Qualified Pipeline Engine

Precision prospecting.
Real qualified pipeline.

dProspector turns B2B professional data into a structured, measurable prospecting system — so your sales team stops chasing noise and starts closing the right conversations.

Book a Demo See the platform 30-min walkthrough · No credit card
56K+ Leads Fit Scored
$97M+ Pipeline Created
1,600+ Meetings Booked
Fit Score · Anatomy 100-pt model
98
Profile Fit Score
Strong · 80–100
Need & use-case25/25
Service / tech fit16/20
Role & influence19/20
Org / buyer fit12/15
Trigger / timing7/10
Delivery / geography7/7
Relationship2/3
+ Communication / Responses +8 pts on reply
The Prospecting Engine how it works
01Raw professional data
3.2K profiles 14 industries LinkedIn Sales Nav Firmographic Role signals Triggers
02Score · Sequence · Route
Fit Score98
Invite Warm-up Pitch
03Qualified pipeline
$1.4M
Weighted · from 42 accepted meetings
Marcus K. · 94
Ana L. · 87
Sofía G. · 82
Signal wall illustrative
ReplyVP Sales · Cloud infra · Score 942m
QualifiedHead of Growth · Fintech · Score 8714m
MeetingCRO · Healthcare · Score 9128m
ReplyDirector Data · Manufacturing · Score 7641m
InterestVP Ops · Logistics · Score 821h
QualifiedCTO · SaaS · Score 931h
ReplyHead of RevOps · DevTools · Score 852h
MeetingChief Data Officer · Insurance · Score 962h
InterestDirector Sales · MarTech · Score 793h
ReplyVP Product · Consumer · Score 883h
QualifiedHead of Sales Ops · B2B · Score 924h
ReplyRegional Director · Retail · Score 814h
ReplyVP Sales · Cloud infra · Score 942m
QualifiedHead of Growth · Fintech · Score 8714m
MeetingCRO · Healthcare · Score 9128m
ReplyDirector Data · Manufacturing · Score 7641m
InterestVP Ops · Logistics · Score 821h
QualifiedCTO · SaaS · Score 931h
ReplyHead of RevOps · DevTools · Score 852h
MeetingChief Data Officer · Insurance · Score 962h
InterestDirector Sales · MarTech · Score 793h
ReplyVP Product · Consumer · Score 883h
QualifiedHead of Sales Ops · B2B · Score 924h
ReplyRegional Director · Retail · Score 814h
Product previewMy Leads · Needs Attention
app.dprospector.com/leads
RO
Lead Management
My Leads
Needs attention
4
Qualified
28
Avg. score
72
Contacted
412
Lead Company Topic Fit Score Stage
MK
Marcus K.
VP Sales
Vector Cloud Automation Strong 94 Replied
AL
Ana L.
Head of Growth
Northline Tech Pipeline Strong 87 Qualified
DP
David P.
CRO
Halide Systems Enablement Good 76 Warm-up
SG
Sofía G.
Director Ventas
Aledra Labs Data Ops Good 72 Sales pitch
+312
Qualified this quarter
01 · THE OPPORTUNITY
The prospecting math is broken

Sales reps spend most of their week hunting, not selling.

01

Wasted hours

67%

of a rep's week is consumed by manual prospecting — finding, filtering, messaging, and following up. That's time not spent in demos, negotiations, and closes.

02

Spray and pray

1.2%

industry-average reply rate for generic B2B outreach. Volume without precision produces noise, damages sender reputation, and burns your best-fit prospects.

03

Invisible pipeline

0

of the systems most teams use tell you which leads are actually worth pursuing right now. No score, no priority, no next action — just an inbox of maybes.

02 · WHAT WE DO
A prospecting engine, not a tool

From raw professional data to a prioritized commercial pipeline.

Three things dProspector does end-to-end — every week, every campaign, measurably.

Identify best-fit prospects

Search filters, ICP definitions, and a proprietary 100-point scoring model surface the accounts and people most likely to buy — not the loudest ones.

Higher fit precision

Engage with precision

Personalized invitations, warm-up sequences, and sales pitches — orchestrated with A/B variants, dynamic variables, and cadence controls that respect the platform's limits and your brand.

23.2% Reply rate (vs. 1.2%)

Prioritize what to close

A live activation hub shows exactly which conversations need attention right now, what the next action is, and where every lead sits on a 5-stage pipeline — from ready-for-outreach to qualified.

3.2× Qualified pipeline
03 · HOW IT WORKS
From ICP to closed conversation

Five steps. One repeatable engine.

Step 01 · Define

Your Ideal Customer Profile, structured.

Together we translate your best customers into a machine-readable ICP: industries, headcount ranges, roles, seniority, geographies, tech signals, and disqualifiers. That definition becomes the search that runs every week.

  • Multi-search library — one per market segment
  • Boolean logic + saved presets
  • ICP scoring weights you can tune
Step 02 · Score

A 100-point Fit Score. Not a gut call.

Every prospect gets a Fit Score across 7 components — Need, Service Fit, Role, Buyer, Trigger, Relationship, Geography — and lands in one of 4 Fit Tiers: Strong · Good · Moderate · Weak. When the lead replies, we recompute a Live Fit Score that blends profile fit with conversation intent.

See the Fit Score model →
Step 03 · Sequence

Three-touch sequences that don't feel automated.

Invitation → Warm-up → Sales Pitch. Each touch supports A/B variants with weighted distribution, dynamic variables (%Name%, %Company%, %Role%, %Industry%), and cadence controls that stay within safe platform limits.

  • Pulse Engine campaign builder
  • Weight validation (must total 100%)
  • AI-assisted variants (optional, per search)
Step 04 · Prioritize

Every reply lands with context, category and next action.

Every reply is auto-categorized (Interested — short term / Interested — later / Not interested / Neutral) with a confidence score, tagged by topic, and used to recompute the Live Fit Score. Reps see the hottest replies first. Nothing gets buried.

Step 05 · Measure

Every campaign becomes learning.

Performance Insights show the outreach funnel with stage-over-stage deltas, weekly engagement, cohort analysis, message variant winners, topic trends, and data quality. Every week you know what to double down on — and what to kill.

04 · THE PLATFORM
Explore the product

A control room for qualified pipeline.

Five surfaces that turn raw signal into booked meetings. Click any card to see it working end-to-end.

The Methodology

A 100-point Fit Score built for revenue teams.

Not a black box. Seven weighted components, conflict penalties, four Fit Tiers, and a Live Fit Score that re-computes the moment the lead replies. Auditable, tunable, defensible.

Strong 80–100 Good 65–79 Moderate 50–64 Weak 0–49
See the full model
Need & use-case
25
Service / tech fit
20
Role & influence
20
Org / buyer fit
15
Trigger / timing
10
Delivery / geography
7
Relationship
3
Profile Fit Score
100
05 · RESULTS
Illustrative customer scenarios

Real prospecting math, across eight industries.

Every scenario below is anonymized and illustrative — modeled on the kind of outcomes teams have achieved through a structured, measurable prospecting engine.

Series-B SaaS · Q3
Series-B SaaS opens a net-new mid-market segment in one quarter.
4,200
Prospect pool
33.8%
Reply rate
$820K
Pipeline created
240h
Rep hours saved
FinTech scale-up · Q2
FinTech scale-up triples qualified pipeline in 90 days.
2,600
Prospect pool
32.1%
Reply rate
$1.4M
Pipeline created
98
Qualified leads
DevTools · Series A · Q4
Founder-led sales team closes 6 enterprise pilots from cold.
1,150
Prospect pool
29.4%
Reply rate
6
Pilots signed
21 d
To first meeting
Enterprise Cybersecurity · Q1
CISO-targeted campaign delivers 32 qualified meetings and 5 procurement cycles.
3,400
Prospect pool
26.8%
Reply rate
$3.1M
Pipeline created
32
Qual. meetings
IT Services · Mid-market · Q1
Consulting firm books 18 discovery calls in 30 days, closes 2 retainers.
890
Prospect pool
31.7%
Reply rate
18
Discovery calls
$310K
ARR added
MarTech · PLG · Q4
PLG company adds sales-assist motion, opens $2.4M enterprise pipeline.
5,200
Prospect pool
28.9%
Reply rate
$2.4M
Pipeline created
140
Qual. leads
HR Tech · People Analytics · Q3
HR Tech platform reaches CHROs at 400+ mid-market employers, books 24 exec demos.
2,850
Prospect pool
30.2%
Reply rate
24
Exec demos
$1.1M
Pipeline created
Logistics SaaS · Supply Chain · Q2
Supply-chain SaaS lands 9 mid-market shippers by targeting VPs of Ops and Logistics.
1,780
Prospect pool
27.6%
Reply rate
9
New logos
$1.8M
Pipeline created
↑ All scenarios anonymized and illustrative · Real customer names and figures shared under NDA
Powered by Sales Navigator

World-class professional data. Engineered for pipeline.

dProspector uses LinkedIn Sales Navigator as its primary data source — the same platform your best-in-class sales teams already trust. We transform that raw professional data into a structured, measurable prospecting system: ICP definition, scoring, sequencing, pipeline, and performance analytics.

You bring your Sales Navigator seat. We handle everything downstream.

01
Data source
LinkedIn Sales Navigator
02
Engineered by
dProspector
03
Business outcome
Qualified pipeline
06 · COMPARISON
Where teams end up

Three ways to build B2B pipeline. Only one is engineered.

Capability
Manual prospecting
Generic automation tools
dProspector
ICP definition & scoring
Rep intuition
Basic filters
100-point weighted model, tunable
Reply rates you can defend
3–5% (best reps)
1–2% (spray)
23.2% (precision)
Reply prioritization
Inbox chaos
Categorization at best
Activation Hub + next-action queue
Performance measurement
Spreadsheets
Sends/opens only
Full funnel, cohorts, variants, data quality
Time to first qualified lead
6–10 weeks
4–8 weeks
12 days avg
Success Partner Add-on
Rarely offered
Dedicated consultant runs ICP, campaigns & weekly optimization with you
07 · TRUST
Data ownership & security

Your data is yours. Always.

Your workspace, your data

Every campaign, contact, and message lives inside your isolated workspace. Full export any time.

Encrypted end to end

TLS 1.3 in transit. AES-256 at rest. Role-based access. Audit logs on every action.

Compliance-ready

Aligned with SOC 2, GDPR, and CCPA principles. DPAs available for enterprise agreements.

Own your relationships

You keep the connection graph. Cancel any time and take your prospects, messages, and history with you.

ROI Calculator

What could your pipeline look like next quarter?

Move the sliders. Model uses 23.2% reply rate, 15% qualification rate, and 30% opportunity conversion (illustrative benchmarks — your mileage will vary).

3
$24,000
20
Projected — quarter
$3.05M Pipeline generated
530Replies
127Qualified
38Opportunities
432hRep hours saved

Illustrative model. Real results depend on ICP quality, offer, and vertical.

08 · FAQ

Common questions

Both. You can subscribe to the platform and run it in-house, or add a managed-service layer where our team runs the ICP definition, campaign build, and weekly optimization on your behalf. Most teams start hybrid.
Yes — one Sales Navigator seat per sender. dProspector layers on top and turns raw professional data into a structured prospecting engine. It doesn't replace Sales Navigator; it multiplies what you get out of it.
Most teams see their first qualified reply within 10–14 days of the first campaign launching. Meaningful pipeline typically shows up in weeks 4–6.
Cadence controls, daily limits, warm-up flows, and human-in-the-loop review keep your senders inside safe platform limits. We optimize for reply quality, not raw volume.
Yes. Native two-way sync with HubSpot and Salesforce is on our roadmap for launch; webhooks and Excel export work today. If a native connector for your tool doesn't exist yet, our Success Partner team can build the integration for you as a paid add-on — including automated Excel exports on a custom cadence.
A 30-minute working session: we scope your ICP live, model expected pipeline, walk through the platform on your data, and leave you with a written recommendation whether we're a fit or not.
Ready when you are

Stop chasing noise.
Start closing signal.

A 30-minute session with our team. We'll scope your ICP, model expected pipeline, and show you the platform on your data.

30 min · No credit card · No obligation