DEV Community: RealCostLabs

SaaS pricing is a step function, not a price: 3 ways the obvious data model is wrong

RealCostLabs — Sat, 29 Aug 2026 14:30:01 +0000

I spent a while building a calculator that prices 20 marketing tools at whatever scale you type in. The UI was the easy part. The hard part was discovering that the thing I was trying to model does not have the shape everybody assumes it has.

Almost every pricing comparison you have ever read — including the ones I wrote before this — treats a SaaS plan as a number. Mailchimp: $13. That number is a lie of omission in at least three separate ways, and each one is a data-modelling problem before it is a consumer problem.

Here is what I got wrong, and the schema I ended up with.

1. It is a step function, not a rate

The instinct is cost = rate × units. Linear. Interpolatable. Easy to put in a table.

It is not linear. It is a staircase, and the interesting part is the height of the steps.

Klaviyo's ladder runs $20 at 500 profiles, $45 at 1,500, $100 at 5,000, $150 at 10,000 — then $225 at 11,500. Fifteen per cent more contacts, fifty per cent more bill. At roughly 13,000 profiles you are paying about double the 10,000 price.

If you model this as a rate, you will interpolate straight through the most expensive thing in the dataset. The step is not noise around a trend line. The step is the pricing strategy: put the discontinuity exactly where a growing customer is most committed and least likely to migrate. The full ladder.

The correct evaluation is a bisect over sorted breakpoints, not a multiply. Obvious once you say it out loud, and absent from essentially every comparison table on the internet.

2. Every tool meters a different quantity

This is the one that broke my first schema.

I wanted a column called contacts so I could compare eight email tools at 10,000 contacts. But the tools are not counting the same thing.

Brevo bills on emails sent. Its position on that chart depends entirely on how often you send. Assume 4 sends a month and it is cheapest by a distance; assume daily sends and it is not.
Klaviyo bills on profiles stored — including people who have never opened anything and never will.
Mailchimp bills on contacts you have not manually archived, which means unsubscribed and bounced addresses stay on the meter until you go and remove them, and the same person in two audiences counts twice. Details.
MailerLite and Kit bill on subscribers.

So "10,000 contacts" is not an input. It is a workload assumption that has to be projected onto each tool's own meter, and that projection is a modelling choice you are obliged to expose rather than bury.

You can tell an honest calculator by whether it has a footnote. Mine does: "Brevo bills by emails sent (assumes ~4 sends/mo)." That sentence is not a disclaimer, it is a load-bearing part of the result. Every calculator without one is either hiding an assumption or is wrong.

3. Some meters are not a function of your size at all

Ahrefs bills report generation against a credit allowance. Exports, deep crawls, large reports — same pool.

This one genuinely does not fit the schema, and I want to be straight about that rather than fake a number. Seats and contacts are properties of you: I can ask how many you have. Credits are a property of how hard you work in a given month. Two identical companies on identical plans get different bills because one of them onboarded a client in March.

The practical consequence for a user is "price the tier your busiest month needs, not your average month." The consequence for the model is that credit-metered tools get a range and an explicit caveat, not a point estimate. Why the credit meter is the real price.

The schema I ended up with

// What almost every comparison table assumes
type Naive = { tool: string; pricePerMonth: number }

// What the data actually is
type Tier = { upTo: number; monthly: number }   // a step, not a slope

type Plan = {
  tool: string
  meter: 'contacts' | 'profiles_stored' | 'emails_sent' | 'seats' | 'credits'
  countsInactive: boolean    // Mailchimp: true. Klaviyo: true. Not a footnote.
  dedupesAcrossLists: boolean // Mailchimp: false.
  tiers: Tier[]              // evaluate by bisect
  seatsIncluded: number      // Semrush ships exactly 1
  extraSeatMonthly?: number  // +$80 on Guru, +$100 on Business
  monthlyMultiplier: number  // 1.19 Semrush, 1.71 Pipedrive, 2.11 Close
  predictable: boolean       // false for credit meters — return a range
}

const costAt = (p: Plan, units: number) =>
  p.tiers.find(t => units <= t.upTo)?.monthly ?? Infinity

Four fields in there (meter, countsInactive, seatsIncluded, predictable) exist purely because the naive model is wrong, and every one of them corresponds to a real invoice somebody did not expect.

The billing period is a multiplier, not a discount

One more field worth its own paragraph. "Save 20% with annual billing" is framing. The number that matters is the inverse: what the flexible option costs.

Across the tools I priced, monthly billing runs an average 44% premium over annual. And the premium is steepest at the cheap end — Close charges 111%, Pipedrive 71%, Mangools 64%. The tools a small business can actually afford are the ones that punish month-to-month hardest, which is precisely backwards from who can absorb an annual commitment. Full dataset.

Store it as a multiplier on the tier price, not as a discount on the annual one. The direction you store it in is the direction your readers will think in.

An aside that annoyed me

While checking what already ranks for "email marketing roi calculator", I looked at the top ten results. Eight of them are companies that sell email software or email services.

That is not a scandal — vendors build good tools and they have the data. But it does mean that almost every calculator a buyer finds is built by someone with a position on the answer. If you are going to build one, that is the gap, and it costs you nothing but the discipline of publishing your assumptions.

If you build one

Model tiers as breakpoints and evaluate by bisect. Never interpolate between them. The discontinuities are the product.
Store the meter as a field, not as an assumption. The moment two rows in your table count different things, a single scalar comparison is invalid and your UI has to say so.
Publish the workload. "10,000 contacts, 4 sends a month, 3 seats" is a result. "10,000 contacts" is not.
Give unpredictable meters a range. A point estimate for a credit-metered tool is a confident wrong answer, which is worse than a hedged right one.
Version your prices with a date. Everything above is mid-2026 and some of it is already stale. A price without a timestamp is a claim you cannot defend.

The reason none of this shows up in normal pricing pages is not that it is hard. It is that the naive model flatters the seller, and the accurate one takes a footnote to explain.

I run RealCostLabs, where I rebuild SaaS pricing from published rate cards and price it at usage levels real businesses actually hit. Figures above are from published rate cards in mid-2026; vendors change prices, so check before you buy.

G2 says 4.5, Trustpilot says 1.8: what the SaaS ratings gap actually measures

RealCostLabs — Sat, 29 Aug 2026 14:05:37 +0000

Every tool you are about to buy has two review scores, and they do not agree.

Ahrefs is 4.5 on G2 and 1.8 on Trustpilot. Semrush is 4.5 and 2.0. Klaviyo is 4.6 and under 2. Mailchimp is 4.4 and around 2.

I kept running into this while pricing 20+ marketing tools from their published rate cards, so I went and checked all four properly. The gap is not noise, and it is not the two crowds disagreeing about whether the product is good. They are answering different questions, and once you know which question each site is answering, the gap becomes the single most useful thing on either page.

The numbers

Tool	G2	Capterra	Trustpilot	G2 − Trustpilot
Ahrefs	4.5 (675)	4.7 (583)	1.8 (306)	2.7
Klaviyo	4.6 (1,361)	4.6 (537)	under 2 (367)	~3
Semrush	4.5 (3,434)	4.6 (2,318)	2.0	2.5
Mailchimp	4.4 (12,885)	4.5 (17,626)	~2	~2.4

Review counts in brackets. Scores read from each platform in mid-2026.

Four products, four different companies, two different categories — SEO tooling and email — and the same 2.4-to-3-point spread every time. A pattern that consistent is structural, not a run of bad luck.

What each site is actually asking

The two populations are selected differently, and they are asked different questions at different moments.

G2 and Capterra ask "does this tool do the job?" The reviewer is usually mid-evaluation or recently onboarded. They are rating capability, interface, and fit against the alternatives they just compared. Many arrive through a vendor's own review campaign, gift card attached. Nobody in that flow has yet had the experience of a renewal invoice arriving 60% higher than the number they budgeted.

Trustpilot asks "would you recommend this company?" Almost nobody visits Trustpilot mid-evaluation. People go there after something happened to them, and in SaaS that something is nearly always billing: a trial that auto-converted, a plan that jumped a tier, a cancellation flow that took three emails. The population is self-selected and skews negative — that is true across every category on the site, not just software.

So the ratings gap is not the product score minus the product score. It is the capability score minus the billing score. And that framing makes it testable.

The gap tracks the pricing model

If the gap really is a billing signal, then the tools with the widest gaps should be the ones whose real cost is least visible during evaluation. That is exactly what I found — each of these four has a pricing mechanic that does not appear in the comparison table you used to decide.

Ahrefs — the credit meter. Reports, exports, and deep crawls all draw down one credit pool. Seat pricing is predictable because you know how many people you have; credit pricing moves with how hard you work, so a busy month costs more precisely when you are busiest. There is also no free trial in 2026, so you pay a full month before you learn any of this. Advertised entry $29, realistic working plan $129 — a 4.4× multiple. Full breakdown.

Semrush — seats are not included. Every plan ships with exactly one. A three-person team on Guru pays $249.95 plus two seats at $80, so $409.95 a month: 64% above the advertised plan price for the same plan. The Pro-to-Guru step is itself a 78.6% increase, the steepest tier transition in the category, and Pro is deliberately incomplete for professional work.

Klaviyo — billed on stored profiles. Not sends, not engaged subscribers. Every abandoned signup and every one-time customer from 2023 is on the meter monthly. Going from 10,000 to 11,500 profiles — 15% more people — takes the bill from $150 to $225. That is a 50% increase for 15% more list, and it lands exactly where a successful small store ends up. The cliff, charted.

Mailchimp — the contact count includes people who will never open an email. Unsubscribed and bounced records stay billable until you manually archive them, and the same person in two audiences is billed twice. Advertised $13, realistic $135 — 5.2×. Details.

Four wide gaps, four pricing mechanics that are invisible at evaluation time and unavoidable on an invoice. The correlation is the finding.

Where this sits in the wider data

This is not confined to four tools. Across 13 tools with a paid entry tier, the plan you realistically end up on costs 3.9× the advertised entry price — median 3.3×, with Close at 11× ($9 to $99). Monthly billing carries an average 44% premium over annual, and the premium is steepest at the cheap end, where Close charges 111% and Pipedrive 71%. Only 4 of 17 tools have a genuinely usable free tier. Full dataset and method.

A category that routinely prices at 3.9× its own headline number is a category that will generate a 2.5-point ratings gap. The two facts are the same fact.

The honest caveats

I would rather you trust the framing than the decimal places, so:

Trustpilot is self-selected and negative-skewed everywhere. A 1.8 does not mean 1.8 out of every 5 customers is happy. Use it as a signal about what kind of complaint clusters, not as a satisfaction rate.
Sample sizes are wildly unequal. Mailchimp has 12,885 G2 reviews against a few hundred on Trustpilot for some of these tools. Do not read small-n scores as precise.
G2 and Capterra run vendor-incentivised review programmes. That is not fraud, but it does mean the population is partly recruited by the vendor at its happiest moment.
Two of the four Trustpilot figures are approximate — hence under 2 and ~2 rather than fake decimals.

None of that dissolves a 2.5-point spread appearing four times in a row.

How to actually use this

The practical version is short:

Read G2 for capability and Trustpilot for billing. Stop treating them as competing estimates of the same quantity. They are two different instruments.
Read the Trustpilot 1-star reviews specifically, and only for mechanism. Ignore the tone; extract the mechanic. "Auto-renewed after the trial", "charged for contacts I deleted", "ran out of credits" — those are pricing-model facts you can verify on the rate card before you buy.
Price the tier above the one you think you need, plus a seat for everyone who will log in. That is the number the Trustpilot reviewers were surprised by.
Treat a large gap as a to-do, not a veto. Ahrefs' index is genuinely the best available and Klaviyo's segmentation is genuinely ahead of the field. A wide gap does not mean "bad product". It means "read the billing terms before the trial converts". Set a calendar reminder for day six of any seven-day trial and most of what the low score is made of never happens to you.

The gap is the most honest number on either review site. It just is not the number either site is trying to show you.

I run RealCostLabs, where I rebuild SaaS pricing from published rate cards and price it at usage levels real businesses actually hit. All figures above are from published rate cards and public review platforms in mid-2026; vendors change prices, so check before you buy.

SEO tool pricing is designed to be misread — SE Ranking's "$103.20/mo" decoded line by line

RealCostLabs — Sat, 29 Aug 2026 13:11:06 +0000

SaaS pricing pages have a grammar of their own, and SEO tools speak the dialect fluently. We verified SE Ranking's 2026 pricing directly on seranking.com in August and it makes a useful case study, because none of its tricks are unique to it — you will find every one of them on Semrush's and Ahrefs' pages too.

What the page says

Three tiers, "SEO + GEO" positioning (classic search plus generative-engine tracking), with AI-prompt quotas and API/MCP credits included:

Plan	Monthly	Annual (per mo)	Headline limits
Core	$129	$103.20	10 projects, 1 seat, 2,000 keywords, 100 AI prompts/day, 25K API credits
Growth	$279	$223.20	30 projects, 3 seats, 5,000 keywords, 250 AI prompts/day, 100K API credits
Enterprise	Custom	Custom	Negotiated

The annual discount is a flat 20%. At entry level that is roughly half of what a comparable all-in-one suite from Semrush costs, which is why the tool wins on value in most 2026 comparisons.

What the page says quietly

"$103.20 per month" is not a monthly payment. Annual plans are billed upfront in full — that line is a $1,238.40 charge on day one. A quarterly schedule exists but only through sales, on an annual commitment. This phrasing pattern ("per month, billed annually") is the single most common misread in SaaS budgeting, and it is doing heavy lifting on almost every SEO tool's pricing page.

One seat means one session. Only one active session per login is allowed, so a team cannot quietly share a Core seat. Extra people = extra paid seats or view-only guest links. Seat-sharing enforcement is quietly becoming standard across the category.

The realistic bill has add-ons in it. Extra seats, extra keyword quota, AI Search tracking, agency tools and API access are all separate line items. A realistic working setup lands between $140 and $330 per month — up to 3x the number you anchored on.

The general rule

For any SEO tool: multiply the advertised annual per-month price by 12 (that is your actual day-one cash out), then add the add-ons your workflow needs, then compare tools at that number. The entry sticker exists to win the comparison table, not to describe your bill.

The full line-by-line breakdown — every plan, every add-on, EU pricing (€109/€87.20), and the renewal math — is in our SE Ranking pricing breakdown, with the hands-on evaluation in the SE Ranking review. How it stacks against the rest of the category: best SEO software 2026.

Data: RealCostLabs, verified on seranking.com August 2026. USD; EU customers see euro pricing.

The CRM sticker price is a teaser: what 8 CRMs actually cost at 1, 10, and 50 seats

RealCostLabs — Sat, 29 Aug 2026 13:08:32 +0000

Every CRM pricing page leads with the same move: a per-seat number that almost nobody ends up paying. We spent June fact-checking the 2026 pricing of the major CRMs against their official pages plus at least two independent sources each, and the pattern is consistent enough to write down as a rule.

The three bands

CRM list prices in 2026 fall into three predictable bands (per user/month, annual billing):

Tier	Price band	Who it fits
Entry	~$15-25	Solo operators, small teams: contacts, deals, a pipeline
Mid	~$50-70	Teams that need automation, reporting, integrations
Enterprise	$150-550	Custom workflows, governance, heavy customization

The verified per-tool numbers (entry → mid → top, per user/month annual):

Zoho CRM — $14 → $23 → $52
Pipedrive — $14 → $59 → $79
monday CRM — $15 → $33 → quote
Freshsales — $9 → $39 → $59
Close — $9 → $99+

Notice the shape: entry tiers are clustered within a few dollars of each other, and the real differentiation — the pricing that actually decides your bill — happens at the mid tier, where the spread is $23 to $99 for roughly the same promise ("automation and reporting").

Why the sticker is not the bill

Three mechanics inflate the entry price, all of them legal, all of them in the fine print:

Annual prepayment. "$14/user/mo" is billed as one upfront charge. Monthly billing is typically 20-40% more.
The feature you came for lives one tier up. Email automation, lead scoring and e-sign are almost never on the entry tier. If your workflow needs one of them, your comparison price is the mid tier — where the spread is 4x.
Implementation. First-year implementation (migration, training, integrations, mandatory onboarding fees) commonly runs 0.5-3x the annual license. This is how a "$25 per seat" CRM becomes a six-figure year-one line for a 50-seat org.

The math that matters

Price your shortlist at the tier that contains your must-have feature, times realistic seats, times 12, plus an implementation estimate. Do not price the entry tier — you will not be on it in six months.

We keep the full verified table (all vendors, all tiers, plus the traps each pricing page hides) updated in our CRM software cost guide, and if you want renewal prices at your exact team size rather than signup teasers, the Real Cost calculator prices 20 tools in one view.

Data: RealCostLabs, verified June-August 2026 against vendor pricing pages. Prices change often — Salesforce raised Enterprise ~6% in August 2025, Pipedrive collapsed five tiers to four — so verify live before you sign.

The entry price is not the price: what 20+ marketing SaaS tools actually cost

RealCostLabs — Sat, 29 Aug 2026 11:29:00 +0000

Every SaaS pricing page leads with a number you will never pay.

I spent a few months rebuilding the pricing of 20+ marketing tools from their own published rate cards, then pricing each one at usage levels a real business actually hits. Not the cheapest tier. The tier where the features you bought the product for actually live.

Across 13 tools with a paid entry tier, the plan you realistically end up on costs 3.9× the advertised entry price. Median 3.3×.

Here is the full data, and what I think it means if you are pricing your own product.

1. The entry price is not the price

Tool	Advertised entry	Realistic working plan	Multiple
Close	$9	$99	11.0×
Klaviyo	$20	$150	7.5×
Mailchimp	$26	$135	5.2×
MailerLite	$15	$73	4.9×
Ahrefs	$29	$129	4.4×
GetResponse	$19	$65	3.4×
ActiveCampaign	$15	$49	3.3×
Pipedrive	$14	$39	2.8×
SE Ranking	$129	$279	2.2×
Moz	$49	$99	2.0×
Semrush	$139	$249	1.8×
Mangools	$49	$69	1.4×
monday CRM	$12	$17	1.4×

Close is the extreme case: the $9 Solo plan supports one user and has no workflows, so every serious recommendation of Close starts at Growth at $99.

Four more tools — Zoho CRM, Kit, Brevo and HubSpot — lead with a free tier, which makes the multiple mathematically infinite. Kit is the sharpest example: free to 10,000 subscribers, then $139/month at that same list size.

2. Monthly billing carries a 44% premium

Paying month to month is the flexibility a growing business needs most. It is also what vendors charge most for.

Tool	Monthly	Annual (per mo)	Premium
Close	$19	$9	+111%
Pipedrive	$24	$14	+71%
Mangools	$49	$29.90	+64%
Zoho CRM	$20	$14	+43%
monday CRM	$12	$9	+33%
ActiveCampaign	$19	$15	+27%
Moz	$49	$39	+26%
SE Ranking	$129	$103.20	+25%
Ahrefs	$129	$107.50	+20%
Semrush	$139.95	$117.33	+19%

Note where the premium is steepest: the cheap end. The tools a small business can actually afford are the ones that punish monthly billing hardest. Close, Pipedrive and Mangools all charge 60% or more for the privilege of not committing to a year.

3. The same list costs 3.9× more depending on who you pick

Eight email platforms, priced at an identical 10,000 contacts.

Platform	Per month	Per year	vs cheapest
Brevo	$49	$588	—
GetResponse	$65	$780	+$192
MailerLite	$73	$876	+$288
Omnisend	$132	$1,584	+$996
Mailchimp	$135	$1,620	+$1,032
Kit	$139	$1,668	+$1,080
Klaviyo	$150	$1,800	+$1,212
ActiveCampaign	$189	$2,268	+$1,680

Same list. Same job. A $1,680 annual difference.

Brevo is cheapest here because it bills on emails sent rather than contacts stored — which also means the ranking inverts completely for high-frequency senders. Worth knowing which meter you are actually being charged on.

4. Per-seat surcharges reach $100 a month

Team pricing is where advertised comparisons break down entirely, because the sticker price is almost always a single seat.

Tool and tier	Extra seat
Semrush Business	+$100/user/mo
Semrush Guru	+$80/user/mo
Semrush Pro	+$45/user/mo
HubSpot	+$45/user/mo
SE Ranking	+$16/user/mo
Brevo	+$12/user/mo

Worked example: a three-person team on Semrush Guru pays $249.95 plus two seats at $80 = $409.95/month, or 64% above the advertised price.

5. Free tiers are rarer than the marketing suggests

Of the 17 tools priced, only 4 offer a free tier a real business can work inside: Zoho CRM (3 users, no time limit), Kit (to 10,000 subscribers), Brevo (~9,000 emails/month within a 300/day cap), and HubSpot's free CRM.

Everything else offers a trial, not a tier. The distinction matters more than the marketing admits: a trial ends on a date, a free tier ends at a limit you can plan around.

6. The costs that never appear on a pricing page

These only turn up if you read the documentation.

Mandatory onboarding. HubSpot charges $500–$3,000 for Professional onboarding, $3,500–$7,000 for Enterprise. Not optional, not on the pricing page.
Seat minimums. monday CRM enforces a three-seat minimum. A two-person team pays $288/year for a seat nobody uses.
Contact blocks. HubSpot sells extra contacts in 5,000-blocks at roughly $135–$225/month.
Branding removal. Brevo charges $12/month to remove its branding from your emails — not bundled, even on paid tiers.
Dedicated IP. ~$251/year on Brevo, and worth budgeting for because of shared-IP deliverability.
Billing-meter quirks. Mailchimp counts contacts you have not manually archived, and does not deduplicate across audiences. The same person in two lists is billed twice.
Usage fees. Close bills calling at ~$0.02/minute and phone numbers at ~$1 each per month, on top of seats.
Credit systems. Ahrefs meters report generation, so a heavy user can be pushed to the next tier without adding a single seat.

Methodology

List prices came directly from each vendor's public pricing page and documentation during 2026. Every tier was then priced at identical, realistic usage: matched list sizes for email platforms, matched seat counts for CRM and SEO tools.

"Realistic working plan" means the lowest tier that includes the features the product is chosen for — for a CRM, one with automation; for an SEO tool, one with usable rank-tracking limits; for an email platform, one without vendor branding and with automation. Where annual billing exists, both figures are shown. Prices are USD and change frequently.

Nothing here is modelled or estimated. It is the vendor's own published numbers applied to a stated scenario.

What this means if you are pricing your own product

The pattern is consistent enough that I stopped reading it as vendors being sneaky and started reading it as structural. Entry tiers are not products — they are lead magnets. The actual product starts two tiers up, and the entry tier exists to win the comparison-shopping click.

That is a rational strategy and it demonstrably works. But it has a cost the spreadsheets do not show: every customer who arrives via the $9 tier and discovers they need the $99 one has learned something about you. Some of them churn immediately. The ones who stay start every renewal conversation from a position of mild distrust.

If you are setting your own tiers, the question worth asking is not "what is the lowest number I can put on the page" but "what is the lowest number at which someone can succeed?" Those are different numbers, and the gap between them is the amount of goodwill you are choosing to spend.

I would genuinely like to hear from people who have made this call in either direction. Did you price tier one below what most customers need, or make it genuinely usable and accept the worse conversion rate?

The full per-tool breakdowns, including the tier-by-tier working for each figure above, are published at RealCostLabs. All figures are free to cite with attribution.