340+
Remarketing for e-commerce
Recovered 23% of abandoned carts and reached 840% ROAS for an electronics store
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840%
ROAS
23%
carts recovered
+35%
repeat purchases
Who this is for
This case study is for you if...
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E-commerce with Google Ads
A store getting 5K+ visits per month but suffering from a high abandoned-cart rate
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Abandoned carts above 60%
Google Ads is running, but users leave without buying and never return
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No remarketing
Dynamic remarketing is missing, so every lost customer forces you to pay for another click
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Low repeat-purchase rate
The data layer is not configured, so Google Ads does not know which products the user viewed
See yourself in this? Keep reading: this case study shows the solution.
Context
About the project
An electronics e-commerce store
An electronics e-commerce store
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Challenge
Abandoned carts were very high at 78% and repeat purchases were low, so a large share of traffic was leaving without converting.
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Goals
01
Bring back users who abandoned their carts
02
Increase ad campaign ROAS
03
Increase the share of repeat purchases
Why this is hard
What can go wrong here
And why most contractors get it wrong
Without a data layer, remarketing is blind
Standard remarketing shows the same generic banners to everyone. Without a data layer, Google Ads does not know which products a user viewed and cannot show them back. The result is low CTR and wasted spend.
How I solved it:
An extended GTM data layer passing item_id, price, and category through every funnel step
One audience means one blunt strategy
An abandoned cart and a simple product view signal different intent. Showing both groups the same message under-converts hot users and annoys colder ones.
How I solved it:
Segmentation by behavior pattern: cart, product view, and repeat visit
Frequency and audience fatigue
Remarketing without frequency control turns into spam. If a user sees the same banner 20 times, the brand starts to feel intrusive instead of valuable.
How I solved it:
Frequency capping plus creative rotation with different messages for each stage
Process
What was done
STEP 01
Dynamic Google Ads remarketing
Set up dynamic ad campaigns that show the exact products users viewed or added to cart.
STEP 02
GTM data layer
Implemented an enhanced data layer via Google Tag Manager to track on-site actions accurately.
STEP 03
Behavior-based audiences
Segmented audiences by behavior patterns: abandoned carts, product viewers without purchase, and repeat visitors.
My approach
What I did differently
1
Dynamic ads showing exact products
Not generic banners, but the exact products the user viewed or added to cart. The data layer sends all the required information, so Google Ads can build personalized ads automatically.
2
Three audience segments by intent
Abandoned carts got aggressive recovery messaging within 3 days. Product viewers without carts got softer messaging for 7 days. Repeat visitors entered a 14-day cross-sell flow.
3
The GTM data layer as the foundation
I implemented an extended GTM data layer covering view_item, add_to_cart, begin_checkout, and purchase. Every event passes item_id, price, brand, and category, which lets Google Ads target accurately.
Results
Numbers that speak for themselves
23%
recovered abandoned carts
840%
ROAS
+35%
repeat purchases
Transformation
Before and after
Remarketing
None
Dynamic
3 audience segments
Cart abandonment
78%
23% recovered
within 3 days
Data layer
Did not exist
GTM Enhanced
view_item → purchase
ROAS
Not measured
840%
after 2 months of optimization
What this means for the business
ROAS 840%
every UAH invested returned UAH 8.4
+35%
repeat purchases from existing customers
In simple terms, instead of always chasing new customers, we bring back the ones who already wanted to buy. That is about five times cheaper.
Free resource
Checklist: setting up dynamic Google Ads remarketing
A step-by-step e-commerce checklist covering everything from the data layer to audiences and creatives, based on a real campaign with 840% ROAS.
- PDF, 2 pages: concrete steps
- GTM data layer template included
- No signup, no spam
PDF
Remarketing setup checklist
Questions
FAQ
How do you set up dynamic remarketing for e-commerce in Google Ads?
You need an extended GTM data layer that passes item_id, price, and category at every funnel step such as view_item, add_to_cart, and purchase. You also need behavioral segmentation for abandoned carts, product viewers, and repeat visits. In this case, that delivered 840% ROAS.
What ROAS can you expect from Google Ads remarketing?
For e-commerce with properly set up dynamic remarketing, a ROAS range of 500-1000% is realistic. In this case, the electronics store reached 840% ROAS after 2 months using three audience segments.
How do you recover abandoned carts through Google Ads?
Create an add_to_cart without purchase audience for the last 3-7 days, then show dynamic ads with the exact products left in the cart. Add frequency capping and creative rotation to avoid fatigue. In this case, 23% of abandoned carts came back to purchase.
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