The ICP Scoring Audit: Qualifying Outbound Accounts

Marketing Academy · Field Work●Product Marketing

All projects·From: Ideal Customer Profile (ICP)

MiniAudit· 20 minutes

Freshworks

Objective: Audit a real-world pipeline export of 25 B2B prospect accounts using the lesson's 5-dimension ICP framework (firmographics, technographics, and behavioral triggers) to score fit, eliminate low-intent tire-kickers, and prioritize the top 20% high-LTV accounts for sales outreach.

You are the marketing operations lead at Freshworks reviewing a list of 25 inbound trial signups and outbound targets. With sales reps spending too much time on accounts that churn after 60 days, you must build an objective ICP scoring model in a spreadsheet to separate high-retention mid-market targets from unqualified leads.

Apply a 100-point ICP scoring rubric across firmographics (employee count 50-500, B2B SaaS/services), technographics (uses modern CRM/helpdesk stack), and behavioral intent (active hiring for support leads or high trial activity). Rank accounts into Tier 1 (Outreach Now), Tier 2 (Nurture), and Tier 3 (Disqualify).

Before you start

What you'll need

Free path (everything below is enough to finish)

Google Sheets

FreeBuild weighted account scoring algorithm and filter pipeline rows

Free, universal formula-driven calculation tool

Paid upgrades (optional, faster/deeper)

HubSpot CRM(optional)

FreemiumDeploy custom account fit score properties and automated list routing

Automates pipeline prioritization in real-world sales operations

The process

3 steps

Step 01 of 03

Firmographics

The lesson defines firmographics as the hard, filterable attributes (industry, employee count, ARR range, geography) that establish the baseline qualification threshold for any target account.

Across a sample of 25 B2B inbound trial accounts, which firmographic criteria immediately disqualify low-fit accounts and isolate the mid-market target tier?

Google Sheets— Import the prospect CSV and apply firmographic filter columns for employee count (50-500) and target industry.

Procedure

Import pipeline prospect dataset into Google Sheets
Create filter rules: Employee headcount between 50 and 500 (+25 pts), Target Verticals (B2B SaaS, E-commerce, Fintech) (+15 pts)
Flag accounts under 10 employees or outside target geographies as Out-of-ICP

Sample output

FIRMOGRAPHIC QUALIFICATION:
- Account: CloudScale Systems | 180 employees | B2B SaaS | North America -> PASS (+40 pts)
- Account: Apex Retail Hub | 320 employees | E-commerce | UK -> PASS (+40 pts)
- Account: Dave's Corner Deli | 3 employees | Local Dining | USA -> DISQUALIFIED (Under 10 headcount, Non-target vertical)

Healthy

Out-of-ICP micro-accounts and non-target industries are immediately filtered before SDRs expend outbound effort.

Unhealthy

Treating all inbound trial signups with equal priority regardless of employee count or revenue scale.

What this means

Firmographic filtering prevents sales pipeline bloat by enforcing strict baseline account characteristics.

So what do I do about it?

Symptom	Action	Effort
SDRs spend 40% of their outreach time on 2-person businesses that cannot afford annual contracts	Implement automated CRM lead routing that automatically archives non-ICP headcount signups	30 min

YouYou can do this yourself, no engineering access required.

Step 02 of 03

Technographics

Technographic criteria evaluate the existing software stack and integration readiness of the prospect to predict adoption velocity and integration compatibility.

Which technographic indicators confirm the prospect has the necessary CRM, billing, and communication infrastructure to realize rapid product value?

Google Sheets— Add 'Technographic Stack' scoring columns to the account evaluation sheet.

Procedure

Score existing stack: Deployed modern CRM (HubSpot, Salesforce) (+15 pts), Cloud ticketing/chat tool active (+15 pts)
Check for presence of required webhook or API integration capabilities
Deduct points for legacy on-premise air-gapped infrastructure

Sample output

TECHNOGRAPHIC STACK AUDIT:
- CloudScale Systems: Stack = Salesforce CRM + Stripe + Jira -> Tech Score: 30/30 (High integration readiness)
- Apex Retail Hub: Stack = Shopify Plus + Gorgias + Slack -> Tech Score: 30/30 (Ideal migration candidate)
- LegacyCorp Manufacturing: Stack = On-Premise AS400 -> Tech Score: 0/30 (Air-gapped, zero cloud API compatibility)

Healthy

High scores correlate with modern cloud tech stacks that enable 1-click API integration.

Unhealthy

Assuming any company with a high employee count is qualified, ignoring incompatible legacy technology stacks.

What this means

Technographics indicate whether the customer can actually activate and use your product without bespoke engineering.

So what do I do about it?

Symptom	Action	Effort
Deals stall during technical onboarding due to lack of supported API connectors	Make technographic stack verification a required field before creating an opportunity in CRM	5 min

YouYou can do this yourself, no engineering access required.

Step 03 of 03

Behavioral Signals

Behavioral signals are observable actions (hiring for specific roles, recent funding, high product usage) indicating an immediate buying trigger.

What behavioral signals indicate the highest buying intent across qualified accounts?

Google Sheets— Calculate final composite ICP score incorporating hiring data and product trial usage.

Procedure

Add behavioral points: Actively hiring 2+ support reps (+15 pts), Trial invited 3+ teammates in first 48 hours (+15 pts)
Sum total composite score (Firmographics + Technographics + Behavioral) out of 100
Classify accounts into Tier 1 (80-100 pts -> Immediate SDR Outreach), Tier 2 (50-79 pts -> Marketing Nurture), Tier 3 (<50 pts -> Disqualified)

Sample output

COMPOSITE ICP ACCOUNT RANKING:
1. CloudScale Systems: Firmo 40 + Techno 30 + Behav 30 = 100/100 -> TIER 1 (Immediate Outbound SDR Call)
2. Apex Retail Hub: Firmo 40 + Techno 30 + Behav 15 = 85/100 -> TIER 1 (Immediate Outbound SDR Call)
3. MidMarket Logistics: Firmo 30 + Techno 15 + Behav 0 = 45/100 -> TIER 2 (Automated Email Nurture)
4. Dave's Corner Deli: Firmo 0 + Techno 0 + Behav 0 = 0/100 -> DISQUALIFIED

Healthy

Tier 1 accounts exhibit clear buying triggers alongside strong firmographic and technographic fit.

Unhealthy

Reaching out to all accounts with identical cadence regardless of behavioral intent.

What this means

Timing outreach to behavioral triggers increases reply rates and accelerates sales cycle velocity.

So what do I do about it?

Symptom	Action	Effort
Outbound SDR response rates sit below 3%	Restrict SDR outbound cadences strictly to accounts with confirmed hiring or funding triggers	30 min

YouYou can do this yourself, no engineering access required.

Final deliverable

A completed 100-point ICP Account Scoring Spreadsheet with automated tiering formulas (Tier 1, Tier 2, Disqualified).

See a reference example

Sample output

Snowflake ICP Account Scoring Matrix (Sample Extract)

SCORING FORMULA (Max 100 pts):
- Firmographics (40 pts): 200-2,000 employees (+25), Cloud-first tech/Fintech (+15)
- Technographics (30 pts): AWS/GCP data infrastructure (+15), Looker/Tableau deployed (+15)
- Behavioral Signals (30 pts): Hiring Head of Data (+15), Visited pricing page 3+ times (+15)

ACCOUNT AUDIT RESULTS:
1. FinStream Analytics (Score: 95/100 -> TIER 1 - IMMEDIATE SDR OUTREACH)
   - 450 employees, Series C Fintech, running AWS Redshift + Tableau, hiring 3 Data Engineers
2. NexaRetail Tech (Score: 60/100 -> TIER 2 - MARKETING NURTURE)
   - 120 employees, E-commerce SaaS, uses Google BigQuery, no active data hiring triggers
3. UrbanBakery Supplies (Score: 10/100 -> TIER 3 - DISQUALIFIED)
   - 15 employees, Local retail distributor, on-prem legacy accounting, zero cloud data infrastructure

Success criteria

You're done when you can:

Applies all 3 ICP scoring dimensions with clear weighting
Correctly identifies out-of-ICP disqualification triggers
Generates segmented account tiers based on total fit score