Grip Socks Store
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E-commerce Case

Grip Socks StoreHow Feed Improvements Drove
Sales Growth

How a stronger feed, cleaner tracking, and better trust signals turned Google Ads from a basic setup into a more scalable revenue channel.

+49%
CTR
from 1.0% to 1.5%
+24%
Ad Spend
scaled without hurting efficiency
546%
ROAS
up from 380%
+51%
Purchases
from 202 to 307

This e-commerce store sold grip socks for pilates, barre, yoga, studio sessions, at-home workouts, and other movement routines. The catalog had clear use cases, strong visuals, and positioning that could perform well in Google Shopping once the account structure was tightened up.

Starting Point

At the start, the store relied on the default Shopify connection to Google. Products were present in Merchant Center, but the feed remained basic, many attributes lacked structure, and analytics did not clearly show which products, campaigns, and audiences were actually driving revenue. The goal was to turn Shopping into a more controllable acquisition channel with clearer economics.

Merchant Center improvements screenshot
Google Ads results screenshot

Left: Merchant Center improvements. Right: Google Ads results.

What We Improved

The account moved forward through feed improvements, cleaner measurement, tighter targeting, and stronger product presentation.

Rebuilt the feed foundation

Moved beyond the standard Shopify export so the catalog could be structured for Google Shopping, not just synced into Merchant Center.

Enriched product-level signals

Improved category mapping, product-type logic, sale-price accuracy, additional imagery, and clearer size and one-size messaging.

Strengthened measurement with Littledata

Strengthened server-side purchase tracking across Google and Meta so reporting and optimization could rely on cleaner conversion data.

Built layered remarketing audiences

Combined Google Analytics and Klaviyo audiences to retarget site visitors using stronger behavioral and lifecycle signals.

Refreshed ad copy and messaging

Refined Search and Performance Max messaging around use cases, product benefits, and social proof such as Oprah's Favorite Things.

Raised trust signals in Shopping

Improved reviews and Merchant Center quality signals so the brand looked more credible before the click and more competitive in listings.

Why It Worked

A cleaner, more complete feed gave Google better product understanding and shoppers more useful listing detail.

Littledata improved purchase visibility, making optimization decisions more reliable across platforms.

Audience layering from Google Analytics and Klaviyo made remarketing more precise and more relevant.

Reviews, Merchant Center quality, and stronger copy improved trust before the click and supported higher CTR.

Execution Timeline

Phase 1

Baseline audit

Reviewed the default Shopify feed, Merchant Center setup, and the existing gaps in attribution and revenue visibility.

Phase 2

Feed rebuild

Improved taxonomy, attribute consistency, sale price handling, additional images, and clearer product details for Shopping.

Phase 3

Measurement upgrade

Implemented Littledata to pass purchase events more reliably into Google and Meta and reduce blind spots in reporting.

Phase 4

Audience and messaging refresh

Used GA and Klaviyo audiences for remarketing while refreshing Search and Performance Max messaging around use cases and social proof.

Phase 5

Scaling with stronger trust

Improved reviews and Merchant Center quality so additional spend could be supported by a more credible Shopping presence.

How the Account Changed

The account did not improve because of one isolated fix. Better feed data, clearer tracking, stronger audiences, and higher trust signals lifted performance together.

CTR
1.5%
+49% vs prior period
Ad Spend
+24%
budget increased after efficiency improved
ROAS
546%
+44% vs 380%
Purchases
307
+51% vs 202

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