Higher ROAS.
Scaled Profitably.

Fair — that's the most common thing we hear. We don't ask you to take our word for it: real before/after numbers (like Paraiso's 1.9×→3.2× ROAS), a full-account-rebuild approach instead of just managing your existing ads, and a transparent reporting cadence so results are visible, not taken on faith.

We're not pricing media buying — that's commoditizing fast under tools like Meta Advantage+. You're paying for the attribution layer and full-funnel ownership that produces the ROAS multiple, which is what most agencies don't actually do.

We rebuild the account — ICP, creative testing systems, budget pacing, and CRO — instead of running the same playbook harder on what’s already broken. Proof over adjectives: ask us for the numbers.

Advantage+ optimizes whatever you feed it. It doesn't fix fatigued creative, wrong ICP, broken attribution, or a landing page that doesn't convert — the upstream work that actually moves ROAS.

Our proof spans different situations, not one lucky niche — a fashion brand with a ROAS plateau, and a seasonal/gifting brand needing to win a single high-CPM peak window. The method is what's being proven, not a category.

Depends on ad spend scale and scope — get in touch for a specific number after the diagnostic call, not a generic range.

We do — catalog and inventory alignment is a named service, not an add-on. We clean and structure the product feed so Advantage+ Shopping and PMax spend follows what's actually in stock and converting, then take over the account end-to-end: audience architecture, creative testing, and attribution, not just the feed. Large-SKU accounts we take over start with a free diagnostic that maps exactly where the current setup is leaking spend.

Three things have to be right before you scale spend: a clean, variant-aware product feed with no dead SKUs or out-of-stock bestsellers burning budget, campaign architecture that separates cold, warm, and hot traffic, and attribution reconciled against real payment/order data — not just platform-reported ROAS. We build all three before a single rupee of new scaling spend goes out. Fashion and apparel catalogs carry extra requirements around size/colour variants and returns, which we handle with a dedicated approach for fashion accounts.

Because catalog ads — Advantage+ Shopping, dynamic retargeting, PMax — show the exact product a shopper is likely to buy at the moment they're primed to buy it, which is why they typically outperform static creative once a catalog is live. The catch: they only perform as well as the feed underneath them. A messy feed with out-of-stock or mispriced SKUs will happily burn budget on products you can't sell, so we rebuild the feed and campaign structure together — that's what actually moves ROAS, not just switching catalog ads on.

We do — attribution and reconciliation is a named service, not a reporting afterthought. We check ad-platform numbers against your real payment and order data before any scaling decision, and manage toward CAC payback and contribution margin, not just the ROAS a platform dashboard shows you. It's the same math behind our CAC-vs-LTV framework for ecommerce ad spend.

Growth Escalators is one — 10,000+ campaigns run and ₹10Cr+ in ad spend managed for D2C and retail brands, with 97% client retention. What separates a real catalog ads specialist from a generic media-buying shop is full-funnel ownership: the product feed, the audience architecture, and post-purchase attribution — not just turning Advantage+ Shopping on and hoping the algorithm does the rest.