# Three Buyer Profiles in Accounting Software (and How They Differ) > Source: > Published: 2026-06-24 00:00:00+00:00 Most AI-finance pitch decks have a version of the same slide: "~50,000 CPA practices in the US, plus tens of thousands of solo accountants" ([iPassTheCPAExam](https://ipassthecpaexam.com/number-of-cpa/)), rolled up into a "$200B accounting services market," sold via "per-seat SaaS to firms." The trouble is that "accounting firm" is not one buyer. Bench burned through capital selling cash-basis bookkeeping to solopreneurs and shut down in 2024 ([Steph's Books](https://stephsbooks.com/blog/bench-accounting-alternatives)); Pilot moved toward venture-backed startups precisely because the unit economics of "small-business owner" and "Series B CFO" don't match ([Sacra](https://sacra.com/c/pilot/)). Tools sold generically as "practice management for accounting firms" ([Canopy](https://www.getcanopy.com/blog/accounting-practice-management-software-guide/)) address firms spanning a 1000x range in revenue per partner, with different billing models and different decision-makers. This piece separates the universe into the three buyers the economics actually produce. *Disclosure: I'm building Artifi, an AI tooling layer for finance teams, so I have a stake in this market. The observations below come from selling into firms across all three profiles.* ## Profile A: independent small firms The biggest segment by count. 81% of AICPA MAP Survey respondents in 2025 were firms at or below $5M in revenue ([AICPA](https://www.aicpa-cima.com/news/article/cpa-firms-report-steady-growth-in-revenue-and-profit-aicpa-research-finds)). Most bill per client: a flat monthly fee for bookkeeping, an annual fee for the report, hourly for one-offs. That billing model creates a structural tension with automation. When revenue is bounded by client count rather than accountant productivity, making accountants more productive doesn't grow revenue — it exposes overstaffing, unless the firm can raise prices (hard for small practices) or add clients (which needs sales capacity these firms rarely have). I engaged three Estonian firms in this profile over the past year; each hit a different blocker — positioning, technical literacy, and the billing-model trap — and none could adopt. The detailed cases are the subject of a [separate piece on the innovator's dilemma](/blog/innovators-dilemma-accounting-ai). The pattern that matters here: in Profile A, the buyer's economics often penalize the efficiency the software provides. ## Profile B: big advisory firms A different shape entirely. The top 100 US firms generated over $100B combined in 2025 ([Accounting Today](https://www.accountingtoday.com/2025-top-100-firms)), Deloitte alone around $33B ([Inside Public Accounting](https://insidepublicaccounting.com/ipa-top-500-firms/)). These firms bill on value, carry a fast-growing advisory mix, and can monetize automation as more billable advisory hours rather than fewer accountants. They are also building at industrial scale. EY reports 1,000+ AI agents in production with plans to scale far higher and over $1B/year invested; PwC, KPMG, and Deloitte have their own platforms ([ChatFin summary](https://chatfin.ai/blog/big-4-ai-agents-ey-kpmg-deloitte-pwc-finance-teams-2026/)). For a vendor, the Big 4 are less a customer than a benchmark. The more reachable buyer is the band beneath — Top 25 to Top 200 firms. In one engagement with a Top-25 US firm, the objection was not staffing economics but integration surface area: whether the APIs would survive a security review and connect to NetSuite, Sage Intacct, and custom warehouses. The deal logic is standard enterprise SaaS — long cycle, legal and security review, custom connectors, partner buy-in — gated by integration, not by the firm's economics. ## Profile C: PE-backed rollups The newest shape, and the one fewest vendors target explicitly. Private equity has been consolidating accounting firms rapidly — the deal data and mechanics are covered in detail in [PE-backed accounting rollups](/blog/pe-backed-accounting-rollups). What matters for buyer segmentation is that the rollup inverts Profile A's blockers: - Profile A wouldn't automate because accountants would leave; the holdco treats reduced labor intensity as part of the plan. - Profile A wouldn't share its UI because the firm wants to be the interface; the holdco rebuilds the interface once across many portfolio firms. - Profile A's staff couldn't adopt the mental model; the holdco hires a centralized team that can. The deal shape differs accordingly: typically one decision-maker (a holdco CPTO or COO), one platform decision across N firms, an ACV that justifies real implementation, and a timeline measured in weeks because operational leverage is the investment thesis. It is also where the land-and-expand logic is strongest — a single workflow adopted at the holdco can widen across every firm in the portfolio. ## Different GTM, pricing, and product The three profiles tend to require different motions. **Profile A:** direct sales rarely pencils out for either side; where it's touched at all, it's usually through the white-label tooling of the platforms these firms already use, at low per-seat prices with self-serve onboarding. **Profile B:** enterprise sales on a 6–12 month cycle, landed via an innovation or partnership champion, priced on ACV with integration services, with a security review measured in quarters. **Profile C:** founder-led sales into the holdco, a shorter cycle when the value prop is clear, and platform-tier pricing structured so the holdco benefits as it acquires more firms — which assumes a multi-tenant management layer built early. The product surface differs too: Profile A leans on an embedded API, Profile B on an enterprise console with role-based access and SSO, Profile C on a tenant-of-tenants management plane with consolidated reporting. A single "one thing for everyone" build tends to fit none of them cleanly. ## What this means for each group **For vendors:** the data suggests pipeline is worth tagging by profile, because A, B, and C convert through different motions at very different ACVs; treating them as one funnel tends to mask why deals stall. **For independent firm partners:** the structural options that recur in this segment are consolidation (roll up or get rolled up) or repositioning around fixed-fee advisory — both covered more fully in the [innovator's dilemma piece](/blog/innovators-dilemma-accounting-ai). **For investors:** the fastest-growing capital base in the category sits in Profile C, while most vendor pipelines still skew to Profile A — a mismatch worth probing in diligence. ## The takeaway The single "accounting firm" buyer in the TAM slide doesn't really exist; the economics produce three. They differ on who decides, how value is billed, what integration is required, and whether automation helps or threatens the model. The distinction is less a marketing nicety than the thing that determines which motion works — and which segment quietly consumes sales effort without converting.