Why Account Scoring Matters
Your sales team has limited time. An SDR can make 40-50 meaningful outreach attempts per week. Account executives can manage 20-30 active opportunities. Marketing can run campaigns to maybe 100-200 target accounts per quarter.
You can't pursue every account in your addressable market. You need to prioritize.
Account scoring is the mechanism that separates high-probability opportunities from low-probability ones. It tells your team: "Call this account first. This one next. This one last."
Without scoring, you're guessing.
Two Dimensions of Account Scoring
Account scoring has two components that work together.
1. Fit Score: Is This Account a Good Fit for Your Solution?
Fit scoring answers: "Does this account match our ideal customer profile?"
Fit is about the account's characteristics. It's mostly static. It doesn't change much month-to-month.
Fit score includes things like: - Company size (employee count) - Annual revenue or funding - Industry vertical - Technology stack - Geographic location - Stage (Series A, Series B, publicly traded, etc.)
Example: Your ICP is "Series B SaaS companies with 30-200 employees in the MarTech or Sales Tech space, with $10M+ ARR, based in the US or Western Europe."
A company that matches most of these characteristics scores high on fit. A company that's a solo founder (stage is wrong), in the wrong industry, or too small (headcount is wrong) scores low on fit.
Fit score tells you: "Is this account worth knowing about at all?"
2. Engagement Score: Is This Account Actively Showing Interest?
Engagement scoring answers: "Is this account currently in buying mode or showing behavior that suggests they might be?"
Engagement is about the account's recent behavior. It changes frequently. A low-engagement account might suddenly spike in engagement if a buying window opens.
Engagement includes things like: - Content downloads from your website - Visits to your pricing page - Email opens and clicks - Webinar attendance - Demo requests - Sales calls taken - Third-party intent signals (competitor site visits, category searches) - Implicit signals (hiring in relevant roles, funding announcements, executive changes)
Example: An account that matches your ICP perfectly (high fit) but has zero engagement in the past 30 days scores low on engagement. An account with moderate fit but very high recent engagement might score high on engagement overall.
How Fit and Engagement Create Prioritization
Here's where account scoring becomes practical:
High Fit + High Engagement = PRIORITY 1
These are your hottest opportunities. They match your ICP and they're showing strong buying signals. Call them immediately. Run focused campaigns. Assign your best sales reps.
Example: A Series B MarTech company with 80 employees just hired a new VP Sales. They've visited your site 12 times in the past two weeks, downloaded your sales process guide, and watched your demo video. They just responded to an email inquiry. This account scores high on both dimensions. It's a sales opportunity right now.
High Fit + Low Engagement = PRIORITY 2
These are prospects worth nurturing. They match your ICP perfectly, but they're not actively buying right now. Run nurture campaigns. Keep them warm. When engagement signals spike, move them to priority 1.
Example: A Series B MarTech company with 100 employees that matches your ICP in every way but hasn't visited your site in six months. No recent engagement. But they're still a great fit. Nurture them with valuable content. When they show signs of interest, sales should engage.
Low Fit + High Engagement = PRIORITY 3
These might be opportunities, but they're not ideal. They're showing buying intent, but they don't match your ICP. Sales can pursue them if they have capacity, but don't prioritize. They might have lower win rates, lower ACV, or higher churn.
Example: An enterprise company (outside your ideal size) that works in a different industry (wrong vertical) is actively downloading your content and requesting demos. They're engaged. But they don't match your ICP. Sales can follow up, but don't allocate your best reps or expect high conversion.
Low Fit + Low Engagement = PRIORITY 4
These accounts get your least attention. They're not a good fit and they're not showing interest. Don't pursue them proactively. If they inbound, respond, but don't allocate resources.
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You don't need a data scientist to build an account scoring framework.
Step 1: Define Your ICP and Create a Fit Score
List the characteristics that define your best customers: - Company size range (e.g., 50-300 employees) - Industries (e.g., MarTech, Sales Tech, FinTech) - Stage (e.g., Series B-C) - Use case (e.g., sales teams trying to improve sales process) - Geography (e.g., US, Western Europe)
Assign points to each characteristic. An account that hits all your criteria gets 100 points. An account that misses one gets 80. An account that misses multiple gets 50 or lower.
Step 2: Identify Your Engagement Signals
What behaviors indicate buying interest for your product? - Downloads your content (5 points) - Visits your pricing page (10 points) - Requests a demo (20 points) - Attends your webinar (5 points) - Opens your emails (1 point per open) - Visits your site more than 5 times in 30 days (10 points) - Matches a third-party intent signal (10 points)
Assign point values based on how much each signal predicts a deal.
Step 3: Combine Fit and Engagement
Account score = (fit score x 0.7) + (engagement score x 0.3)
This formula assumes fit is more important than engagement (you can adjust weights based on your data). An account with high fit will score high even if engagement is low. But a high-engagement account can become a priority even if fit is moderate.
Step 4: Set Thresholds for Action
- Accounts scoring 85+: SDRs engage immediately
- Accounts scoring 70-84: SDRs engage in next available outreach window
- Accounts scoring 50-69: Marketing nurtures
- Accounts scoring below 50: Don't pursue
You can adjust these thresholds based on your sales capacity.
Making Account Scoring Work in Practice
Update Scores Weekly
Engagement signals change fast. A prospect who had zero engagement last week might download three resources this week. Your scoring system should capture this shift and alert your team.
Track What Works
After 30 days, analyze: which high-scoring accounts converted? Which didn't? Use that data to refine your fit criteria and engagement signals.
Example: You might discover that accounts with high fit AND recent job change signals convert at 3x the rate of other accounts. Add more weight to job change signals.
Don't Be Rigid
Account scoring is a guide, not a rule. If a low-scoring account inbounds expressing strong interest, pursue it. If a high-scoring account explicitly says they're not buying right now, respect that.
Use scoring to allocate your limited time toward the most likely opportunities, not to dismiss anyone.
The Outcome
With account scoring, your sales team moves with intention. They know which accounts to call first. Marketing knows which accounts to nurture. Account executives know where to focus for maximum impact.
You'll close more deals. Your sales cycle will shorten. Your win rate will improve.
Start with fit and engagement. Build from there.
