How enriched data builds user trust in apps

What makes a transaction detail actually helpful? We’ve all been there — scrolling through our banking app, trying to figure out what that “GPAY*837GHSF” charge was. Was it lunch? A subscription? Something shady? That’s where insightful transaction data makes all the difference. Here’s what can be added to transaction detail thanks to transaction data enrichment: 🧾 Clean Merchant Name - Forget the messy "GPAY* 03948321" — show the real name customers recognize. 🖼 Merchant Logo - Visuals drive memory. A clean, recognizable logo builds trust and speeds up scanning. 📂 Accurate Category - Go beyond MCC codes. 1 MCC can be equal to 25 categories. Real categorisation reflects what was bought. 📍 GPS Location - Let users see where the purchase happened — not HQ of the e-commerce site or where merchant is registered. 🌐 Localised URL - A clickable, regional website link gives users more context (and support) right when they need it. 🔁 Subscription Tag - Flag recurring charges. No more wondering if that streaming fee was a one-off. 📍 Google Places ID - Ties the transaction to an exact business on Google Maps, reducing confusion. 🌱 CO₂ Insights - Add eco-tips, carbon footprint estimates — and make sustainability part of everyday finance. 📞 Merchant Phone Number - Empower users to reach out directly — no need to go searching. 🧾 Payment Gateway Identification - Flag transactions processed via Stripe, PayPal, etc., to avoid surprises and clarify indirect payments. When your bank gets these details right, it’s better interface but most importantly it’s peace of mind. Fewer support calls, better budgeting, more trust. It’s the small stuff that makes a big difference.

If a banking app shows a shopping mall instead of the actual merchant, it’s missing the point. A shopping mall tells you nothing. ☕ Starbucks? Coffee. 👕 Zara? Clothing. 🍔 McDonald's? Fast food. When transaction data is vague, users lose trust in their banking app. 🔴 Bad practice: Showing the mall name or, worse, just the payment gateway. ✅ Best practice: Show the real merchant, category, and even logo for instant recognition. For banks, this means: ⚡ Fewer disputes & support calls. ⚡ Higher engagement with the banking app. ⚡ Better insights for personal finance features. Your users don’t shop at malls. They shop at stores. Transaction data enrichment is the shortcut to accurate store-level identification. Let’s fix that.

99.9 % clean > 75 % “good enough.” Because one wrong transaction in 25 can break the whole experience. Inaccurate enrichment not only annoy users. It costs money 👇 • Mislabelled transactions → more chargebacks & disputes • Poor categories → irrelevant offers, broken CO₂ insights • Missing merchant info → lost trust & extra support tickets • Wrong profiles → bad product recommendations & wasted marketing spend Coverage ≠ quality. Many providers tout high % coverage, but if accuracy is low, “real coverage” drops fast. e.g.: 70 % coverage @ 99.99 % accuracy → only 0.1 % wrong (1/1000) 73 % coverage @ 95 % accuracy → 3.6 % wrong (36/1000) Which would you trust to power your UX and AI models? If your product depends on transaction data, proof of concept (PoC) is the best safeguard. Test real feeds, measure accuracy, and look beyond marketing claims, because clean data drives: ✅ higher campaign conversion ✅ fewer chatbot escalations ✅ better behavioural insights & recommendations Great UX starts with great data.