Intuit: AI Personalisation is Revolutionising Ecommerce

Consumer demand for tailored shopping experiences is reshaping how brands approach campaign strategy and customer engagement. Data from Intuit Mailchimp points to a fundamental change in how shoppers expect to interact with products and marketing content.

According to Intuit Mailchimp, which surveyed 1,500 UK consumers, 48% of respondents believe that data-driven technology and audience segmentation could soon eliminate the need for active product searches. This expectation rises to 72% among 18 to 34 year olds, signalling a generational shift in purchasing behaviour.

The findings suggest marketing teams need to rethink their approach to customer acquisition. Consumers want to be found by products rather than search for them, placing greater emphasis on targeting accuracy and brand discovery mechanisms.

Campaign strategies shift priorities

Marketing communications are adapting to meet these new expectations. According to the research, 60% of consumers welcome increased personalisation in their shopping experiences.

Jim Rudall, Head of EMEA at Intuit Mailchimp, says: "The latest iterations of social media algorithms focus on discovery, and the data we're seeing here may explain why. Shoppers want to be targeted with things they may want to purchase, allowing them to fortuitously stumble upon new brands and products that align with their desires."

The data suggests that discovery-led marketing could become the dominant approach for reaching consumers. Brands that rely on traditional search-based strategies may need to shift resources towards algorithmic targeting and content that surfaces through recommendation engines.

One in four shoppers want to see more personalised brand marketing campaigns, according to Intuit Mailchimp. This requires marketing departments to build communications around lifestyle aspirations rather than product features alone.

Data exchange demands clear value

Consumer attitudes towards data sharing reveal a complex relationship between personalisation and privacy concerns. According to the research, 62% of respondents indicated they require more tangible value from brands in exchange for their personal data.

This presents challenges for marketers who rely on customer data to fuel targeting strategies. Brands need to articulate the specific benefits consumers receive from sharing information.

The acceptance of AI in marketing content is growing, with 65% of consumers comfortable with at least some AI involvement in brand communications. However, 80% of British shoppers require assurances from brands regarding responsible data usage, according to the study.

Brand image hinges on trust

The research suggests that consumer trust depends on how brands handle personal information. Marketing leaders face the task of demonstrating ethical data practices while using that same data to create personalised experiences.

Jim says: "It's not just about product recommendations: nearly one in four shoppers want to see more personalised brand marketing campaigns, too. With this in mind, marketers must be prepared to build communications not only around the products consumers want, but the lives they want to live."

This requires brand positioning to evolve beyond product attributes. Campaigns need to reflect consumer identity and aspirations to meet the personalisation standards that shoppers now expect.

The balance between data utility and privacy protection could become a competitive differentiator. Brands that communicate their data practices clearly may gain advantage over competitors who treat data governance as a compliance issue rather than a marketing asset.