How to measure the effectiveness of retention campaigns?

ROI insights

For Australian SMEs, keeping existing customers is often more profitable than constantly chasing new ones. But how do we know if our retention campaigns – those emails, loyalty programs, or personalised offers – are actually working? It’s not enough to just *do* retention marketing; we need to rigorously measure its impact on business outcomes.

Many businesses focus on vanity metrics like email open rates. While useful, these don’t tell the whole story. We need to look at metrics that directly link retention efforts to revenue and profitability. Here are a few key areas to analyse:

  • Customer Lifetime Value (CLTV) uplift: This is arguably the most important metric. CLTV predicts the total revenue a customer will generate throughout their relationship with your business. A successful retention campaign should demonstrably increase CLTV – meaning customers are staying longer and spending more. We calculate this by looking at the CLTV of customers *before* and *after* campaign exposure.
  • Retention Rate Improvement: A simple, yet powerful indicator. What percentage of customers are remaining active over a specific period? We segment customers who received the retention campaign from those who didn’t, and compare their retention rates. A clear difference indicates success.
  • Churn Rate Reduction: The flip side of retention. Churn measures the rate at which customers stop doing business with you. A well-targeted campaign should lower churn, particularly amongst the customer segments it’s designed to protect.
  • Repeat Purchase Rate: Are customers coming back for more? This is especially relevant for businesses with frequent purchase cycles. We track the percentage of customers making repeat purchases within a defined timeframe, comparing those exposed to the campaign with a control group.

Don’t forget the importance of control groups. To accurately measure impact, we always compare the results of customers who received the retention campaign to a similar group who didn’t. This helps isolate the campaign’s effect from other factors that might influence customer behaviour. Investing in basic attribution modelling – understanding which touchpoints contribute to retention – will become increasingly important as customer data platforms mature in 2026 and beyond.

Ultimately, measuring retention campaign effectiveness isn’t about collecting data for data’s sake. It’s about understanding what resonates with your customers and optimising your strategies to build lasting relationships. Start by focusing on CLTV and retention rate, then build from there. The next step? Implement a simple A/B testing framework to continually refine your approach and maximise your return on investment.

The bottom line

Ready to grow?

×
Get your Free AI Marketing Audit
Find out if your website is ready for the AI revolution


    Thank you! We'll be in touch soon.