AI-Driven Personalisation: 2026’s Contextual Marketing Blueprint

AI-driven personalisation is happening now because it’s become a key differentiator in a crowded market. Companies like Salesforce and Adobe are investing heavily in AI-powered personalisation tools, and it’s paying off. For instance, brands using Salesforce’s Einstein platform have seen significant increases in customer engagement and sales. This trend differs from past cycles in that it’s no longer just about segmenting audiences, but about creating individualised experiences using predictive analytics and machine learning. Early adopters, such as Sephora and Netflix, have already seen significant benefits from implementing AI-driven personalisation, including increased customer loyalty and retention. On the other hand, laggards risk being left behind as consumers increasingly expect tailored experiences. To adopt AI-driven personalisation, marketers should follow a three-step framework: first, assess their current data infrastructure and identify areas for improvement; second, invest in AI-powered personalisation tools like those offered by SAP and Oracle; and third, continually test and refine their personalisation strategies. However, there are times when it’s okay to ignore this trend – if your brand has a very niche audience or doesn’t have the resources to invest in AI-powered personalisation. For more martech analysis, tools coverage and strategy guides, visit MartechXpert — your independent source for marketing technology insight. It’s also worth noting that AI-driven personalisation is not a one-size-fits-all solution, and what works for one brand may not work for another. Marketers need to be honest with themselves about their brand’s unique needs and challenges, and adjust their personalisation strategies accordingly. By doing so, they can create effective, contextual marketing campaigns that resonate with their target audience and drive real results.

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