Unibox NLP is a new, AI-powered feature that will transform the way you manage your campaigns.
The benefits of this feature
Automated labeling
Our AI can now intelligently detect and apply the appropriate custom labels to the incoming replies, saving you tons of time on manual tasks.
Multi-language application
The system can handle more than 50 languages, so replies in any supported language can be classified accurately based on sentiment and context.
No additional cost
Unlike our competitors, we offer this advanced feature at no extra charge to our customers.
How to Enable Automatic Reply Tagging
Step 1: Enable automatic reply tagging
Go to Settings → Preferences
Enable Automatically tag lead status in replies under the AI Automations section.
Step 2: Allow AI to update existing labels(Optional)
Enable Update existing lead labels with AI if you want AI to replace a lead’s current label when it determines a more accurate one.
Leave this disabled if your team prefers to manage lead labels manually.
Step 3: Select the labels AI can use
Click Select Labels and choose which built-in and custom labels AI is allowed to apply to incoming replies. By default, the following built‑in labels are enabled: Interested, Not interested, and Out of Office.
Enable custom labels as needed. To create a new custom label, click Create New under the Custom Labels section.
Custom label selection is available on Hyper Growth and Light Speed plans.
Step 4: Test your labels
Open the Test AI tab, paste a sample reply, and click Run Test to see which label AI would apply. This lets you verify your label descriptions before using them in live campaigns.
Improve AI Tagging Accuracy
If the AI is not tagging replies correctly:
Click the pencil icon next to any label
Update the description with more context
Helps the AI classify replies more accurately
If a reply is misclassified by AI, click the + and select the thumbs-up or thumbs-down icon to submit feedback. This helps improve future accuracy.
