What does Boomerang do?

Boomerang is the warm-intro orchestration layer for B2B sales. We map every warm path from your team, customers, investors and board, and advisors into your priority accounts. When a signal fires (intent surge, champion job change, executive leadership move), we surface the warmest path, draft the intro request in the connector's voice, and close the loop when the meeting books.

Who is Boomerang for?

Boomerang is built for B2B SaaS and enterprise sales teams with at least $30k ACV, a customer base with active champions, and an engaged board or advisor network. Particularly powerful for account-based selling motions, founder-led GTM, and teams trying to break into senior buyer altitudes.

How is Boomerang different from 6sense, ZoomInfo, or Outreach?

Signal layers like 6sense and ZoomInfo identify which accounts are in market. Sequencers like Outreach and Salesloft scale cold outreach. Both stopped converting senior buyers as cold reply rates fell 70 percent. Boomerang adds the warm-intro activation layer those tools structurally cannot carry. We sit on top of your existing stack; we do not replace it.

FOR GTM ENGINEERING

Relationship signal as a first-class input in your scoring model.

Stop scoring accounts on fit and intent alone. Layer relationship strength on top. Route accounts to reps with the strongest warm path. Build PG sequences that fire warm-first, cold-fallback. Boomerang ships as data into the systems you already maintain.

SG

Shankar Ganapathy

Founder, Boomerang AI

THE SHIFT

Same scoring model. One missing input.

BEFORE

You've stacked it all. Signals from 6sense and Common Room. Context from Clay enrichment. Personalization from Smartlead. Automation across Outreach and Salesloft. The stack is beautiful. Reply rates still cap at 2%. Pick-up rates at 3%. The one lever that actually moves conversion is relationships, and you don't control it today.

AFTER

Relationship strength becomes a feature in the score, a rule in the router, and a branch in the PG flow. Same stack, the lever you were missing now plugged in. Warm-routed accounts convert at 5x cold rates. Reply rates double. The 3-layer GTM stack.

WHERE RUDY LIVES IN YOUR STACK

Built for the systems you already operate.

PRIMARY INTERFACE

REST API

Bidirectional. Pull relationship scores, paths, and signal feeds. Push outcomes back for closure-loop training.

LLM WORKFLOW

Claude / Codex (MCP)

Rudy ships as an MCP server. Query relationship data from any LLM workflow you build for the team.

CRM-NATIVE

Salesforce / HubSpot

Relationship score and path metadata as custom fields on the account object. Native to your CRM, no separate UI.

EVENT BUS

Webhooks + Streams

Subscribe to relationship signal changes. Job-change events, new champion detections, network expansions. All real-time.

Zero new pipelines to maintain. Boomerang ships as data feeds into the systems you already wire up.

WHERE TO PLUG IT IN

Three integrations that matter.

01

INTEGRATION

Account scoring model

Pull relationship_strength as a model feature alongside fit, intent, and technographic. Most teams find it lifts model precision by 15 to 25 percentage points on conversion prediction, because high-relationship accounts convert at materially different rates.

score = (w1 · fit) + (w2 · intent) + (w3 · technographic) + (w4 · relationship_strength) where relationship_strength = boomerang.account.warm_score and w4 calibrates to 0.18 to 0.32 in most B2B SaaS models

02

INTEGRATION

Account assignment routing

Don't route accounts by territory alone. Route by who has the strongest warm path. The AE who knows the buyer ramps the deal in half the time of the AE who doesn't. Plug Boomerang's relationship graph into your routing rules.

New account → Query warm paths → Rank reps by path strength → Assign top match

Fallback to territory rules when no warm path crosses a threshold. Rudy returns ranked rep matches with confidence scores via the API.

03

INTEGRATION

PG sequence routing (warm-first, cold-fallback)

Most PG activity treats every account the same. Cold sequence, same cadence, same templates. With relationship signal, the engine routes warm accounts into a warm-led flow (Rudy drafts the intro, connector forwards) and cold accounts into the cold flow.

Account enrolled → Warm path exists? → Warm flow OR cold flow

The math: 30 to 40% of accounts will have a warm path. Those convert at 5x. The other 60% stay on cold cadence. Total pipeline output per SDR lifts 60 to 100% on the same headcount.

DATA MODEL

What Boomerang actually returns.

Standard data shape across REST API, MCP, and webhooks. Stable across versions. Easy to plug into any scoring model or routing rule.

Account-level relationship signal

warm_score

Float, 0 to 100. Aggregate relationship strength to the buying committee at the account.

strongest_path

Object. {pillar, connector_id, target_id, strength, last_touch}

paths_by_pillar

Array. Top 5 paths per pillar (team, customer, board, partner).

rule_eligibility

Object. Which escalation rules allow which asks (e.g., can_ask_board: false, reason: "ACV below threshold").

freshness

Timestamp. When the graph was last recomputed for this account.

The output is deterministic and idempotent. Same input, same scores. Easy to A/B test your model weights without surprise behavior.

WHAT YOU'LL MEASURE

Three numbers that prove the integration works.

If you can move these in 90 days, the scoring model and routing investment paid back. Most GTM Eng teams hit the targets by week 8. Want to model the impact on your specific pipeline math? The Boomerang ROI calculator takes 90 seconds.

Model precision lift

+15 to 25pt on top-quintile account conversion prediction

Routing lift

Warm-routed accounts ramp 40% faster than territory-routed

PG output

+60 to 100% pipeline per SDR on warm-first sequences

SG

Shankar Ganapathy · Founder, Boomerang AI

GTM engineering is the leverage point. Once relationship signal is a column in the score and a rule in the router, the whole company feels the lift. SDRs don't know it changed. AEs don't know it changed. Pipeline just grows.

See the relationship-signal API in action

Book a Boomerang demo