inMOLA for E-commerce
Every e-commerce CMO knows 25–40% of paid spend is structurally wasted. Catching it, scoring it, and reallocating it is the difference between a profitable quarter and a CFO meeting nobody enjoys. inMOLA was built to do exactly that — across paid, organic, social, and AI search.
E-commerce is the cleanest pressure test for marketing decision quality. Every dollar in paid media is measurable; every channel produces a number; every campaign has a ROAS. And yet most retailers spend hours of their best people's time per week arguing about which number to trust, which channel to cut, and whether the brand-versus-performance trade-off is going in the right direction.
inMOLA collapses that. The platform scores every channel against the strategic objectives the CMO actually owns — not just last-click conversion — and surfaces where money is being burned on assumptions that are no longer true. For a category where margins are tight and competition is one swipe away, the decision layer is the difference.
The four problems we hear most often when we talk to leaders in this category.
Aggregate ROAS looks fine. Channel-level ROAS hides the audiences, creatives, and SKUs that are quietly burning 30% of the budget on customers who never come back.
Performance team wants more budget for paid; brand team wants protection for upper-funnel; finance wants ROAS up. Nobody has the single number that resolves it.
A rival drops prices, launches a new SKU, takes 4% share of voice — you see it when revenue dips, not when it happens.
Buyers ask ChatGPT "best [product] for [use case]" before they search Amazon. If you do not show up in the answer, you do not get to compete.
From the 40+ available, these are the ones we activate first for this category.
Channel-level performance scored against business goals, not vanity ROAS. See which channels are structurally winning and which are running on assumptions that no longer hold.
Segment customers by lifetime value signal, retention probability, and acquisition channel quality. Stop spending on cohorts that never come back.
Page-by-page diagnosis of where your site is converting and where it is leaking. Segment-based recommendations on what to fix first.
Real-time competitor scoring across brand presence, paid efficiency, and category share. See category dynamics shifting before they show up in your revenue.
Yes. inMOLA reads from Shopify and WooCommerce via API — orders, products, customer behavior. Combined with paid media data and analytics, it produces channel-level ROAS that actually means something.
Directly for you. At that spend level, structural waste is typically $25–40K per month. inMOLA Core implementations for DTC brands at this scale usually recover most of it inside the first quarter.
No. Those are the operational layer. inMOLA reads from them, layers in non-Meta and non-Google signal (organic, brand, competitor, AI search), and produces the cross-platform decisions those dashboards individually cannot.
4–6 weeks for Core (full enterprise implementation with the data plumbing). Spark is same-day for SMB e-commerce. Most teams see the first reallocation decision in week 5 or 6 — and that one decision typically pays for the engagement.
Yes. Multi-tenant by design. Each brand or market gets its own scorecard, with optional cross-brand rollup for the corporate marketing leader.
inMOLA continuously evaluates against rolling baselines, so seasonal pressure does not get mistaken for structural change. Your BFCM performance gets scored against the right comparator — not just last week.
We will connect to your Shopify and ad accounts and produce a real-data waste report inside the first two weeks. You decide what to do with what we find.