The full operation, owned.

We don't guarantee numbers we don't control. What we do guarantee is the audit deliverable, the strategy plan, and the build cadence. If the category data doesn't support the uplift target we projected in the audit, we will tell you that before we start the engagement, not after.

For most engagements we publish a confidence band on the GMV uplift, tied to category headroom. If we don't hit the lower bound in 90 days, we extend the engagement at no charge until we do.

For most D2C brands, 60-90 days. The first 30 days are listing rebuilds, paid optimisation, and pack-mix work. The next 30 are the lift in organic search rank that follows. By month 3, contribution margin is typically positive on the SKUs that matter.

Brands that take longer usually have an unaddressed SKU rationalisation problem. The audit catches this on day 7.

Yes, on The Launcher path. The economics work because we are not running 200 SKUs and a 12-person account team for early-stage brands. We run a tight 12-20 SKU portfolio with a senior operator, focused on a specific marketplace launch.

If your brand is pre-revenue, the audit is still useful: it tells you whether the category headroom justifies a marketplace launch at all, before you commit capital.

90 days for The Launcher. Monthly retainers for The Scaler and The Transformer with 30-day notice, no annual lock-in. We run on outcomes-based scope: the work ends when the outcome lands, or sooner if the brand wants to take it in-house.

Rarely, and only for brands where we are convinced the category data justifies it and the founder is open to a multi-year operating relationship. For most engagements, we run on a transparent fee model. Our parent company runs a separate brand-investment thesis for that conversation.

Datum operates as an independent retail and consumer data platform across Quick Commerce, Amazon, Flipkart, and offline retail in India. We track 2,700+ brands on Blinkit alone, across 50+ FMCG, beauty, lifestyle, and wellness categories. Our methods are public-data and partner-data based; we publish methodology notes on every category cut.

The C360 team has direct access to the same data spine that powers Datum's research practice. That is the structural advantage we build on.

Yes. We run Amazon, Flipkart, Blinkit, Zepto, Instamart, and Myntra natively. Offline coordination (modern trade, GT) is handled in partnership with the brand's existing distribution team. The role we play offline is category intelligence: which formats are winning, where, and at what price, so the brand's offline team makes data-led decisions.

Flat monthly fee for management, never a percentage of ad spend. Percentage-of-spend models incentivise the agency to overspend, which is the opposite of what good ad management looks like. Our fees are tied to the brand path (Launcher, Scaler, Transformer) and the SKU footprint we're managing.

We don't work in pharma, alcohol (regulated channel), tobacco, or any category that requires legal/compliance scope outside our expertise. Outside those, we have run engagements across beauty, snacking, wellness, pet, mom & baby, home & kitchen, apparel, and lifestyle.

Three structural differences:

Senior operator on every account. The person reviewing your weekly numbers has run the same category before, on the brand side. Not a generalist re-reading your brief.

Data spine is shared. Your category audit is built from the same Datum data that powers our research practice. Most agencies pay for syndicated data; we own the platform.

Outcomes-based scope. We scope by deliverable, not by hours. The work ends when the outcome lands. Retainers don't extend by default.