Signals FAQ
What are Signals?
Signals are patterns of behavior and intent that PropFuel's Membership AI detects in your data. As contacts interact with your campaigns, PropFuel identifies who shares similar behaviors, like showing positive intent to renew or disengaging after onboarding.
Each pattern is a Signal, and the contacts who match it are surfaced automatically. Once you activate a signal, PropFuel looks back at existing interactions and continues monitoring going forward so you're not manually combing through responses or setting up alerts. The patterns come to you.
What data is used to determine Signals?
Signals are generated from two primary sources: campaign data and organization data. On the campaign side, this includes check-in activity and responses activity and campaign-level performance metrics. On the organization side, it includes org-wide engagement trends, organization information, membership details, and strategic goals. All of this is analyzed at the aggregate level – no individual contact information is used.
How do I know which Signals to track?
Membership AI reviews your campaign and organization data to recommend the Signals most relevant to your campaigns and goals. From there, your team reviews those recommendations and selects the ones that matter most to you. Once you've selected the Signals to track, they update automatically as new activity comes in. You can act on them directly by building a segment or launching a campaign.
How does Membership AI decide what Signals are High, Medium, or Low?
The scoring reflects how well a potential signal aligns with your campaign's structure and goal, and your org's goals as defined in your Org Profile. A High signal means Membership AI determined this pattern is strongly relevant to what your campaign is designed to accomplish and what your org has told the system it cares about. Medium means there's relevance, but it's a less direct fit. Low means it's plausible given your setup, but not a close match to your stated goals.
Membership AI is asking "given what this campaign is trying to do and what this org is trying to accomplish, how much does tracking this signal serve those goals?"
What if I don't agree with how a signal is scored?
You don't have to. The scoring is a starting point for prioritization, not a directive. You choose what to track. If a Medium-scored signal is more relevant to what you're working on right now than a High-scored one, track the Medium one. The score doesn't lock anything in.
The scoring is only as good as the context the system has. If your campaign goal is vague, or your Org Profile is sparse, the recommendations will reflect that. The more complete and accurate your campaign context and Org Profile are, the more the scoring will reflect what actually matters to your org. That context lives with you. The AI is reading what you've given it.
What if none of the suggested signals feel relevant to my org?
This is the first place to look: your Membership AI tab and your Org Profile. Signal recommendations are generated directly from your campaign's structure and goal, and your org's goals as defined in the Org Profile. If the suggestions feel off, it's likely that one or both of those inputs needs to be fleshed out or corrected. Updating your campaign description, campaign goal, or Org Profile fields will directly improve the relevance of what gets recommended. If you've done that and the suggestions still feel off, flag it to your CSM.
Why should I trust Membership AI's judgment on this?
You don't have to trust it blindly – and you shouldn't. The right frame is: the AI surfaces, you decide. Signals is doing the relevance-matching work against your stated goals so you don't have to evaluate every possible pattern from scratch. Whether a suggested signal is actually worth tracking is always your call. Think of the scoring as a first filter informed by your own goals, not an outside opinion about what matters. You bring the membership knowledge; Signals reads your goals and campaign structure to surface where to start.