Playbook for combining intent signals, and glossary
Playbook for combining intent signals
Use the table and matrix below to understand how to engage companies demonstrating various combinations of intent within B2B Intent.
Click on any of the three intent signals in the table header to learn more about how they are calculated.
Glossary: intent signals overview
B2B Intent provides three main intent signals for all company records: Purchase Intent, Engagement, and Product Awareness. In general:
- Engagement: the amount of time a company prospect has been in your subscribed categories.
- Product Awareness: the amount of time a company prospect has been on your specific product page, or comparing your product.
- Purchase Intent: likelihood that a company prospect wants your product, using a classification model based on historical conversions data.
B2B Intent signals can be one of many pick list values, such as "High" ,"Medium", and "Low". On a daily basis these intent signals are updated, and can go higher or lower based on the intent analyzed from the user traffic.
Engagement signal
The engagement score identifies how active an identifiable company has been on relevant pages across Gartner Digital Markets’ sites.
Relevant pages include:
Category pages where your product is listed
Product profile pages of products listed in your categories
Comparison pages where products listed in your categories are being compared
Content pages where products listed in your categories are referenced
Activity considers several factors including:
Number of relevant sessions
Number of relevant pageviews
Engagement within the above (e.g. time on site, any interactions the company undertook in those sessions, etc.)
There is varying trailing time periods for each of these indicators. The higher the Engagement signal, the more recent the trailing time period considered.
Product Awareness signal
The product awareness score indicates how familiar the identifiable company is with your product.
Impressions we consider:
Has the company visited your category?
Has the company visited your product profile?
Has the company compared you in our comparison tool?
Has the company clicked-out (PPC) and/or been qualified (PPL) for you?
Activity considers several factors including:
Number of impressions
Combinations of impressions
How recent impressions are
Compared to Engagement, there are longer trailing time periods to inform our Product Awareness classification.
Purchase Intent signal
The purchase intent score calculates the probability that a company prospect found on Gartner Digital Markets sites will convert to a lead for your product.
This scoring model takes into account historical data on various company prospects clicking on pay-per-click (PPC) product listings, and then completing the follow-up forms.
Purchase Intent also takes into account historical data on company prospects becoming qualified leads through our pay-per-lead (PPL) program.
Model considerations:
On-site activities
Sessions, pageviews, impressions, clicks
Activity time frame
This calculation is specific to the categories your product is listed in across Gartner Digital Markets sites.
Background on intent signals
B2B Intent generates a list of the most recent company records showing intent for your product listing, as well as intent signals for each of those company records.
This list is based on company user traffic on Gartner Digital Markets sites (Capterra, GetApp, and Software Advice),
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