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Guide · India market entry
What headquarters should monitor in the first 180 days
Revenue is a lagging indicator and in India it lags further than most headquarters expect. Here is what to watch instead, and what to ignore.
The most damaging dynamic in a new-market launch is a headquarters watching the wrong numbers. Revenue in month three is close to meaningless in most categories, and a board that treats it as the measure will either cut the programme prematurely or force short-term activity that damages the position being built.
What is needed instead is a small set of leading indicators that genuinely predict revenue, reported consistently enough that trends become visible.
For B2B and industrial launches
- Qualified pipeline value and stage distribution — with stages appropriate to Indian B2B, including sample and design-win stages that Western models omit. Pipeline that is all early-stage after six months indicates a conversion problem, not a generation problem.
- Target account penetration — of your named account list, how many have been contacted, engaged, sampled and are evaluating. This is the clearest early indicator of whether the programme is working.
- Sample and enquiry conversion — how many enquiries become samples, and how many samples become evaluations. Weak conversion here usually means a proposition or price problem.
- Channel activity — distributor enquiries generated, quotes issued, and their conversion. A distributor generating no enquiries is not selling regardless of what they report.
- Design wins or specifications secured — the true leading indicator in component categories, often twelve months ahead of revenue.
For consumer launches
- Listing quality and organic search position — on the marketplaces that matter for your category — this is your shelf position and it predicts everything downstream.
- Review volume and rating trajectory — for an unknown imported brand, review accumulation is the single strongest predictor of sustainable sales.
- Repeat rate — the metric that distinguishes a launch from a business. Trial can be bought; repeat cannot.
- Contribution after platform costs — not gross revenue. Marketplace revenue net of commission, fulfilment, advertising and returns is the number that tells you whether this works.
- Return rate by SKU — high returns on a specific SKU is early warning of a product, sizing or expectation problem.
What to stop reporting
Impressions, reach and follower growth predict very little and consume attention. Website traffic without conversion context is similarly hollow. Exhibition contact counts are a measure of footfall rather than pipeline.
The test for any metric is whether a movement in it would change a decision. If a number can go up or down without anyone doing anything differently, it does not belong in a headquarters report — it belongs in the working file where the team can use it.
One further discipline matters more than the metric selection: report honestly when a number moved for reasons outside the marketing programme. A headquarters that learns to trust the reporting will fund it through a difficult quarter. One that suspects the numbers are being managed will not.
Questions
What overseas teams ask
How often should we report?
Monthly written reporting against the agreed set, with a shorter weekly note during active launch periods. More frequent formal reporting than that consumes more time than it produces insight; less frequent means problems surface too late to fix.
What if the leading indicators are good but revenue is not?
That is a normal and informative pattern in the first two quarters, particularly in B2B where the lag between pipeline and revenue is long. It becomes a concern when strong pipeline persistently fails to convert, which usually points to price, terms or a competitive factor at the closing stage rather than a marketing problem.
Should the distributor report into this dashboard?
Ideally yes, and negotiating that visibility at the point of appointment is far easier than requesting it later. A distributor unwilling to share enquiry and quote data is telling you something about how the relationship will run.
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