Maximize deal value.
Protect your sales team’s time for the highest-value opportunities.
Businesses spend billions creating demand, but most only understand its quality after sales teams, CRM systems, and automation have already invested time and money. Demand Verity gives businesses the intelligence to understand demand before committing resources.
Not another lead score. A decision before execution.
Most companies fill their pipeline by capturing inbound demand, then start execution immediately. A visitor submits a form, workflows trigger, CRM records fill, and salespeople reach out.
Only later does anyone find out whether that demand was real, ready, or worthwhile. We call this gap Unknown Demand.
By the time the business discovers demand quality, sales time is spent, CRM costs are incurred, and marketing budgets have been wasted.
Every system downstream is automated. That means every wrong submission is acted on in every system at once, before a person has looked at it.
Read: What is unknown demand?Illustrative. Put in your own numbers in Your Numbers.
Analytics and attribution tools explain what happened after the fact. CRM and automation manage demand once it’s captured. Traditional lead scoring ranks contacts after they arrive. Demand Verity is different: it evaluates inbound demand before you act. DV answers the crucial question: “Should this demand receive our resources?”
| System | Question it answers | Where it operates |
|---|---|---|
| Analytics / BI | What happened with traffic? | Post-execution, after the data |
| Attribution | Which channels influenced it? | Campaign reports |
| Lead Scoring | Which lead ranks higher? | In the CRM, after submission |
| Fraud Detection | Is this submission fake? | At capture or later |
| Demand Verity | Should this demand get resources? | Before execution |
Demand Verity analyzes every inbound submission across four dimensions to reach a verdict. Instead of a single score, DV builds a contextual story of Origin, Journey, Intent, and Trust.
Analyzes the first known touch, including referrers, UTM campaigns, click IDs and AI search referrals.
Maps the pages and content they viewed, in order, before submitting.
Weighs research depth, return visits, and pricing and demo page behavior.
Verifies the email, phone, IP and company, checks how the form was filled, and flags anomalies.
A form tells you who raised a hand. DOI tells you the journey behind it. Typical pipelines only see demand when a form is submitted. Demand Origin Intelligence is a DV module, included on Scale and Enterprise and available as an add-on on Launch and Growth, that reconstructs the pre-contact journey of every inbound lead.
The AI answer, the article and the two visits to pricing that started this deal do not show up anywhere. Next quarter’s budget goes to the wrong place.
After analyzing evidence, DV issues one of three operational decisions for each piece of demand. These decisions make sure resources are allocated wisely.
Proceed with sales and automation confidently.
The demand shows strong evidence and readiness.
Validated demand. Prioritize immediate sales follow-up.
Hold off costly actions. Nurture it until it is ready.
The demand has some intent signals but needs maturity.
Hold for additional qualification. Route to nurture, soft follow-up, or manual review before escalation.
Keep it out of sales follow-up and automation.
The demand lacks sufficient trust or intent. It still reaches your CRM, labeled, and nothing is deleted.
Do not prioritize for sales execution. Keep suppressed from immediate follow-up unless manually reviewed.
DV checks how every form was filled: timing, pasting and edits. That evidence is weighed with the visitor’s journey and verified identity. It never decides a verdict on its own.
Typed at a human pace, with a journey behind it. A good sign, but still checked against identity and intent.
Message written with AI and pasted in. Using AI to write never counts against a real buyer. The journey and identity decide.
Filled by a script, with no journey behind it. A strong warning sign. DV weighs it with identity, network and the rest of the evidence, and can DELAY or FILTER the submission.
Different stakeholders see different problems. DV’s decision layer delivers benefits to each of them.
Protect your sales team’s time for the highest-value opportunities.
Focus spend on the demand sources and campaigns that produce credible signals.
Give reps higher-quality leads to work, and fewer dead ends.
Enforce a data-driven intake process before workflows trigger.
SDRs start the day with the ACT list, not every demo request.
Clients get clean records, and you can show where their demand really started.
Consultation calls go to requests with real research behind them.
ACT books the call. The curious get nurture first.
When captured as eligible demand events, abandoned carts and failed payments can receive a DV verdict too, so recovery effort goes to real buyers.
Every form gets a verdict before anyone spends time on it.
Demand Verity is not static. Each ACT, DELAY and FILTER decision is compared with the real outcome when it comes back from your CRM or spreadsheet. DV uses those recorded outcomes to evaluate signal reliability and source trust, so over time it learns which signals truly predict value. Changes to scoring weights are released as separately versioned configurations, never silently.
Decisions feed outcomes. Outcomes refine decisions.
No invented industry averages. Put in your own numbers and see what your team spends on submissions that were never real or ready.
Plus the automation sends, CRM cleanup and misleading conversion data that come with the same submissions. Example values shown; change them to yours.
Covers up to 500 validations a month. You entered 400 submissions.
Demand Verity is a Demand Decision Layer: an evaluation step between demand capture and revenue execution. It checks every inbound form submission before your CRM, automation or sales team acts on it, and gives it a verdict: ACT, DELAY or FILTER, with a short operational note telling your team what to do next. Instead of every submission triggering sales calls, sequences and CRM records, DV decides first whether it deserves resources now, later, or not at all.
Most teams only learn whether demand was real after they have paid to act on it. Reps call people who were never going to buy, sequences run on fake contacts, and junk records distort pipeline numbers. DV makes the decision before that spend happens.
Lead scoring ranks records after they are already in your CRM and leaves the interpretation to your team. DV works at the moment of submission, before execution, and uses origin, journey, intent and trust evidence to make an operational decision, not a number.
Demand Origin Intelligence is a DV module, included on Scale and Enterprise and an add-on on Launch and Growth, that reconstructs what happened before a form fill: first known touch, research path, intent maturity and the evidence behind each claim. Your sales team gets the story behind the lead before the first conversation.
No. DV sits before your CRM and works with it. Every submission reaches your CRM, autoresponder or Google Sheet with its verdict and note, so your existing workflows act on the decision.
DV checks how every form was filled, including timing, pasting and edits, and weighs that against the visitor's real journey and verified identity. How a form was filled never decides a verdict on its own, so a real buyer who writes with AI is not penalized.
ACT means the demand is validated enough to act on now. DELAY means it is uncertain or incomplete, so hold it for nurture or review. FILTER means it is weak, fake or suspicious, so keep it out of sales follow-up and automation. Nothing is deleted.
By validations per month, not by seats. A validation is one form submission that DV checks and decides on.
Book a demo and see how DV decides before your team spends time.