Your ERP knows what shipped. It does not know which specs retailers compared before committing, which colours they browsed and abandoned, which accessories they bundled, or which content convinced them. The gap between order data and decision data is where launch advantage lives.
Which colours do retailers browse most during pre-order? Which do they configure but not commit? Without capturing the browsing journey, production splits are based on last cycle’s orders and instinct.
Which accessories convert best per device per channel? Which bundles get built and abandoned? Without structured attach data, your highest-margin category is optimised by accident.
You invested in hero films, teardown footage, and lifestyle content. Which drove allocation commitments? Without connecting showroom engagement to portal orders, your content budget follows instinct.
Launch data is cyclical. But intelligence compounds. Each cycle adds a layer your competitors cannot replicate.
Which specs do retailers compare most? Which drive commitment? After two cycles: you know which features to lead with per channel type and which to deprioritise in messaging.
Pre-order browsing patterns predict launch-day colour demand. After two cycles: production splits align to actual market preference, not last year’s sales data.
How fast does each retailer commit? Which tier commits first? Which hesitates? This predicts future allocation efficiency and identifies retailers who need earlier briefing.
Which accessories convert per device per channel? Which bundles get built and abandoned? This shapes bundle defaults, pricing strategy, and accessory production volumes.
Hero film vs teardown vs lifestyle content. Which drives commitment? Showroom watchtime correlated with portal orders gives the answer. Content budget shifts from instinct to evidence.
Premium chains buy differently from online marketplaces. Telco partners buy differently from electronics specialists. Behaviour patterns per segment shape pricing, allocation, and sales strategy.
A dashboard showing last launch’s revenue is a report. A data strategy for consumer electronics means capturing structured intelligence at every touchpoint: which specs retailers compare, which colours they browse, which accessories they bundle, which content converts, and how fast each channel commits.
FIRE captures this across six channels. The trade fair appointment, the showroom experience, the midnight portal restock, the Remote briefing with the APAC distributor — all structured, all feeding one data layer that compounds every product cycle.
After three cycles, your launch planning does not start with a forecast. It starts with structured demand data. That intelligence is the strategy. The dashboards are just how you read it.
Specs, colours, allocation, accessories, content — structured data that compounds every cycle.
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