Signals
What is a Signal?
A Signal is a measurable event or behavior observed in your data that provides meaningful insights into and influences your customer pipeline.
Identifying Signals is crucial because they may indicate when a customer is ready to engage further, make a purchase, upgrade, downgrade, or potentially churn. By leveraging Signals, you can optimize your performance, your spending, and revenue.
Defining Signals
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Signals can be set up and managed in the Audience Hub > Signals UI. This interface allows you to:
- Create and view all active Signals
- Monitor how frequently each signal is triggered
- Define whether a Signal should contribute to the Engagement Score
- See a list of AI-identified signals
Use the Signals UI to manage, monitor and discover new signals that are influencing your pipeline.
AI-Identified Signal Discovery
Identifying which engagements and events have a strong impact on your pipeline is a complex challenge. AI helps by automatically identifying signals that influence your performance and revenue, often uncovering key factors and signals that have been overlooked whos impact is surprising.
Activate Signals
It is a good idea to monitor and activate AI-identified signals, because these signals have already proven to influence your pipeline.
Activating a signal is very easy. Select Activate,
AI-Identified Signal Impact Levels
AI-identified Signals are categorized into three impact levels:
- Strong: High influence on pipeline performance and revenue.
- Significant: The influence is not high enough to be classified as strong but is still very impactful on your pipeline.
- Moderate: The AI has detected that the influence of these events is clearly above average.
Important:
You can fine-tune the AI engine's focus by adjusting the signal timing. For example, selecting Earlier increases the weight of signals typically found in the early stages of your pipeline when evaluating their impact.
Archiving AI Signals and Feedback
AI signals are generated by Dreamdata’s AI engine. However, the engine may sometimes identify signals that you don’t want to activate or ones you’ve already activated manually. Additionally, a domain expert might determine that two AI signals are part of the same process, making it unnecessary to activate both. In such cases, you can choose to archive a signal.
Feedback: Providing feedback when archiving a signal helps AI refine recommendations relevant to your pipeline.
