How to scale personalization efforts with data-driven marketing

How to scale personalization efforts with data-driven marketing?

Tristan Silhol, senior manager of consulting at data company Artefact, recently worked with hygiene, health and nutrition CPG company Reckitt to revitalize their marketing campaigns. Their goal was to move Reckitt from a mass-market marketing approach to more personalized customer targeting.

“Typical strategic marketing teams are focused on assumption-based marketing,” he said in his presentation at our MarTech conference. “So, essentially building media campaigns and personalization based on external factors such as consumer surveys, brand knowledge, demographic data, national demographic data, statistical data, and consumption data.”

He added, “This is great to build broad campaigns, but it might not be sufficient when current customers expect a lot of personalization and a certain level of relationship.”

Moving from assumption-based marketing to data-driven marketing is no simple task. It takes a lot of coordination and resources to focus less on external factors and more on individual customer data. But, with the right strategies in place, marketers will have a much easier time adjusting their campaigns.

While “data-driven marketing” sounds like a commonplace tactic, it’s actually a relatively new way of structuring campaigns. Traditional marketing relied on assumption-based strategies to figure out what customers wanted. Now, new marketing technologies allows brands to make decisions based on real-time customer data.

“This data-driven marketing piece represents a very large piece of the untapped opportunities for brands, and it requires a lot of capabilities and innovation,” he added.

According to Silhol, CPG companies often have a difficult time translating traditional consumer and market insights-based segmentation into addressable audiences due to lack of a data-driven approach: “Often those companies end up arbitrarily targeting segments online and having this disconnect between what is available in terms of addressable audiences and their marketing segmentation.”

To combat these challenges, Silhol recommends marketers turn to their marketing operations setup to see how optimized it is for analytics and data procurement.

In the same presentation, Guilherme Amaral of Reckitt discussed how he worked with Artefact’s team to introduce customer data and insights into their campaign automation.

“We started a whole program of digital transformation focused on transforming the way we run digital media campaigns,” he said. “This was just the first step in terms of setting up successful campaigns.”

He added, “We also talked about the right data, the right processes, the right technology, and internalizing some of these capabilities as well.”

Internalization was a major piece of Reckitt’s marketing ops transformation. By internalizing operations, it was able to reduce spend on external measurement tools, centralize customer data, build audiences with its own AI, and measure data independently.

Artefact helped Reckitt implement audience management technology to help scale these data-driven marketing efforts.

With upcoming consumer data regulations, marketers need ways to take advantage of all their customer data, especially if they hope to deliver personalized experiences. Audience management platforms (such as the audience engine), combined with data-driven marketing strategies and operations, have the potential to address this with improved campaign efficiency and personalization.

She added, “We’re still working and evolving because the audience engine has been so impactful for our business.”

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