inMOLA for Consumer Electronics
Consumer electronics marketing is the most demanding test of marketing intelligence: multiple markets, multiple languages, multiple product lines, channel partners, and a category where one quarter of brand neglect costs years to rebuild. inMOLA was used by LG Electronics to take Türkiye to #1 in MEA and #6 globally.
Consumer electronics brands have a unique pressure: every market is competitive, every product line has its own dynamics, every channel partner has its own incentives, and the brand has to look consistent across all of it. The marketing leader who has to coordinate this typically lives inside dozens of tools, hundreds of dashboards, and a constant series of regional reviews that should reach the same conclusion but rarely do.
inMOLA was built for exactly this complexity. It scores brand, performance, and PR across markets simultaneously, surfaces where local execution is winning versus where it is drifting, and produces the cross-market decision layer the global CMO and the regional GM both need to be reading from.
The four problems we hear most often when we talk to leaders in this category.
Each region produces its own dashboard, its own narrative, its own quarterly review. The global CMO has no defensible cross-market comparison.
Retailers and distributors run their own marketing in your name. You see their last-click conversions; you do not see how they are positioning the brand.
Brand equity moves slowly. By the time the share-of-voice number tells you it has dropped, you are already a quarter behind the competitor that took it.
Customers ask ChatGPT and Gemini "best 65-inch TV" or "best smartphone for video" before they walk into the store. AI search visibility is the new shelf placement.
From the 40+ available, these are the ones we activate first for this category.
Real-time brand health scoring across markets — share of voice, sentiment, search interest, social momentum. The category-leadership early-warning system.
How your products appear in AI search answers across markets and languages. Track Gemini, ChatGPT, Perplexity, and Claude appearances for "best [category]" queries by region.
Monthly PR valuation — earned coverage scored on reach, prominence, and brand alignment. End the "marketing PR is soft" conversation with a defensible number.
Real-time competitor scoring across brand, paid, organic, and PR. See category dynamics shift before they reach your sell-through reports.
Customer story
Data-driven performance leadership: #1 in MEA, #6 globally
Integrated digital and marketing systems unified the marketing plan, digital assets, data infrastructure, communication systems, and social media into a single corporate strategy. A data flow of 1.5 million data points positioned LG Türkiye as 1st in the MEA region and 6th globally across marketing, digital, and PR performance — sustaining brand and category leadership where every other player was getting more aggressive, not less.
#1
In MEA region
#6
Globally
1.5M
Data points unified
Yes. inMOLA Core is multi-market by design. Each market gets its own scorecard; the global team gets a unified cross-market view. LG Electronics ran on inMOLA across MEA and globally.
Yes. inMOLA reads from whatever each region uses — different CRMs, different analytics, different ad platforms — and produces a normalized scorecard at the corporate level. You do not need to enforce a single regional stack.
Where partner data is shared (e.g., co-marketing platforms, retailer dashboards, sell-through reports), inMOLA ingests it via API. Where it is not, the platform tracks brand presence from the public signal — what gets advertised, what gets reviewed, what gets searched for.
Increasingly yes. Buyers in major electronics categories — TVs, phones, laptops, appliances — research via ChatGPT, Gemini, and Perplexity before retail. Whether your products show up in those answers, by market, is the new dimension of category leadership.
BI tools give you a flexible canvas; you have to build the brand-and-category logic yourself. inMOLA arrives with the logic already encoded across 40+ modules — including brand health, AI visibility, PR media value, and competitor scoring that take years to build in Tableau. See our Tableau / Power BI / Looker comparison page for the side-by-side.
Typical Core implementation is 4–6 weeks for a single market, with subsequent markets layered in over the following months. Most multi-market enterprises run inMOLA across 3–5 markets within the first six months.
We will run a category-leadership audit on your markets — brand presence, AI visibility, PR value, share of voice — and show you where the picture matches your sell-through, and where it does not.