Meta: high-volume creative generation
We launch high-volume AI creative angle sets, then route budget into proven winners under strict bid-cap control.
We run Meta and Google Ads with AI systems built for disciplined scale.
Meta: bid caps with high-volume AI creative testing. Google: segmented feed architecture, pre-sell systems, and tailored search deployment via APIs.
$2M+
50+
500+
5K+
Meet the operators behind Tegra
Both founders work directly in live accounts, publish practical insights, and maintain a performance-first operating standard.
Andrei Lunev
Meta Ads + AI
Scaling Meta ads with creative volume systems and bid-cap controls for consistent CAC.
Ruslan Galba
Google Ads + AI
Scaling Google Ads with segmented feeds, AI rewrites, and search architecture automation.
How we run campaign execution
Every change follows a clear loop: structured testing, measured promotion, and consistent account governance.
Google: segmented feed architecture
We segment Shopping into TOFU, MOFU, and BOFU lanes, rewrite feed attributes by intent, and evaluate each lane independently.
Search deployment via APIs
We deploy tailored search assets through API workflows to maintain speed, consistency, and clean account structure.
Representative performance snapshots
Examples below reflect the operating patterns we use across Google and Meta engagements.
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.
Choose your level of support
Start with products, then move into membership, advisory, consulting, or full execution as needed.
Agency Partnership
Done-for-you execution for brands that want scale without in-house lift.
Follow our in-market thinking
Daily notes from active campaign work, testing decisions, and operating insights from both founders.
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