Your reps don’t need more names, they need clarity.

Big Lists = Big Noise

Reps can’t separate high-quality prospects from lukewarm leads that need least attention​.

Outreach and Opportunity Misses

Messaging isn’t tied to account priorities like stack changes, exec moves, renewals or real buyer viewpoints.

Research Sprawl

SDRs and AEs lose hours chasing scattered info across tabs without real-time account signals.

Forecast Risk

Without intent and committee coverage, sales cycles stall, costs rise and conversion rate is slower.​

Signal-driven prospecting​

Draup aggregates millions of signals across 33 industries, 8M+ profiles, accounts, and buyers to answer three decisive questions

1

Target Potential Accounts

Deep firmographics + Business priorities, financials, investment opportunities, R&D footprints, and industry drivers to narrow to the highest-value leads.

2

Tailored Outreach​

Message kits built from account characteristics and focus areas: emerging use cases, and buyer viewpoint mapped to the actual committee.

3

Micro-Target Opportunities​

​Zero in by competing install base, tech started/stopped, geo distribution, and partner ecosystems to trigger attach or displacement plays. ​

Go from target logo lists to booked meetings​

Relevance
Outreach tied to Business Intentions, stack and vendor context, and buyer roles.
Speed
Ranked lists, playbooks, and CRM-ready tasks replace tab-hunting.​
Confidence
Micro-targeting expands reach into high-value niches (install base, geo, partnerships).
Predictability
Prospects are worked by fit, intent, and outreach timing, not guesswork.​

Use Cases​

ICP Prospect Lists in Minutes

Auto-build ranked lists per territory using fit + intent (industry, financials, footprint) and timing signals.

Tech-Replacement Triggers

Prospect where started/stopped using signals and install base suggest displacement potential.

Executive Access Plays

Target committee members with talk tracks tailored to public viewpoints, events, and influence.

Geo & Partner Motions

Use R&D maps, outsourcing footprints, and partner presence to focus regions and alliances.

Inbound Acceleration

Pair inbound with buying-stage insights, prioritize warm demand with timely, tailored messages.

Draup 360° Changes the Game

Draup generates live, personalized prospect lists that update continuously
One-click Top-N lists for any territory, product, or motion.​
Explainable scoring with fit, intent, and timing reason codes.
CRM-ready exports into Salesforce, HubSpot, or Marketo.
Draup 360° - every profile consolidated, de-duplicated, ghost-free, and complete.
Prospecting goes from scattered research to focused execution - reps know who to call, why now, and what to say.

Enterprises do extraordinary things with Draup

Real stories. Real Success.

Structured aggregation and processing of data is a pleasant help in daily business; Draup is responsive to feedback and additional requests at short notice. Provides valuable background information for sound decision making in complex business areas.
Peter Schmutzer
Ex- Director - Purchasing, OPD, Supplier Relationships & Strategy
Great insights on R&D spend, outsourcing locations/partners, market trends, etc and excellent turnaround time for requests. Quick homework before targeting an account is possible when we have Draup analysis in hand. A good platform for all New Business Development / sales efforts.
Ramachandra Prabhu
Ex- Group Marketing Manager
Amazing engineering insights; depth of information helps in account planning. Draup for Sales is benefiting our account-based marketing, so we target the right individuals with the right offers.
Venkat Padmanabhan
Vice President - Digital Engineering and Manufacturing Services
Draup’s data is now a critical part of the Microsoft customer sales journey. Their deep account intelligence has really pulled through in helping us unlock several enterprise accounts. Our sellers spend less time on research, & instead focus on building actionable strategies for our sales plays. The savings in time, cost & research efforts are a game-changer.
Vijay Rajagopalan
Partner GM Product & Engineering – Business & Industry Copilot

Powered by unparalleled global market data

Powering 80+ Machine Learning models and 12+ Psychology models
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant.
ACCESSIBLE
Data exchange and APIs, platform or a combination.
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results.
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
700M+
Job Descriptions
33
Industries
600K+
Outsourced Workflows
8M+
Executives
1000+
Custom Reports
700M+
Job Descriptions
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
1.6M+
Companies
250K+
Service Providers
900K+
Accounts Priorities
59K+
Technology Solutions
1000+
Custom Reports
GRANULAR
AI-enabled data updated continuously, historically available, and regionally relevant
ACCESSIBLE
Data shares and feeds, software, professional services, or a combination
PROPRIETARY
Unique taxonomies and methodologies providing insights that drive proven results

Frequently Asked Questions

What makes this different from a generic lead list or people search tool?

Lists give names. We give signals + context: Business Intentions, stack changes, financials, geo footprint, outsourcing, and buyer-org maps, so reps know who to contact and what to say.

How do you decide which accounts to prospect first?

Accounts are scored on Fit, Intent, and Timing. Fit = ICP firmographics & footprint; Intent = Business Intentions, started/stopped tech, outsourcing; Timing = exec moves, renewals, real-time events, and reachability.

Can we micro-target opportunities (e.g., by install base or region)?

Yes. Filter by competing install base, product segment, R&D/hiring locations, partner presence, and outsourcing footprints to zero in on winnable niches.

How do you personalize outreach at scale?

We generate message kits from account characteristics, emerging use cases, and buyer viewpoints, mapped to the actual committee (influence/role), so sequences land with relevance.

Where does the data come from and how fresh is it?

Multi-source, corroborated, and continuously refreshed. Trigger alerts fire on stack changes, exec moves, M&A, center setups, renewals, and other meaningful events.​

Will this replace our sales-engagement tool?

No. It feeds your engagement platform and CRM with prioritized accounts, contacts, reason codes, and next best actions so your current sequences work smarter.

How accurate are the contacts?

We use public, verified professional data with confidence scoring and easy suppression/dedupe. You control validation rules before anything reaches reps.​

Is it GDPR compliant?

Yes. GDPR-aligned practices, data minimization, auditability, and role-based access. We only use publicly available professional information.

Can we bring first-party signals?

Absolutely. Ingest product usage, win/loss, campaign engagement, and partner telemetry; fold them into scoring and routing in your CRM.

How does this help SDR, AE handoffs?

Shared lists, tags, and notes, territory locks, and reason codes keep everyone working the same prioritized plan without collisions.

Do you support partner, ISV attach and competitive displacement?

Yes. Prospect where install base + started/stopped signals indicate attach or replacement; coordinate with alliances on timing and target contacts.

How fast to first value?

Teams typically publish Top-100 prioritized prospects per territory and launch signal-based plays in week one.

How do we measure ROI?

Track lift in reply rate, meetings set, meeting→opportunity conversion, stage velocity, win rate, ACV, and cost-to-sell (research time saved).

Can we customize models and thresholds?

Yes. Tune weights, decay windows, and filters by region, segment, product line, and motion (net-new vs. expansion).

What about inbound leads - do you help prioritize them too?

Yes. Score inbound against the same Fit, Intent or Timing model to bubble up high-propensity leads and route them instantly.

How do you reduce noise and false positives?

We require multi-signal corroboration, apply recency decay, and let you set minimum buyer-coverage rules so reps only work reachable, relevant prospects.