You can’t win a market by chasing every logo

Most aren’t buying; find the few that are

Random Outreach

Named-account lists are big, budgeted intent is small - leading to random activity and unorganized pipeline.

Limited Research

Hours wasted researching filings, news, job posts, and stacks → high cost-to-sell.​

Prioritization Gaps

ABM and field motions aren’t aligned to where demand is forming (industry use cases, geo moves, vendor shifts).

Outdated Signals

Forecasts slip because deals aren’t tied to objective account triggers (renewals, exec moves, tech stack, outsourcing awards).​

Prioritize Accounts with Signal-Driven Scoring​

Draup ranks accounts by three explainable pillars

1

Fit

ICP match, firmographics, geo footprint & R&D locations, IT workforce density, and ecosystem context (industry drivers & emerging use cases)

2

Intent​

Business Priorities, tech stack (1,500+ segments / 56K+ product & categories), outsourcing workloads & vendor map, real-time events, investment opportunities

3

Timing & Reachability​

Executive movements, renewals, announcements, buyer-org coverage and influence, open access paths and new investment opportunities.

Find the 10% that gives you 90% of the revenue​

Less chasing, more closing

Focus
Reps spend time where funded priorities and signals exist.​
Speed
Prioritize most likely accounts in minutes, not weeks.
Confidence
Deals tied to objective triggers, fewer slips, tighter forecasts.​
Scale
Repeatable scoring across regions, segments, and motions.​

Draup creates a updated, signal-driven ranking of accounts

Every prioritized account comes with reason codes: which signals fired, when, and suggested talktracks.

One-click Top-N lists

per region, product, or vertical.​

Explainable scores

with reason codes and talk tracks.​

Customizable weights

for fit, intent, and timing - tune by motion (net-new vs. expansion).​

CRM integration

push scores, reason codes, and next best actions into Salesforce, HubSpot, or Marketo.

Built on Draup 360 data integrity

consolidated, de-duplicated, ghost-free profiles ensure accounts and buyer-org coverage are always accurate.​

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 exactly is Account Prioritization?

A signal-driven ranking of target accounts, combining Industry, Account, and Buyer intelligence (Business Intentions, stack changes, financials, geo footprint, outsourcing, committee maps) to show where to focus now.

How are accounts scored?

Three pillars: Fit (ICP, firmographics, footprint, industry drivers), Intent (Business Intentions, started/stopped tech, outsourcing, announcements), and Timing/Reachability (exec moves, renewals, buyer-org coverage). Each pillar is weighted and explainable.

Can we customize the scoring model?

Yes. Adjust weights, thresholds, decay windows, and tie-breakers by region, segment, product, and motion (net-new vs. expansion).

Where do the signals come from?

Multi-source, corroborated data across public, partner, and licensed sources; normalized and quality-checked before it hits sales.

How fresh are the rankings?

Continuously refreshed with alerts for new signals (stack change, exec move, renewal, center setup, M&A). Recency decay keeps old signals from inflating scores.

Is it explainable to reps?

Every prioritized account comes with a reason code: which signals fired, when, and suggested talk tracks (use cases + relevant products/solutions).

How does this differ from generic intent data?​

Generic intent infers web interest. Draup ties objective, account-level signals (earnings priorities, stack churn, outsourcing, governance) to why now and who decides.

Will it help with territory design and routing?​

Yes. Create Top-N lists per territory, auto-route by thresholds/capacity, and prevent collisions with account-level locks and audit trails.

How does it integrate with our stack?

Native connections and exports to CRM/ABM; push scores, reason codes, owners, and next best actions into workflows, sequences, and dashboards.​

Can we prioritize named accounts and discover whitespace?​

Yes. Rank named accounts and surface look-alike/adjacent accounts where industry and stack signals mirror your winners.

Does it support geo and practice decisions (services teams)?

Yes. Use R&D maps, globalization indices, outsourcing footprints to focus regions, staff correctly, and time approach.

How do we reduce noise and false positives?

Use confidence thresholds, multi-signal corroboration, and decay; filter by minimum buyer-org coverage to ensure reachability.

What does rollout look like?

Week 1: connect data + push Top-50 per region.​
Weeks 2–4: tune weights, enable playbooks, set alerting and routing.​
Quarterly: review KPI lift, adjust thresholds.

Which KPIs should move?

Win rate, ACV, sales cycle, meeting→opportunity conversion, pipeline coverage/quality, expansion/renewal revenue, forecast accuracy, cost-to-sell (less research time).

How do we measure ROI?

Before/after on meeting set rate, M→O conversion, stage velocity, slip rate, late-stage losses, plus rep time saved on research.

Is it GDPR-aligned and enterprise-ready?

Yes. GDPR-aligned, role-based access, SSO, auditability, and configurable field exposure by team/region.

Can we bring our own signals?

Yes. Ingest first-party product usage, win/loss, campaign engagement, partner telemetry; map them into the scoring model.

What about pricing and pilots?

Pricing is based on seats and coverage. We support focused pilots with success criteria tied to the KPIs above.