ABM Account Scoring Made Actionable with 6sense

Lead Scoring vs. Account Scoring (Through an ABM lens)

Lead scoring and account scoring aren’t competing strategies—they’re complementary. But in an account-based marketing (ABM) motion, they play very different—and very intentional—roles.

• Lead scoring helps you decide who within an account to talk to. It evaluates individual prospects based on personal engagement and fit, so sales knows which contacts are most sales-ready and worth immediate follow-up.
• Account scoring helps you decide which accounts deserve attention in the first place. It evaluates entire companies based on collective buying signals, firmographic fit, and strategic value—allowing SDRs and sellers to focus their time on accounts that actually matter, not just the loudest individual leads.

This distinction is critical in ABM.

You might have a highly engaged individual from a poor-fit company (strong lead score, weak account score). Or you might see light engagement from a high-value target account where multiple stakeholders are quietly researching your category (low individual lead scores, but a strong account score).

ABM breaks when teams optimize for individuals instead of accounts.

When lead scoring and account scoring work together, they create a prioritization model that aligns marketing and sales around target accounts first, while still surfacing the right stakeholders inside those accounts at the right moment.

This is where 6sense account scoring becomes especially powerful for ABM teams. By capturing anonymous intent signals across the entire buying committee—not just known leads—it surfaces in-market accounts before they ever fill out a form. That enables sales to engage priority accounts earlier in the buying cycle, coordinate outreach across roles, and focus effort where it has the highest revenue impact.

The Four Pillars of 6sense Account Scoring (Built for ABM)

In an account-based marketing strategy, account scoring isn’t just about intent—it’s about deciding where your teams spend time and budget. 6sense account scoring works best when it’s grounded in four core pillars that reflect both buying readiness and strategic account value.

1. Buying Stage (6sense’s Core ABM Advantage)

6sense’s AI-powered buying stage is the backbone of any ABM scoring model. Instead of relying solely on known leads, it analyzes anonymous research behavior across the web to determine where entire accounts are in their buying journey:

• Target: Early awareness signals starting to emerge
• Awareness: Active category research, still exploratory
• Consideration: Comparing vendors and solutions
• Decision: Actively shortlisting vendors
• Purchase: In an active buying cycle

For ABM teams, this matters because buying intent often exists before any form fill ever happens.

How to score it:
Weight buying stage heavily. Accounts in Decision or Purchase should receive significantly more points than those in Awareness—regardless of other factors. Many ABM teams use a multiplier model, where Decision/Purchase accounts receive 3–5x the base score, ensuring in-market accounts rise to the top.

2. Engagement Level (How Accounts Engage With You)

Buying stage tells you what an account is doing across the market. Engagement tells you how well your ABM programs and outreach are landing with that account.

Key engagement signals include:

• Website visits and page depth
• Content downloads and webinar attendance
• Email opens and clicks from ABM campaigns
• Sales outreach responses
• Demo requests or direct inquiries

In ABM, engagement should be evaluated at the account level, not just by individual contacts.

How to score it:
Use tiered engagement scoring. High-intent actions (demo requests, pricing page visits) should score 2–3x higher than passive engagement like blog views. Prioritize engagement velocity—a sudden spike across multiple stakeholders is far more meaningful than sporadic activity over time.

3. Profile Fit (ICP Alignment)

ABM isn’t just about finding accounts that are in market—it’s about finding the right accounts that are in market. Your scoring model should reflect how closely an account aligns with your ideal customer profile (ICP), including:

• Industry and sub-industry
• Company size (employees and revenue)
• Technology stack and current tools
• Geographic location
• Growth indicators (hiring trends, funding, expansion)

How to score it:
Use a combination of hard gates and weighted attributes. For example, if you only sell to companies with 500+ employees, accounts below that threshold should be excluded or heavily deprioritized. Preferred industries or strategic segments can receive bonus weighting to reinforce ABM focus.

4. Segment Priority (Strategic Account Value)

Not all accounts are equal in an ABM strategy—regardless of intent. Some accounts deserve visibility simply because of their strategic importance:

• Named accounts on your ABM target list
• Existing customers with expansion or cross-sell potential
• Competitive displacement opportunities
• Accounts with strong brand or market influence
• Enterprise vs. mid-market vs. SMB tiers

How to score it:
Apply segment-based multipliers. Tier 1 ABM accounts might receive a 2x multiplier on their total score, ensuring they surface even when intent signals are moderate. This prevents high-value accounts from being buried under short-term engagement noise.

Building Your ABM Scoring Framework: A Step-by-Step Approach

Step 1: Define Your ABM Scoring Buckets

Start by defining scoring tiers that align with sales capacity and ABM plays, not theoretical demand. There’s no universal “correct” number—your tiers should reflect what your team can realistically follow up on.

Sponge typically recommends four account tiers:

Hot (90-100 points): Immediate ABM outreach required

• Decision/Purchase buying stage + strong multi-stakeholder engagement + high ICP fit

Warm (70-89 points): Prioritize for outbound and mid-funnel ABM

• Consideration stage + moderate engagement + good fit
• OR Decision stage + lower weaker fit

Developing (50-69 points): Add to nurture campaigns and light ABM programs

• Awareness/Consideration + low engagement + high ICP fit
• OR higher buying stage + poor fit

Cool (Below 50 points): Monitor only

• Early stage with minimal intent or engagement

The advantage of this model is flexibility. ABM capacity shifts over time—quarter ends, pipeline gaps, staffing changes. These buckets allow you to raise or lower thresholds without rebuilding your entire scoring system.

Step 2: Assign Point Values to Each Scoring Factor

This sample framework is meant to be directional, not prescriptive. Don’t overthink whether Decision should be worth 35 or 40 points—what matters is relative importance in an ABM context.

Buying Stage (40 points max)

• Purchase: 40 points
• Decision: 35 points
• Consideration: 25 points
• Awareness: 15 points
• Target: 5 points

Engagement Level (30 points max)

• High-intent action (demo, pricing): 30 points
• Medium-intent (webinar, guide download): 20 points
• Low-intent (blog visit, email open): 10 points
• Multiple touchpoints (5+ in 30 days): +10 bonus points

Profile Fit (20 points max)

• Perfect ICP match: 20 points
• Good fit (1-2 criteria off): 15 points
• Moderate fit: 10 points
• Poor fit: 5 points

Segment Priority (10 points max + ABM multipliers)

• Tier 1 named account: 10 points + 1.5x multiplier
• Tier 2 named account: 10 points + 1.25x multiplier
• Existing customer: 10 points + 1.3x multiplier
• Competitive user: 8 points + 1.2x multiplier
• General target account: 5 points

Step 3: Build Your Account Scoring Model in 6sense

6sense makes it possible to operationalize this framework directly at the account level:

1. Navigate to Segments > Create New Segment
2. Define your scoring criteria using 6sense’s segment builder
3. Layer in your firmographic filters (company size, industry, location)
4. Add engagement filters from your CRM and marketing automation data
5. Apply buying stage filters
6. Use 6sense’s “Qualified Accounts” feature to combine all criteria

Pro tip: Create separate segments for each scoring tier rather than one complex model. This makes ABM routing cleaner, play execution easier, and performance measurement more accurate by tier.

Step 4: Map 6sense Fields to Marketo and Salesforce

For ABM to work, account scores must be visible where teams actually operate. Proper field mapping ensures your scoring data flows seamlessly through your tech stack and is accessible where your teams need it so:

• SDRs can prioritize accounts in their workflows
• Marketing can trigger ABM plays and nurtures
• Sales leadership can report on pipeline by account tier

For detailed technical guidance on profile and field mapping, refer to 6sense’s mapping documentation.

Essential 6sense Fields to Map to Marketo

At minimum, map these account-level fields from 6sense to Marketo:

Core Scoring Fields:

• 6sense Account Stage (text field capturing: Target, Awareness, Consideration, Decision, Purchase)
• 6sense Profile Score (number field, typically 0-100)
• 6sense Account Reach (text field: Low, Medium, High)
• 6sense Buying Stage Date (date field for tracking stage changes)

Segment and Intent Fields:

• 6sense Segment (text field for your custom segments: Hot, Warm, Developing, Cool)
• 6sense Intent Keywords (text field capturing top researched keywords)
• 6sense Campaign Name (text field if using 6sense campaigns)
• 6sense Predicted Date (date field showing predicted purchase timeframe)

Engagement Metrics:

• 6sense Page Views (number field)
• 6sense Minutes Engaged (number field)
• 6sense Employees Engaged (number field for buying committee size)

Salesforce Field Permissions and Sync

When syncing these fields from Marketo to Salesforce, configure proper permissions to ensure data integrity:

Recommended Salesforce Field Setup:

1. Create Account-Level Custom Fields in Salesforce for all 6sense data (these are account attributes, not contact/lead fields)
2. Set Field-Level Security:
   • Read access: All users (Sales, Marketing, Ops)
   • Edit access: Marketing Operations and System Administrators only
   • This prevents sales reps from manually overwriting AI-generated scores
3. Marketo Sync User Permissions: Your Marketo sync user needs:
   • Read/Write access to all 6sense custom fields
   • “View All” and “Modify All” on Account object (or specific sharing rules)
   • Ability to update account records regardless of ownership
4. Create a Custom Permission Set (recommended):
   • Name: “6sense Data Management”
   • Grant Edit access to all 6sense fields
   • Assign only to: Marketo sync user, Marketing Ops, RevOps, Sales Ops admins
5. Field Mapping in Marketo Admin:
   • Map 6sense Account fields to Salesforce Account fields (not Lead/Contact)
   • Enable bidirectional sync for score fields
   • Set sync direction to “Marketo wins” for calculated scores to prevent Salesforce overwrite

Critical Setup Note: Because 6sense data is account-level but Marketo operates primarily at the lead/contact level, you’ll need to either:

• Use Marketo’s Account-Based Marketing module to properly handle account fields
• Integrate 6sense to Salesforce directly (recommended)

Common Use Cases for Account Scoring for ABM

In Salesforce:

1. Account Views and List Views:
   • Create custom list views filtered by 6sense Segment (e.g., “Hot Accounts – Decision Stage”)
   • Add 6sense fields to account page layouts for at-a-glance visibility
   • Build dashboards showing account distribution by stage and segment
2. Account-Based Routing:
   • Use Process Builder or Flow to auto-assign high-scoring accounts to senior AEs
   • Route “Hot” accounts entering Decision/Purchase stage to inside sales for immediate outreach
   • Create tasks automatically when accounts move from Consideration to Decision stage
3. Sales Cadence Triggers:
   • Integrate with Outreach/SalesLoft to trigger specific sequences based on account score tier
   • Enroll contacts from Hot accounts in personalized outreach cadences
   • Alert account owners when their assigned accounts enter buying stages
4. Opportunity Scoring:
   • Create formula fields that combine 6sense Account Score with Opportunity stage
   • Build “likelihood to close” scores that factor in account buying stage
   • Prioritize pipeline review based on accounts showing intent signals

In Marketo:

1. Smart List Segmentation:
   • Build smart lists filtering by “6sense Segment = Hot” AND “Lead Status = MQL”
   • Create dynamic segments for nurture stream assignment based on account stage
   • Identify contacts at high-scoring accounts for priority follow-up
2. Triggered Email Campaigns:
   • Send alert emails to sales when accounts move to Decision/Purchase stage
   • Trigger personalized nurture campaigns based on 6sense Intent Keywords
   • Deploy account-specific content to contacts at accounts showing category intent
3. Lead Scoring Enhancement:
   • Add account score as a component in your lead scoring model
   • Give bonus points to leads from accounts in Decision/Purchase stage
   • Create compound scoring: Individual Lead Score + Account Score = Priority Score
4. Account-Based Campaigns:
   • Use 6sense segments to build targeted account lists for ABM campaigns
   • Create personalized landing pages and content for accounts by buying stage
   • Suppress outreach to accounts in early awareness to avoid premature engagement
5. Reporting and Attribution:
   • Track campaign performance by account segment (which campaigns move accounts through stages?)
   • Measure velocity: time from Awareness to Decision by marketing tactic
   • Build attribution reports showing which touchpoints influenced account stage progression

Step 6: Sync Scoring Data Across Your ABM Tech Stack

Sponge recommends creating direct integrations with both Salesforce AND Marketo to support coordinated ABM execution:

• Create custom fields for “6sense Score” and “6sense Segment”
• Set up automated workflows triggered by score changes
• Build dashboards showing score distribution and movement
• Create alerts for accounts that enter Hot tier

Step 7: Align Sales and Marketing on Score Definitions

This is where most ABM scoring models fail. Your carefully constructed algorithm means nothing if sales doesn’t trust it or understand how to act on it.

Don’t just build your model in a vacuum and spring it on sales. Hold alignment sessions where you:

• Show sales the data behind scoring criteria
• Review sample accounts at each tier and validate that the scoring makes sense
• Define clear SLAs for follow-up by score tier
• Establish feedback loops for sales to flag scoring issues

When sales sees that Hot accounts close at 4x the rate of Cool accounts, trust builds quickly. Until then, expect pushback.

>>Related: How to Create a Scrappy ABM Campaign Plan<<

Advanced Scoring Tactics for ABM

Time Decay and Velocity Tracking

Static scores don’t capture buying momentum. Enhance your model with:

• Recency weighting: Give 2x weight to engagement in the last 7 days
• Velocity scoring: Track week-over-week changes in buying stage and engagement
• Decay rules: Reduce scores by 10% weekly for accounts with no new activity

Keyword Intent Scoring

6sense provides keyword-level intent data showing what topics accounts are researching:

• Assign point values to different keyword categories
• High-intent keywords (e.g., “vendor comparison,” “pricing”): +15 points
• Medium-intent (feature-specific terms): +10 points
• General category terms: +5 points

Filter for keywords that indicate late-stage research and competitive awareness.

Buying Committee Insights

Use 6sense’s persona-level insights to score account readiness:

• Are multiple personas (IT, Finance, Exec) engaged? +20 points
• Is a known decision-maker active? +15 points
• Multiple departments showing intent? +10 points

Negative Scoring Indicators

Not all signals are positive. Subtract points for:

• Declining buying stage movement: -10 points
• Engagement with competitive content: -5 points
• Budget-focused research without product focus: -5 points
• Long periods of inactivity (60+ days): -15 points

Common ABM Scoring Pitfalls to Avoid

Over-weighting engagement: High activity from a terrible-fit account wastes sales time. In ABM, ICP fit should always be the gate, with engagement layered on top—not the other way around.

Ignoring buying stage regression: If an account moves from Decision back to Awareness, your score needs to reflect that—they may have chosen a competitor or put the project on hold.

Setting and forgetting: ABM scoring isn’t a one-time setup. Markets change, your product evolves, buyer behavior shifts. Review your scoring model quarterly and adjust based on closed-won patterns.

Not testing with historical data: Before rolling out your model, test it against 6-12 months of historical data. Do your highest-scoring accounts correlate with won deals? If not, go back to the drawing board.

Treating all industries equally: If you have significantly different sales cycles or deal sizes by industry, consider building industry-specific scoring models.

Measuring ABM Account Scoring Effectiveness

To validate that your Account Based Marketing scoring framework is working, track these metrics to validate your model is driving results:

• Conversion rates by score tier: Are Hot accounts converting at 3-5x the rate of Warm accounts?
• Sales velocity: How does deal cycle time differ by initial score?
• Score-to-close correlation: What percentage of closed-won deals were high-scoring?
• False positive rate: How often do Hot accounts fail to convert?
• Sales adoption: Are reps actually working scored ABM accounts, or ignoring them?

In Summary

As with traditional lead scoring, the key to success with ABM-focused account scoring is to start simple and evolve over time.

Once your foundational model is running, prove its value by tracking account-level conversion rates and sales velocity by score tier. Use these results to justify adding complexity—whether that’s keyword intent weighting, buying committee insights, or time decay rules that reflect shifting account priorities.

The most successful account scoring models aren’t the most sophisticated; they’re the ones that sales actually uses to prioritize which accounts to engage next. Keep it simple, measure what matters, and iterate based on what drives pipeline and revenue at the account level.

FAQs

Should I use account scoring or lead scoring?

It depends—but in an ABM strategy, both are essential. Account scoring helps you identify which target companies to prioritize, while lead scoring tells you which contacts within those accounts are most sales-ready. Using them together ensures your team focuses on high-value accounts and engages the right stakeholders within those accounts first.

How long does it take to see results from an account scoring model?

Directional results typically appear in 30–60 days, but in ABM, you should give your model at least a full quarter to validate its effectiveness across target accounts.

• Month 1: Track sales adoption and feedback—are reps engaging the right accounts?
• Month 2: Look for patterns in account-level conversion rates by score tier.
• Month 3: Measure pipeline quality, sales velocity, and ROI at the account level.

How can I convince my sales team account scoring is useful?

Most pushback comes from poor alignment during model creation. In ABM, involve sales early and often:

• Show them real accounts at each score tier.
• Validate that the scoring makes sense against actual target accounts.
• Define clear follow-up SLAs by score tier.
• Start with a pilot group before rolling out company-wide.

How often should I evolve my scoring model over time?

In ABM Account Scoring, review your scoring model quarterly and adjust only when the data supports it. Focus on how score tiers align with actual account-level conversion rates, how different segments or verticals are performing, and whether new intent signals are emerging across your target accounts. The goal is continuous improvement so your scoring stays aligned with evolving buyer behavior and ABM priorities.

Can I use 6sense account scoring if I don’t have Marketo?

Yes. While this guide highlights Marketo, 6sense also integrates with platforms like HubSpot, Pardot, and Eloqua. The core ABM principles remain the same: map account-level data to your CRM, segment accounts by buying stage and fit, and sync those segments to your MAP. The platform and field names might differ, but the framework—buying stage, engagement, fit, and segment priority—works across any tech stack.