Revenue growth
Find the accounts most likely to move. Give your team the AI machine to reach them first.
More qualified pipeline, faster follow-up, cleaner data, and a sales team focused on judgment instead of manual research.
Days
To first shipped workflow
Start with one sales motion before expanding across the revenue team.
Hours
Back to sellers weekly
Reduce research, CRM cleanup, and repetitive follow-up work.
Lift
In qualified pursuit
Prioritize accounts with real business triggers instead of generic firmographic fit.
Field Pattern
The strongest pattern is a trigger-driven sales intelligence engine.
In a live industrial GTM deployment, the breakthrough was not a bigger prospect list. It was a territory-by-territory operating system that watched for capital projects, EPC awards, facility expansions, leadership changes, technical requirements, and customer ecosystem movement before buyers entered a standard procurement motion.
Build an 8-12 category trigger taxonomy around the real buying events in the market.
Turn each trigger into scored accounts, decision-maker maps, sales plays, and rep-ready next actions.
Close the loop weekly so sales feedback improves targeting, scoring, and message quality.
Anonymized Operator View
What the growth machine looks like once it is operating.
A CEO, COO, PE operator, or owner needs to see how ClearForge finds the growth spots, turns them into scored pursuits, gives people the next action, and learns from the field every week.
Auto
Monitor triggers, enrich accounts, refresh scores, and flag stale pursuits.
AI Draft
Prepare playbooks, outreach angles, call prep, and gap lists for review.
Human Led
Own qualification, relationships, commercial judgment, and negotiation.
Growth Intelligence Command
Weekly territory growth review
94%
Trigger coverage
Priority signals monitored across territories and segments.
48h
First-contact target
Validated pursuits move quickly while the buying event is fresh.
30d
Action window
Every report becomes a near-term sales operating plan.
Lead Volume
Jan
42
Feb
58
Mar
76
Apr
104
Team Performance
AE North
Industrial accounts
31
Opps
+14
Moved
39h
Contact
92%
Feedback
AE Central
Growth accounts
27
Opps
+11
Moved
46h
Contact
87%
Feedback
Inside Growth
Emerging signals
44
Opps
+18
Moved
31h
Contact
89%
Feedback
Pipeline Control
Gulf Coast specialty chemical expansion
Strategic AE
EPC award + capacity expansion
Confirm decision map and RFP window.
Southwest AI data center campus
Regional seller
Cooling infrastructure demand
Validate specs with facilities lead.
Midwest battery materials facility
Growth lead
FEED start + incentive funding
Build stakeholder map and first outreach.
Action Plan
Week 1
Score and triage the territory by live buying events.
Week 2
Build contact maps and account-specific playbooks.
Week 3
Launch executive outreach with seller review.
Week 4
Review outcomes, overrides, and next trigger tuning.
Intelligence Gaps
RFP and procurement window not yet confirmed.
EPC and end-user decision map incomplete.
Technical specification package needs seller validation.
Feedback Loop
Market signal
Capital project, expansion, regulation, or buyer change.
AI machine
Score, brief, route, draft, and recommend the next action.
Team judgment
Validate fit, update outcome, and improve the model.
Best Fit
Where this creates the most value.
B2B companies with long sales cycles, uneven CRM hygiene, slow lead response, or too many high-fit accounts going untouched.
Symptoms
Sales leaders cannot see which accounts deserve attention this week.
Reps lose hours to research, list building, CRM cleanup, and hand-written follow-up.
Marketing signals, web activity, and account context never become timely seller action.
Forecast reviews become storytelling because pipeline quality is inconsistent.
The Machine
What ClearForge builds around the work.
01
Trigger layer
Define the market events that create urgency: funding, expansion, regulation, leadership change, product launch, competitor movement, or operational pain.
02
Prioritization layer
Score accounts by fit, urgency, relationship context, white space, and next-best action.
03
Execution layer
Trigger research briefs, account plans, outreach drafts, follow-up reminders, and manager alerts.
04
Operating layer
Create weekly review routines so leaders inspect conversion quality, not just activity volume.
Production Plays
The first systems worth shipping.
Account priority engine
Ranks accounts and contacts by growth potential, trigger events, engagement, fit, and relationship history.
Territory intelligence report
Packages scored opportunities, market context, intelligence gaps, and a 30-day sales action plan for each region or segment.
Rep research agent
Builds concise account briefs, stakeholder maps, call prep, and tailored outreach angles from approved sources.
Follow-up and handoff orchestration
Routes inbound leads, reminds owners, drafts next steps, and escalates stalled high-value opportunities.
Pipeline quality dashboard
Shows conversion leaks, stale opportunities, incomplete fields, next actions, and manager coaching moments.
Implementation Path
From use case to operating habit.
01 · Week 1
Map the revenue path
Audit CRM data, lead sources, funnel conversion, seller workflow, territory rules, and high-value account segments.
02 · Weeks 2-3
Build the trigger machine
Connect data sources, design the trigger taxonomy, create scoring logic, and ship the first account intelligence workflow.
03 · Weeks 4-6
Install seller actions
Add outreach, research, handoff, routing, and management routines with human review checkpoints.
04 · Ongoing
Tune the growth loop
Review conversion quality, improve prompts and signals, and expand into adjacent sales motions.
Related Paths
Keep exploring.
FAQ
Questions buyers ask first.
Is this just automated outbound?
No. Outbound is one possible workflow, but the larger system is trigger detection, account prioritization, seller intelligence, CRM hygiene, follow-up discipline, and management visibility.
Will reps trust the recommendations?
Only if the system is built around their actual territory, data, and sales process. We install human review, feedback loops, and manager routines so adoption improves over time.
What systems can this connect to?
The most common starting points are CRM, marketing automation, enrichment, website analytics, email, calendar, and customer data sources.
Find where this applies inside your company.
The fastest path is not choosing a generic AI tool. It is finding the growth spot, building the operating machine, and training your people into the new cadence.