MarTech Vendor Evaluation
Most vendor evaluations are decided before the scorecard exists
On paper, MarTech buying processes look rigorous: demos, scorecards, reference calls, a proof-of-concept. In practice, a huge share of these evaluations are decided early by whichever vendor got the most stakeholder mindshare first, and the scorecard is filled in afterward to justify a decision already made informally. A disciplined evaluation process exists specifically to counteract this — to force comparison on criteria that were defined before any vendor pitched, rather than criteria a vendor's own demo happened to make salient.
Building an evaluation scorecard
A usable scorecard starts with requirements gathered from the people who will actually use the tool daily, not just the budget owner — a CRM that the sales team hates using will get worked around regardless of how well it scored on paper. Requirements should be split into three tiers: must-have (disqualifying if missing), important (weighted heavily but not disqualifying), and nice-to-have (tiebreaker only). Weighting matters more than most teams give it credit for: scoring ten criteria equally when three of them are actually critical produces a winner that looks balanced but optimizes for the wrong thing.
Each criterion should be scored by more than one person independently before scores are discussed as a group — discussing first and scoring second almost always produces anchored, groupthink-driven numbers rather than genuinely independent signal.
VENDOR EVALUATION SCORECARD (per vendor, 1-5 scale per criterion)
MUST-HAVE (any score of 1 = disqualify)
[ ] Data residency / compliance requirement met
[ ] Core integration with [system of record] exists natively
[ ] SSO / security requirements met
[ ] Within approved budget band
WEIGHTED CRITERIA (weight x score)
Criterion Weight Score Weighted
------------------------------------------------------------
Core workflow fit x3 __ __
API / integration depth x2 __ __
Reporting & analytics x2 __ __
Ease of use (end-user, not admin) x2 __ __
Vendor support responsiveness x1 __ __
Implementation timeline x1 __ __
Roadmap alignment x1 __ __
------------------------------------------------------------
TOTAL WEIGHTED SCORE: __
NOTES: TCO estimate, PoC findings, reference call summaryScore the workflow fit for your worst-case use, not your best-case demo
RFP red flags
Certain patterns in how a vendor responds to a request for proposal predict implementation pain more reliably than almost anything in the product demo itself. A vendor that answers every question with an unqualified 'yes' — including questions about capabilities that are genuinely hard or unusual — is more likely to be optimizing for winning the deal than giving an accurate answer; ask for a specific demonstration or documentation link for any 'yes' to a hard question, not just a verbal confirmation. A sales team that can't get a technical or implementation person on a call before signing is signaling that post-sale support may be similarly hard to reach. And a vendor unwilling to put committed SLAs, data ownership terms, or exit/export terms in the contract — insisting they're 'standard' and don't need to be written down — is a red flag regardless of how reasonable the verbal assurance sounds.
RFP response red flags vs. healthy signals
| Signal | Red flag version | Healthy version |
|---|---|---|
| Capability questions | Unqualified 'yes' to every hard question, no demo offered | Honest 'not natively, here's the workaround' with a live demo |
| Technical access | Only sales contact available pre-sale | Solutions engineer or implementation lead joins calls |
| Pricing structure | Vague, 'depends,' won't give a real number without a call | Clear tiered pricing or a scoped quote within days |
| Data export terms | Verbal assurance only, not in the contract | Written export/exit terms in the MSA |
| References | Only hand-picked logos, no direct contact offered | Offers 2-3 references you can contact directly, unscripted |
Total cost of ownership beyond list price
List price is usually the smallest number in the real cost of a MarTech tool. Total cost of ownership (TCO) includes: implementation cost (internal hours or paid implementation partner fees, often underestimated by half or more), training time across the team that will use it, the cost of any middleware or integration work needed to connect it to the rest of the stack, ongoing admin overhead (someone has to own configuration, user management, and troubleshooting), and the cost of eventually migrating off it if it's replaced — data export fees, contract termination penalties, and the migration project itself.
Usage-based or seat-based pricing adds a growth tax that's easy to underestimate at evaluation time: a tool priced attractively at current team size or data volume can become dramatically more expensive at double the scale, and some vendors price the entry tier deliberately low knowing expansion revenue will make up the difference. Ask vendors directly what the cost looks like at 2x and 5x current usage, and get the answer in writing.
Proof-of-concept pitfalls
What's next
A scorecard-driven evaluation is most effective inside a formal RFP process with structured requirements and scoring — worth examining in more depth on its own.
Next: The MarTech RFP Process →
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