How to Retarget Using Amazon DSP

Introduction

Retargeting is the rebound that turns interest into purchase. For many advertisers, the promise of retargeting is simple: find people who looked and nudge them until they buy. This guide explains How to Retarget Using Amazon DSP in a practical way. It covers setup, audience design, creative decisions, measurement and common pitfalls. Read this for tactics that work in real campaigns, not just theory.

Why retargeting matters for ecommerce

When a visitor leaves without converting, value is still on the table. Retargeting captures that value. On Amazon, audiences are high intent. Those signals can be used off Amazon with precision. Learning How to Retarget Using Amazon DSP means learning how to move shoppers through the funnel without wasting spend.

Key reasons to invest in retargeting:

• Cost efficiency. Converting warm users costs less than cold acquisition.
• Signal quality. Amazon data includes shopping behavior which tends to predict conversion.
• Cross device reach. Reach audiences where they spend time outside of Amazon.

What Amazon DSP does differently

Amazon DSP is a demand side platform that uses Amazon shopping and streaming signals to find relevant users. The platform buys display, video and native inventory programmatically. It can target by shopping behavior, contextual signals and audience lists derived from Amazon activity.

That means learnable advantages. The raw data available inside the platform skews toward purchase intent more than many other ad exchanges. Use that. Lean into product view data when building retargeting groups.

Step by step: How to Retarget Using Amazon DSP

1. Define retargeting goals

Start with a clear conversion to measure. Examples include product purchase, add to cart, or email signup. Choose one primary goal. Keep it narrow. Measurement is easier that way.

2. Build audience segments

Use these audience buckets as a baseline:

• Product viewers in the last 7 days.
• Add to cart without purchase in the last 14 days.
• Past purchasers for cross sell opportunities.
• High value browsing sessions filtered by category or brand.

Create separate line items for each bucket. Do not mix behaviors. Mixing weak and strong signals dilutes performance.

3. Choose creatives that match intent

Match creative to where users sit in the funnel. For recent product viewers, show the exact product image with price and a tight call to action. For add to cart users, try urgency such as limited stock or a small incentive. For past purchasers, use complementary product suggestions.

Keep creatives simple. One clear message per ad. Use high quality images and concise copy. Test variations but avoid too many at once.

4. Set frequency and pacing

Frequency matters. Too many impressions create annoyance. Too few reduce recall. Start with conservative caps. For example, 6 to 8 impressions per user per week for recent viewers. Monitor performance and tighten or loosen based on CPA movement.

5. Use bid strategies aligned to KPI

Choose bids consistent with the goal. If the objective is direct response, prefer lower CPM with tighter audience targeting. For brand lift or awareness, higher CPMs on video may be warranted. Watch win rates and adjust.

6. Layer exclusions and lookback windows

Exclude converters from purchase retargeting lists to avoid waste. Set lookback windows based on product sales cycle. Fast consumables may need short windows. Big ticket items may need longer windows.

7. Measure and iterate

Define a reporting cadence. Daily checks are fine for pacing. Weekly reviews reveal trends. Track CPA, ROAS, frequency and viewability. Use incrementality tests where possible to understand true lift.

Creative and messaging ideas that work

Specific examples beat vague advice. Here are tested approaches:

• Exact product ad with price tag for users who viewed product. Clear call to action. No fluff.
• Bundle offer for users who added multiple items to cart but did not purchase. Show savings.
• Social proof for high priced items. Short review excerpt plus rating.
• Reminder ad for cart abandoners with one click back to cart.

Rotate variations slowly. Let each test run long enough to collect meaningful signal.

Measurement blueprint

Measurement is where campaigns live or die. The following metrics deserve attention:

• Conversion rate by audience bucket.
• Cost per acquisition by creative variant.
• Return on ad spend using last click and view through windows.
• Incremental lift from control group testing.

Set up Amazon DSP reporting to export the metrics into a BI tool. Use cohort analysis to see how users progress over time.

Common mistakes to avoid

• Throwing all users into a single retargeting list. Segmentation matters.
• Running unlimited frequency. This causes wasted spend and brand damage.
• Ignoring creative fatigue. Creatives lose effectiveness quickly with repetitive exposure.
• Failing to exclude converters. This wastes budget fast.

Practical tips from the field

Budget allocation should follow a performance driven cadence. Start with more budget on high intent audiences. Move spend to broader audiences only after performance is proven.

Coordinate Amazon DSP activity with on platform tactics such as Sponsored Ads. Use insights from DSP to inform which products should be boosted inside Amazon.

Final notes on execution

How to Retarget Using Amazon DSP is less about tools and more about decisions. Good data segmentation, aligned creative and steady optimization beat clever hacks. Expect to refine audiences for several cycles. Watch the numbers closely and be prepared to cut what is not working.

A practical first campaign might target product viewers from the last 7 days with a creative showing product, price and a single button leading back to cart. Keep the initial run short. Learn fast. Then expand.