Clarity
Do they understand what you do?
Strong15 of 15
15 could name what kind of product this is, unprompted.
Saved report, kept for 60 days — expires in 60 days. Re-opening it is free.
01
Your verdict
Relevance
Can they tell what it solves, and who it's for?
Strong15 of 1515 could quickly tell what problem it solves and who it is for.
Value
Do they actually want it?
Strong13 of 1513 would take a meeting to learn more.
Differentiation
Fix firstIs there a reason to pick you over the alternatives?
Weak8 of 158 could name a reason to pick you over a similar option.
See what they thought you were
Your page describes: revenue intelligence. They said:
- 5×Revenue intelligence / forecasting platformmatches
- 3×Revenue Intelligence Platformmatches
- 2×AI Revenue Intelligence Platformmatches
- 1×AI-native revenue intelligence platformmatches
- 1×Revenue intelligence / forecasting softwarematches
- 1×Revenue Intelligence / RevOps Platformmatches
2 couldn't name one; 13 got it right.
Four separate measures, not stages: all 15 personas answered all four questions. Each square is one persona.
Additional signalBrand alignment12 of 15StrongShow finding ▸
Four respondents flagged a tone mismatch: the mascot and module names undercut senior executive positioning, and RevOps buzzwords read as promotional without proof, suggesting a company still finding its enterprise footing. 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 humans02
Fix these firstFix 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.
Replace "first AI platform" in the hero subhead with what MaxIQ does that forecasting tools do not.
Why: "The first AI platform to help teams win deals, forecast accurately" is a claim every revenue tool makes. Say instead what signals MaxIQ reads and what it replaces in the existing stack.
6 of 15 raised this
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly…” Show full quote
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly slipping two or three weeks before my reps admit it, that's the one thing that justifies the switch.”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated Moves DifferentiationGive a reason to choose youReplace the implementation timeline claim with the actual migration steps and who does them.
Why: The fast-launch promise reads as marketing to anyone who has migrated off Clari or Gong. List what happens in week one, what the customer's RevOps team must supply, and when the first forecast runs.
3 of 15 raised this
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck…” Show full quote
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck fantasy with zero proof behind it”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated Moves ValueAnswer the live objectionAdd one sentence under the hero explaining how signals produce a forecast number.
Why: "AI-Native Revenue Intelligence Platform" tells a reader nothing about how the forecast is produced. Explain in one sentence what data is captured and how it becomes a committed number.
3 of 15 raised this
“it sounds like a real methodology but never says which signals (call sentiment, email cadence, CRM field changes?) or how they get weighted into a forecast number, so…” Show full quote
“it sounds like a real methodology but never says which signals (call sentiment, email cadence, CRM field changes?) or how they get weighted into a forecast number, so I can't tell if it's meaningfully different from Gong's deal scoring or just marketing language for the same thing.”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated Moves ClarityConcrete over abstract
Keep these · 2
These landed. Keep the wording when you edit around it.
- Keep · Relevance
The problem and the RevOps buyer register on the first screen
“The hero line "AI-Native Revenue Intelligence Platform for RevOps... help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (forecast unreliability, pipeline…” Show full quote
“The hero line "AI-Native Revenue Intelligence Platform for RevOps... help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (forecast unreliability, pipeline blind spots) and the buyer (RevOps/Sales leadership) within the first screen.”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated - Keep · Clarity
Named customer quotes with titles and metrics do the credibility work, not the product…
“The named logos — Snowflake, Commvault, Vast — and the specific quote about improving forecast accuracy by 15% is what actually makes me believe it does what it…” Show full quote
“The named logos — Snowflake, Commvault, Vast — and the specific quote about improving forecast accuracy by 15% is what actually makes me believe it does what it says, rather than the four product names (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) which mostly sound like marketing wrapping on the same core thing.”
Chief Revenue Officer, B2B SaaS · 501-1000 employeessimulated
03
All recommendations
Differentiation
Weak8 of 15- Shown aboveReplace "first AI platform" in the hero subhead with what MaxIQ does that forecasting tools do not.
Moves DifferentiationTie the feature to the outcome
Add a line under "Built on signals, not stages" naming which signals and where they come from.
Why: Buyers already running forecast tools cannot tell what "signals" means or how it beats stage-based rollups. Name the inputs, calls, email, Salesforce field changes, and what the forecast does with them.
6 of 15 raised this
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly…” Show full quote
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly slipping two or three weeks before my reps admit it, that's the one thing that justifies the switch.”
Moves DifferentiationSpecifics beat superlatives
Add baseline, timeframe and sample under the 15% forecast accuracy quote from Vast Data.
Why: The 15% accuracy improvement has no starting point, no period and no team size, so a buyer cannot judge it. State what accuracy was before, over how many quarters, and for how many reps.
6 of 15 raised this
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly…” Show full quote
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly slipping two or three weeks before my reps admit it, that's the one thing that justifies the switch.”
Value
Strong13 of 15- Shown aboveReplace the implementation timeline claim with the actual migration steps and who does them.
Moves ValueAnswer the live objection
Add a trial-on-your-own-data offer next to the Salesforce sync claim.
Why: Buyers want to see MaxIQ run against their own pipeline before committing, and the page only offers a demo. Offer a pilot on their Salesforce instance and say what it requires.
3 of 15 raised this
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck…” Show full quote
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck fantasy with zero proof behind it”
Clarity
Strong15 of 15Relevance
Strong15 of 15Moves RelevanceName the audience
Name the buyer role in the hero subhead instead of leaving it to the logo strip.
Why: Readers infer the audience from customer logos and job titles further down the page. Say who this is for, RevOps leaders and CROs at enterprise software companies, in the opening lines.
1 of 15 raised this
“there's no line that says "built for RevOps leaders at mid-market SaaS companies" or similar, so I inferred the audience from the logos and titles rather than reading…” Show full quote
“there's no line that says "built for RevOps leaders at mid-market SaaS companies" or similar, so I inferred the audience from the logos and titles rather than reading it explicitly.”
Brand alignment
Strong12 of 15Moves Brand alignmentPlain language
Rename or subtitle the four IQ modules with the job each one does.
Why: InspectIQ, ForecastIQ, SuccessIQ and EchoIQ read as branding rather than products, and senior buyers cannot tell them apart. Put a plain four-word description of the job under each name.
3 of 15 raised this
“the "Maximus the dog" chatbot greeting and slogans like "Wonder why you didn't switch sooner" feel like they're written for a broader, more excitable buyer than a VP…” Show full quote
“the "Maximus the dog" chatbot greeting and slogans like "Wonder why you didn't switch sooner" feel like they're written for a broader, more excitable buyer than a VP who wants forecast variance numbers; that mismatch is a small tell that this is still a young company finding its voice with enterprise revenue leaders.”
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 gets read and rejected in the same pass: recognition is high, belief is not.
Six respondents found the problem and buyer obvious on the first screen, but six more rejected the single 15% claim as lacking baseline, sample size and definition, and three disbelieved the implementation timeline outright.
- high
The product architecture is doing negative work — the four module names actively cost credibility.
Three respondents read the similar module names as marketing filler that signal a category without detail, and three more said the names undercut senior executive positioning. The naming system is both unclear and off-brand.
- high
Customers are carrying the page because the copy cannot.
Four respondents said named quotes with titles and metrics were more believable than the surrounding product language. Credibility is outsourced entirely to third parties, so every unsourced claim reads as promotional by contrast.
- high
There is no displacement case, only a preference case — incumbents are never engaged.
Six respondents wanted explicit acknowledgment of existing Salesforce/Clari/Gong usage and deeper case studies; three others noted the modules fail to show which competitor product each replaces. Nothing tells a buyer what to rip out.
- high
The AI-native positioning is an unsupported assertion, not a differentiator.
Three respondents said the signals-based forecasting mechanism is never explained and the AI-native framing arrives without evidence; three more read RevOps buzzwords as promotional without proof. The central technical claim is unfalsifiable as written.
- medium
Migration silence is the deal-breaker, not pricing or features.
Three respondents rejected the implementation timeline as non-credible, said the tone ignores the operational reality of migrations, and demanded live testing against their own Salesforce data before any commitment.
Differentiation
One metric is not enough to justify displacing Clari or Gong
6 of 15
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly…” Show full quote
“A forecast number that actually holds up at quarter-end without me having to caveat it to the board — if deal scoring flags the deals that are quietly slipping two or three weeks before my reps admit it, that's the one thing that justifies the switch.”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated See all 6 comments
“to win, MaxIQ's page or a follow-up call would need to show a real methodology behind that 15% (deal volume, time period, forecast horizon) and ideally let me…” Show full quote
“to win, MaxIQ's page or a follow-up call would need to show a real methodology behind that 15% (deal volume, time period, forecast horizon) and ideally let me talk to Vast directly, because right now Clari has more market proof and I'd default to the safer name without that.”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated “A measurable drop in time-to-value or churn in the first 90 days post-handoff, tied to a customer who can show before/after numbers — not just "one shared view,"…” Show full quote
“A measurable drop in time-to-value or churn in the first 90 days post-handoff, tied to a customer who can show before/after numbers — not just "one shared view," but proof CS actually acted on sales' context and it changed a renewal outcome.”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated “I'd need a named CRO or VP RevOps quote tied to a board-level metric right in the hero — not further down the page — plus a line…” Show full quote
“I'd need a named CRO or VP RevOps quote tied to a board-level metric right in the hero — not further down the page — plus a line acknowledging they know I already run Salesforce and possibly Clari or Gong, so I know they've thought about displacement, not just adoption.”
Chief Revenue Officer, B2B SaaS · 501-1000 employeessimulated “no metric like "reduced time-to-first-CS-touch" or "% of accounts with complete deal context at handoff," just feature bullets.”
Head of Revenue Operations, SaaS · 501-1000 employeessimulated “"15%" with no baseline, no sample size, and no definition of how accuracy is measured is a claim I'd want validated in a pilot, not taken on faith”
VP of Revenue Operations, SaaS · 501-1000 employeessimulated
Value
Implementation and migration claims are not believed
3 of 15
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck…” Show full quote
“the "Switch to MaxIQ" day-by-day timeline ("Day 3: Connect Email, Zoom, Slack & 30+ apps... Day 7: 100% of forecasting moved to MaxIQ") reads like a sales deck fantasy with zero proof behind it”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated See all 3 comments
“the "Day 3/Day 7" onboarding graphic and the slightly breathless "wonder why you didn't switch sooner" copy feels like it's written by a growth marketing team optimizing for…” Show full quote
“the "Day 3/Day 7" onboarding graphic and the slightly breathless "wonder why you didn't switch sooner" copy feels like it's written by a growth marketing team optimizing for demo bookings, not by people who've sat through a Clari-to-something-else migration”
VP of Revenue Operations, SaaS · 501-1000 employeessimulated “I'd want to see the deal-scoring mechanism live against our own Salesforce data, not a demo deck”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated
Clarity
The mechanism behind signals-based forecasting is never explained
3 of 15
“it sounds like a real methodology but never says which signals (call sentiment, email cadence, CRM field changes?) or how they get weighted into a forecast number, so…” Show full quote
“it sounds like a real methodology but never says which signals (call sentiment, email cadence, CRM field changes?) or how they get weighted into a forecast number, so I can't tell if it's meaningfully different from Gong's deal scoring or just marketing language for the same thing.”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated See all 2 comments
“I'd call it a "revenue intelligence" or "RevOps platform" - the category is clear enough, but I couldn't tell you precisely how it beats what I already have…” Show full quote
“I'd call it a "revenue intelligence" or "RevOps platform" - the category is clear enough, but I couldn't tell you precisely how it beats what I already have without seeing the forecast accuracy numbers or a side-by-side against Gong.”
VP of Sales, Software as a Service · 501-1000 employeessimulated The four product names obscure rather than clarify what the platform does
3 of 15
“four product names (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) stacked on top of generic phrases like "unified data," "customer intelligence," and "one workspace" that don't tell me which of Gong's…” Show full quote
“four product names (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) stacked on top of generic phrases like "unified data," "customer intelligence," and "one workspace" that don't tell me which of Gong's or Clari's territory each piece actually replaces”
Chief Revenue Officer, B2B SaaS · 501-1000 employeessimulated See all 3 comments
“The four-product naming (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) tells me the category but not much about what's actually differentiated versus what I already run.”
Head of Revenue Operations, SaaS · 501-1000 employeessimulated “the four-module name soup (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) otherwise reads like marketing filler I'd tune out”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated Named customer quotes with titles and metrics do the credibility work, not the product…
4 of 15 · what worked
“The named logos — Snowflake, Commvault, Vast — and the specific quote about improving forecast accuracy by 15% is what actually makes me believe it does what it…” Show full quote
“The named logos — Snowflake, Commvault, Vast — and the specific quote about improving forecast accuracy by 15% is what actually makes me believe it does what it says, rather than the four product names (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) which mostly sound like marketing wrapping on the same core thing.”
Chief Revenue Officer, B2B SaaS · 501-1000 employeessimulated See all 4 comments
“Mike Gurdjian at Snowflake and Stephanie Joyce at Commvault are specific people at companies I recognize, saying specific things like "surfaces risks weeks before quarter-end" and "improved forecast…” Show full quote
“Mike Gurdjian at Snowflake and Stephanie Joyce at Commvault are specific people at companies I recognize, saying specific things like "surfaces risks weeks before quarter-end" and "improved forecast accuracy by 15%." That's checkable”
Head of Revenue Operations, SaaS · 501-1000 employeessimulated “The customer quotes (Snowflake's "noisy to reliable" forecasting, Vast's "15% forecast accuracy" improvement) are the only things that made this concrete for me”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated “The named-logo case studies with actual titles attached — Snowflake's "Director, Field Operations," Commvault's "AVP - SaaS Sales & Demand Gen," Vast's "President" — are what would tip…” Show full quote
“The named-logo case studies with actual titles attached — Snowflake's "Director, Field Operations," Commvault's "AVP - SaaS Sales & Demand Gen," Vast's "President" — are what would tip it over a competitor with only generic testimonials”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated
Relevance
The audience is implied by logos instead of stated
1 of 15
“there's no line that says "built for RevOps leaders at mid-market SaaS companies" or similar, so I inferred the audience from the logos and titles rather than reading…” Show full quote
“there's no line that says "built for RevOps leaders at mid-market SaaS companies" or similar, so I inferred the audience from the logos and titles rather than reading it explicitly.”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated The problem and the RevOps buyer register on the first screen
6 of 15 · what worked
“The hero line "AI-Native Revenue Intelligence Platform for RevOps... help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (forecast unreliability, pipeline…” Show full quote
“The hero line "AI-Native Revenue Intelligence Platform for RevOps... help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (forecast unreliability, pipeline blind spots) and the buyer (RevOps/Sales leadership) within the first screen.”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated See all 5 comments
“The header line - "AI-Native Revenue Intelligence Platform for RevOps" plus "help teams win deals, forecast accurately, and drive post-sales success and adoption" - tells me the problem…” Show full quote
“The header line - "AI-Native Revenue Intelligence Platform for RevOps" plus "help teams win deals, forecast accurately, and drive post-sales success and adoption" - tells me the problem area (pipeline blind spots, forecast inaccuracy, post-sale churn) and the audience (RevOps/sales/CS leaders) within a few seconds, no hunting needed.”
VP of Sales, Software as a Service · 501-1000 employeessimulated “the hero line "AI-Native Revenue Intelligence Platform for RevOps" plus "help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (messy forecasting,…” Show full quote
“the hero line "AI-Native Revenue Intelligence Platform for RevOps" plus "help teams win deals, forecast accurately, and drive post-sales success and adoption" told me the problem (messy forecasting, siloed pipeline/CS data) and the buyer (RevOps/Sales/CS leaders) within the first screen”
Director of Revenue Operations, Software as a Service · 501-1000 employeessimulated “within the first screen I know it's forecasting/pipeline/CS tooling for RevOps leaders, and the "GTM teams that run on MaxIQ" logo strip plus quotes from a CRO and…” Show full quote
“within the first screen I know it's forecasting/pipeline/CS tooling for RevOps leaders, and the "GTM teams that run on MaxIQ" logo strip plus quotes from a CRO and a "Director, Field Operations" confirm the buyer is revenue/ops leadership”
VP of Revenue Operations, SaaS · 501-1000 employeessimulated “The hero line "Total pipeline visibility. Zero surprises." plus "Call the right forecast and drive predictable revenue" told me within seconds this is about forecasting accuracy and pipeline…” Show full quote
“The hero line "Total pipeline visibility. Zero surprises." plus "Call the right forecast and drive predictable revenue" told me within seconds this is about forecasting accuracy and pipeline risk — that's my exact daily pain”
VP of Sales, Software as a Service · 501-1000 employeessimulated
Brand alignment
The voice reads young and promotional rather than enterprise-grade
3 of 15
“the "Maximus the dog" chatbot greeting and slogans like "Wonder why you didn't switch sooner" feel like they're written for a broader, more excitable buyer than a VP…” Show full quote
“the "Maximus the dog" chatbot greeting and slogans like "Wonder why you didn't switch sooner" feel like they're written for a broader, more excitable buyer than a VP who wants forecast variance numbers; that mismatch is a small tell that this is still a young company finding its voice with enterprise revenue leaders.”
VP of Sales, Software as a Service · 501-1000 employeessimulated See all 3 comments
“the four-module name soup (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) and the "Maximus 🐶" mascot line at the bottom feel like they're trying too hard to be approachable/product-led, which undercuts…” Show full quote
“the four-module name soup (InspectIQ, ForecastIQ, SuccessIQ, EchoIQ) and the "Maximus 🐶" mascot line at the bottom feel like they're trying too hard to be approachable/product-led, which undercuts the otherwise fairly senior, decisive pitch”
Senior Vice President of Sales, B2B SaaS · 501-1000 employeessimulated “Tone's aimed at me-ish - RevOps buzzwords - but too salesy, not enough proof”
VP of Revenue Operations, 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.
Senior Vice President of SalesB2B SaaS · 501-1000 employeesEU
Director of Revenue OperationsSoftware as a Service · 501-1000 employeesUS
VP of Revenue OperationsSaaS · 501-1000 employeesEU
Chief Revenue OfficerB2B SaaS · 501-1000 employeesUS
VP of SalesSoftware as a Service · 501-1000 employeesEU
Head of Revenue OperationsSaaS · 501-1000 employeesUS
Senior Vice President of SalesB2B SaaS · 501-1000 employeesEU
Director of Revenue OperationsSoftware as a Service · 501-1000 employeesUS
VP of Revenue OperationsSaaS · 501-1000 employeesEU
Chief Revenue OfficerB2B SaaS · 501-1000 employeesUS
VP of SalesSoftware as a Service · 501-1000 employeesEU
Head of Revenue OperationsSaaS · 501-1000 employeesUS
Senior Vice President of SalesB2B SaaS · 501-1000 employeesEU
Director of Revenue OperationsSoftware as a Service · 501-1000 employeesUS
VP of Revenue OperationsSaaS · 501-1000 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, all with reservations
- Relevance: 15 of 15, 4 without hesitation, 11 with reservations
- Value: 13 of 15, all with reservations
- Differentiation: 8 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.Replace "first AI platform" in the hero subhead with what MaxIQ does that forecasting tools do not.
- 2.Replace the implementation timeline claim with the actual migration steps and who does them.
- 3.Add one sentence under the hero explaining how signals produce a forecast number.
See what real buyers say.
A detailed, section-by-section message test report from verified B2B professionals who are actually in-market for what you sell.
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RetentionThis report is kept for 60 days, until 17 Nov 2026, then deleted along with the personas, their answers and everything derived from them. The link stays live for that whole period so it can be shared or revisited, and stops working afterwards.
The email address it was requested from is kept beyond that, because it subscribes you to the newsletter — that was the price of the report. You can unsubscribe in one click from any issue, which stops the email without affecting a report still inside its 60 days. The public report page never shows the requester’s address.
The email address it was requested from is kept beyond that, because it subscribes you to the newsletter — that was the price of the report. You can unsubscribe in one click from any issue, which stops the email without affecting a report still inside its 60 days. The public report page never shows the requester’s address.