Updated 6 Oct 2026: PulseSignal's living census has materially shifted since the September snapshot: the October 2 render now covers 3,846 monitored products, flat/platform is 36% rather than 41%, and the latest disclosed plan-level audit is 64/64 (100%).

Key details

  1. PulseSignal's October 2, 2026 snapshot monitors 3,846 SaaS companies.
  2. 1,865 companies with a numeric-priced paid plan enter the pricing-model shares.
  3. Flat / platform: 669 companies (36%).
  4. Pure Per-user: 431 companies (23%).
  5. Other per-unit: 235 companies (13%).
  6. Mixed: 206 companies (11%).
  7. Not labeled: 193 companies.
  8. Usage-based: 131 companies.
  9. 1,571 companies contribute to the USD entry-price analysis; the median remains $29/month.
  10. The latest disclosed weekly plan-level audit is 64 of 64 readings accurate (100%), dated September 27.
  11. The census measures observable public numeric pricing and excludes quote-only/free-only companies from model shares.

What builders should take away

  1. Use the current snapshot date whenever quoting a live pricing census; model shares can move materially within weeks.
  2. Benchmark against your category rather than treating the all-SaaS distribution as a universal pricing prescription.
  3. Treat the $29 median as an entry-price reference, not a pricing target or total-cost benchmark.
  4. Read denominators and classification rules before comparing public-pricing research with procurement or contract datasets.
  5. Verify direct competitors' current pricing pages before changing packaging even when a large census supports the broader pattern.

What changed

PulseSignal's living 2026 pricing census now renders an October 2 snapshot covering 3,846 monitored SaaS companies. Of those, 1,865 expose a numeric-priced paid plan and enter the model-share denominator. Flat / platform remains the largest classification at 669 companies (36%), followed by Per-user at 431 (23%), Other per-unit at 235 (13%) and Mixed at 206 (11%). The USD entry-price analysis now covers 1,571 companies and the median cheapest paid plan remains $29 per month. The latest disclosed weekly plan-level extraction audit, dated September 27, reports 64 of 64 sampled readings accurate against live vendor pages, or 100%.

Why it matters

The October refresh changes the exact headline numbers without overturning the useful conclusion. Pure per-seat pricing is still not the dominant observable public model, but flat/platform's share is now 36% rather than the September snapshot's 41%. For founders and buyers, that reinforces why a living dataset should be used for broad market structure and category comparison rather than frozen as a permanent percentage. The same methodological boundary remains: this is public numeric pricing, not negotiated contract data.

Flat/platform still leads, but its measured share is lower

Among 1,865 companies with a numeric paid plan in the October 2 snapshot, PulseSignal classifies 669 as Flat / platform (36%) and 431 as pure Per-user (23%). Other per-unit accounts for 235 companies (13%) and Mixed 206 (11%). The leadership ordering is intact, but the old 41% flat/platform figure is no longer current.

Usage and ambiguous models remain minority slices

PulseSignal now lists 131 companies as Usage-based and 193 as Not labeled. These categories remain much smaller than Flat / platform or Per-user under this public-pricing methodology, while quote-only and free-only products remain outside the model-share denominator.

The median public entry price is still $29

Across 1,571 companies contributing a qualifying cheapest paid USD plan, the median monthly-equivalent entry price remains $29. Current model-level medians include $39 for Flat / platform and $19 for Per-user and Mixed, illustrating why the pricing meter and the entry price answer different questions.

The latest disclosed extraction audit improved to 100%

PulseSignal says its September 27 weekly plan-level audit marked 64 of 64 sampled readings accurate against live vendor pages. That is a stronger quality signal than the previously disclosed 95% audit, but it still does not prove every company-level classification is correct.

Use the census as a moving benchmark, not a fixed statistic

The monitored corpus, priced-company denominator and classifications can move as vendor pages change and the extraction system refreshes. Builders should use the broad structure, category tables and vendor-linked records, then verify direct competitors individually before making pricing decisions.

What to watch next

  • Whether Flat / platform remains the largest classification as the living corpus changes.
  • Whether the extraction audit remains near the latest 100% sampled result.
  • Category-level shifts toward hybrid, usage-linked or outcome-oriented pricing.
  • Independent public-pricing datasets that reproduce or challenge the distribution.
  • Divergence between visible self-serve pricing and contract-level purchasing data.

Still unclear

  • PulseSignal is a pricing-monitoring vendor and the census is generated from its own automated extraction system.
  • A 100% result on one 64-reading plan-level audit does not guarantee every company-level model label is correct.
  • Only companies with readable numeric paid pricing enter the model-share denominator.
  • The living dataset changes between snapshots, so short-term count movement is not necessarily a structural market trend.
  • Public-pricing datasets and procurement datasets use different definitions and should be compared directionally rather than as interchangeable measurements.

Sources

Direct reading behind this dossier.

4 sources
How SaaS Is Priced: The 2026 Census
PulseSignal primary_dataset

Primary living census; October 2 render supplies the current corpus, model shares, entry-price medians and September 27 extraction audit.

The State of SaaS Pricing 2026
PulseSignal primary_dataset_summary

Companion PulseSignal analysis for interpretation of the living pricing dataset and category-level patterns.

SaaS pricing models
Vertice independent_procurement_data

Contrasting procurement-oriented pricing dataset.

Discussion

Discussion is reader-contributed. Comments are not part of the BTN dossier or its editorial evidence.

0 visible comments

Join the discussion

Keep comments useful and relevant. Reader contributions may be moderated and are not BTN editorial evidence.

Sign in to comment