Account diagnostics and growth map
We audit tracking quality, feed/search/creative architecture, and prioritize profit opportunities before scale decisions.
A disciplined operating partner for Meta and Google Ads
Done-for-you execution for teams that want controlled scale through clear testing systems, robust architecture, and measured decision-making.
How the engagement works
Execution loops by channel
Meta operates on creative volume and bid-cap control. Google runs on segmented feeds, AI rewrites, and intent-led search structure.
Weekly iteration and governance
Each week we retire weak tests, promote validated winners, and keep spend aligned to margin-aware targets.
Representative outcomes
How we operate in-market
Representative campaign snapshots based on our live operating systems across Google and Meta.
Multi-feed funnel segmentation for apparel scale
Challenge: One Shopping feed mixed TOFU/MOFU/BOFU traffic under the same structure, weak title variation, and poor query control.
- 1. Rebuilt catalog into segmented feed architecture by funnel stage (TOFU/MOFU/BOFU).
- 2. Used AI to rewrite titles, descriptions, and key attributes under angle-specific messaging.
- 3. Launched parallel feed tests in Google Merchant Center with strict control groups.
- 4. Added collection-level search ad build-outs with tailored RSAs mapped to product intent clusters.
Outcome: Query quality improved, margin erosion from broad Shopping reduced, and scale resumed without relying on aggressive bid inflation.
High-volume AI creative testing with bid caps
Challenge: Creative fatigue every 10-14 days and unstable CAC spikes whenever spend was increased.
- 1. Generated and launched hundreds of AI-assisted image/video creatives across angle families.
- 2. Applied bid-cap controls to keep scaling disciplined while testing large creative batches.
- 3. Structured rapid cut/keep cycles based on thumb-stop, hold-rate, and conversion depth.
- 4. Recycled winning concepts into second-generation variants instead of one-off winners.
Outcome: Account moved from reactive creative swaps to a repeatable testing engine with steadier acquisition costs at higher spend levels.
Search + Shopping system for high-SKU catalog
Challenge: Strong brand demand but weak non-brand capture, with generic shopping titles and underdeveloped search coverage.
- 1. Built AI-led feed angle variants by intent and seasonality across multiple feed streams.
- 2. Introduced collection/product-specific RSA frameworks with stronger relevance and message match.
- 3. Mapped query classes to distinct acquisition lanes to isolate budget by margin profile.
- 4. Ran feed and ad copy tests as coordinated experiments instead of isolated channel changes.
Outcome: The account unlocked consistent non-brand contribution while preserving efficiency on branded demand.
Alternative paths if you are not ready for full DFY
Agency Partnership
Done-for-you execution for brands that want scale without in-house lift.
Let’s map your next growth phase
We review your current setup, identify practical opportunities, and confirm whether DFY execution is the right model for your stage.