AI-Powered Trade Show Pre-Outreach Platform

AI agent that finds decision-makers at trade shows and automates pre-event outreach to book meetings before you arrive.

Build

The pain point is real: trade show leads are expensive and often wasted. Lensmor solves the pre-show outreach gap with verified contacts and AI-driven campaigns. The hard part is data accuracy at scale and getting event organizers to allow scraping. Distribution depends on sales teams already spending on events. For this to work, the contact verification must stay above 90% and the AI outreach must not feel spammy.

Quick Metrics

Entry Difficulty

Medium80%

Data scraping and verification are technically challenging

Time to MVP

14–28 days

Scrape exhibitor lists, verify emails, basic outreach

Time to First $

72–120h

Sell credits to sales teams for a specific event

Opportunity Breakdown

Opportunity

8/10

Strong

Large TAM in event-driven sales

Problem

7/10

Severe

Booth traffic is inefficient

Feasibility

7/10

Achievable

APIs for scraping and email exist

Why Now?

Superpowers Unlocked

8/ 10

AI outreach is now acceptable

Cultural Tailwinds

7/ 10

Post-pandemic events booming

Blue Ocean Gap

6/ 10

Few AI-native pre-show tools

Ship Now or Regret Later

7/ 10

First mover advantage in niche

Creator Economy Boost

3/ 10

Not creator-focused

Economic Pressure

6/ 10

ROI pressure on event spend

Heuristic scoring based on model judgment, not factual measurement.

Scorecard

Strength Profile

Demand

8.0/10

Sales teams actively seek pre-show leads

Problem Severity

7.0/10

Booth traffic is unreliable; pipeline depends on luck

Monetization Readiness

8.0/10

Teams already spend on events; budget exists

Competitive Gap

6.0/10

Some tools exist but not AI-automated outreach

Timing

8.0/10

Post-pandemic events are back; AI hype helps adoption

Founder Fit

7.0/10

Technical founder can build MVP with APIs

Revenue Criticality

8.0/10

Directly generates meetings and pipeline

Risk Profile

Operational Complexity

Moderate complexity

Data scraping and email verification needed

Liquidity Risk

Low risk

Self-serve credits; low upfront capital

Regulatory Risk

Moderate risk

Email outreach must comply with CAN-SPAM/GDPR

Lower values indicate lower risk.

Demand Signals

Sales teams spend billions on trade shows but complain about ROI.

LinkedIn posts about 'how to book meetings before a trade show' get high engagement.

Existing tools like ZoomInfo are used but not tailored for events.

Event organizers promote 'pre-schedule meetings' features, indicating demand.

Freemium model with credits lowers barrier; Lensmor already has users.

AI email outreach tools are growing rapidly (e.g., ChatGPT for sales).

Insights

Sales teams spend $25B+ annually on trade shows but lack pre-show tools.

Exhibitor lists are public; scraping is feasible but requires scale.

AI email outreach is becoming normalized; personalization is key.

Event organizers may block scraping; legal risk is moderate.

95% email accuracy claim is ambitious; verification is the moat.

Integration with CRM (Salesforce, HubSpot) increases stickiness.

Competitors like Zoominfo and Lusha provide contacts but not outreach.

Free tier with 2000 credits lowers barrier for trial.

Risks

Event organizers may block scraping or sue for data usage.

Email verification accuracy may degrade, hurting trust.

Sales teams may prefer existing tools like ZoomInfo.

AI-generated emails may be flagged as spam, reducing deliverability.

Superpowers

Focus on pre-show outreach automation, not just data.

AI personalization at scale for each exhibitor.

Credit-based pricing aligns with event budgets.

First-mover advantage in AI-native trade show tool.

Made Not Sold