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 its best to rank leads by how promising they are, but it can only score a lead once there is enough activity behind it to learn from. A lead scanned at a trade show yesterday hasn't had time to generate that activity, so there's nothing for the model to grade yet. Rather than shoving it to the bottom and hoping someone remembers it later, the queue leans on something else it already knows, like when the lead came in or where it sits in its outreach sequence, so it still gets worked in a reasonable order. It's not that the system is cheating the score upward, exempting certain lead sources, or throwing scoring out the window; it just needs a fallback for the gap before real data exists.
Full Explanation
The correct answer is A. Sales Accelerator's 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. Option B is incorrect because predictive scoring never auto-assigns an unscored lead the maximum score; a lead without sufficient data simply has no score yet rather than an inflated one. Option C 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. Option D 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.