Your inbox just delivered a stack of customer feedback — numbers, scales, paragraphs of free text, the lot. Where do you start? Qualitative or quantitative? Both have their place, and choosing wrong wastes the week. Here's the three critical differences, with examples, benefits, and where each shines.
![[Case Study] Revving up Customer Experience: FleetPartners Transforming at Speed](/_astro/fleetpartners-case-study-hero.ByqIaV9G.jpg)
FleetPartners restructured their CX delivery around real-time NPS data — and lifted both customer outcomes and employee engagement (10 out of 10) in the process. The head of CX and his manager walk through the moves that made it work: a CX Forum for governance, close-the-loop processes for action, and how CustomerGauge changed what was operationally possible.
Generative AI is already changing customer success — but the ethical groundwork is lagging the deployments. Data privacy, bias, transparency and human oversight aren't optional add-ons; without them, AI quietly erodes the customer trust it was supposed to build. Here's how to deploy generative AI in customer success responsibly.
![[Case Study] Transforming the Digital Frontier – CyberCX’s Successful Customer Experience Program](/_astro/cybercx-boardroom-illustration.IqPxX52W.png)
CyberCX was formed in 2019 by merging twelve Australian cybersecurity brands — and they built a serious CX program from scratch across the resulting structure. Two years in, it's adding measurable value. The COO and the NPS Program Manager share what worked: senior sponsorship that didn't waver, repeated communication, KPI discipline, and looking for what isn't there alongside what is.
Should NPS be reported by the date the survey went out, or the date the response came back? It feels like a small reporting decision — until the wrong choice quietly distorts your trend line for months. Here's the case for each side and why "received date" is usually the right answer.
New marketing automation platforms tempt you straight into yet another welcome series — yawn. The real wins are bigger and easier to copy than that. Here are concrete marketing automation examples drawn from 20 years of implementations: enrich prospect data, alert sales to important activity, personalise at scale, automate lead nurture with sales activity, and run account reviews on autopilot.