Lead lists are not opportunities
Events, CSVs, and CRM exports give you names. They rarely explain who is commercially relevant, why they matter, or what should happen next.
Built for lead generation and opportunity teams
Turn lead lists into measurable business opportunities.
Verdict adds the missing business filter between raw names and real commercial progress: who to pursue, why they matter, and what to do next.
Campaign-fit ROI
Source-backed reasoning
Commercial next step
Opportunity workspace
Campaign ROI, recommendations, and next actions in one CRM view
3
campaigns
228
leads
43
opps
CampaignTypeScoreNext action
Enterprise AI roundtableEvent88/100Pursue workflow automation buyer
AI training cohortCourse81/100Invite operations lead to diagnostic
APAC consulting partnersBD list74/100Explore implementation partnership
Recommendation
Pursue leads with clear business context, strong campaign fit, and a next commercial step.
The Lead ROI Gap
Most lead generation stops before business value starts.
The expensive part is not collecting leads. It is finding which people can move the business forward and giving your team a credible reason to follow up.
Manual research does not scale
Teams lose hours checking profiles, websites, company context, and notes before they can even decide who deserves follow-up.
Generic outreach burns trust
If the reason to contact someone is unclear, outreach becomes noise. The missing layer is campaign-fit reasoning tied to your value proposition.
Workflow
From raw list to commercial next action.
The workflow is built around business progress. Define the campaign, enrich each lead, score fit against your value proposition, and move the best opportunities into follow-up.
Imported leads.csv
Name, company, title, source, notes
Hu Kenneth - Founder / Advisor
Enterprise AI transformation campaign
AI lead analysis
Fit, sources, recommendation, next action
Hu Kenneth
AI x Stablecoin x Digital Asset Builder
Strong fit for an enterprise AI infrastructure conversation when framed around practical implementation and commercial outcomes.
Outreach angle
Connect AI transformation to implementation, infrastructure, and measurable business progress.
Recommendation: pursue with a specific business angle
Demo proof
Show the decision, not just the data.
The interactive demo shows the real output shape first: campaign fit score, recommendation, reasoning, objection, outreach angle, next action, and sources reviewed.
3 leads
Analyzed in one controlled demo run
4 outcomes
Pursue, Nurture, Deprioritize, or Drop
1 next step
A commercial action for each lead
Recommendation
Pursue
Strong strategic fit for an enterprise AI infrastructure or consulting conversation.
Campaign Fit
88
/100 High
This lead appears valuable because their public positioning and company context create a credible opening for AI transformation, infrastructure, and advisory conversations.
Outreach angle
Lead with practical enterprise AI infrastructure, then ask whether a workflow or client opportunity is worth exploring.
Possible objection
May ignore a generic AI pitch unless it references a specific commercial use case.
Next action
Send a personalized LinkedIn DM focused on business transformation and implementation readiness.
Sources reviewed
Public profile, company context, and supplied campaign value proposition.
Use cases
Start where your leads already are.
The product supports multiple campaign types. Luma is one strong example for events, but the same workflow also works for paid courses, consultants, BD teams, and manual account research.
Luma event campaigns
Use a Luma event page or attendee CSV as the starting point for customer, partner, referral, and strategic follow-up.
Enterprise training leads
Score potential participants and company accounts for AI training, executive workshops, and enablement programs.
Manual CRM research
Import a target account list, enrich company context, and decide who deserves human follow-up first.
BD and partnership pipeline
Track warm relationships, collaboration angles, objections, and next actions across campaigns.
Process
A repeatable ROI filter, not another spreadsheet.
Whether the source is Luma, a paid course list, a spreadsheet, or manual research, each campaign follows the same operating rhythm from import to prioritized follow-up.
1
Define the commercial goal
Set campaign goal, value proposition, and organizer context.
2
Import leads or event data
Use attendee exports, course leads, CRM lists, or manual research.
3
Enrich with public context
Normalize names, companies, roles, ticket types, and notes.
4
Score campaign fit
Generate campaign fit, recommendation, objection, and next action.
5
Decide the next action
Decide whether to pursue, nurture, deprioritize, or drop.
6
Track or export the opportunity
Move context into the CRM or export it for the team.
AI analysis
Explain why a lead can create business value.
The goal is not to generate more names. It is to help the team understand which people are relevant to this campaign, what commercial path they represent, and what evidence supports the recommendation.
Campaign fit
Outreach angle
Objection handling
Next action
Sample lead analysis
Enterprise AI consulting campaign
Recommendation
Pursue
Strong strategic fit for enterprise AI infrastructure or consulting follow-up.
Campaign fit
88 / 100
Relevant role, company context, and public signals match the campaign value proposition.
Possible objection
Too generic
Avoid broad AI transformation language; reference one concrete workflow or implementation use case.
Next action
LinkedIn DM
Ask whether there is a practical workflow or client opportunity worth exploring.
Enterprise trust
Lead intelligence needs controls, not just automation.
The product is designed around reviewable recommendations, configurable providers, and human-controlled outreach so teams can move faster without turning relationship-building into a black box.
No-save anonymous demo
Raw lead data is not saved by the demo usage limit system. Anonymous usage is capped before any expensive analysis runs.
Source-aware recommendations
When Exa is enabled, results can show sources reviewed so teams can inspect why a recommendation was made.
Provider configurable
Run analysis through mock mode, OpenAI, OpenRouter, or DeepSeek depending on cost, latency, and deployment needs.
Human decides before outreach
The product recommends who to pursue and how to approach them. Your team approves the message and owns the relationship.
CRM workspace
A campaign-first CRM for commercial progress.
Track contacts, companies, opportunities, notes, feedback, and AI-generated recommendations inside the campaign where the relationship started.
ContactCompanyTypeScoreNext action
Lena ZhouBright DataPartner88/100Explore AI data pipeline use case
Daniel TanSignal FoundryPartner74/100Follow up with pilot scope
Maya LimNorthstar CloudCustomer68/100Nurture with workflow automation angle
Handoff
Move from recommendation to action without losing context.
Export is not the main product; it is the handoff layer. The value is that every lead carries the recommendation, score, reasoning, sources, next action, and campaign context your team needs to follow up intelligently.
Flat lead file
Contacts, companies, campaign, score, stage, and next action.
CRM templates
Planned mappings for HubSpot, Salesforce, Pipedrive, and Attio.
Audit trail
Keep source notes, confidence, and AI reasoning available for review.
FieldStatusExample
recommendationReadyPursue
lead_scoreReady88/100
outreach_angleReadyFounder/advisor positioning
next_actionReadySend personalized LinkedIn DM
Pricing
Start free, upgrade when you need more runs.
Paid plans renew your credits every billing cycle. Need more right now? Buy a top-up pack any time - those never expire.
Free
$0
Get started, no card required
- 200 AI analysis credits, one-time
- Full CRM: campaigns, contacts, companies, opportunities
- CSV import and export
Pro
USD 49 / month
Billed via Stripe
- 1000 AI analysis credits every month
- Everything in Free
- Priority support
Enterprise
USD 199 / month
Billed via Stripe
- 25,000 credits every month
- Everything in Pro
- Priority support
Ready for review
Find out which leads can move the business.
Try the no-save demo, review the output, and see how campaign-fit recommendations can become qualified business opportunities.