Most B2B sales teams spend 6-8 hours per week per rep manually searching for decision-maker contact information, only to find that 40-60% of the data is outdated, incorrect, or leads to gatekeepers instead of buyers.
Most B2B sales teams spend 6-8 hours per week per rep manually searching for decision-maker contact information, only to find that 40-60% of the data is outdated, incorrect, or leads to gatekeepers instead of buyers.
Here's what's actually happening:
| Factor | Traditional Method | AI Method |
|---|---|---|
| Approach | Buy ZoomInfo or Apollo lists, manually verify contacts on LinkedIn, cross-reference with company websites, test phone numbers | AI reads company websites, LinkedIn profiles, org charts, and public records to identify decision-makers and verify contact information in real-time |
| Time Required | 23 minutes per verified contact | 2-3 minutes per verified contact |
| Cost | $12,000-18,000/year per rep in data tools | $3,000-4,500/month for full done-for-you service |
| Success Rate | 40-60% contact accuracy | 98% contact accuracy |
| Accuracy | 53% reach wrong person or gatekeeper | 92% reach intended decision-maker |
40% of sales reps
Say prospecting is the most challenging part of the sales process, with finding accurate contact information cited as the #1 time drain. AI contact finding eliminates 87% of this manual research time.
HubSpot Sales Strategy & Trends Report 2024
27% of contact data
Becomes outdated every year as people change jobs, phone numbers, and email addresses. Traditional databases can't keep up - AI verifies contacts in real-time before every outreach.
Salesforce State of Sales Report 2024
Companies using AI for prospecting
Report 73% higher connect rates because they're reaching the right person with verified contact information, not gatekeepers or outdated numbers.
Gartner Sales Technology Survey 2024
Sales reps spend only 28%
Of their time actually selling - the rest is administrative work, with contact research consuming 18% of their week. AI contact finding reclaims 15+ hours per rep per month.
LinkedIn State of Sales Report 2024
AI reads company websites, LinkedIn profiles, org charts, and public records to identify decision-makers and verify contact information in real-time
The key difference: AI doesn't replace the human element - it handles the low-value research work so experienced reps can focus on high-value strategic calls.
We analyze 'About Us,' 'Leadership,' and 'Team' pages to identify who actually holds decision-making authority. A company might list a 'VP of Sales' on LinkedIn, but their website shows a 'Chief Revenue Officer' who's the real buyer. We catch these discrepancies that waste your reps' time.
People change jobs every 18-24 months on average. We verify LinkedIn profiles in real-time before every outreach to catch recent job changes, promotions, or departures. This prevents the embarrassing 'they left 3 months ago' conversation that kills credibility.
Every company has email patterns: firstname.lastname@, flastname@, or firstname@. We analyze known emails from the company to identify the pattern, then construct and verify the decision-maker's email. This works even when the email isn't publicly listed anywhere.
We distinguish between main switchboard numbers and direct dials. A '555-1234' main number forces your rep through gatekeepers. A '555-1287' direct extension reaches the decision-maker immediately. We test and verify which numbers are direct lines before your team ever dials.
Job titles lie. A 'Director of Sales' at a 50-person company has more authority than a 'VP of Sales' at a 5,000-person enterprise who reports to a CRO. We map reporting structures to identify who actually has budget authority and decision-making power.
We track LinkedIn activity, content engagement, and public appearances to identify who's active and reachable. A VP who posted yesterday is more likely to respond than one whose last activity was 6 months ago. We prioritize contacts showing recent engagement signals.
Whether you use us, build in-house, or choose a competitor - ask these questions to avoid paying for bad data that wastes your team's time.
Many tools claim 'verified' but just mean 'we found it somewhere online.' Ask: What's the verification process? How recently was it checked? What's your wrong-number rate? A tool with 70% accuracy means 30% of your calls are wasted before you even dial.
27% of contacts become outdated annually. Ask: How often do you refresh data? Do you verify contacts in real-time before outreach? What happens when someone changes jobs mid-campaign? Static databases guarantee you'll call people who left months ago.
A main switchboard number forces your reps through gatekeepers who block 80% of calls. Ask: What percentage of contacts include direct dial numbers? How do you distinguish direct lines from main numbers? Direct dials are worth 3x more than switchboard numbers.
Job titles don't reveal authority. Ask: How do you map organizational hierarchy? Can you identify budget authority? Do you distinguish between recommenders and approvers? Calling influencers instead of decision-makers adds 3-6 weeks to your sales cycle.
A phone number without context is useless. Ask: Do you provide background research? Talking points? Recent company news? Organizational context? Your reps need ammunition for conversations, not just numbers to dial.
A $60M manufacturing software company had 4 SDRs spending 8 hours weekly each on contact research. They'd pull lists from ZoomInfo, manually verify contacts on LinkedIn, cross-reference with company websites, and test phone numbers. Despite this effort, 43% of their calls reached wrong numbers, gatekeepers, or people who'd left the company. Their SDRs were frustrated, and their connect rate was stuck at 12%. The team was considering hiring a 5th SDR just to keep up with research demands.
Within 2 weeks of implementing AI contact finding, their connect rate jumped to 34% - nearly 3x improvement. SDRs reclaimed 6+ hours weekly previously spent on research, allowing them to increase daily dials from 40 to 75. More importantly, they were reaching actual decision-makers with budget authority, not gatekeepers or junior staff. Meeting conversion improved by 67% because conversations happened with the right people. They cancelled plans to hire a 5th SDR, saving $85,000 annually.
Week 1: Uploaded existing prospect list of 2,400 companies - AI identified 3,847 decision-makers across target accounts
Week 2: AI verified contact information for all 3,847 contacts - found 94% had accurate phone/email, flagged 6% as outdated
Week 3: SDRs began calling with verified contacts and AI-prepared talking points - connect rate jumped from 12% to 31%
Week 4: Team hit 52 qualified meetings (previous record was 28) - all with verified decision-makers
Month 2+: Continuous contact verification before every campaign - wrong number rate dropped from 43% to 6%
We've already built the AI contact finding system, integrated 12+ data sources, and perfected verification workflows over 3 years and 2.4 million contacts. You get verified decision-maker contacts starting in week 1 - not 6-8 months from now when you've built it yourself.
Working with Fortune 500 distributors and semiconductor companies. Same system, your prospects.
Get Started →Stop calling gatekeepers and junior staff. Here's how AI finds the actual decision-makers with budget authority to help you find verified contacts with AI contact finding.
Upload your target account list - existing CRM data, wish list companies, or just industries and company sizes you want to reach to achieve find verified contacts with AI contact finding.
AI analyzes company websites, LinkedIn, and public records to map reporting structures and identify who has actual budget authority - not just impressive titles.
From 15 potential contacts at a company, AI identifies the 2-3 decision-makers who have both budget authority AND verified contact information available right now.
The biggest waste of time isn't finding contacts - it's calling outdated numbers and bounced emails to help you find verified contacts with AI contact finding.
VP Sales - Sarah Chen: LinkedIn shows current role, but phone number is from previous company (disconnected)
CRO - Michael Torres: Email address found online, but it bounces (left company 4 months ago)
Director Revenue Ops - Lisa Park: Phone number reaches main switchboard, not direct line (gatekeeper blocks call)
VP Sales - David Kim: Current role verified, direct dial confirmed, email deliverable = Perfect!
AI checks LinkedIn, company websites, and public records to verify the person is still in their current role - catches job changes within 48 hours
Tests every phone number to distinguish direct dials from switchboards, identifies disconnected numbers, and flags mobile vs office lines
Verifies email addresses are active and accepting mail - catches bounces, role changes, and company email pattern changes before you send
Ranks contacts by verification recency - prioritizes contacts verified in last 7 days over those checked 90 days ago
A phone number without context is useless. AI prepares everything your reps need for productive conversations to help you find verified contacts with AI contact finding.
"Sarah Chen has been VP of Sales at TechFlow for 14 months (past the learning curve, has budget authority). She previously led sales at DataSync (similar company size). Reports directly to CEO Marcus Williams. Team of 28 sales reps recently expanded from 18."
"TechFlow raised $12M Series B four months ago. Currently hiring 5 sales roles (scaling signal). Uses Salesforce + Outreach (tech-forward). Recent press mentions expansion into healthcare vertical. Main competitor is StreamAPI."
"Hi Sarah, I noticed TechFlow just expanded your sales team by 55% after your Series B - congratulations. Most VPs tell me that maintaining rep productivity during rapid scaling is their biggest challenge. Is that on your radar?"
"We helped StreamAPI (your competitor) increase their qualified pipeline by 3.2x when they scaled from 20 to 45 reps last year. Their VP of Sales, Jennifer Martinez, said the biggest win was reclaiming 12 hours per rep per week previously spent on prospecting busywork."
AI prepares contact verification, company intelligence, and personalized talking points for every decision-maker to help you find verified contacts with AI contact finding.
With verified contacts and prepared context, AI ensures every dial reaches the right person and contact data stays current to help you find verified contacts with AI contact finding.
Before every campaign, AI re-verifies contacts to catch recent job changes. Prevents embarrassing 'they left 3 months ago' conversations that kill credibility.
AI prioritizes contacts with verified direct dial numbers over switchboard numbers. Your reps reach decision-makers immediately, not gatekeepers.
Every disconnected number, wrong person, or gatekeeper is logged and flagged. AI learns which data sources are most reliable and adjusts accordingly.
Contact data degrades 27% annually. AI continuously monitors and updates contact information so your team always has current data.
AI re-verifies all active contacts in your campaigns - checks for job changes, phone updates, email changes
"Detected: Sarah Chen changed roles from VP Sales to CRO - updated title and verified new direct dial number"
AI logs call outcomes - wrong number, gatekeeper, left company - and flags contact for re-verification
"Rep reported 'left company' - AI found new role at different company, updated contact record with new information"
AI audits contact accuracy across all campaigns - identifies data sources with declining quality
"Data source accuracy dropped from 94% to 87% - AI adjusted verification criteria and switched to higher-quality sources"
Continuous monitoring of LinkedIn, company websites, and public records for job changes and promotions
"Real-time alerts when target contacts change jobs, get promoted, or move to new companies in your ICP"
AI maintains 98% contact accuracy through continuous verification and real-time updates - your team only calls verified, current decision-makers to help you find verified contacts with AI contact finding.
We've spent years perfecting the AI-powered prospecting system. Our dedicated team runs it for you - handling everything from qualification to booked meetings. You just show up and close.
We built the perfect AI-driven prospecting system. Now our dedicated team runs it for you.
Our AI analyzes thousands of companies to find only those that match your ICP - before we ever pick up the phone.
Recent news, trigger events, pain points, tech stack - we know everything before making contact.
Our trained team handles all outreach - email, LinkedIn, and phone - using proven scripts and perfect timing.
Qualified prospects are scheduled directly on your calendar. You just show up and close.
Full reporting on activity, response rates, and pipeline generation - complete transparency.
Every week we refine messaging, improve targeting, and increase conversion rates.
See why outsourcing prospecting delivers better results at lower cost
Your team with random prospecting
200 conversations/month
Our strategic approach
3,000 conversations/month
2,800 more quality conversations per month
The math is simple when you break it down
Your Closers Close
Stop asking expensive AEs to prospect. Let them do what they do best while we fill their calendars.
Tell us about your sales goals. We'll show you how to achieve them with our proven system.