Lapsed-customer benchmarks matter when brands are trying to reactivate people who once bought, subscribed, or engaged but have now fallen outside a healthy recency window. Reactivation rate, cost per reactivated customer, repeat purchase lift, and recovered revenue quality.
Use these labeled KPIs together instead of judging lapsed customer performance from one headline number. Conversion-sensitive metrics update when you change the conversion type above.
| Metric | Median | Top Quartile | What It Tells You |
|---|---|---|---|
| CTR | 2.4% | 4.1% | Creative and message-to-audience fit |
| CPC | $2.80 | $1.65 | Click acquisition efficiency |
| CVR | 3.4% | 6.2% | Landing-page and offer effectiveness |
| CPA | $82 | $45 | Cost to generate the selected conversion |
| CPM | $12.40 | $7.80 | Auction pressure and reach efficiency |
| ROAS | 3.1x | 5.2x | Revenue efficiency where purchase value is tracked |
Reactivation rate, cost per reactivated customer, repeat purchase lift, and recovered revenue quality. Benchmarks should be interpreted with contextual commentary, not as standalone averages.
| Audience | Average | Median | Top Quartile | Bottom Quartile |
|---|---|---|---|---|
| Lapsed Customer | 2.9% | 2.2% | 4.8% | 0.9% |
These are the main drivers that typically explain why the same headline metric changes across channels, industries, and conversion contexts.
| Factor | Why It Matters |
|---|---|
| Dormancy window and how stale the customer relationship is | Changes how reactivation rate, cost per reactivated customer, repeat purchase lift, and recovered revenue quality. |
| Offer relevance relative to prior purchase or product usage | Changes how reactivation rate, cost per reactivated customer, repeat purchase lift, and recovered revenue quality. |
| Channel recency limits and list freshness | Changes how reactivation rate, cost per reactivated customer, repeat purchase lift, and recovered revenue quality. |
Lapsed-customer benchmarks matter when brands are trying to reactivate people who once bought, subscribed, or engaged but have now fallen outside a healthy recency window.
Lapsed-customer audiences often look cheaper than cold acquisition, but the real benchmark question is whether the campaign restores durable value instead of just buying one discounted return action.
Lapsed-customer audiences often look cheaper than cold acquisition, but the real benchmark question is whether the campaign restores durable value instead of just buying one discounted return action.
Lapsed-customer audiences often look cheaper than cold acquisition, but the real benchmark question is whether the campaign restores durable value instead of just buying one discounted return action.
The Benchmarketing 4-Band Method. The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Where the numbers come from. The figures on this page come from the Benchmarketing benchmark dataset — thousands of curated benchmark observations across channels, industries, and US metro areas. Every statistic traces to a named source: WordStream Google Ads Benchmarks (2024), Meta Business Insights (2024), HubSpot Email Marketing Report (2024), Unbounce Conversion Benchmark Report (2024), Databox Marketing Benchmark Report (2024), Benchmarketing Platform Data (2023–2024). Benchmarketing does not publish anonymous "studies show" figures.
The Benchmarketing position. Beating the cross-industry average is a vanity milestone, not a target. Compare your number to the P25–P75 band for your specific industry and channel; if you are above average but below your industry's P75, you are leaving performance on the table.
They have their own benchmarks because they behave differently from active customers, cold audiences, and generic retargeting pools.
Use reactivation rate, cost efficiency, and downstream retained value together so short-lived discount spikes do not look healthier than they are.