Tenbound is the research lab of graph8 and CIENCE. We read and analyze the published research on modern GTM, then test it against real signal: a decade of CIENCE campaign execution and graph8's live autonomous revenue system. The findings are published open access, every week, for the field.
A live working call with founders and operators building pipeline in the AI era. Bring a question, leave with a decision. Free, every week.
Programmable Revenue, our weekly GTM research magazine. Real papers, real measurements, the practice change, in your inbox.
Benchmarks, frameworks, and field notes. No gate, no fee. Tenbound research is free to the community.
Take the data, the charts, the frameworks into your deck, your board memo, your own research. Build on them. The one ask: cite Tenbound as the source. That is what keeps open research honest, and free for every builder in GTM.
The research adds up to one model: Pipeline Architecture. A connected system that turns buyer data, signals, messaging, motion, mastery, and measurement into qualified pipeline.
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The published GTM literature, benchmarks, and frameworks, reviewed and tested by Tenbound.
Real-world outbound, inbound, and GTM campaign experience from CIENCE.
graph8's autonomous revenue system: buyer graph, agents, launches, and AI workflows.
Tenbound does not publish theory in isolation. Its research is grounded in real execution, and it is free to the people doing the work.
Six pillars that turn scattered activity into a system. Each one is a discipline you can measure, train, and improve.
See the frameworkICP, segmentation, account tiers, buying committee, and source mix.
Intent, hiring, funding, technology, and competitive movement turned into priority.
Persona messaging, pain mapping, proof points, and follow-up logic.
Outbound, inbound, account-based plays, and AI-assisted workflows.
Onboarding, coaching, call review, and qualification discipline.
Connect rate, meeting quality, conversion, and pipeline created.
Most teams sit between manual habits and partial automation. Scroll: color is the system coming alive.
The ladder shows the path from individual effort to a learning system.
Read the maturity modelManual research, individual habits, inconsistent messaging, activity-based management.
Tools and AI for parts of the workflow. Process, QA, and measurement still inconsistent.
Defined ICP, signals, playbooks, manager cadence, and AI-assisted workflows.
graph8 coordinates signals, campaigns, agents, conversations, pipeline, and human handoffs in a learning system.
Tenbound gives revenue teams the frameworks. CIENCE gives teams managed execution. graph8 gives teams the autonomous system.
Replacing a fully automated motion with personalized outreach booked three times the meetings in her second month. Video messages returned replies at roughly 25 percent, against 1 percent for plain email.
Calls into his priority bucket (people who answered before) connect at 20 to 30 percent, against about 5 percent on cold dials. Around 80 percent of reachable contacts connect within the first 3 to 5 attempts, so lists refresh on that cadence.
Findings are as shared by the speakers in their interviews in the Tenbound archive.
The weekly GTM research magazine. Real papers, real measurements, the practice change. Free, every week, by the Tenbound newsroom.
A live working call with the operators building modern pipeline. One email gets you the call invite and the weekly report. No fee, no gate.
The annual benchmark on teams, structure, systems, and pipeline.
How teams apply AI to research, messaging, and workflows, and where it pays off.
The category map for the tools and platforms that run pipeline creation.
Operator lessons from graph8 workflows, CIENCE campaign execution, and benchmark data.
The Briefing is one research summary per issue: the finding, the evidence, and the practice change, with citations you can check. Written by the Institute, not by a marketing calendar.
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