Two Numbers Hiding Inside One Switching Statistic
PYMNTS Intelligence and Enigma’s Main Street Health Q3 2023 survey of 509 Main Street small businesses found 59% would switch payment processors for lower transaction fees, and, measured separately in the same study, 42% would switch for ease of use. Reported side by side, the two figures are direct evidence that “merchants who’d switch” isn’t one group with one motivation.
A merchant can plausibly sit in both camps, or in neither, but the survey’s own structure treats rate and ease-of-use as distinct enough to measure independently, which is the evidentiary basis for treating them as distinct enough to pitch differently.
What a Rate-Driven Switcher Is Actually Reacting To
Nearly every practitioner source in this niche frames a free analysis of a merchant’s current processing statement as the standard door-opener, with CCSalesPro publishing dedicated guides on obtaining a statement and building the opening pitch around it. That mechanic is built for exactly the 59% who say a lower fee would move them, since it produces a concrete number to react to.
A rate-driven merchant wants proof, not reassurance. The statement-analysis pitch works because it hands that merchant math they can check themselves against what they’re currently paying.
What a Service-Driven Switcher Actually Wants (Reasoning)
No source measures what specifically drives the 42% ease-of-use figure, so this section is reasoning, not a cited finding. A service-driven switcher is more plausibly responding to friction, a slow support line, a rep who never returns calls, a portal that’s confusing to use, none of which a rate comparison touches at all.
Handing that merchant a savings number and expecting it to land the same way it does for a rate-driven prospect misreads what they actually said they’d switch for. The pitch that works for this group has to demonstrate responsiveness before it demonstrates a rate.
Why Pitching Both the Same Way Undersells the Second Group
A statement-analysis-first approach, run identically on every prospect, is optimized for the 59% and largely silent for the 42% who never mentioned price as their reason at all. That’s not a flaw in the statement-analysis pitch itself, it’s a mismatch between a single-motion pitch and a two-motivation prospect pool the underlying data already shows exists.
Reading which motivation a given merchant is expressing, before deciding whether to open with savings math or with a responsiveness story, is the actual differentiator between the two pitches this piece argues for.
Reading Which Merchant You’re Actually Talking To
The tell is usually in how a merchant describes their current setup. Complaints about a specific dollar figure, an unexpected fee, a rate that crept up, point toward the rate-driven group. Complaints about being unable to reach anyone, or about a system that’s confusing to run day to day, point toward the ease-of-use group, regardless of what their current rate actually is.
Human + AI SDRs can qualify that distinction in the first SMS exchange, routing a rate-driven merchant toward a statement-analysis follow-up and a service-driven merchant toward a different conversation entirely, instead of running one script on both.
Sources
The external data in this article draws on the sources below. Figures described in the text as estimates or industry triangulations are directional and are not attributed to a single dataset.
- PYMNTS Intelligence + Enigma, Main Street Health Q3 2023
- ccsalespro.com, 3 Proven Methods to Obtain Statements for Analysis