Straight answer
Benchmark lens
Compare response rate together with close rate, job value, and cost per lead
Useful sources
Check the original report, audience, year and definition of response
Cold prospect postcards
Typical 0.5% to 2% (about 1%), per DMA prospect-list data
Best next step
Use the ROI calculator to pressure-test conservative, base, and upside cases
Benchmark context
How to read them
What drives response
Personalization
Practical next step
It depends on the list, offer, creative, and tracking method. For mail to prospect (cold) lists, published surveys put typical response around 1%: the DMA Response Rate Report 2015 reported a 1.0% median for prospect lists, and its 2012 report put postcards to prospect lists at 1.12%. Mail to existing customers runs several times higher, so check which list a quoted figure describes. Treat any benchmark as a planning input, not a promise.
We have not found a verified home-services-specific benchmark. For cold prospect postcards, a 0.5% to 2% range (about 1%) is a reasonable planning band. There is no verified CurbMailers-wide response-rate benchmark yet, so measure your own qualified inquiries divided by mailed pieces, state the measurement window, and compare campaigns with similar audiences and offers.
Personalization may affect response, but CurbMailers does not assume a fixed lift. Compare similar audiences, offers and mailing windows, and measure qualified inquiries and campaign costs rather than scans alone.
Use trackable phone numbers, URLs, QR codes, or campaign-specific landing pages. A benchmark only matters if you can tie responses back to leads, sales conversations, and revenue.
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