Sales Conversation Evidence
Instagram, Facebook, WhatsApp, and similar social conversations become reviewable evidence for where paid and organic leads stall.
Reploom reviews paid and organic messages, comments, and mentions to show owners and managers which leads were missed, where conversations stalled, and what the team should fix next.
Reploom is being shaped around Sales QA for paid and organic social conversations: classifying buying intent, checking handling quality, surfacing urgent opportunities, and reporting repeated lost-lead patterns.
Instagram, Facebook, WhatsApp, and similar social conversations become reviewable evidence for where paid and organic leads stall.
Reploom identifies pricing, booking, availability, delivery, trust, and other buying signals that should not be treated like ordinary messages.
High-intent conversations that are still waiting, answered too late, or missing a stronger next step are surfaced for action.
Managers see buyer counts, high-intent threads, stalled moments, repeated objections, and the source conversations behind every finding.
Each report points to a practical improvement, such as rewriting price responses, adding follow-up rules, or changing coverage hours.
Reploom turns paid and organic messages, comments, and mentions into a Sales QA review: which buyers had intent, where they stalled, and what should change before the next lead disappears.
Link the social channels where buyers ask questions. WhatsApp monitoring starts after connection; history depends on available message data.

Reploom separates low-intent noise from buyers asking about pricing, booking, availability, delivery, trust, and other buying signals.

Each valuable lead is reviewed for reply speed, answer quality, follow-up, unanswered objections, and whether the team offered a clear next step.

The report groups recurring failures that quietly lose leads: after-hours cooldown, pricing stalls, no follow-up, and no next action.

Every report includes source conversations and one practical fix, so the next lead has a better chance to convert.

Future work is focused on making Sales QA more accurate, more explainable, and easier for managers to operationalize.
Deeper lost-lead pattern detection across pricing, booking, trust, and follow-up conversations
Manager-ready weekly report exports and client-facing agency summaries
Role-based review workflows for teams with multiple admins or salespeople
Channel setup guidance that clearly separates live monitoring from historical backfill
Sales QA uses sensitive customer conversations, so Reploom is built around secure access, transparent analysis, and human control.
Reploom does not claim to replace salespeople. It reviews conversations and helps managers improve the process.
We use official platform access where available and limit permissions to what is necessary for conversation review.
Your customer conversations are handled as private business data. They are not sold or used for model training without consent.
Every important Sales QA finding should be explainable and connected to the source conversation behind it.
Start with a Sales QA pilot and turn real Instagram, WhatsApp, and Facebook conversations into evidence-backed process fixes.
Pilot fit depends on conversation volume and channel access