In traditional demand generation, companies use lead scoring to prioritize inbound prospects. A lead takes certain actions (visits pricing page, downloads a resource, opens multiple emails), accumulates points, and gets passed to sales when it reaches a threshold. Lead scoring works for traditional channels.
Account-based marketing requires different scoring. You’re not interested in individual lead scores; you’re interested in account-level engagement. How engaged is the entire Acme Corp account across all stakeholders? Which of your 100 target accounts are showing the strongest buying signals?
Account engagement scoring answers this question. It aggregates engagement signals across all stakeholders at an account and produces a single account-level score. This score helps you decide which accounts to prioritize for continued investment and which might need different approach.
This guide walks through building an account engagement scoring system for ABM.
Why Account Engagement Scoring Matters
Account engagement scoring provides several benefits.
It prioritizes SDR and AE effort. If your SDR team has 100 target accounts but capacity to work only 30 actively, engagement scoring shows which 30 are most engaged. Your team focuses where likelihood of response is highest.
It identifies accounts ready for sales escalation. When an account’s engagement score crosses a threshold, it signals that they’re ready to move from marketing nurture to active sales conversation. Timing is critical in B2B sales.
It identifies accounts needing different approach. If an account you identified as high-value shows no engagement, its lack of response is information. Maybe your messaging isn’t landing. Maybe they’re not actively buying right now. You can test different angles or pause efforts.
It enables campaign measurement. By tracking engagement scores over time, you can measure whether your campaigns are actually increasing engagement. Engagement scores that don’t move suggest campaign isn’t working.
It helps you predict which accounts are likeliest to convert. Accounts showing strong engagement (multiple stakeholders active, multiple channels engaged, interactions over time) typically convert at higher rates than accounts showing no engagement.
What to Score
The first step in building an engagement scoring system is deciding what to score.
You’re not scoring individuals. You’re scoring accounts. An account’s engagement score reflects engagement across all stakeholders at that company.
Behavioral engagement includes actions that indicate buying interest:
Website visits by account employees Content downloads by account stakeholders Email opens and clicks LinkedIn profile views and message opens Attendance at webinars or events Form submissions Demo requests or calendar bookings
Contextual engagement reflects buying signals beyond direct interaction:
Recent funding announcement New executive hires (especially in related department) Company expansion announcement Product launches related to your category Press coverage about company challenges Recent layoffs or restructuring
Multi-stakeholder engagement reflects breadth of committee:
Number of unique individuals from account who engaged Roles of those individuals (are they practitioners, decision-makers, influencers?) Engagement from multiple departments or functions
Velocity and recency reflect momentum:
How many engagement events happened in the past week? Is momentum increasing or decreasing? Are recent events higher-quality than past events (e.g., demo request vs. email open)?
Building Your Scoring Model
Step One: Identify Signals and Weights
For each signal, decide how much it contributes to engagement score.
Some signals are strong indicators of buying intent. A demo request is stronger signal than an email open. A meeting scheduled is stronger than a web visit.
Others are weaker. An email open could mean they’re genuinely interested or they just glanced at the subject line.
Assign points based on signal strength. A common framework:
Email open: 1 point Email click: 2 points Content download: 3 points Website visit: 1 point LinkedIn profile view: 1 point LinkedIn message response: 2 points Webinar attendance: 5 points Demo request or form submission: 10 points Meeting scheduled: 15 points
These numbers are arbitrary. The relationships matter (demo requests score higher than email opens). Adjust based on what you observe in your data.
Step Two: Account Aggregation
Create a formula that aggregates stakeholder signals into account score.
Simple aggregation: Sum all points from all stakeholders at an account. If five people from Acme engaged and generated 50 points total, Acme’s score is 50.
Weighted aggregation: Weight by stakeholder role. Points from economic buyers count more than from individual contributors. Points from multiple departments count higher than points from single department.
Example: - Engagement from economic buyer: multiply points by 1.5x - Engagement from practitioner: multiply points by 1x - Engagement from technical evaluator: multiply points by 1.2x - Multi-department engagement: add 10 bonus points if engagement spans 2+ departments
Velocity adjustment: Recent engagement counts more than old engagement. Engagement from past week counts at 100%. From past month, 75%. From past quarter, 50%.
Step Three: Create Tiers or Thresholds
Decide what engagement scores mean. Do they map to tiers or stages?
High engagement: Score above 50. These accounts show clear buying signals. Dedicate resources. Work actively. Move to sales quickly.
Medium engagement: Score 25-50. These accounts show some interest but not strongly engaged. Continue nurture. Monitor for upticks. Move to sales if score increases or specific trigger events occur.
Low engagement: Score below 25. Minimal engagement. Consider pausing active outreach. Maintain minimal touch. Re-engage if score increases significantly.
Alternatively, define thresholds for actions:
Score above 40: Notify SDR that account is engaging. Suggest outreach or follow-up.
Score above 60: Alert AE that account is showing strong interest. Recommend high-touch follow-up or meeting request.
Score increased by 20+ in past week: Alert team that account momentum is accelerating.
Implementing Account Engagement Scoring
Choose Your Tool
Most marketing automation platforms have account scoring capabilities.
HubSpot: Includes account scoring as part of their platform. You define which behaviors score, it aggregates to account level.
Marketo: Robust account-based marketing capabilities including account engagement scoring.
Demandbase: Account-based platform with built-in engagement scoring specific to ABM.
Terminus: ABM platform with engagement scoring across channels.
6sense: Intent data platform that includes engagement scoring.
Alternatively, build scoring using spreadsheets or a BI tool if you have engineering capacity.
Set Up Tracking
Ensure all engagement data is flowing into your system.
Website behavior: Install analytics tracking (Google Analytics, HubSpot, similar) that attributes visits to companies and individuals.
Email: Integrate email platform with CRM or ABM platform so opens and clicks are logged by account.
LinkedIn: Use LinkedIn Insights and Company Pages to track engagement and comments attributed to company.
Forms: Ensure all form submissions are tied to company.
Meetings and calls: Train sales team to log all meetings and calls in CRM. Use this for scoring.
Configure Scoring Rules
In your platform, configure which behaviors score and how much:
Website visit: 1 point Email open: 1 point Email click: 2 points Content download: 3 points LinkedIn engagement: 2 points Webinar attendance: 5 points Meeting scheduled: 15 points
Configure decay: Older activities score less. A visit from 3 months ago scores less than one from last week.
Configure role weighting: If you can identify stakeholder role, weight accordingly.
Configure thresholds: Define what scores trigger notifications or actions.
Monitor and Iterate
Review account engagement scores weekly.
Which accounts are highest scoring? Are they accounts you expected to see? If your highest-scoring accounts are poor-fit accounts, your scoring model might be wrong.
Which high-value accounts have low scores? These are accounts you’d like to engage more. Maybe your messaging isn’t landing. Maybe they’re not buying right now. They warrant investigation.
Are scores moving over time? Is there upward momentum? If you launched a campaign, is engagement increasing? If not, campaign might need adjustment.
Adjust your scoring model monthly. If you notice that demo requests never convert, maybe reduce their weight. If you notice that LinkedIn engagement from certain roles predicts conversion, increase that weight.
Multi-Touch Engagement Scoring
Simple engagement scoring sums all touches. But not all touches are equal.
A prospect who downloaded a guide, then attended a webinar, then opened five follow-up emails, then requested a demo is more engaged than a prospect who just opened an email.
Multi-touch engagement scoring evaluates the sequence and quality of touches.
First touch (awareness): Content download or initial engagement = 5 points Middle touches (consideration): Multiple channels, sustained engagement = 10 points per touch Late touches (decision): Demo, meeting request = 25 points per touch
Sum these to create a more nuanced engagement score that recognizes progress through buyer journey.
Engagement Scoring for List Expansion
Account engagement scoring isn’t just for your defined target accounts. It’s useful for discovering net-new opportunities.
If you have 100 target accounts, some might not be engaging. Meanwhile, accounts outside your target list might be showing strong engagement. This is signal that they might be worth pursuing.
Set up monitoring for all accounts in your addressable market, not just your target accounts. Identify accounts not on your initial list that show strong engagement. These become candidates for expansion.
Example: You targeted financial services companies, but you notice a manufacturing company showing strong engagement with your content. This signals that manufacturing might be worth exploring.
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See the demo →Mistakes in Account Engagement Scoring
Scoring without strategy: If you score but don’t use scores to inform actions, scoring is pointless. Define upfront: if an account scores above X, what happens? If you don’t answer that, don’t bother scoring.
Identical scoring for all accounts: Your Tier 1 accounts might need higher engagement threshold than Tier 2. A Tier 1 account with score of 30 might be actively engaged relative to their tier, while Tier 2 account with score of 30 might be below par. Account for tier in your thresholds.
Ignoring role and seniority: Five engagement events from individual contributors is different from two from the CFO. Weight accordingly.
Expecting perfect predictability: Some accounts will score high and not convert. Some will score low and surprise you by converting. Scoring is probabilistic, not deterministic.
Not refreshing model: As your business and market change, engagement scoring should evolve. Quarterly review is reasonable.
Siloed scores: If marketing has engagement score but sales is using different criteria to prioritize, you’re not aligned. Ensure everyone is using the same scoring.
Getting Started
Start simple. Define three engagement signals: website visit, email open, content download. Assign simple point values.
Get account engagement scores for your 100 target accounts. See how they distribute.
Validate: Do high-scoring accounts feel like accounts you’d want to pursue? Do low-scoring accounts feel like accounts you should de-prioritize?
Define action thresholds: If score is above 40, SDR reaches out. If score is above 60, AE schedules meeting. Etc.
Run for 2-3 months. Measure: do high-engagement accounts convert at higher rates than low-engagement accounts?
Refine based on data. Add signals that prove predictive. Remove signals that don’t.
Most companies implementing engagement scoring see 20-30% improvement in sales productivity because team focuses on most engaged accounts. Combined with strategic account selection, engagement scoring becomes your guiding light for prioritization.
Engagement Scoring Evolution
As your ABM program matures, your engagement scoring will naturally become more sophisticated.
Year 1: Basic scoring. Email opens, clicks, content downloads. Simple points. Learn which signals matter.
Year 2: Multi-dimensional scoring. Add role weighting. Add time decay. Add multi-stakeholder bonuses. Incorporate sales activities.
Year 3: Predictive scoring. Use machine learning to predict which engagement patterns correlate most strongly with conversion. The algorithm learns from your data.
Year 4+: Custom models. Engagement scoring becomes so integrated with your business that it feels like one system, not a separate reporting exercise.
This evolution is natural. Don’t try to be Year 3 on day one. Start simple. Layer complexity as you gain confidence and data.
Engagement Scoring Across the Team
Engagement scores are powerful only if everyone understands and uses them.
Marketing uses engagement scores to: - Identify accounts ready for sales handoff - Measure campaign effectiveness (do campaigns increase engagement scores?) - Adjust messaging for low-engagement accounts - Validate ICP (ICP accounts should have high engagement scores)
Sales uses engagement scores to: - Prioritize which accounts to call - Time outreach when accounts are showing high engagement - Understand account momentum (is engagement increasing or decreasing?) - Know when to escalate to executive level (high engagement signals senior sale potential)
Leadership uses engagement scores to: - Assess program effectiveness (is engagement increasing over time?) - Make budget allocation decisions (invest more in channels that drive engagement?) - Set team targets (SDR should engage 10 new accounts per week) - Forecast pipeline (based on engagement, how much pipeline will be created?)
When all three groups understand engagement scoring and use it in their work, it becomes powerful organizational tool. Alignment emerges. Everyone is using the same definition of account health.
Avoiding Engagement Score Gaming
As engagement scoring becomes more prominent, watch for gaming.
It’s possible to achieve high engagement scores without quality. An SDR could send 50 emails to an account, generating multiple opens and clicks, building high engagement score, but none of it translates to real interest.
Prevent this through validation. Spot-check high-scoring accounts. Are they genuinely interested or just active? Have conversations with stakeholders. Ask if they’re evaluating solutions. Use human judgment to validate scores.
Make it clear to your team that engagement scores matter because they predict business outcomes, not because hitting scores is the goal. If an account has high engagement but never converts to opportunity, that’s signal to adjust your scoring model.
Getting Started with Engagement Scoring
Start with data you already have. If you use a marketing automation platform, it already tracks email opens, clicks, and form submissions. Pull that data.
Manually calculate engagement score for 10 of your target accounts. Document every touch. Assign points. Calculate total.
Do the scores feel right? Do high-scoring accounts feel like accounts you’d want to pursue? If not, adjust your point allocation.
Automate in your platform. Set up the scoring rules. Let it run.
Review scores weekly. Which accounts score highest? Do they align with your intuition about best accounts?
Monthly, validate. Do high-engagement accounts actually convert to opportunities at higher rate than low-engagement accounts?
If yes, you’ve got working system. Double down on it.
If no, something’s wrong. Either your scoring doesn’t capture what matters, or your engagement assumptions are off. Investigate.
Most companies find that after 3 months of scoring, patterns emerge. They learn what engagement actually predicts conversion in their business. That learning becomes core to ABM strategy.
Start scoring your accounts this week. In 6 weeks, you’ll see patterns that guide your team’s effort. By quarter-end, engagement scoring will be integrated into your everyday prioritization and planning.
