Most B2B sales teams spend 6-8 hours per rep per week manually researching decision makers, cross-referencing LinkedIn with ZoomInfo, only to find 40-60% of contact information is outdated or wrong.
Most B2B sales teams spend 6-8 hours per rep per week manually researching decision makers, cross-referencing LinkedIn with ZoomInfo, only to find 40-60% of contact information is outdated or wrong.
Here's what's actually happening:
| Factor | Traditional Method | AI Method |
|---|---|---|
| Approach | Buy ZoomInfo or Apollo lists, manually cross-reference LinkedIn, verify emails one-by-one, hope the org chart hasn't changed | AI reads company websites, LinkedIn, job postings, and news to identify current decision makers with verified contact info and personalized talking points |
| Time Required | 6-8 hours per rep per week on research alone | 2-3 minutes per prospect (fully automated) |
| Cost | $15,000-20,000/year for data tools + 280 hours/year per rep in research time | $3,000-4,500/month for complete done-for-you service |
| Success Rate | Reach correct decision maker on first try 23% of the time | Reach correct decision maker on first try 78% of the time |
| Accuracy | 40-60% contact accuracy, 35% org chart accuracy | 94% contact accuracy, 89% org chart accuracy |
21% of a sales rep's day
Is spent researching prospects and finding contact information. For a team of 5 reps, that's 210 hours per month that could be spent having actual conversations with buyers.
Salesforce State of Sales Report 2024
Only 17% of buyers
Want to talk to a sales rep during the awareness stage. But 82% will engage when contacted by someone who clearly understands their specific business challenges - which requires deep research on the right decision maker.
Gartner B2B Buying Journey Survey
Average of 18 touches
Required to reach a decision maker when you don't have accurate contact information. With verified direct dials and mobile numbers, this drops to 3-4 touches.
TOPO Sales Development Benchmark Report
Companies that respond within 5 minutes
Are 100x more likely to connect with decision makers than those who wait 30 minutes. AI contact finding delivers verified contact info instantly, eliminating research delays.
Harvard Business Review Lead Response Study
AI reads company websites, LinkedIn, job postings, and news to identify current decision makers with verified contact info and personalized talking points
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 doesn't just pull job titles - it maps reporting structures, identifies recent promotions, and tracks tenure. A 'VP of Sales' who started 3 months ago reports to the CRO and is still learning. A VP who's been there 2 years and reports directly to the CEO has budget authority. AI identifies these nuances automatically.
Leadership bios reveal actual responsibilities beyond job titles. 'VP of Revenue Operations' might own sales tools at one company and just handle Salesforce admin at another. AI reads the actual descriptions to understand who controls budget for your solution. Press releases reveal recent hires and promotions before LinkedIn is updated.
A company hiring a 'Director of Sales Enablement' signals that someone senior is feeling pain around rep productivity. The hiring manager listed on the posting is your decision maker. AI identifies these signals and finds the person behind the job posting - often before the role is even filled.
A company that just raised Series B has budget and urgency. A new CRO announcement means someone is evaluating their entire tech stack. AI tracks these events in real-time and identifies the specific executives involved - not just the company, but the actual person who now has budget authority.
AI doesn't guess email formats - it verifies them. By analyzing publicly available emails (support@, info@, press@), AI determines the exact format (first.last@ vs firstl@ vs flast@) and validates each address before you send. Same with phone numbers - AI finds direct dials and mobile numbers, not just the main switchboard.
What decision makers post about reveals their current priorities. A VP of Sales posting about 'scaling challenges' is different from one posting about 'improving rep efficiency.' AI analyzes recent posts, comments, and shares to understand what each decision maker cares about right now - then prepares talking points that resonate.
Whether you build in-house, buy a tool, or use a done-for-you service - ask these questions to avoid wasting money on inaccurate data and missed opportunities.
The average VP of Sales tenure is 18 months. Databases go stale fast. Ask: How often is data refreshed? What happens when someone changes roles? How do you verify current employment? A system that updates quarterly is already 30-40% inaccurate by month 3.
Many tools claim '95% accuracy' but count any email format as verified. Ask: Do you verify emails are deliverable? Are phone numbers direct dials or switchboards? What percentage of contacts have mobile numbers? The difference between a verified direct dial and a company switchboard is 10x connection rates.
A 'VP of Sales' at a 50-person company makes buying decisions. At a 5,000-person company, they need CRO approval. Ask: How do you determine actual budget authority? Can you identify who reports to whom? Do you track recent promotions? Title alone tells you nothing about buying power.
A phone number is worthless without knowing what to say. Ask: Do you provide talking points? Can you identify recent company initiatives? Do you track what the decision maker cares about? The best contact info in the world fails if your message is generic.
AI makes mistakes. Ask: Is there human verification? What happens when AI is uncertain? Who's accountable for bad data? The best systems combine AI speed with human judgment - AI finds 1,000 potential contacts, humans verify the top 100.
A $60M manufacturing software company had 4 SDRs spending 30 hours per week combined on contact research. They'd pull lists from ZoomInfo, cross-reference LinkedIn to verify current employment, manually search for direct dials, and build talking points from company websites. Despite all this effort, 43% of their calls reached the wrong person - someone who'd changed roles, been promoted, or never had buying authority. Their SDRs were frustrated, and their meeting rate was stuck at 2.1 meetings per rep per week.
With AI contact finding, their research time dropped to zero. AI automatically identified decision makers, verified contact info, and prepared personalized talking points for every prospect. Their connection rate jumped from 8% to 27% because they were calling direct dials instead of switchboards. More importantly, 89% of conversations were with actual decision makers - not gatekeepers or wrong contacts. Meeting rate increased to 6.8 per rep per week, and AEs reported that prospects arrived better qualified.
Week 1: AI analyzed their existing pipeline to identify patterns in who actually bought - not just who took meetings. Found that 'VP of Sales' was wrong target at enterprise companies; 'VP of Revenue Operations' had actual budget authority.
Week 2: AI mapped 2,400 target accounts, identifying current decision makers with verified contact info. Found that 38% of their ZoomInfo contacts had changed roles in the past 6 months.
Week 3: First outreach campaign launched with AI-prepared talking points specific to each decision maker's role, company initiatives, and recent changes. Connection rate was 24% vs their historical 8%.
Week 4: 27 meetings booked (vs typical 8-9), with 89% being actual decision makers with budget authority.
Month 2+: Continuous learning as AI tracked which decision maker titles and seniority levels converted best, automatically adjusting targeting criteria.
We've spent 3 years building and refining AI contact finding across thousands of campaigns. Our system combines 6 data sources, AI analysis, and human verification to deliver verified decision maker contacts with personalized talking points - starting in week 2, not 6-8 months from now.
Working with Fortune 500 distributors and semiconductor companies. Same system, your prospects.
Get Started →Stop calling people who can't buy. Here's how AI finds the actual decision maker with budget authority - not just someone with an impressive title.
AI works with any starting point - your CRM, a wish list, or just target industries. Even if you only have company names, AI builds the complete decision maker map.
AI reads LinkedIn, company websites, and press releases to build an org chart. Identifies all potential decision makers across sales, revenue operations, IT, and executive leadership.
AI analyzes reporting structure, tenure, recent promotions, and company size to determine who actually has budget authority - not just an impressive title. A VP at a 100-person company has more power than a VP at a 10,000-person company.
Having the right name is worthless without accurate contact info. Here's how AI finds direct dials, mobile numbers, and verified emails - not just company switchboards.
Sarah Chen, VP Revenue Operations: LinkedIn profile exists, but no contact info available publicly
Main Company Number: (555) 123-4000 - reaches receptionist who won't transfer to executives
Generic Email Format: sarah.chen@company.com - might be right, might bounce, no way to know
AI-Verified Contact: Direct dial: (555) 123-4157, Mobile: (555) 987-6543, Verified email: s.chen@company.com
AI checks LinkedIn Sales Navigator, ZoomInfo, Apollo, company websites, and public records. When 3+ sources agree, confidence is high. When sources conflict, AI flags for human verification.
AI doesn't guess email formats - it tests them. Uses SMTP verification to confirm emails are deliverable without sending actual messages. Catches role-based emails (info@) and identifies personal emails.
AI distinguishes between company switchboards and direct dials. Identifies mobile numbers from LinkedIn, company directories, and public records. Prioritizes contacts with verified mobile numbers (3x higher connection rate).
AI monitors for role changes, company moves, and updated contact info. When someone changes jobs, AI automatically finds their new contact information and updates your CRM.
Having accurate contact info is just the start. AI researches each decision maker's priorities, challenges, and recent initiatives - then prepares talking points that resonate.
"Sarah, I noticed TechFlow just posted 8 sales roles in the past month - that's significant growth. Most RevOps leaders tell me their biggest challenge during rapid scaling is maintaining rep productivity. Is that on your radar?"
"I saw your team uses Salesforce and Outreach. With 45 reps now, you're probably seeing reps spend 6-8 hours per week just on prospecting research. That's 270 hours of selling time lost every week across your team."
"You've been in the RevOps role for 14 months - long enough to see the patterns. I'm guessing you're being asked to do more with the same budget, and leadership wants to see pipeline growth without adding headcount. Sound familiar?"
"I work with three other companies in the manufacturing software space - DataSync, FlowMetrics, and ProcessIQ. DataSync had a similar team size and saw their meetings per rep jump from 2.1 to 6.8 per week within 60 days. Happy to share what they did differently."
AI analyzes company websites, LinkedIn profiles, job postings, news, and social media to prepare personalized talking points for every decision maker. Your reps never make a cold call - every conversation starts warm with relevant, researched insights.
With verified contacts and personalized talking points ready, AI orchestrates multi-channel outreach to ensure you reach every decision maker at the perfect time.
AI prioritizes contacts with verified direct dials and mobile numbers. Power dialer enables 50 dials/hour. Every call uses AI-prepared talking points specific to that decision maker.
AI writes emails referencing specific company initiatives, recent news, and role-specific challenges. Not generic templates - actual personalized messages that get 3x higher response rates.
AI identifies decision makers active on LinkedIn and prepares connection requests with personalized notes. Tracks engagement to identify warm prospects ready for a call.
Most decision makers don't answer on the first try. AI ensures perfect timing and persistence across all channels until they're ready to engage.
First call attempt using direct dial with AI-prepared talking points
"Sarah, noticed TechFlow's rapid sales team growth. Most RevOps leaders tell me maintaining rep productivity during scaling is their biggest challenge..."
Personalized email sent referencing the call attempt and specific company insights
"Sarah, tried reaching you earlier about TechFlow's sales expansion. With 8 new sales roles posted, you're likely focused on ramping productivity. Here's how DataSync solved this..."
LinkedIn connection request with personalized note about shared challenges
"Sarah, I work with several RevOps leaders in manufacturing software facing similar scaling challenges. Would value connecting to share what's working..."
Second call attempt - AI updates talking points based on any email/LinkedIn engagement
"Sarah, following up on my email about rep productivity during scaling. Saw you viewed my LinkedIn profile - happy to share the DataSync case study..."
AI orchestrates 12-15 perfectly timed touches across phone, email, and LinkedIn until decision makers engage. Every touch is personalized based on their role, company, and previous engagement. No decision maker falls through the cracks.
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.