Every transactional customer feedback program looks rosy on day one and runs into the same six problems by month three, patchy customer data, soft staff buy-in, customer communication, cross-functional friction, change resistance, and target-setting. Here are the six, plus the fix for each. None of them is a reason to delay starting.
Best-practice NPS implementations aren't really about the survey, they're about the change management around the survey. CCH Australia paired its transactional NPS rollout with a serious internal engagement program, including a video that's worth borrowing. Here's the case study, plus the change-management moves that decided whether NPS took root or quietly stalled.
Inbound marketing has been driving traffic and leads for over a decade, but converting an outbound-shaped marketing team into an inbound-shaped one isn't a switch, it's a gradual rebuild. Here's how to make the conversion: start with the buyer persona, chart the buyer's journey, map it to a funnel, then build the blog and gated content that feeds it.
Voice-of-the-Customer practitioners complain that management doesn't fund VoC, then list "collect more data" as their top priority and rank "make changes to the business" dead last. That's why management doesn't fund it. Here's how to demonstrate the ROI of a customer feedback program the way marketers demonstrate the ROI of campaigns, and stop perpetuating the data-collection-only myth.
"If you don't give us a 9 or 10 it means we have failed." That's score-begging at a hotel checkout, and it's the visible symptom of badly set frontline NPS targets. Skip the targets entirely and NPS gets treated as the soft metric. Here's how to give frontline staff NPS targets without breaking the survey, covering punitive use, gaming, data variability, and line of sight.
Is the NPS scale a Likert scale? It's a question that comes up in survey-design arguments more often than you'd think, and the answer matters for how you analyse the data. Here's the short version, with the bit most articles get wrong.
