Most B2B sales teams waste 6-8 hours per week per rep chasing outdated contact information from traditional databases, with 40-60% of contacts being wrong numbers, outdated emails, or incorrect decision-makers.
Most B2B sales teams waste 6-8 hours per week per rep chasing outdated contact information from traditional databases, with 40-60% of contacts being wrong numbers, outdated emails, or incorrect decision-makers.
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, hope the phone numbers work | AI reads company websites, LinkedIn profiles, org charts, and public data to identify current decision-makers with verified contact information in real-time |
| Time Required | 6-8 hours per rep per week on research and verification | 15 minutes of strategic oversight per week |
| Cost | $4,200-8,500/month for data tools plus research time | $3,000-4,500/month all-inclusive |
| Success Rate | 40-60% contact accuracy | 98% contact accuracy |
| Accuracy | 23 dials to reach one decision-maker | 3-4 dials to reach decision-maker |
45% of contact data
Decays annually as people change jobs, get promoted, or switch companies. Traditional databases can't keep up with this churn rate, meaning nearly half your list is wrong within 12 months.
Salesforce Research State of Sales 2024
Only 17% of sales reps
Say they can easily find accurate contact information for decision-makers. The rest spend hours manually researching, verifying, and updating records before making calls.
LinkedIn State of Sales Report 2024
63% of sales time
Is spent on non-selling activities like data entry and research. Top performers who use AI for contact finding spend 40% more time in actual conversations with prospects.
HubSpot Sales Productivity Benchmark Study
Companies using AI for prospecting
Report 73% higher connect rates because they're calling the right person with verified contact information, not wasting dials on outdated numbers or wrong decision-makers.
Gartner Sales Technology Survey 2024
AI reads company websites, LinkedIn profiles, org charts, and public data to identify current decision-makers with verified 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.
AI reads full LinkedIn profiles to verify current title, tenure, and scope of authority. A 'VP Sales' who joined 3 months ago is still learning; one with 18+ months tenure has budget authority. We also analyze their activity, posts, and engagement to gauge their priorities and pain points right now.
AI maps the entire organizational structure from LinkedIn connections, company pages, and public filings. This reveals who reports to whom, who has final budget authority, and who influences decisions. For complex sales, we identify the entire buying committee, not just one contact.
AI verifies phone numbers and email addresses in real-time using multiple validation services. We check if numbers are active, if emails bounce, and if contacts have recently changed. This eliminates the 40-60% waste rate from traditional databases that never verify their data.
AI tracks job changes, promotions, and role expansions in real-time. A newly promoted VP is actively building their team and processes - perfect timing for outreach. Someone who just changed companies is settling in - we wait 90 days before reaching out.
Many decision-makers aren't on LinkedIn or have minimal profiles. AI reads company leadership pages, press releases, and news articles to identify executives and verify their current roles. We cross-reference multiple sources to ensure accuracy.
AI tracks what content decision-makers engage with on LinkedIn, what they post about, and what topics they comment on. A VP Sales posting about pipeline challenges is signaling their pain points. We use this intelligence to personalize outreach and time our approach perfectly.
Whether you build in-house, buy a tool, or use our done-for-you service - ask these questions to avoid the most common failures in AI contact finding.
Most tools scrape LinkedIn once and never update. Ask: How often is data refreshed? What's the verification process for phone numbers and emails? What's your bounce rate? A tool claiming '250M contacts' with annual updates means 45% of that data is already wrong.
Finding 'a contact' is easy. Finding the person with budget authority is hard. Ask: How does the AI determine who has decision-making power? Can it map org charts? Does it distinguish between influencers and final approvers? Calling the wrong person wastes everyone's time.
No system is 100% accurate. Ask: What's your accuracy rate? How do you handle errors? Who's accountable when we call the wrong person? Do you offer credits or refunds? The answer reveals whether they stand behind their data or just sell access to a database.
A phone number alone doesn't help you have a meaningful conversation. Ask: Does the AI provide talking points? Does it explain why this person is the right contact? Does it identify their pain points and priorities? Context is what turns a cold call into a warm conversation.
Some tools require data scientists to configure, others need constant manual verification. Ask: What's the learning curve? How much time does setup take? What ongoing maintenance is required? A 'simple tool' that needs 20 hours of weekly management isn't simple.
A $60M enterprise software company had three SDRs spending 30+ hours weekly researching contacts. They'd pull lists from ZoomInfo, manually verify on LinkedIn, cross-reference with company websites, and still ended up calling wrong numbers 40% of the time. When they did reach someone, it was often a mid-level manager who couldn't make decisions. Their connect rate was 4%, and they needed 23 dials to reach one actual decision-maker. The team was frustrated, turnover was high, and pipeline was suffering because reps spent more time researching than selling.
Within two weeks of implementing AI contact finding, their connect rate jumped to 28% - a 7x improvement. More importantly, 94% of conversations were with actual decision-makers who had budget authority. SDRs went from 30 hours of research to zero - AI delivered verified contacts with full context automatically. The team now makes 50+ dials per day instead of 25, and each conversation is with the right person. Pipeline increased 3.2x in the first quarter, and SDR satisfaction scores went from 4.2 to 8.7 out of 10.
Week 1: AI analyzed their target account list of 2,400 companies and identified 1,847 current decision-makers with verified contact information
Week 2: First outreach campaign launched with AI-prepared talking points for each contact - connect rate was 26% vs. their historical 4%
Week 3: AI identified 23 job changes in their target accounts and automatically updated contact records before reps wasted dials on old numbers
Week 4: Team booked 34 meetings vs. their previous average of 11 - all with verified decision-makers, not gatekeepers or wrong contacts
Month 2+: Continuous monitoring as AI tracked promotions, job changes, and new hires in target accounts, ensuring contact data stayed current
We've already built the AI contact finding system, integrated all the data sources, and perfected the verification process over three years and 2.4 million contacts. You get verified decision-maker contacts with full context starting in week 2 - not 6-9 months from now after you've built it yourself.
Working with Fortune 500 distributors and semiconductor companies. Same system, your prospects.
Get Started →Stop calling receptionists and mid-level managers. Here's how AI finds the actual person with budget authority and decision-making power.
AI works with any input - your CRM, a wish list, or just target industries. Even if you only have company names, AI will identify the right contacts.
For each company, AI reads LinkedIn, company websites, press releases, and public filings to map the entire organizational structure and identify who has authority.
AI doesn't just find 'sales contacts' - it identifies who has budget authority, who influences decisions, and who can actually say yes to your solution.
Having a name isn't enough. AI verifies phone numbers and emails are current, active, and actually reach the decision-maker.
VP Sales - Sarah Chen: LinkedIn shows current role, but phone number is from previous company
CRO - Michael Torres: Email address found, but it bounces - he left the company 2 months ago
Director Revenue Ops - Lisa Park: Contact info is current, but she was just promoted - now reports to CRO
VP Sales - James Wilson: All contact info verified and current - perfect target!
AI cross-references contact information across LinkedIn, company websites, email validation services, and phone verification databases
AI tracks promotions, role changes, and company moves daily - updating contact records before your reps waste dials on outdated information
Every email is checked for deliverability, every phone number is verified as active and correctly formatted for the region
AI confirms current reporting structure and budget authority - ensuring you're calling someone who can actually make decisions
A verified phone number is just the start. AI provides full context so your reps know exactly what to say to each decision-maker.
"VP Sales, 18 months tenure, reports directly to CEO. Budget authority confirmed - hired 12 new reps in last 6 months, indicating active investment in sales growth."
"Recent LinkedIn post about 'scaling challenges with new rep productivity.' Company job postings show 5 open sales roles - clear growth mode but struggling with ramp time."
"Hi Sarah, I noticed TechFlow is scaling fast - 12 new reps in 6 months is impressive. Most VPs tell me their biggest challenge is getting new reps productive quickly. Is that on your radar?"
"We helped StreamAPI - similar size, similar growth trajectory - cut new rep ramp time from 4 months to 6 weeks. Their VP Sales said it was the difference between hitting and missing their year."
AI provides verified contact info plus complete context: authority level, pain signals, recent activity, and personalized talking points for every decision-maker.
Contact data decays 45% annually. AI continuously monitors your target accounts to keep contact information current without any manual work.
AI tracks promotions, role changes, and company moves across all your target accounts. When a decision-maker changes, you know immediately.
When AI detects a change, it automatically updates your CRM with new contact information and alerts your team to adjust outreach.
When a new VP Sales or CRO joins a target account, AI alerts you within 24 hours - perfect timing for outreach as they build their team.
Traditional databases go stale within months. AI keeps your contact data current automatically, so your team always calls the right person.
AI monitors LinkedIn, company websites, and news for job changes across all target accounts
"Sarah Chen promoted to SVP Sales at TechFlow - AI updates her title and authority level"
AI re-verifies phone numbers and emails for all active prospects to catch changes before your reps dial
"Michael Torres's email now bounces - AI finds his new contact info at his new company"
AI identifies new decision-makers who joined target accounts and adds them to your outreach list
"New CRO hired at DataSync - AI adds to priority list with 'new hire' timing trigger"
AI tracks engagement signals and updates talking points based on recent activity and posts
"VP Sales posted about pipeline challenges - AI updates talking points to reference this pain"
AI maintains 98% contact accuracy continuously, automatically updating your CRM as decision-makers change roles, get promoted, or move companies. Your team always calls current, verified contacts.
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.