01
Maps the buying group before any outreach
Identifies every decision-maker, influencer, and blocker. Finds the real org structure—not just LinkedIn titles—including who actually controls budget.
Account research
Deep research takes hours. So teams skip it and send generic outreach
The gap between personalized and generic outreach is the gap between 15% and 1% reply rates. Entesale closes it.
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Research on every account
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No bottleneck on your team
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Feeds personalization directly
Pipeline Activity
At riskMeridian Group23d no reply
Axis Consulting41d cold
Summit PartnersReply pending 9d
Vector AgencyIntro not sent
4 deals cooling without follow-up
2–4hrs
Manual research per account
Before writing a single personalized message. Most teams can't sustain this at scale—so they don't, and outreach quality drops.
68%
Higher reply rate with genuine personalization
The research gap is also the reply gap. Most teams know this. Very few can afford the time to fix it manually.
<1%
Reply rate for generic blasts
Below any threshold that makes outbound worth running. Yet it's the default when research doesn't scale.
The trap
You've already tried the obvious fixes
Hover each card to see why it keeps failing.
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What you tried
Manual LinkedIn research
Why it doesn't work
One researcher can handle 5–10 accounts per day at any depth. At that rate, you can't run a meaningful outbound motion—it's a bottleneck that limits who you can reach.
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What you tried
Sales intelligence platforms
Why it doesn't work
Tools like Apollo give you data. But data isn't context. A list of names doesn't tell you who's frustrated with their current vendor or who just got budget approved.
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What you tried
ChatGPT for personalization
Why it doesn't work
If your outreach says 'I noticed [Company] just [LinkedIn post]'—so does everyone else's. AI-generated personalization at scale looks exactly like AI-generated personalization at scale.
How Entesale solves it
Research that runs without you
02
Surfaces the most relevant warm paths
Mutual connections, shared context, recent company triggers. The kind of detail that makes a first message feel like research, not a template fill.
03
Feeds context directly into outreach
Research shapes message personalization automatically. You don't read a doc and write a message. The message is built from what Entesale found.
“We used to batch research on Fridays and write messages on Mondays. Entesale does both in the background, continuously. We just stopped being the bottleneck.”
What you get
The research layer your outreach has been missing
Buying group mapping
Full org-level picture: who decides, who influences, who blocks, and who controls budget.
Warm path discovery
Mutual connections, shared context, warm intro opportunities surfaced before first contact.
Trigger detection
Job changes, new funding, hiring spikes, expansion signals. The right time to reach out.
Personalization input
Research feeds message writing directly. Context doesn't sit in a doc—it shapes every message.
Common questions
What sources does Entesale use for research?
LinkedIn, company websites, news, job postings, funding data, and social signals—synthesized into a usable account brief, not a raw data dump.
How deep does the research go?
It maps the buying group, identifies role-specific priorities, surfaces warm intro paths, and detects recent triggers like hiring spikes or new funding.
Can it research our existing pipeline accounts too?
Yes. Research runs on new targets and on accounts already in your pipeline—keeping context current as companies change.
How does research feed into outreach?
Directly. The account brief shapes message personalization automatically. You don't need to read a doc and write a message—Entesale builds the message from what it found.
Ready to move forward
Research every account like a full-time analyst
We'll show you how Entesale maps buying groups and surfaces warm paths—before any message goes out.
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No commitment
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30-min call
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Results in week one