HubSpot, Marketo Engage and MCAE all execute about 80% of a normal B2B requirement set. The decision lives in the other 20% — and in whether your team can operate what you sign.
Below: the 30-second comparison, a year-one cost model you can run on your own numbers, and the disqualifying questions that eliminate options faster than any demo.
Pressure-test your shortlistof your true cost is the license. That is the whole trap.
Illustrative year-one split, HubSpot Enterprise at 25,000 marketing contacts. If a vendor comparison is running on license price alone, that is the first correction.
Core bet, ceiling, admin load, and the profile each one is actually built for.
Speed, usability, one data model.
Pick it when the motion is marketing-led, you need velocity, and the database stays under 75K contacts.
Logic power and scale, if you fund an owner.
Pick it when the lifecycle is genuinely complex, multi-BU or global, and the database is above 250K.
Native to Salesforce, low admin, thin engine.
Pick it when Salesforce is gospel, the motion is sales-led, and nurture stays simple.
In 2026 the honest default for most mid-market B2B is HubSpot. Marketo is right when complexity genuinely demands it, and it earns its keep only if you fund an admin. MCAE is increasingly a defensive choice — you buy it because Salesforce politics require it. That is a real reason. Name it out loud.
Three constraints cause almost every outgrown platform. Read them as a shopping list of future pain.
MCAE is prospect-centric — one prospect is effectively one email address, living in one Engagement Studio path. Concurrent journeys, dynamic re-entry and branch-heavy logic fight the model. The most common reason clients outgrow MCAE.
HubSpot custom objects are Enterprise-only and capped, with no junction objects. Parent/child accounts, multi-product and channel hierarchies get hacky. The most common reason enterprise B2B outgrows HubSpot.
Marketo has almost no capability ceiling. Smart Campaigns, Programs, Workspaces, Velocity script and Marketo Measure will execute whatever you can define. Its ceiling is the person you hire to run it.
Published list is the start of the conversation. These three lines are where the budget breaks.
$800/mo Pro to $3,600/mo Enterprise. Multi-touch attribution, custom objects, sandboxes, advanced permissions and hierarchical teams all sit on the far side. Model 24-month contact growth before signing Pro.
You pay for inactive records. A 400K database where 120K are dead is a five-figure annual tax. Hygiene before renewal is real money — and the implementation partner at $30K–$100K is effectively mandatory.
Growth+ has no custom user roles, minimal automation, one business unit. Most real deployments need Plus+ at $2,750/mo minimum. Budget Plus+. Contacts then scale cheaply at $100/mo per 10,000.
Set your marketable database and the admin you will genuinely staff. The model prices all four cost lines, not the license.
Drives HubSpot tier selection, MCAE contact blocks and the Marketo database band.
Changes the admin line below at $100K loaded cost per FTE. Each platform enforces its own floor, whatever you select.
Pro caps out fast. Multi-touch attribution, custom objects and sandboxes are one 4.5x price step away.
Floor of 1.0 dedicated FTE applied. Add-ons priced in: Marketo Measure attribution is rarely optional. You also pay for inactive records.
Add the eventual migration to Marketing Cloud Growth: 8-16 weeks and $40K-$80K in consulting, on your P&L.
Services and headcount are carrying the deal. Someone underscoped the license or overscoped the build.
The normal band. If your model lands here, the four cost lines are probably honest.
Implementation, integration or admin is missing. Underestimating TCO by 2–3× is a high-frequency failure.
Score constraints and capacity to operate, not features. Answer these and watch the shortlist shrink.
What is your CRM, and is it moving in 24 months?
Who owns the platform day to day, by name?
Marketable database size in 24 months?
Channels in scope beyond email?
Realistic go-live deadline?
Is the motion sales-led or marketing-led?
“We need lead nurturing” is how organizations land on the wrong platform. One worked example, rated per platform.
Any Tier 1 use case rated X disqualifies the platform. No exceptions.
More than a fifth of Tier 1 rated W means you are buying technical debt at signature.
Seventy percent or more of Tier 1 rated N is a genuine fit. Cap Tier 1 at 8–12 use cases.
None of them are software problems. All six are preventable before signature.
Aspirational use cases get weighted, and the org ends up using 15% of the platform.
Prevention: tier and weight use cases. Tier 3 gets zero weight.
Marketo without an owner degrades into an expensive mess within 12 months. The number one cause of failed deployments.
Prevention: a named owner before signature, or do not buy it.
License is 25–40% of true cost. Comparing on license price alone understates the decision badly.
Prevention: model all four cost lines over three years.
Build starts before marketing and sales agree what MQL and SQL mean, so routing is argued about post-launch.
Prevention: written MQL/SQL definitions signed by both, pre-build.
Dead records move to the new platform and you pay database pricing to store them for three years.
Prevention: hygiene before migration, plus a field dictionary and object map in week 1.
MCAE is not discontinued and has no published sunset. Strategic investment has still moved to Marketing Cloud Growth and Next.
Prevention: put the 8–16 week, $40K–$80K migration in the 3-year TCO.
Defaults, not verdicts. The trials in weeks 4–5 either confirm the row or kill it.
B2B SaaS under $20M ARR, marketing-led, under 50K contacts
Velocity and self-service beat the capability ceiling at this stage
B2B SaaS $20–100M ARR, needs attribution and custom objects
Ceiling raised enough, and still no dedicated admin needed
Sales-led, SFDC-mature, simple nurture, strong SFDC admin
Native integration wins. Price the eventual migration in
Enterprise, multi-BU or multi-region, over 250K database, funded ops team
The only platform whose ceiling exceeds the requirements
PE-backed, multi-entity rollup, CRM consolidation underway
CRM-agnostic, and Workspaces survive the M&A churn
On Pardot, working fine, no complex needs
No forced deadline. Re-evaluate H2 2026 rather than paying for manufactured urgency
On Pardot, hitting the automation ceiling
Do not migrate to MC Growth for the same ceiling in new packaging
Will not or cannot staff an admin
This constraint overrides every other input
Vendor demos are choreographed. Hands on the keyboard is the step that catches bad selections.
Discovery: the disqualifying questions, current-state audit, data model map.
Output: constraints doc
Use case definition workshop across all six categories, then tier ruthlessly.
Output: 8–12 Tier 1 use cases, seven-field spec each
Vendor briefs sent as use cases, not RFP boilerplate. Demos scored against them.
Output: capability matrix v1
Hands-on trials. Your team builds the three hardest use cases in each finalist, time-boxed to two weeks per vendor.
Output: capability matrix final, with effort and fragility notes
Weighted scorecard, 3-year TCO model, negotiate. Break ties on operability and TCO, never on features.
Output: recommendation and signed terms
15–25% for a 2–3 year commit. Renewal escalators capped at 3–5% in writing. Ramped contacts, waived onboarding, documented export rights.
Timing: Salesforce Jan, Adobe Nov, HubSpot Dec
All three platforms will execute roughly 80% of a typical requirement set. Selection is decided in the other 20% — and in whether the people you actually have can operate the thing you actually bought.
Run the selection with usDeliverables that make the decision defensible
Sources: HubSpot Marketing Hub pricing; Salesforce MCAE and Marketing Cloud pricing; Adobe Marketo Engage pricing and packaging; Automation Atlas Marketo pricing 2026; Salesforce Ben Pardot editions; MCAE / Marketing Cloud Growth 2026 convergence analyses.
We engineer growth systems. JayOh builds the RevOps architecture, GTM execution and data infrastructure that turn messy revenue operations into predictable pipeline for B2B SaaS and PE-backed teams.
