You already know that acquiring a client is significantly more expensive than retaining one. And yet many businesses don’t realise a client is unhappy until the termination notice arrives.
The signals may already have been there – in the number or tone of support conversations, a shift in payment patterns, or the transcript of an annual review – but no person in the business actually connected the dots.
So how might mid-sized businesses use AI to recognise unhappy clients before it’s too late?
- Sentiment analysis. Mid-sized businesses can run meeting transcripts through AI to identify ‘sentiment triggers’ – perhaps when a client sounds more tentative than they did six months ago. AI can flag this subtle shift and escalate the issue to the right people.
- Early warning systems. CFOs can use AI to monitor payment trends. A sudden change in behaviour may signal waning interest – again, this can be escalated to someone senior enough to rescue the situation.
- Product coverage. Our clients are using AI to sift through large numbers of their engagements to make sure they frequently nurture and renew their existing relationships. Perhaps they need to re-assess which products and services they are providing; perhaps they need to reprice, cross-sell, or upsell. Often customers move on because a competitor provides something you could have – but didn’t.
What’s also interesting is that mid-sized businesses most likely already have the data they need for these insights. And it doesn’t require expensive investments in more products – it’s possible to find the ‘silent signals’ with tools already available in your Microsoft or Google ecosystem.
The upshot is that, once again, AI doesn’t replace humans. In this case, it can just help you to listen better to the needs of your clients.
If you’d like some help getting started on these insights – and other AI initiatives – we invite you to book an AI assessment for mid-sized businesses. It’s a half-day workshop that provides a clear picture of your readiness to take advantage of AI.
We’ll also be covering these topics and more in our webinar next month – watch your inbox for the invite. And in the meantime, we’re always happy to answer your questions; simply write me back, we’ll set up a no-pressure chat.