This model is built-in to enable real-time engagement automation by using scores set by marketers to estimate/predict customer behavior. These predictions can help trigger personalized engagements. Click here to read more on how behavior scoring works.
Built over the unified customer stack, Plumb5 offers recommendation widget, which can recommend products to the browsing visitor, based on both individual and global parameters. This allows the marketer to recommend either based on context of the current session, or based on past data. To know more on enabling recommendations in real time, read here.
Marketing attribution provides a level of understanding of what combination of events influence individuals to engage in a desired behavior, typically referred to as a conversion. With Plumb5, you can set scores for behavior parameters like page depth, page type, event type, time spend, frequency. This allows you to assign values for sessions that involve deeper interactions which could be influencing the purchase decision. Click here to read more about why the probabilistic attribution model on Plumb5 fares better than other fractional and single source models.
The most important aspect of Unified Stack is that data tagging starts at the customer touch-point and extends across all other touch-points by maintaining a unified document for every customer, irrespective of the touch-point. Click on to see the advantages of the unified stack.
Plumb5 platform comes with a built-in user tagging feature that is tagged across web, email, social, mobile and SMS. The single customer view can be extended by integrating to other sources like CRM, ECommerce Platforms, Call Center data and POS systems. Unified tracking across all customer touch-points help us in maintaining insights in real-time, based on single customer data. This enables the user to configure rules and trigger targeting and personalization in real-time
The Automation bots are a set of automated triggers, where each trigger performs a specific function and the responses of the previous trigger cascades to the next trigger, based on rules or learning, to pursue a specific goal path. The bots can be customized to work on a specific conversion path. Click here to read more on machine driven marketing automation
To analyze successful conversion flows or goal paths, Plumb5 offers an inbuilt visitor flow analysis which can help you understand visitor’s journey all the way till conversion. It uses a pattern detection module to draw out flow patterns (interaction patterns) of a single user.
Read more on Visitor flow analysis
The platform comes with an inbuilt language parser to extract sentiment out of text and voice conversations. The proprietary model for sentiment extraction is built with rules to analyze stance shifting and depth of sentiment, which helps in achieving greater accuracy in measuring the depth of a conversation
Plumb5 profile and behavior tags can be used in conversation or personalization of messages, which can be used in customer engagement automation. Plumb5 can be readily integrated with a third party bot program built using Eliza bot framework or AIML. To read up on a use case on how its done, click here