A consultant configures Sales Accelerator for a team that relies on predictive lead scoring to order the work queue. Several leads were captured last week through a trade-show badge scan and have not yet accumulated enough activity for the model to produce a score. Sellers ask why these leads still appear near the top of some queues instead of at the bottom. What is the most likely explanation?
Select an answer to reveal the explanation.
Short Explanation
Think of the work queue as trying to rank leads by promise, but it can't score a brand-new trade-show lead until there's enough activity. When that happens, it falls back to something it already knows, like creation date or sequence step, so the lead still gets worked in a sensible order instead of being buried.
Full Explanation
The most likely explanation is that the sales accelerator work queue does not rely solely on predictive score to determine order; when a lead has not yet accumulated enough activity data for the model to generate a score, the queue falls back to another sort criterion, such as when the lead was created or where it sits in its assigned sequence, so newly captured leads like the trade-show scans are not simply buried at the bottom while still being handled in a sensible order. The claim that predictive lead scoring automatically assigns unscored leads the maximum possible score is incorrect because a lead without sufficient data simply has no score yet rather than an inflated one. The claim that trade-show leads are exempt from predictive scoring and are always pinned to the top of every queue regardless of sort order is incorrect because there is no channel-based exemption that pins trade-show leads to the top of every queue; scoring and queue position are driven by data and configuration, not by lead source. The claim that the work queue ignores predictive score entirely and instead orders leads solely by sequence step number is incorrect because the work queue does incorporate predictive score for leads that have one; it does not ignore scoring altogether and sort purely by sequence step, which would defeat the purpose of enabling predictive scoring in the first place.