retargeting" to emphasize ad-based targeting via pixels and "remarketing" for CRM-driven re-contact like email/SMS. The practical actions and goals overlap.

2. How do I know if my retargeting campaign is working?

   Look at ROAS, CPA, and incremental lift versus a holdout. If ROAS covers margin and acquisition cost and a holdout group shows significant incremental conversions, the campaign is working.

3. What metrics should I prioritize for retargeting?

   Prioritize matched audience size, CTR, conversion rate, ROAS, and frequency. Also run periodic incremental lift tests to validate true impact.

4. How long should my retargeting lookback window be?

   It depends: short windows (1–7 days) for low-consideration, low-AOV products; longer windows (14–90 days) for high-consideration or high-AOV items. Test for your catalog and margins.

5. Why is my retargeting ROAS lower than prospecting?

   Possible reasons: audience overlap and duplication, incorrect attribution, creative fatigue, or targeting users who already converted but are still being served ads. Audit audience exclusions, frequency, and attribution settings.

6. Should I always use discounts in retargeting ads?

   No. Discounts can work but erode margin and train price sensitivity. Test non-discount messages first: shipping, social proof, product benefits, scarcity, and personalized product reminders.

7. How do privacy changes affect retargeting?

   Browser restrictions, platform privacy updates, and cookie deprecation reduce match rates and view-through attribution. Mitigate with server-side events, first-party data collection, and CRM list uploads.