{"id":260855,"date":"2026-10-06T10:13:53","date_gmt":"2026-10-06T08:13:53","guid":{"rendered":"https:\/\/spotler.com\/?post_type=blog&p=260855"},"modified":"2026-10-06T10:16:48","modified_gmt":"2026-10-06T08:16:48","slug":"the-ai-influenced-customer-three-ways-to-improve-your-journeys","status":"publish","type":"blog","link":"https:\/\/spotler.com\/en-gb\/blog\/the-ai-influenced-customer-three-ways-to-improve-your-journeys","title":{"rendered":"The AI-influenced customer: three ways to improve your journeys"},"content":{"rendered":"

When did you last rethink your customer journeys, rather than just optimise them?<\/strong><\/p>\n

Customers can now use AI to research products, compare options and narrow down their choices before reaching your website. They may arrive with clearer expectations and less need for a broad introduction.<\/strong><\/p>\n

For marketers, the question is not just how to get found. It is how to make the next step feel relevant<\/a>.<\/p>\n

Here are three places to start.<\/p>\n

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1. Help visitors decide, rather than start again<\/strong><\/h2>\n

Imagine a runner researching trainers for their first marathon. An AI tool helps them explore their options, then they land on your product page.<\/p>\n

They may need reassurance, not another introduction. Make reviews, sizing information and returns details easy to find, so they can feel confident about their choice.<\/p>\n

Review your landing pages with this question in mind: are you helping someone take their next step, or asking them to repeat their research?<\/p>\n

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2. Make the second purchase follow naturally<\/strong><\/h2>\n

A first purchase gives you a starting point for the next conversation. Purchase history, browsing behaviour and recent clicks can all help shape more relevant follow-up recommendations.<\/p>\n

Our runner buys trainers, then browses socks and reads a care guide. A useful follow-up could recommend suitable socks or share product care advice, rather than immediately promoting another pair of trainers.<\/p>\n

Take a look at your post-purchase emails. Do they build on what each customer has shown interest in, or default to the same promotion for everyone?<\/p>\n

The aim is not simply to send another offer. It is to give the customer a clear reason to return.<\/p>\n

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3. Spot disengagement before the customer disappears<\/strong><\/h2>\n

Do you only review customer retention once someone has stopped buying? Changes in behaviour can help you spot someone drifting away before they fully disengage.<\/p>\n

Review changes in customer activity and buying frequency. Use those insights to group customers who may need attention, then test messages that reflect their interests and stage in the journey.<\/p>\n

For our runner, that could mean a helpful reminder around the expected trainer replacement window, rather than a late \u201cwe miss you\u201d email.<\/p>\n

Ask what would be useful at that moment. A reminder, some advice or a relevant recommendation could be a better starting point than another blanket promotion.<\/p>\n

Understand, act and improve<\/strong><\/h2>\n

Across all three journeys, use a simple approach: understand, act and improve<\/strong>. Read the available signals, adapt the next step, then measure what changes.<\/p>\n

You do not need to rebuild everything at once. Choose one journey, test one change and use the results to decide what to do next.<\/p>\n

Start with a practical question: what does this customer need from us now?<\/strong><\/p>\n

Discover how Spotler Activate<\/a> can help you turn customer data into more relevant, personalised journeys.<\/p>\n

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