Practical writing for admins and consultants: deduplication, validation, routing, and the failure modes that only show up at scale.
A practical framework for CIOs, CTOs, and Salesforce admins deciding whether to build a custom data management tool or buy an established platform, covering cost, speed, security, and scale.
Data quality initiatives stall without leadership support. Here's how to build the business case, using a data leadership framework from MIT Sloan Management Review.
DataGroomr and Plauti both offer Salesforce address validation. This piece compares live validation, geocoding, and seat pricing, so ops and logistics teams can pick the right fit.
Plauti has refined its brand and values around one belief: trusted data leads to confident action, especially now that AI agents work directly with customer data.
Plauti's naming and interface are changing to reflect how Monitor, Clean, Prevent, and Act fit together. Nothing about the functionality you use every day is different.
Inaccurate CRM data quietly erodes every customer interaction it touches. Here is how data accuracy lifts CSAT scores, and the practices that keep records clean and reliable over time.
Bad CRM data costs more than reps realize: missed follow-ups, wasted time, and reports nobody trusts. This guide covers where those costs hit and a five-step plan to fix them in Salesforce.
Segmentation groups customers by shared traits; personalization tailors the message to each group. Together they raise satisfaction and conversion, but only if the underlying data holds up.
Booksy consolidated its customer records in Salesforce and removed duplicates, giving every team one view of each customer and lifting bookings from targeted campaigns.
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