The scoring model

Four sourced scores for every account you touch

Depth, Expertise, Timing, and Whitespace. Every score points back to a public record. No black-box tiers, no invented intent.

Live scoring

Watch an account get scored in real time.

We resolve the domain, pull DNS and cert-log records, walk the marketing surface, and cross-reference LinkedIn. Every score you see below traces to a public record we can hand you.

› resolve tcs.com
› dns.txt · spf · marketo detected
› cert.log · pardot subdomain, 2023
› linkedin · 3 admins, 1 mvp
✓ scored in 1.4s
Tata Consultancy Services
tcs.com · verified today
Priority
Depth
0/10
Marketo + OneTrust + Pardot live
Expertise
0/10
3 certified admins, 1 MVP, tenure 4.1y
Timing
0/10
Stack age 4.1y, 3 open RevOps roles
Whitespace
0/10
Sales Cloud live, Service Cloud absent
Inside the product

What you see when you open an account.

Two of the views your team lives in every day. Sourced, exportable, and shareable with the buying committee.

Footprint

The full scoring panel, per account.

Every score has a definition, a 0-10 value, and the raw signals that produced it. Expand any row to see the underlying records.

Footprint scoring panel for Emcara Health showing Depth, Expertise, Stack Age, Switching Cost, Buying Window, Vendor, and Whitespace scores
Hierarchy

Decision-makers and practitioners, side by side.

Filter by seniority, verify emails, flag Trailblazers and certified admins, and export the shortlist your rep should actually work.

Hierarchy view for Accenture Services showing decision-makers, verified contacts, and Trailblazer flags
Depth
0, 10 · Product surface area

How much of the vendor's platform is live on their infrastructure, not just which parent SKU shows up in a press release.

Signals read
  • DNS records for product subdomains (auth., pardot., marketo., trk.)
  • TLS certificate transparency logs for spin-up dates
  • Page-source fingerprints for embedded product features
  • Third-party tracker chains attached to marketing surfaces
example › Marketo detected at 50% confidence, OneTrust at 80%, Pardot subdomain live since 2023, deep footprint, Depth 8/10.
Expertise
0, 10 · Bench strength

Who inside actually runs the stack. Distinguishes a badge on the wall from a practitioner shipping every week.

Signals read
  • LinkedIn skill graphs with recency weighting
  • Certifications and Trailblazer / partner tiers
  • Tenure in role, not just headcount
  • Ecosystem influencer flags (public speaking, OSS, community)
example › Three certified admins, one MVP, mean tenure 4.1 years, mature bench, Expertise 7/10.
Timing
0, 10 · Buying window

When they are actually in-market. Renewal windows, hiring spikes, and stack-age all rolled into one score that updates weekly.

Signals read
  • First-cert dates to estimate stack age per product
  • Hiring pages for role velocity and category signal
  • Version-age and end-of-life for known SKUs
  • Job-posting cadence for anchor roles (RevOps, IT lead, admin)
example › Stack age 4.1 years, three open Salesforce roles, buying window widening, Timing 8/10.
Whitespace
0, 10 · Room to expand

Modules and adjacent products that logically fit the current footprint but haven't been rolled out yet.

Signals read
  • Detected modules vs. logical-next module map
  • Switching-cost composite (age + depth + integration count)
  • Implementing agency / SI from case studies
  • Cross-sell ranking by fit and implementation effort
example › Sales Cloud live, Service Cloud absent, high switching cost, medium whitespace, Whitespace 6/10.
How we score

From raw record to a defensible number.

Four steps, every one auditable. If a score looks wrong, click through to the raw record and check our work.

01
Resolve the entity

Take the domain, walk WHOIS, DNS, and cert-transparency to establish the real infrastructure boundary. Subsidiaries and rebrands get merged into one account.

02
Read live signals

Query DNS TXT/CNAME, TLS cert logs, page-source fingerprints, tracker chains, LinkedIn skill graphs, and hiring pages. Every read is timestamped and cached.

03
Weight and confidence

Each signal carries a confidence weight based on source reliability and recency. A live subdomain scores higher than a marketing-page mention.

04
Compose the 0-10

The four scores compose from weighted signals with a documented formula. You see the inputs and the math, not a black-box tier.

// worked example · TCS
depth = 0.4·marketo(0.5) + 0.3·onetrust(0.8) + 0.3·pardot(1.0) → 7.4 → 8/10
Score-to-action playbook

A score is only useful if it tells you what to do next.

We bundle each band with the play a good rep would run anyway. New AEs stop guessing on day one.

Score
Band
Next best action
0-3
Cold
Skip or route to nurture. Not a fit today, and outbound will burn reputation.
4-6
Warming
Add to research queue. Track for a triggering event, hiring, funding, cert renewal.
7-8
In-window
Book the meeting this week. Lead with the specific signal we detected.
9-10
Hot
Executive introduction, same day. Bring the buying committee map.

Score your top 25 accounts this week.

Send us the list. We return the four scores, sourced signals, and a suggested play for each. No obligation to buy.

Request the scored list