Message test · Nrich

10 of 15 buyers could say why they would pick Nrich over an alternative.

https://nrich.io/15 AI-simulated buyers

Your message lands: they know what it is, who it's for, why it's worth their time, and why to pick you.

Simulated responsesNo humans answered these questions. Every quote below was written by an AI model role-playing a buyer profile.
Saved report, kept for 60 days — expires in 47 days. Re-opening it is free.
01

Your verdict

  • Clarity

    Do they understand what you do?

    Strong15 of 15

    15 could name what kind of product this is, unprompted.

  • Relevance

    Can they tell what it solves, and who it's for?

    Strong15 of 15

    15 could quickly tell what problem it solves and who it is for.

  • Value

    Do they actually want it?

    Strong15 of 15

    15 would take a meeting to learn more.

  • Differentiation

    Fix first

    Is there a reason to pick you over the alternatives?

    Mixed10 of 15

    10 could name a reason to pick you over a similar option.

See what they thought you were

Your page describes: account-based marketing platform. They said:

  • 10×Account-Based Marketing (ABM) Platformmatches
  • 1×Account-Based Marketing (ABM) Platform / B2B DSPmatches

4 couldn't name one; 11 got it right.

Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.

Additional signalBrand alignment15 of 15StrongShow finding ▸

Two respondents read the vendor as a mid-size or European mid-market challenger lacking enterprise credibility markers, and one said the GTM OS platform-play positioning feels inflated against the actual product scope. A third respondent read the mid-market ABM-practitioner targeting as appropriate rather than a problem. Not one of the four layers, and it does not affect the scores above or the order to fix them in.

These are 15 simulated buyers. Want 15 real ones?

Test with humans
02

Fix these first

Fix these first

Three edits, in the order that matters.

The first is on your weakest layer, the second on the next, the third on the layer the most buyers had a problem with. Each says what to change on the page and why, with one simulated answer behind it.

  1. Define what counts as an engagement beside the pricing claim.

    Why: The line "Cost-per-engagement model: you only pay for meaningful ICP engagement" is the one thing readers could repeat back as different — but 'meaningful engagement' is never defined, and readers stalled on whether a scroll, a 72% read, a 26-second video view or a click counts, and on who verifies it. Add a short definition directly under that row: the specific actions that bill (e.g. content read past X seconds, video watched to Y%, ad click), the minimum threshold, and that impressions are…

    Moves Differentiation
    Plain language
  2. Cut the 'GTM OS' framing from the top banner and buttons.

    Why: "THE OPERATING SYSTEM FOR THE FUTURE OF GTM IS HERE" and "See GTM OS in action" sit above the clear, well-received "ACCOUNT-BASED MARKETING PLATFORM / Drive ABM results your CEO can't ignore". Readers described what they saw as an ABM platform — intent data, engagement-priced advertising, pipeline attribution — and read the operating-system language as inflated against that scope. Lead with the ABM category line and, where the assistant feature is shown, describe it plainly as an AI assistant…

    5 of 15 raised this

    ABM platform with a built-in ad DSP and reporting layer, not a totally new category despite the "GTM OS" framing
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    Moves Clarity
    Plain language
  3. Attach baselines and timeframes to the conversion and deal-size claims.

    Why: 'HIGHER CONVERSION RATE', 'SHORTER SALES CYCLE' and 'UPLIFT IN AVERAGE DEAL SIZE' carry no numbers, and the customer figures readers did find were rejected as uncitable without a baseline, sample size, company size or timeframe. Rewrite each as a named outcome with its own evidence beside it: the metric, the before-and-after, the period measured, and the customer or segment it came from.

    7 of 15 raised this

    the Virta/NFON "270%/316%" stats explained (win rate off what baseline, over what period) before I'd bring it to my VP
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    Moves Value
    Proof next to the claim

Keep these · 3

These landed. Keep the wording when you edit around it.

  1. Keep · Differentiation

    Cost-per-engagement pricing is the one differentiator respondents could name and repeat

    The "cost-per-engagement model: you only pay for meaningful ICP engagement" line is the one concrete differentiator that would tip me toward N.Rich versus a generic ABM/DSP combo
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
  2. Keep · Relevance

    The page names the buyer and their problem — proving ABM ROI to leadership — clearly…

    this is for a marketer stuck justifying spend to leadership, and the "GTM Leader Dashboard and Sales Velocity Dashboard" section confirms it's aimed at someone who owns pipeline/revenue…” Show full quote
    this is for a marketer stuck justifying spend to leadership, and the "GTM Leader Dashboard and Sales Velocity Dashboard" section confirms it's aimed at someone who owns pipeline/revenue reporting
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
  3. Keep · Brand alignment

    The copy speaks to an ABM-literate buyer and respondents saw that as deliberate

    "Drive ABM results your CEO can't ignore" and "Replace the blame game" is exactly the language of a marketer who has to defend spend to leadership
    Demand Generation Manager, SaaS · 501-1000 employeessimulated
03

All recommendations

Differentiation

Mixed10 of 15
Moves DifferentiationSpecifics beat superlatives

Quantify the cost-per-engagement saving against CPM in the hero.

Why: Everything above the fold — "Drive ABM results your CEO can't ignore", "execution-first ABM platform", "all the core capabilities needed" — is claimable by every ABM vendor, and readers said only the pricing model separated N.Rich from 6sense, Demandbase and Dreamdata. The '70%+ of ad spend wasted on impressions' stat is buried in a comparison table halfway down. Pull that contrast up into the subhead or a line under it: state what a customer pays per engagement versus what the same budget…

Moves DifferentiationGive a reason to choose you

Replace 'execution-first' and the parity capability list with sharper claims.

Why: "N.Rich is an execution-first ABM platform that combines all the core capabilities needed for marketing teams to plan, launch, and analyze account-based campaigns" is the weakest line on the page for a reader comparing vendors: Account Lists, Intent Data, Account-Based Advertising, Account-Based Analytics is the same four-box list every competitor publishes. Say what N.Rich does that the incumbents cannot — the owned ad DSP with engagement billing, first-party signal quality sales will act on…

Relevance

Strong15 of 15

No specific edits needed here — this layer held up.

Value

Strong15 of 15
Moves ValueProof next to the claim

Add a named customer proof point under the pipeline attribution claim.

Why: "Intuitive dashboards that show marketing impact on the bottom line" is the answer to the problem the page opens with, but it sits in a comparison table with no evidence. The logo wall under "Trusted By The Best In B2B" carries no story. Put one short, attributed result next to that claim — a named company, its team size, what its ad-influenced pipeline number was and over what period — and offer a reference call as the follow-up for buyers evaluating against an existing attribution tool.

7 of 15 raised this

the Virta/NFON "270%/316%" stats explained (win rate off what baseline, over what period) before I'd bring it to my VP
Senior Demand Generation Manager, Software · 201-500 employeessimulated
Additional signal

Brand alignment

Strong15 of 15
Moves Brand alignmentOne clear next action

Reconcile the hero CTAs into one next action.

Why: The top of the page offers "Get early access", "Book a demo", "See GTM OS in action" and later "ABM coffee break" — four competing invitations in the space where readers were deciding whether this vendor was credible. Keep 'Book a demo' as the single primary action and demote the rest to secondary links, so the page's confidence matches its focus.

3 of 15 raised this

it reads like a marketing-led company talking to other marketers, not a mature enterprise vendor; the case studies are thin on numbers
Senior Demand Generation Manager, Technology · 1001-5000 employeessimulated
04

Buyer evidence

Biggest risks

A deliberately adversarial read of the same answers. Each claim was checked back against what the personas said and dropped if nothing supported it.

  • high

    The page's entire competitive case rests on a pricing unit it never defines, so the one thing respondents can repeat is also the one thing they cannot evaluate.

    Nine respondents named cost-per-engagement as the concrete differentiator, and one said it is the only concrete differentiation on the page. Two respondents flagged that 'engagement' is never defined and no verification mechanism is stated. The differentiator and the undefined term are the same object: buyers walk away able to repeat a price model they cannot price.

  • high

    Strip out the pricing model and the page reads as parity with every other ABM platform.

    Six respondents described the offering in identical functional terms — intent data, ad DSP, pipeline attribution — and two stated outright it is not a new category. One respondent said cost-per-engagement is the only concrete differentiation, meaning everything else on the page read as table stakes against 6sense, Dreamdata and impression-based competitors.

  • high

    The proof section actively works against the page: seven respondents rejected the customer numbers outright, and only one accepted the value claim on its own terms.

    Seven of 15 called the case study statistics unverifiable for want of baselines, denominators, sample size, timeframe and sources, with two requiring attribution methodology or a reference call before shortlisting. Exactly one respondent accepted the value claim without demanding proof. That ratio means the evidence on the page creates more objections than conviction.

  • high

    Naming the buyer's pain well is wasted when the payoff claim gets refused — the page earns attention and then loses the shortlist.

    Eight respondents identified the same buyer and the same ROI-justification pain, calling the copy specific rather than generic. Seven then rejected the customer numbers as unusable proof, and two said they would need a reference call or transparent attribution methodology before citing or shortlisting. Diagnosis lands; the ask does not.

  • medium

    'GTM OS' undercuts the page by making a credibility promise the product scope does not cover.

    Two respondents read the vendor as a mid-size or European mid-market challenger lacking enterprise credibility markers, and one said the GTM OS platform-play positioning feels inflated against actual scope. Six respondents independently described the product as an ABM platform bundle, not a new category. The category language is contradicted by the page's own feature description.

  • medium

    The page asks an ABM-literate audience to accept unaudited numbers — the exact audience least likely to.

    Three respondents said the copy assumes existing ABM expertise and skips foundational explanation, reading it as deliberate targeting. That same sophistication shows up as seven respondents demanding baselines, denominators and sample sizes, and one specifically requesting a reference from a similar-size company that switched from Dreamdata with pipeline proof. Writing for experts raises the evidentiary bar the page fails to clear.

Differentiation

  • Cost-per-engagement pricing is the one differentiator respondents could name and repeat

    8 of 15 · what worked

    The "cost-per-engagement model: you only pay for meaningful ICP engagement" line is the one concrete differentiator that would tip me toward N.Rich versus a generic ABM/DSP combo
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    See all 8 comments
    The cost-per-engagement pitch — "you're charged only when your target accounts engage with your videos, articles, or display banners" — is the one concrete mechanical difference I'd actually…” Show full quote
    The cost-per-engagement pitch — "you're charged only when your target accounts engage with your videos, articles, or display banners" — is the one concrete mechanical difference I'd actually push on with a competitor, since most ABM ad tools still bill on impressions
    VP of Marketing, SaaS · 501-1000 employeessimulated
    The cost-per-engagement ad model is the one concrete lever that could tip it — "you're charged only when your target accounts engage with your videos, articles, or display…” Show full quote
    The cost-per-engagement ad model is the one concrete lever that could tip it — "you're charged only when your target accounts engage with your videos, articles, or display banners" is a real structural difference from 6sense, not just a dashboard repaint
    Chief Marketing Officer, Software · 201-500 employeessimulated
    you're charged only when your target accounts engage with your videos, articles, or display banners" is a real pricing mechanism, not a slogan, and it directly attacks the…” Show full quote
    you're charged only when your target accounts engage with your videos, articles, or display banners" is a real pricing mechanism, not a slogan, and it directly attacks the thing I've been burned by before (paying for impressions nobody in my ICP saw)
    Demand Generation Manager, Technology · 1001-5000 employeessimulated
    you're charged only when your target accounts engage with your videos, articles, or display banners
    Senior Demand Generation Manager, Technology · 1001-5000 employeessimulated
    The cost-per-engagement pricing line — "you're charged only when your target accounts engage" — is the one concrete mechanism here that's different from a generic ABM pitch
    Demand Generation Manager, SaaS · 501-1000 employeessimulated
    cost-per-engagement' and 'DSP' are the only two terms doing real work
    Chief Marketing Officer, SaaS · 501-1000 employeessimulated
    Cost-per-engagement model: you only pay for meaningful ICP engagement" — that's a real structural difference from 6sense, which is priced as a platform fee plus my own media…” Show full quote
    Cost-per-engagement model: you only pay for meaningful ICP engagement" — that's a real structural difference from 6sense, which is priced as a platform fee plus my own media spend on top, not tied to outcomes.
    Chief Marketing Officer, Technology · 1001-5000 employeessimulated

Clarity

  • 'Engagement' — the term the whole differentiator rests on — is never defined

    2 of 15

    the feature list was clear enough (account lists, intent data, DSP, dashboards, AI agents). The friction wasn't comprehension, it was that 'engagement' and the case-study percentages are undefined…” Show full quote
    the feature list was clear enough (account lists, intent data, DSP, dashboards, AI agents). The friction wasn't comprehension, it was that 'engagement' and the case-study percentages are undefined — engagement isn't quantified anywhere
    Chief Marketing Officer, Software · 201-500 employeessimulated
  • The page reads as an ABM platform bundle, not a new category

    5 of 15

    ABM platform with a built-in ad DSP and reporting layer, not a totally new category despite the "GTM OS" framing
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    See all 5 comments
    It's an account-based marketing platform — intent data plus an ad network (their own DSP) that targets your ICP accounts and reports pipeline impact instead of impressions.
    VP of Demand Generation, SaaS · 501-1000 employeessimulated
    it helps you build target account lists, track intent/engagement signals from those accounts, run ads against them on a pay-for-engagement (not impressions) basis, and then tie all that…” Show full quote
    it helps you build target account lists, track intent/engagement signals from those accounts, run ads against them on a pay-for-engagement (not impressions) basis, and then tie all that back to pipeline and revenue
    VP of Marketing, SaaS · 501-1000 employeessimulated
    the page uses concrete nouns like "account lists," "intent data," and "cost-per-engagement" instead of fluff
    VP of Marketing, Software · 201-500 employeessimulated
    It's an account-based marketing platform — intent data plus an ad DSP that only charges for engagement (not impressions), rolled up into dashboards that tie ad activity to…” Show full quote
    It's an account-based marketing platform — intent data plus an ad DSP that only charges for engagement (not impressions), rolled up into dashboards that tie ad activity to pipeline.
    Demand Generation Manager, Software · 201-500 employeessimulated

Relevance

  • The page names the buyer and their problem — proving ABM ROI to leadership — clearly…

    7 of 15 · what worked

    this is for a marketer stuck justifying spend to leadership, and the "GTM Leader Dashboard and Sales Velocity Dashboard" section confirms it's aimed at someone who owns pipeline/revenue…” Show full quote
    this is for a marketer stuck justifying spend to leadership, and the "GTM Leader Dashboard and Sales Velocity Dashboard" section confirms it's aimed at someone who owns pipeline/revenue reporting
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    See all 7 comments
    the subhead "Drive ABM results your CEO can't ignore" and the line "Replace the blame game with campaigns that work and results you can prove — beyond just…” Show full quote
    the subhead "Drive ABM results your CEO can't ignore" and the line "Replace the blame game with campaigns that work and results you can prove — beyond just impressions and leads" tells you exactly who this is for: a marketing leader who's sick of justifying ABM spend to execs.
    VP of Demand Generation, SaaS · 501-1000 employeessimulated
    "Drive ABM results your CEO can't ignore" line right up top and "Replace the blame game with campaigns that work" told me this is for a marketing leader…” Show full quote
    "Drive ABM results your CEO can't ignore" line right up top and "Replace the blame game with campaigns that work" told me this is for a marketing leader who's tired of justifying ABM spend to sales and the C-suite
    VP of Marketing, SaaS · 501-1000 employeessimulated
    the headline and subhead do the job in one breath: "Drive ABM results your CEO can't ignore... beyond just impressions and leads," followed by "Replace the blame game…” Show full quote
    the headline and subhead do the job in one breath: "Drive ABM results your CEO can't ignore... beyond just impressions and leads," followed by "Replace the blame game with campaigns that work." That tells me the problem (proving ABM ROI to leadership, sales/marketing finger-pointing) and the buyer
    Chief Marketing Officer, Software · 201-500 employeessimulated
    The "Before/After N.Rich" table made the target reader explicit almost immediately too — "Marketers struggling to prove business impact of ABM" and "sales and marketing turf wars"
    Chief Marketing Officer, Technology · 1001-5000 employeessimulated
    it's explicitly about the sales-marketing turf war ("No visibility across teams, siloed inbound vs outbound mindset" vs "marketing warming up the ICP, sales booking the deal")
    VP of Marketing, Software · 201-500 employeessimulated
    marketers who can't tie ABM spend to pipeline and get grilled by finance
    Chief Marketing Officer, SaaS · 501-1000 employeessimulated

Value

  • The customer numbers are unusable as proof because no baselines, denominators or sample…

    7 of 15

    the Virta/NFON "270%/316%" stats explained (win rate off what baseline, over what period) before I'd bring it to my VP
    Senior Demand Generation Manager, Software · 201-500 employeessimulated
    See all 4 comments
    the case studies (Virta's "10x conversion," NFON's "316% higher sales velocity") are exactly the kind of cherry-picked numbers I'd discount until I saw a comparable account list and…” Show full quote
    the case studies (Virta's "10x conversion," NFON's "316% higher sales velocity") are exactly the kind of cherry-picked numbers I'd discount until I saw a comparable account list and time frame.
    VP of Demand Generation, SaaS · 501-1000 employeessimulated
    I'd want them to walk me through, step by step, how they attribute a closed deal back to an ad engagement rather than just showing correlated charts
    VP of Marketing, SaaS · 501-1000 employeessimulated
    the case studies ("10x conversion," "270% win rate," "316% higher sales velocity") are the kind of numbers that need context before I believe them — company size, deal…” Show full quote
    the case studies ("10x conversion," "270% win rate," "316% higher sales velocity") are the kind of numbers that need context before I believe them — company size, deal cycle, what "conversion" even means there
    Senior Demand Generation Manager, Technology · 1001-5000 employeessimulated
  • Engagement-based pricing plus pipeline attribution is the value respondents said solves…

    1 of 15 · what worked

    If it actually worked as pitched, the win is cost-per-engagement instead of CPM plus dashboards that tie ad spend straight to pipeline and deal size — that would…” Show full quote
    If it actually worked as pitched, the win is cost-per-engagement instead of CPM plus dashboards that tie ad spend straight to pipeline and deal size — that would let me walk into a QBR and answer "what's the ROI" without hand-waving
    VP of Demand Generation, SaaS · 501-1000 employeessimulated

Brand alignment

  • The 'GTM OS' framing overreaches what respondents saw as a mid-market challenger

    3 of 15

    it reads like a marketing-led company talking to other marketers, not a mature enterprise vendor; the case studies are thin on numbers
    Senior Demand Generation Manager, Technology · 1001-5000 employeessimulated
    See all 3 comments
    the Gartner Magic Quadrant badge and the "GTM OS" reframe feel like they're straining to look bigger/more platform-y than the actual product (ad DSP + intent data +…” Show full quote
    the Gartner Magic Quadrant badge and the "GTM OS" reframe feel like they're straining to look bigger/more platform-y than the actual product (ad DSP + intent data + dashboards) really is
    VP of Demand Generation, Software · 201-500 employeessimulated
    Mid-size B2B martech vendor, probably 100-300 people, maybe 7-10 years old, European roots given the "made-in-eu" badge and logos like Wärtsilä, Signicat, JetBrains
    Senior Demand Generation Manager, SaaS · 501-1000 employeessimulated
  • The copy speaks to an ABM-literate buyer and respondents saw that as deliberate

    3 of 15 · what worked

    "Drive ABM results your CEO can't ignore" and "Replace the blame game" is exactly the language of a marketer who has to defend spend to leadership
    Demand Generation Manager, SaaS · 501-1000 employeessimulated
    See all 2 comments
    it doesn't waste time explaining what ABM is, which tells me they're talking to practitioners, not educating newcomers
    Senior Demand Generation Manager, SaaS · 501-1000 employeessimulated
05

How this works

Who we simulated (15 personas)

15 AI-simulated personas matched to your target market. Each answered independently, without seeing your goal, the scoring criteria, or each other’s answers. Attribution is role, industry and company size only.

Chief Marketing OfficerSoftware · 201-500 employeesEU
VP of MarketingSaaS · 501-1000 employeesUS
Demand Generation ManagerTechnology · 1001-5000 employeesEU
Senior Demand Generation ManagerSoftware · 201-500 employeesUS
VP of Demand GenerationSaaS · 501-1000 employeesEU
Chief Marketing OfficerTechnology · 1001-5000 employeesUS
VP of MarketingSoftware · 201-500 employeesEU
Demand Generation ManagerSaaS · 501-1000 employeesUS
Senior Demand Generation ManagerTechnology · 1001-5000 employeesEU
VP of Demand GenerationSoftware · 201-500 employeesUS
Chief Marketing OfficerSaaS · 501-1000 employeesEU
VP of MarketingTechnology · 1001-5000 employeesUS
Demand Generation ManagerSoftware · 201-500 employeesEU
Senior Demand Generation ManagerSaaS · 501-1000 employeesUS
VP of Demand GenerationTechnology · 1001-5000 employeesEU
Methodology

Every answer on this page was written by an AI model role-playing a buyer profile, scored on Wynter’s B2B Message Layers framework. The personas were sampled in code across role, industry, company size and behavioral traits; the model wrote only the answers. Scores arrive through fixed verdict categories and the counts are computed in our own code, so no number here was written by a model.

Score details: the count and the strength

The count is how many personas cleared the bar on each question. A yes can be unhesitating or come with reservations; the scorecard counts both as a yes, and this is the only place the difference is shown. Per layer:

  • Clarity: 15 of 15, 6 without hesitation, 9 with reservations
  • Relevance: 15 of 15, 8 without hesitation, 7 with reservations
  • Value: 15 of 15, all with reservations
  • Differentiation: 10 of 15, all with reservations

These answers are AI-simulated and directional. Validate anything you’re betting on with real buyers, your ICPs.

Your next 3 moves

  1. 1.Define what counts as an engagement beside the pricing claim.
  2. 2.Cut the 'GTM OS' framing from the top banner and buttons.
  3. 3.Attach baselines and timeframes to the conversion and deal-size claims.

See what real buyers say.

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