3. Account Scoring

Account Scoring Model

This model assigns scores to various actions taken by target accounts, helping you prioritize high-engagement accounts effectively.

Benefits of the Scoring Model:

  • Provides a clear, quantitative measure of engagement.
  • Ensures recent activity is weighted higher, focusing efforts on active accounts.
  • Helps align sales and marketing teams by identifying high-value accounts.

Use Cases in Recotap:

Prioritizing Accounts:
  • Identify highly engaged accounts (based on clicks, conversions, impressions, intent signals) and focus marketing efforts on these targets.
Optimizing Campaigns:
  • Adjust campaigns based on engagement trends.
Measuring ROI:
  • Use scores to assess the effectiveness of advertising campaigns in driving account engagement.
Customizable Weighting
  • Teams can assign higher weight to more critical signals (e.g., sales calls might carry more weight than ad clicks).
Decay
  • Forget traditional lead scoring method, instead use decay to keep the account score fresh & relevant over time.
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Key Attributes in the Scoring Model:

  • Increment: Defines the points added to the account score for each activity.
  • Maximum Cap: The upper limit of points that can be assigned for a specific activity.
  • Decay: Represents the time duration after which the points start reducing to give more weightage to the fresh engagement.
For eg. If No. of days=1000, then 0.001 score will be decreased per day.
  • Score: Indicates the value based on views, intent topics matched, or the number of qualifying activities according to the rules set for each intent signal.

Overall Account Scoring Calculation

  • The final score is determined by the sum of individual intent scores multiplied by their respective weights.
  • Customizable Weighting – Teams can assign higher weight to more critical signals (e.g., sales calls might carry more weight than ad clicks).
  • The Overall Score is a combination of different intent signals, each assigned a weight based on importance.
  • Each intent signal can be toggled ON/OFF – Allowing customization of the scoring model.
  • Weights can be adjusted – Users can increase or decrease the importance of each intent signal.
  • For instance, if each of the intent signals weighs 1  – Meaning all intent signals contribute equally.
🔹 Formula for Overall Score:
  • Overall Score = Weight *(Advertising Activity)+Weight *(Website Intent)+Weight *(G2 Intent)+Weight *(Bombora Intent)+Weight*(Sales Activity)

Intent Signals Included in the Overall Score:

  1. Advertising Activity – Engagement from paid ads.
  1. Website Intent – Behavior on the company’s website (where Recotap tracking code is being added)
  1. G2 Intent – Buyer intent signals from G2 reviews, comparisons, and category views.
  1. Bombora Intent – Market-wide research intent (accounts researching relevant topics on external platforms).
  1. Sales Activity – Engagement with sales teams (e.g., sales calls, email clicks).
 
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Advertising Activity Scoring Breakdown:

💡
Each activity scoring can be edited and customized as per one’s own ABM strategy.
  1. Click:
      • Description: Each ad click by a target account adds 1 point to the account score if no increment value is set.
      • Increment: Recotap’s default value is fixed at 5 points per click.
      • Maximum Cap: Not applicable.
      • Decay: Default value is 30 days.
  1. Conversion:
      • Description: Each conversion event (e.g., form submission or specific engagement) adds 1 point to the account score, if no increment value is set.
      • Increment: Each conversion contributes 10 points by default in Recotap.
      • Maximum Cap: Not applicable.
      • Decay: Default value is 30 days.
  1. Impression:
      • Description: For every ad impression (view), the account score increases by 1 point, if increment value isn’t set.
      • Increment: Default value is set at 1 point per impression.
      • Maximum Cap: Capped at 5 points per account.
      • Decay: Points decay after 7 days by default.

G2 Intent Scoring Breakdown:

💡
Each activity scoring can be edited and customized as per one’s own ABM strategy.
Each account is assigned a score based on the type of engagement they have shown on G2. Different intent activities can be weighted differently to reflect purchase intent intensity.
Source
Scores
What Does It Mean?
Category Page Visits
Score assigned are calculated per views
Account visited a G2 category page (low intent).
Compared with Competitor
You can mention competitors names & assign a score that is to be calculated per views
The account compared your product with a competitor (medium intent).
Search for Alternatives
Score assigned are calculated per views
Account searched for competing products (medium intent).
Profile Page Visit
Score assigned are calculated per views
Account visited your G2 product profile (high intent).
Pricing Page Visit
Score assigned are calculated per views
Account viewed pricing information, indicating strong buying intent.

Website Intent Scoring Breakdown:

💡
Each activity scoring can be edited and customized as per one’s own ABM strategy.
Website activity is scored based on specific rules that define the importance of different pages. The higher the score, the stronger the intent from the visitor.
  1. Page-Based Scoring – Different pages can be assigned different scores depending on their importance.
  1. Decay Mechanism – Intent scores reduce over time if no further engagement happens (e.g., scores decay after 30 days).
  1. Customization – Users can add rules and define what web pages count as intent signals.

Steps to add a rule:

  1. Select Web Page Condition: Choose "Contains" or "Equals".
  1. Enter URL Keyword: Example: If the URL contains “pricing,” it signals strong intent.
  1. Assign Score: Increase or decrease score based on importance.
  1. Set Decay: Define how long the score should remain before it reduces (e.g., 30 days).
💡Scores will be calculated from the top & are based on views. Therefore, rearrange the activities based on your priority.
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Sales Activity Scoring Breakdown:

💡
Each activity scoring can be edited and customized as per one’s own ABM strategy.
Each sales-related activity is assigned a score based on its level of intent. The higher the score, the stronger the sales engagement. Additionally, a decay period is applied, meaning that if no further activity occurs within a set timeframe, the score starts reducing.
Activity
Scores
What Does It Means?
Sales Call (>1 minute)
You can edit the conditions or add more & assign scores as per importance
A meaningful conversation happened, indicating strong interest.
Sales Call (<1 minute)
Same as above
A brief call, likely low engagement or rejection.
Sales Call (=1 minute)
Same as above
Could be an okay conversation, likely medium intent
Opened Email
Scores will be calculated based on the no. of activities that match the defined rule conditions
The prospect opened an email but didn’t engage further.
Clicked Link in Email
Scores will be calculated based on the no. of activities that match the defined rule conditions
The prospect engaged with an email but hasn’t taken further action.
 
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Bombora Intent Scoring Breakdown:

💡
Each activity scoring can be edited and customized as per one’s own ABM strategy.
  • The Bombora Intent Scoring Model in Recotap assigns scores based on intent signals captured from Bombora. You will see a list of groups/topics that you have set here. You can assign scores against them.
  • Users can edit Bombora rules by adding new intent topics or adjusting scores based on relevance.
  • Scores will be calculated based on the number of Bombora Intent Topics that the accounts match
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How to Edit the Account Scoring Model?

  • Click the three-dot menu (⋮) against each activity to edit the scores.
  • Adjust the values for Increment, Maximum Level, Scores or Decay as per your scoring needs.
  • Use the toggles to enable or disable limits (e.g., Maximum Level or Decay).
  • Click Update to save changes.

Determine Account Engagement aligning to the scores:

Engagement scores can be categorized into three levels based on their percentiles:
  • Hot: Accounts in the top 80th to 100th percentiles (highest engagement).
  • Warm: Accounts in the 60th to 80th percentiles.
  • Cold: Accounts in the bottom 0th to 60th percentiles.
This categorization helps prioritize accounts for action.
Formula for Calculating Percentiles
The percentile for a score can be calculated using the following formula:
` P=(S−Min / Max−Min)×100
Where:
  • P = Percentile
  • S= The individual score
  • Min = Minimum score in the range
  • Max = Maximum score in the range