Consumer electronics · D2C · CX Insights
Turning every customer conversation into a daily, department-ready insight feed.
Spotminders is a fast-growing D2C brand in the connected-accessories space, with a customer base that's vocal across every channel. The volume of feedback was the easy part – making sense of it was the hard part.
Client: Spotminders
At a glance
- Client – Spotminders – D2C tracking cards and Find My-compatible accessories
- Sector – D2C consumer electronics, connected accessories
- Engagement – CX Insights – AI-driven customer conversation intelligence platform
- Data sources – Zendesk (email, calls, chat) and Trustpilot – with Amazon and Facebook on the roadmap
- Coverage – Five tailored department views: Overall Experience, Creative, Marketing, Product, Support
- Cadence – Daily and weekly briefings, delivered via Slack, Teams or the CX Data app
The starting point
Three challenges came up consistently with Ana and the wider Spotminders team:
- No realistic way to synthesise the full body of customer feedback. The team could tag a ticket; they couldn’t answer “what are customers telling us this week, across everything?”
- Different departments needed different lenses – Creative, Marketing, Product and Support each had their own questions. A single dashboard couldn’t serve all four well.
- Emerging trends and root causes were hard to surface in real time. Patterns only became visible once they’d already grown, and identifying the root cause vs the surface complaint was largely manual.
The brief: a daily, AI-driven intelligence layer over every customer conversation, tailored to how each Spotminders department actually works.
Inside the platform
- Overall Experience – daily and weekly company-level read of what happened, what needs awareness, emerging issues and recommended actions.
- Creative – customer stories, customer-language goldmines, what customers love, and how they describe competitors. Built to feed campaigns directly.
- Marketing – Competitor Watch, Pricing Pulse, campaign and ad feedback, purchase triggers, and leave drivers.
- Product – product health at SKU level, severity-tagged complaints with root cause, feature requests, and a quality table flagging systemic vs isolated issues.
- Support – top issues with movement vs baseline, early warnings, root-cause breakdown, onboarding friction, and an escalation watch for legal threats and high-churn-risk tickets.
What we delivered
CX Insights classifies every customer conversation across 20+ fields – including sentiment, churn risk, root cause, competitor mentions, purchase stage and severity – and pushes department-specific daily and weekly briefings into Slack, Teams or the CX Data app.
| What Spotminders wanted | What they had | How CX Data solved it |
|---|---|---|
| A continuous read on what customers are saying – with the signal pulled out automatically. | Thousands of tickets, calls, chats and reviews each week. The best the team could do was tag tickets by issue. | CX Insights ingests every customer conversation and classifies it by topic, sentiment, severity and root cause – turning unstructured feedback into a structured, queryable layer. |
| Insights tailored to how each department actually works – not one dashboard for everyone. | A single, generic view that didn’t speak to Creative, Marketing, Product or Support in their own language. | Five department-specific views, each surfacing the cuts and signals that team needs to act, with the underlying data model engineered to support them. |
| Pre-purchase prospect voice separated from post-purchase support noise. | Pricing, competitor and objection signals were polluted by support tickets, masking real prospect intent. | Added a purchase-stage classification field. Pricing Pulse, Competitor Watch and Objections now show pre-purchase signals only – cutting Pricing Pulse from 264 noisy tickets to 16 clean ones. |
| Emerging trends and systemic root causes surfaced automatically – the why, not just the what. | Patterns only became visible weeks after the underlying behaviour started – by which point the issue had already escalated. | Every conversation tagged with a root cause as it’s ingested. Emerging issues are flagged the moment they exceed baseline, and high-risk tickets – legal threats, churn risk, escalation intent – are surfaced the same day. |
In their words
“This is gold – exactly how AI should be used. It’s such a simple use case, and yet it’s something humans were never able to do well at scale. The best we were ever able to do was tag a ticket with a particular issue – we were never good at synthesising the full body of customer feedback into something we could actually act on.
CX Insights changed that. Every conversation is read, classified and synthesised every day, and the platform pushes the right signal to the right team. Just as importantly, it tells us why issues are happening, not just what is happening.
What stands out is how responsive CX Data have been. When we flagged that pricing was being polluted by shipping and billing complaints, they shipped a full classification audit and tightened the rules – Pricing Pulse went from 264 noisy tickets to 16 clean ones. They operate as an extension of our team, not as a vendor we wait on.
We now have a daily, structured read on the voice of our customer that we couldn’t have built in-house. It’s genuinely the most useful application of AI I’ve seen in a CX function.”
Ana, Customer Experience Lead, Spotminders
“CX Data built us our own home for all our numbers – and once you can see everything in one place, you start understanding your business on a completely different level. You stop making decisions on gut feeling and start making them on data.”
Karl Toom, Founder & CEO, Spotminders
Outcomes
- Significant time savings on the work that previously soaked up the team – weekly synthesis that took 4–6 hours of manual reading is now automated, and pulling supporting customer quotes for campaigns or reviews is instant rather than a 2–3 hour search.
- Pre-purchase and post-purchase separation now embedded in the data model, giving Marketing and Creative a clean prospect view for the first time.
- Five department-specific views in production – Creative, Marketing, Product, Support and an Overall Experience view at company level – each tailored to the questions that team actually needs to answer.
Looking ahead
With four department views live and the daily briefing in production, the next phase extends the data estate – bringing Amazon product reviews and Facebook comments into the same classification pipeline – alongside continued refinement of the AI classification model as the platform learns more of Spotminders' commercial context. CX Data continues to operate as Spotminders' extended insight team – a long-term partner aligned to how the brand uses the voice of the customer to grow.
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