What is Path Analytics?
Path Analytics provides a unified view of the role of content in the buyer’s journey and the impact it is having on your business across the three key dimensions of visitors, accounts, and content.
Whereas the Target, Recommend and Explore track analytics provide a great deal of descriptive detail on what has happened with specific visitor journeys at the track level, Path Analytics seeks to provide a new level of insight across all of your marketing that helps you identify what is and is not working.
By highlighting things like trending topics, performant channels, underperforming assets, account penetration, when and where conversions are happening, and showing your content’s influence on pipeline and revenue, Path Analytics arms you with the data you need to make informed investment decisions on content, tactics, and campaigns.
What Key Metrics do we capture in Path Analytics?
In addition to standard content engagement data that we capture across key dimensions like visitor, account, and content, there are some calculated metrics unique to Path Analytics that are presented to marketers in to order to provide them with new insights, highlight areas of interest, and provide a data-driven view of what is and is not moving the needle with your marketing. Some examples of these include our Engaged Intent score, Cost per Minute of Engagement, Content ROI, and Content Influence on pipeline and revenue
What is Engaged Intent?
Engaged Intent is the cumulative engagement score for a visitor or account, based on the engagement time thresholds you set for a content asset in the Content Library. A higher Engaged Intent score in a period for a visitor or account shows their real depth of engagement as measured in significant time spent with your content. Much like a lead score is used as a proxy for the qualification of a lead across many criteria, Engaged Intent is a proxy for depth of interest in your content and its related topics.
What criteria affect the size of bubbles in the bubble charts?
Typically when you are looking at any bubble chart and hover over a bubble, you will see at least three main figures related to that specific bubble. Two of those figures are the x-axis and y-axis and the third one is the Bubble size criteria.
What will happen to my existing track analytics?
Will the data from Path Analytics be sent to my MAP?
The data shown in Path Analytics is derived from the same detailed visitor session data that we capture when your prospects and customers interact with your content. There is no impact on the rich dataset that we can set to the MAP today, but we are currently not sending any aggregated or calculated metrics in Path Analytics such as Content ROI or Top Topics at an account to the MAP.
Does Path Analytics respect the visitor exclusions that I have set up?
Yes, any visitor who is excluded from analytics due to the exclusion rules that have been set won’t show on Path Analytics.
Why is there a known visitor from a different account showing under a specific account page?
As of April 16th, 2020, all Account Identification within PathFactory is provided by 6sense by default, so the accuracy of a match from a visitor to an account is dependent on upon what they provide back to us. An accurate match rate can vary based on geography, the size of the account, and whether a visitor happens to be on a different company’s network. Occasionally 6sense may mis-attribute a company name.
We also support integrations with Demandbase for customers with eligible Demandbase licensing. Contact your CSM to learn more.
What does a Bounce Session mean on a specific Visitors page?
In some visitors pages in Path Analytics, you may see sessions with a Total Time of “Bounce”. This can happen when a visitor starts viewing your content online (starts a session), spends some time on it, and then leaves the web page in their browser without closing the tab. While PathFactory will recognize the idle time and stop tracking that session, if the visitor then quickly passes through the tab again or clicks on the tab in order to close it we record that brief interaction as a ‘bounce’ since there is no true engagement except for a strong signal that the visitor has left the site altogether.
We believe this information may be useful in the future to understand engagement patterns so we have chosen to retain it. You may filter the bounces out of your view in order to focus on sessions with real engagement.
How we can filter the data based on time?
In Path Analytics we are using aggregate data from the latest day. As a result, there is a filter to show you the last 7, 30, 60, and 365 days of aggregate data in most of the Path Analytics reports. Simply click on dropdown on the top right of the page and change the filter to see a different timeframe. By default, we are showing the last 30 days data. More flexibility around time ranges is planned for future releases.
How is Opportunity Influence calculated?
Opportunity Influence gives you insight into the relative performance of your content assets, based on their impact on revenue and pipeline. This is a measure of how content was involved in, and influential to, engagement across target accounts—not to be confused with attribution.
It is calculated as the sum total of all opportunities tied to accounts which have engaged with your content.
There are two places in Path Analytics where you’ll find Opportunity Influence:
It is important to note that these are Influence models, not Attribution models.
Content Opportunity Influence reflects all open or closed-won opportunities which the content influenced, not which the content was directly responsible for.
|Reminder: These pages will only be populated if you have set up the CRM Sync for Path Analytics. This feature is currently in Controlled Availability; contact support or your CSM for more information.|
Why do I see Email or Internet Service Providers like Google and Yahoo show up as a Top Account?
In PathFactory, a known visitor’s linked account is determined based on the visitor’s email domain first. PathFactory passes this domain to our IP address intelligence provider to see if it can identify the visitor based on the email domain. If the provider can’t identify it as a non-internet service provider account, the account name associated with the IP address is used to determine the visitors linked account name. As a result, you may see Google as a top account if the domain is associated with Google.
Why do some visitors have a different email domain than what is shown for their linked account?
This can be caused by a few reasons:
- For known visitors, a visitor account is determined based on the visitor’s email domain first. PathFactory passes this domain to our IP address intelligence provider to see if it can identify the visitor based on the email domain. If the provider can’t identify it as a non-isp account, the account name associated with the IP address is used to determine the visitors linked account name.
- In PathFactory, the latest identity for a visitor is always displayed. Visitor identities may change over time (through de-anonymization, or because they de-anonymize as different people). As a result, if you are looking at a visit in the past, it’s possible to have an account name (that’s stamped at a visit level) to be different from the latest de-anoned email.
Why do I see the same visitor in multiple accounts?
If you see the same visitor appear in multiple accounts at the account level, this is because at the time of the visit it was determined they were linked to that account. However, at the visitor level, the account that is shown will always be the latest account that we have seen for them.