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Prevent
Segment
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Enrich
Instant Book
Score
DataExchange
Lead-to-Account Matching
RingLead Score
Easily create score models and audience segments
in a flexible drag and drop interface.
- Use multiple types of scoring models to score any object using any attribute.
- Aggregate first and third party scoring mechanisms into co-dynamic scores.
- Create Account-Based scores based on behaviour, fit, and intent.
- Operationalize 3rd party intent signals with intent-based score models.
- All-in-one codeless platform to enrich, orchestrate, score, route your Salesforce & Marketing Automation data.
"We Quickly Added 2 Million in Pipeline with RingLead Scoring"
"We finally have an easy way to create complex Account
scoring models with simple rules.
We now have an understanding of our Total Addressable
Market and can prioritize Accounts based on our Ideal
Account Profile and their propensity to buy."
Austen Adair
VP, Sales Enablement at Watermark - Increase conversion rates by prioritizing high-quality leads for Sales
- Identify new targets and whitespaces in your Total Addressable Market
- Eliminate the guesswork out of ABM targeting
- Slash customer acquisition costs and extend lifetime values
- Engage with companies before they start the buying process with a competitor with intent scoring.
| Scoring Output (Example) | RingLead Score Model |
|---|---|
| Fit (Demographic Score) Create a score that depicts how well a Company fits your Ideal Customer Profile based on firmograhic, demographic, & geographic attributes. Easily assign relative scores to each data element and weigh attributes within those data elements. | Attribute |
| Enagement Configure an activity-based score that accounts for ALL of the people related to an Account (and parent/child companies). Baked-in Lead to Account matching & deduplication ensures that all of your activity-based person or company scores are accurate. | Roll Up |
| Intent Orchestrate hundreds of 3rd party intent data points into clusters. Easily weigh keywords or groups of keywords into cluster scores or sub-cluster scores. | Attribute |
| Propensity To Buy Aggregate multiple score values into a single score. Easily customize the relative weight of each score model. For example, combine Fit & Engagement into a single Account score. | Aggregate |
| Account Tier Create co-dynamic scores with multiple interlocked dimensions around fit, engagement, and intent. This score provides an accurate view for whether or not a prospect is ready to buy your product | Multi-Dimensional |
Already using an "AI" or out of the box CRM or Marketing Automation Scoring Models?
Enhance your existing scoring tools with RingLead scoring models and 3rd party data integrations.
Data Orchestration vs AI
RingLead Scoring provides transparent and easily adjustable scoring models.
Data Orchestration vs Out of the Box CRM & Marketing Automation
RingLead provides multiple scoring models for scoring any object, intent, fit, or engagement.
Score Model: Multi-Dimensional
Use this "punnet-square" like score model to create numeric or non-numeric scores providing a more illuminating score/rating value. This model is also often used to streamline segmentation. (i.e combine account region and account size into a single field).
Example: Account Tier
Creates a dynamic Account rating combining first and third-party intent signals to show when account intent is spiking.
Score Model: Attribute
A flexible and intuitive user interface makes it easy to create score outputs based on any group of data elements about a person or company.
Prioritize the value of certain elements over others by assigning relative scores to each data element and attributes within those data elements.
Example: Fit Score
A flexible and intuitive user interface makes it easy to create score outputs based on any group of data elements about a person or company.
Prioritize the value of certain elements over others by assigning relative scores to each data element and attributes within those data elements.
Score Model: Roll Up
Use the Roll-Up score model to roll up data from any parent/child object into a comprehensive activity-based score. Easily assign relative "Weight Factors" to prioritize how each object fits into the Roll-Up score.
Example: Engagement Score
In this example, we created an Engagement Score according to the average of the Lead & Contact scores, where we placed more weight on the Contact score.
Score Model: Intent Score (Product Specific)
Orchestrate hundreds of 3rd party intent data points into clusters. Easily weight keywords or groups of keywords into cluster scores or sub-cluster scores. In this example, we use the roll up model to generate an intent Score of our Route product.
Example: Attribute
A flexible and intuitive user interface makes it easy to create score outputs based on any group of data elements about a person or company.
Prioritize the value of certain elements over others by assigning relative scores to each data element and attributes within those data elements.
Score Model: Aggregate
Aggregate multiple score values into a single score. Easily customize the relative weight of each score model.
Example: Propensity Score
In this example, we added the Engagement and Fit Score calculated in the previous examples into a total propensity score. We also placed more weight on the engagement score.
RingLead Named Fall under 2020:
- G2 Crowd Leader
- Most Implementable
- Highest User Adoption
- High Performer - Enterprise
- Best Usability
I would need 5 different softwares to accomplish what I can in the RingLead Platform.
Very Sophisticated. I was able to remove over 400,000 duplicates in less than a day.
RingLead Routing improved conversations rates on high priority MQLs by over 50%
RingLead's multi-vendor enrichment tool & segmentation allowed us to identify our ideal customer profiles.
