How Booksy Cleaned Up Its Salesforce Data to Drive More Bookings

Booksy runs an online booking platform for beauty and wellness businesses, salons, barbershops, and tattoo studios use it to schedule appointments and manage clients. Getting real value from a tech stack takes more than choosing the right SaaS tool and implementing it well; it takes clean, connected data behind those tools. Booksy worked with Plauti, a Salesforce consulting partner, to clean up its customer data in Salesforce, build a single view of each customer, and use that view to run more effective marketing and increase bookings.

Booksy's Tech Stack

Booksy's site runs on HTML5, jQuery, and Google Analytics, and its team manages customer relationships through Salesforce. The number of tools in a stack matters less than how well they work together.

Aligning a tech stack with the customer lifecycle means every tool at each stage, from first booking through repeat visits, can see the same customer record. For Booksy, Salesforce is the system that holds that record: booking history, service preferences, and contact details all live there. That's what lets the team manage the rest of its tech stack as one connected system rather than a set of disconnected tools.

How Plauti Cleaned Up Booksy's Customer Data

Salesforce data is only useful if it's accurate. Booksy's customer records were spread across the systems in its tech stack, which produced duplicate entries for the same person and made it hard to see a complete picture of any one customer.

Plauti, a Salesforce consulting partner, worked with Booksy to consolidate those records into a single source of truth inside Salesforce. That gave every team the same view of each customer, including booking history, service preferences, and every other data point, instead of a partial view scattered across systems.

Cleaner Data Drove More Bookings and Revenue

Removing duplicate customer records let Booksy build a single, complete view of each customer, and the team put that view to work in two ways.

First, service matching improved. With one record per customer instead of several partial ones, Booksy could match each person to the right service provider based on their full booking history.

Second, marketing got more accurate. For one targeted email promotion, Booksy used Plauti to find and merge duplicate customer records first, so each customer received exactly one email instead of several. Tailoring that email's content to each customer's booking history and preferences drove a significant increase in bookings from the campaign, a result the team could measure by tracking the right metrics.

Keeping data this clean isn't a one-time project. Auditing the tech stack regularly and breaking down silos between Marketing, Sales, and Customer Success are what keep duplicate records from creeping back in. Booksy pairs that with data governance practices that keep its Salesforce org as the single source of truth for customer data.