DTC / eCommerce
42 brands scaled past ₹80 Cr
Feed architecture, margin-weighted bidding and creative volume. We manage to contribution margin per cohort, which usually means killing the retargeting line everyone is proud of.
Industries
Category context is not a nice-to-have. It is the media plan.
Return rates, subscription economics, claim compliance, post-ATT measurement — the constraints differ enough that a generic playbook quietly loses money. Here is how the approach changes.
Beauty & Personal Care
Avg. 3.1x blended ROAS
The most creator-dependent category there is. We build standing UGC production lines, handle claim compliance in briefs, and scale winners through Spark Ads rather than brand handles.
Health & Wellness
11.4% average TACoS
Subscription economics, retail media defence and the regulatory tightrope of what a creator can and cannot say. We brief for it explicitly and review every asset before it runs.
Fashion & Apparel
9-day creative refresh
Return rates make the AOV a lie. We optimise to net revenue after returns, use creators for honest sizing and fit content, and treat lookbooks as a brand cost, not a media asset.
SaaS / Tech
44% lower cost per closed-won
Long cycles, thin conversion data. We wire CRM stage changes back into the platforms so bidding optimises toward revenue rather than the form fills your sales team ignores.
Food & Beverage
1,840 creators recruited
Low AOV, high repeat, tight margins. Commission-first creator programmes and subscription-led offers do more here than any amount of prospecting budget.
App / Mobile Gaming
34% lower cost per payer
Post-ATT UA where installs are a vanity metric. We optimise against predicted day-7 value, ship 40 creative variants a month and cut geos without sentiment.
Not on the list?
We take on two or three categories a year that we have not run before, and we say so openly on the first call. If we do not think we can beat your current number, we will tell you that instead of pitching.
Ask us directly