Over the past couple of weeks, we’ve discussed why customer marketing teams are struggling to achieve impactful personalisation at scale and how they can overcome those challenges.
With the right people, processes and technology in place to unify, analyse and activate a brands’ online and offline data, marketers can create optimised omnichannel experiences for each customer, serving them the content and offers they want to see, when and where they want to see them.
And we know it works. Personalisation increases purchase frequency and customer value by bolstering engagement, boosting basket sizes and highlighting the cross-/upsell opportunities that customers actually want to see. In fact, we’ve seen predictive targeting and personalisation lead to a 20-30% uplift in engagement for our clients, resulting in £100ks incremental revenue.
Interested?
Download the eBook to discover 7 simple ways to incorporate personalisation into your customer marketing program.
Resources
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AI: A growing concern for customer marketing leaders
Why are senior marketers worried about AI? This blog uncovers the reasons behind the concerns and discusses how to overcome them.
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3 examples of fixing data foundations
Explore how Halfords, M&S International and Crew Clothing resolved common customer data foundation challenges by starting with a simple use case.
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Personalisation at scale in marketing
Personalisation has been a hot topic over the last 10+ years, so what’s preventing marketers from success? Learn about personalisation at scale and its…
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Customer Data Foundations: Evolution, Challenges, and Solutions
A deep dive into customer data foundations.
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7 Takeaways from the Fixing Customer Data Foundations Webinar
Steven Moriarty, Head of Customer Data and Insights at Crew Clothing, recently joined Plinc experts to discuss the power of fit-for-purpose data foundations…
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A Response to Gartner’s Magic Quadrant for Customer Data Platforms
Gartner’s recent Magic Quadrant for Customer Data Platforms (CDPs) is causing some drama – here’s our take.