Predictive Marketing Analytics for Energy & Utilities

Measuring marketing in a market
where a lot changes at once

In energy, demand and conversion do not only move with your campaigns. Tariffs, seasons, market developments and competitor behaviour also play a part. If you attribute the results to media channels alone, you can draw the wrong conclusions.

Multi-year In use at energy brands
ATL + online One model across the whole mix
Scenario analysis Budget choices calculated in advance
Energy & Utilities
Why energy is different

Built on the dynamics of your market

Bring market influences and media together
01. Market and media

Bring market influences and media together

Datafy analyses your online and offline media in relation to the available sales data and relevant external factors. This gives you a clearer view of what marketing contributes, without pretending that the model can fully explain every movement in the market.

Calculate the effect of a different budget split in advance
02. Scenarios

Calculate the effect of a different budget split in advance

What is likely to happen when TV pressure goes down and search gets more budget? And does that answer change during a busy switching period? With scenario analysis you can compare the options before you act on them.

Steer per brand and label
03. Multi-brand

Steer per brand and label

Multiple brands or labels in one portfolio? Each brand gets its own model and its own budget advice, while you keep the overview at portfolio level. This prevents brands from distorting each other's results.

In the sector

Energy brands have steered on Datafy for years

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At Essent we have been using Datafy to great satisfaction for years. With Datafy we get weekly insights into how our campaigns are performing and where we can best optimise, across our ATL, BTL and online campaigns. The media mix tool ensures we have the best overall budget allocation across all these channels.

Energy & Utilities

Want to see what the model does with your switching season?

Book a demo and we will show, on sector data, how weather, season and media investment are pulled apart.