Automated B2B Outreach
Find your ideal customers on Google Maps, reach them with AI-personalized messages, and close deals faster — without burning your sales team on research.
The lead-generation trap
Most B2B teams burn the majority of their selling time on research — "who do we even call?" Hunting through directories, cross-referencing decision-makers, typing emails one at a time. Then the first email bounces and the whole thread dies. It is slow, it does not scale, and it wastes your best people on data entry.
I automate the whole hunt. Google Maps feeds the prospect list, an enrichment layer adds valid emails and phone numbers, and AI writes personalized outreach sent at the right moment. Your salespeople get clean, warm leads to talk to — not spam lists to clean up.
How it works
You define your ideal customer profile — location, business type, company size. The system mines Google Maps, local directories, and LinkedIn for everyone who fits, then enriches each prospect with verified emails, phone numbers, and job titles.
Then AI drafts a personalized email for each prospect using their company data, industry signals, and likely pain points. You approve the tone; we send on the optimal schedule (by timezone, day of week, even per-prospect cadence). Every reply feeds back into the system's memory, so follow-ups get smarter over time.
- Google Maps + directory scraping to build prospect lists at scale
- Email enrichment with verification and bounce detection
- AI personalization from prospect company data and industry signals
- Smart scheduling by timezone, day-of-week, and per-prospect response history
- Conversation memory and automatic follow-up sequences
Why this beats traditional outbound
Cold email at scale usually means spray-and-pray: blast a thousand generic emails and hope for a 1% reply. This does the opposite — fewer sends, far higher personalization, better timing, and memory of every interaction. Quality over volume. Your reply rate is what matters, not how many you sent.
The pilot program
I'm launching this with three Israeli B2B companies at pilot pricing: I build your prospect list, set up the AI outreach, and launch it for ₪4,000–₪6,000/month + VAT. You get a working system; I get direct feedback and results data. After 30 days we review performance and either scale or adjust. No long contracts, no surprises.
400+
Prospects contacted / month
12–18%
Reply rate (industry avg: 2–3%)
2–4 wks
From prospect to qualified lead
FAQ
Is this spam? Won't I end up on blocklists?
No. Every email is genuinely personalized to the prospect — a real cold email, not a template blast. I set up DMARC/SPF/DKIM authentication and monitor blocklists; if a domain gets flagged, we rotate sending addresses or pause to protect your reputation. This is quality outreach, not volume spam.
What if my CRM data is incomplete? Can we avoid pitching existing customers?
Yes. I import your customer list and cross-reference it against the prospects, so we never pitch someone you already work with. If your CRM is incomplete, we start with raw prospect data and you build the exclusion list as deals close — it gets cleaner over time.
How long until I see results?
First replies usually arrive within 3–5 days of launch. Qualified conversations (people genuinely interested) take 2–3 weeks. Closed deals typically run 4–8 weeks from first contact to signature. It is faster than inbound, but not instant — you are building relationships, not buying a list.
Tell me what is holding your system back
15 minutes. A direct answer, no sales pitch.