Google Play and Apple App Store reviews coverage
Stay on top of app reviews from Google Play and the Apple App Store in the same place you manage your social engagement. Track feedback, reply faster, and spot product or UX issues without juggling multiple dashboards.
Use cases:
Monitor app reputation across both stores alongside social comments
Reply to frustrated users before negative reviews hurt conversion
Identify recurring bugs or feature requests directly from reviews with alerts
No-delay auto-reply workflow for simple keyword replies
Set up instant auto-replies for simple, keyword-based reply workflows that do not need sentiment checks, tags, or translation. Perfect for campaigns where users comment a specific word and should immediately receive a DM, keeping the experience snappy and conversion focused.
Use cases:
“Comment ‘WORD’ to receive your discount code via DM” style campaigns
Simple FAQ replies based on one or two clear keywords
Driving DM opt-ins from high intent comments without manual work
15-second interval between batch replies (Agent+ only)
Batch approvals are now automatically queued and sent 15 seconds apart. This pacing reduces the risk of being identified as spam, while still keeping replies moving efficiently. You can also filter and review replies that are currently sitting in the queue (Status > Replied > Reply in queue).
Use cases:
Approve large batches of replies safely during product launches or promos
Product identification at the post level (Agent+ only)
We detect the product featured in a post and attach details such as name, URL, and key attributes. If automatic detection does not find the right product, your team can add it manually. All comments in the post inherit this product context, which speeds up replies and cuts down on manual lookups.
Use cases:
Give faster, product-specific answers to questions like “What product is this?” / "What's the price", etc.
Instagram DM likes for messages and story mentions
Quickly like Instagram DMs, story mentions, and similar items directly from the listing or reply modal. It is a lightweight way to acknowledge fans, creators, and customers when a full reply is not needed.
Use cases:
Acknowledge positive shout outs from fans or micro creators
Show appreciation for UGC and story mentions at scale
Give a quick signal that a message was seen even when the team is busy
View templated DMs generated on Meta
See the templated messages generated for Meta DMs directly inside the platform, so your team has complete context in one place. This makes it easier to follow full conversation flows and understand what users already received before sending a new reply.
Use cases:
Avoid repeating information that was already shared in Meta templates
Troubleshoot issues when customers say they never received a specific message
Keep a full audit trail of automated and manual DM interactions
Transparency dashboard now under Analyze
Transparency dashboard tabs now live under Analyze, where reporting is reviewed more frequently. Listening sources have moved to under Assets, since they are configured less often. This gives teams a more natural flow from setup to daily analysis and performance reviews.
Use cases:
Check daily transparency metrics alongside other key reports
Keep listening source setup cleanly separated from ongoing tracking
Make it easier for analysts to find transparency insights without digging through settings
New filters for approved, edited, and rejected replies (Agent+)
You can now filter replies by whether you approved, edited, or rejected them from the pending queue, with full history support. This makes it easier to audit how Agent+ replies are being used, spot patterns, and refine instructions over time.
Use cases:
Review all replies a specific moderator approved or edited during a shift
Identify common situations where replies are frequently edited and improve guidance
Track rejected replies to spot edge cases that need new rules or updates
