The glossary
Client Retention
Client retention is the ability of a salon to keep existing clients returning regularly over time, typically measured as the percentage of clients from one period who return in a subsequent period.
Client retention is the percentage of clients who visited your salon in a given period and returned within a defined subsequent period. For example, if 100 clients visited in January and 68 of them booked again within 90 days, your 90-day retention rate is 68%.
Retention is arguably the most important business metric for a salon. Acquiring a new client costs significantly more — in time, marketing spend, and discounts — than retaining an existing one. A client who returns every 6 to 8 weeks and spends $150 per visit is worth $975 to $1,200 per year. Losing that client costs the equivalent of acquiring a new one and then building the same relationship.
The drivers of poor retention are not always obvious. Some are in the salon's control — a bad experience, an inconsistent result, a booking process that is too difficult. Others are external — the client moved, changed jobs, or found a salon closer to their new workplace. Identifying which category your lapsed clients fall into requires looking at patterns, not just individual cases.
Effective retention strategies include: making rebooking easy at checkout, sending timely reminders and rebooking nudges, recognising loyal clients in personalised communications, and running win-back campaigns for clients who have lapsed before they are completely lost.
On OpenChair, retention is supported through the Engage hub — automated rebooking nudges, birthday messages, and the Reconnect win-back sequence for lapsed clients. The Intelligence dashboard surfaces clients at risk of lapsing, so you can act before they have already left.
See it in OpenChair
Marketing AutomationCommon questions
What is a good client retention rate for a salon?
Retention benchmarks vary by measurement period and service type. A common benchmark is 12-month retention of 60% to 70% for a well-run salon — meaning at least 60% of clients who visited last year also visited this year. Higher-frequency services (cuts, nail appointments) tend to have higher retention potential than lower-frequency services (colour, extensions).
How can I identify clients who are at risk of lapsing?
The simplest signal is time since last visit relative to the client's typical visit interval. A client who usually comes every 5 weeks and has not booked in 10 weeks is showing a lapse signal. On OpenChair, you can set up Reconnect automations that trigger when a client exceeds their typical gap — sending a personalised message before they are fully gone.