Agentic Solutions / B2B Revenue

Signal-First Predictive Sales Engines

Maximize conversion by eliminating wasted outreach and prioritizing speed-to-lead for active buyers.

Time-Decayed Intent ScoringAutomated Competitive Displacement

Always-on AI agents  ·  fronted by a Meeting-Participant Copilot  ·  plugged into your CRM

The problem

Reps burn time on cold accounts — and lose the warm ones to whoever calls first.

Static scoring goes stale

Traditional lead scores treat a pricing-page visit from 60 days ago the same as one from this morning. Hot buyers sit in the queue and cool off.

Wasted outreach

Reps spray sequences across accounts with no live buying intent, depressing conversion and inflating cost per opportunity.

Slow speed-to-lead

By the time a signal is noticed, routed, and worked, the buyer has already booked with a faster competitor.

The cost of waiting: the average B2B inbound lead waits 42 hours for a response, and 23% of leads are never contacted at all.

Source: Harvard Business Review lead-response audit of 2,241 firms.

Why signal-first wins

Speed and freshness are the conversion levers.

The buyer’s intent has a half-life measured in days. Acting first — while the signal is hot — is the single biggest driver of win rate.

35–50%

of B2B deals go to the vendor that responds first

21×

more likely to qualify a lead when contacted within 5 minutes vs. 30

10–30%

higher meeting-booking rates for teams acting on fresh intent data

~60%

drop in a signal’s predictive value once it ages past 30–45 days

Sources: Google / Corporate Executive Board & InsideSales.com; MIT-Sloan Lead Response study; aggregated intent-data benchmarks (2025–26).

The solution

One engine, two signal-first plays.

A team of always-on AI agents reads buying signals in real time, scores them by freshness, and puts the right rep in front of the right buyer before anyone else.

01 PILLAR 01

Time-Decayed Intent Scoring

Dynamic models prioritize first- and second-party signals — pricing-page visits, G2 competitor comparisons, repeat content views — then automatically decay that score over 3–14 days so reps always work the freshest intent first.

02 PILLAR 02

Automated Competitive Displacement

Routing rules detect competitor-research signals on target accounts and alert the owning rep instantly — turning a days-long reaction into a same-hour outreach while the buyer is still evaluating.

Outcome: more pipeline from the same account list, less wasted outreach, and a measurable speed-to-lead advantage.

Pillar 01 · Time-decayed intent scoring

Score the signal, then let it cool.

01

Capture high-value signals

Pricing-page visits, demo requests, G2 / comparison-page views, repeat returns, and key content downloads — each weighted by buying relevance.

02

Apply a decay curve

Each signal earns maximum weight for 0–7 days, high weight through day 14, then decays toward nurture — mirroring how real buying windows close.

03

Surface a live Buyer Heat Score

Reps and routing see one always-current score, so effort flows to accounts that are in-market right now — not last quarter.

Signal value over time

Decay window: 3–14 days

100
Day 0
96
Day 3
88
Day 7
74
Day 10
58
Day 14
40
Day 21
24
Day 30
12
Day 45

Act in the 3–14 day window while the score is still hot — before predictive value falls off.

Pillar 02 · Automated competitive displacement

Be the first call when a buyer starts shopping.

When a target account shows competitor-research intent, every minute counts. The engine collapses reaction time from days to hours — automatically.

01

Detect

A competitor comparison or review-site signal fires on a named account.

02

Alert

The owning rep is pinged in Slack / Teams and the CRM within seconds, with full context.

03

Route

Priority rules assign the right rep and start an SLA countdown timer.

04

Displace

The rep reaches out same-hour with a tailored, signal-aware message.

Why it works: responding first wins 35–50% of B2B deals. Cutting reaction time from days to hours converts active evaluation into pipeline.

Concept workflow

Background agents do the watching. A front-line agent does the talking.

AGENT

Signal Ingestion

Streams 1st / 2nd / 3rd-party intent + CRM + web behavior in real time.

AGENT

Intent Scoring

Applies the time-decay model and maintains the live Buyer Heat Score.

AGENT

Displacement Watch

Flags competitor-research signals on target accounts the moment they fire.

AGENT

Routing & SLA

Assigns the right rep, starts timers, and logs everything to the CRM.

— orchestrated handoff —

Front-line · rep-facing

Meeting-Participant Agent

It pulls the live signal story, briefs the rep before the call, joins the meeting to surface context and talk tracks, then captures notes and updates the CRM automatically — so reps stay in the conversation, not the admin.

Pre-call brief
In-meeting context
Auto CRM sync
The operating model

Your team supervises. The agent team operates.

An always-on agentic team does the work around the clock. Humans stay focused on judgment, relationships, and the calls that close — approving and deciding, not grinding through manual prospecting.

Agents — autonomous, 24/7
  • Monitor every buying signal in real time
  • Score and decay intent continuously
  • Route, alert, and start SLA timers
  • Draft signal-aware outreach and call briefs
  • Log activity and keep the CRM current
Humans — supervise & decide
  • Set strategy, ICP, and guardrails
  • Approve high-stakes outreach
  • Own the conversation and the relationship
  • Make the deal decisions

The incentive: reps reclaim hours of prospecting and admin every week, operations overhead drops, and pipeline coverage scales without adding headcount. Human-on-the-loop.

Live data fabric

Every system, unified into live buyer context — in the call.

Full two-way integration with your CRM and any lead-generation platform. The freshest data is processed and surfaced in real time — exactly when timing matters most.

CRM

Systems of record

Salesforce · HubSpot · Microsoft Dynamics

LEAD-GEN & INTENT

Buying signals

6sense · Bombora · ZoomInfo · Apollo · LinkedIn Sales Nav

WEB & ENGAGEMENT

Behavioral data

Forms · chat · email · site behavior

LIVE BUYER CONTEXT

One always-current view per account

Signals merged, scored, and time-decayed in real time — account history and competitive context in one place.

Surfaced live in

Sales calls

Discovery & demo — live signals, history, and competitive context.

Executive calls

QBRs & board reviews — account health and intent at a glance.

Operative calls

Renewals & onboarding — risk and expansion signals in real time.

Delivered by the Meeting-Participant Agent: live context in the room — no tab-switching, no stale exports.

Where it runs

Plug the engine into the channels you already sell through.

Wherever a buying signal can appear, an agent can act on it — turning each channel into a measurable, signal-first motion.

01

Outbound & SDR

Prioritizes accounts by live Heat Score and drafts signal-aware sequences for rep approval.

02

Inbound web & chat

Qualifies and routes hot visitors in seconds — booking the meeting while intent is peaking.

03

Social selling

Surfaces accounts showing intent and triggers warm, timely touches from the right rep.

04

Events & webinars

Ranks attendees by intent and routes the hottest leads for same-day follow-up.

05

PLG & free trials

Scores in-product activation and alerts sales the moment an account is expansion-ready.

06

ABM, renewals & expansion

Watches named and existing accounts for competitor signals to protect and grow revenue.

What customers get

Value the revenue team feels in the first quarter.

Higher conversion

Prioritizing fresh, intent-powered audiences lifts meeting-booking rates by an estimated 10–30%.

Win competitive deals

Same-hour response captures the first-responder advantage that decides 35–50% of B2B deals.

Zero wasted outreach

Reps work only in-market accounts — effort and sequences stop flowing to cold prospects.

Speed-to-lead by default

Detection, scoring, and routing are automated, collapsing reaction time from days to minutes.

Lower cost per opportunity

Intent-led targeting is associated with ~25% lower acquisition cost and ~37% higher conversion.

Reps stay selling

The meeting agent handles prep, context, and CRM admin so reps spend their time in live conversations.

Implementation approach

Live in weeks, not quarters — layered onto your existing stack.

01

Connect

Wire up CRM, web analytics, and intent feeds. Define ICP and target-account list.

02

Score

Deploy the time-decay model; calibrate signal weights and the Buyer Heat Score.

03

Route

Stand up displacement alerts, SLA timers, and rep assignment rules.

04

Assist

Roll out the meeting-participant agent for pre-call briefs and CRM sync.

05

Optimize

Feed won/lost outcomes back to tune decay curves and weights continuously.

Plugs into your stack

CRM

Salesforce · HubSpot · Microsoft Dynamics

Intent & data

Bombora · G2 · 6sense · ZoomInfo

Alerting

Slack · Microsoft Teams · email

Meetings

Zoom · Gong · Fireflies · calendar

Governance: ICP and guardrails you define · human approval on high-stakes outreach · full activity logging to the CRM · GDPR-aligned handling of intent and engagement data.

Stop chasing cold lists. Start closing hot signals.

Turn your existing intent data into a speed-to-lead advantage.

A Signal-First Predictive Sales Engine converts active buying intent into a measurable competitive-displacement edge — powered by always-on agents and a rep-facing copilot.

Celthrac — incubating agentic AI for B2B revenue teams. EU-native, GDPR-aligned, human-on-the-loop.