Other Agencies
Serve all types of B2B industries without deep expertise in any one sector.
Chase volume over fit, filling calendars with unqualified intros.
Don’t care about the outcomes of the meetings they book.
Opaque reporting; unclear what’s working or why.
Digital Sales Labs
Built for investors, investment banks, and M&A advisors.
Manually pre-qualifies every company before scheduling a call with your team.
Optimizes every part of outreach based on your feedback.
Dedicated managers and transparent weekly reporting.
Booked 43 Proprietary Owner Intros in 14 Days for a Lower–Mid Market PE Firm
This fund had a focused investment thesis but inconsistent proprietary deal flow. They relied heavily on brokers and lacked a consistent way to reach owners directly.
Here’s what we did:
Refined Targeting
Narrowed focus to sub-sectors with defined geo and EBITDA bands, and built a dynamic map of platform and add-on opportunities.
Built the system and assets
Configured a scalable multi-domain cold email infrastructure and crafted owner-friendly one-pagers with light-touch CTAs to build trust.
Pre-qualified companies
Qualified interested replies by size, location, readiness, and other constraints before scheduling meetings with the deal team.
Tested and scaled campaigns
Tested multiple angles (succession, carve-outs, founder fatigue) and scaled the ones that drove the strongest engagement.
Won 5 New Mandates & Curated Buyer Lists for Live Deals for a Sell-Side M&A Boutique
A boutique advisory relied on referrals and needed a predictable way to originate new mandates — along with curated buyer lists for active deals.
Here’s how we built a winning strategy:
Positioned around outcomes
Shifted messaging from “we run processes” to sector-specific success stories backed by recent comps and proof points.
Segmented timing and readiness
Categorized owners by selling timeframe and readiness, and built tailored nurture content for each group.
Curated buyer list
Built tailored buyer lists for active mandates and quickly refined targeting based on who engaged and why.
Pre-qualified companies
Validated fit, timing, and disclosure comfort before scheduling calls with the deal team.
Step 1: Defining Your Target Market
We’ll transform your criteria into a curated list of companies — categorized by sector, size, geography, financial metrics, and ownership.
Each company on the list will be researched and verified to ensure it fits your criteria.
Outcome: Consistent outreach to high-fit companies — so your team spends time only where it counts.
Step 2: Personalizing Outreach With AI
We’ll use AI and enrichment tools to craft personalized messages so specific they could only be written for one person.
That level of personalization helps bypass spam filters and capture the attention of busy business owners.
Outcome: Higher open and reply rates that lead to meaningful conversations.
Step 3: Turning Interest Into Meetings
We’ll build credibility-driven assets, such as one-pagers, or criteria overviews, to clarify who you are and how you help.
After any positive reply, we’ll pre-qualify each company for fit and timing before scheduling a call with your team.
Outcome: Lower friction, stronger positioning, and calendars filled with vetted, high-intent prospects.
We’ll track every part of the system — data sources, messaging angles, and follow-ups — to identify what performs best.
Once a winning combination is found, we’ll scale it while testing new variations and refining the system based on your feedback.
Outcome: A repeatable, data-driven system that compounds in effectiveness over time.
Hey, I’m Oleg Bakatin, founder of Digital Sales Labs.
I started my career as a mobile app developer working with Silicon Valley startups. Within three years, I founded a software development agency that quickly evolved into a digital marketing firm.
Over time, I began working with private equity and M&A firms that needed the same thing tech companies did — a reliable, scalable outbound engine.
By combining my background in marketing, AI, and software automation, I built the framework we now use to help investors, lenders, and advisors create predictable, high-quality deal pipelines.
