See What Moves Your WhatsApp Conversations Forward
Use ALAbrish Technologies to understand response times, campaign engagement and the journeys behind customer actions. Turn conversation data into clearer priorities for your team and your AI agents.

Find the gaps between a message and a result
Understand where customers engage, where conversations slow down and where your next improvement should start.
Team responsiveness
Review response times and conversation activity to spot queues that need attention before delays become the norm.
Broadcast engagement
Compare delivery, read and reply signals where available. Learn which campaigns start conversations, not just which ones send successfully.
AI and human handoffs
Review how AI-led conversations move to your team. Use recurring escalations to identify answers or workflows that need refinement.
Journey progress
Follow customer movement through automated journeys. Find the steps where people continue, pause or leave.
Commercial context
Bring conversation activity alongside connected sales and payment data to understand what happens after a customer shows interest.
Ask better questions of your WhatsApp data
Focus your analysis on the outcome your team is responsible for.
A delivered message is only the beginning
Read each signal for what it actually tells you. A delivery, a read and a reply represent different stages of customer engagement.
Check delivery first
Establish whether your message reached the recipient before judging its appeal.
Put reads in context
Use read data where available as an attention signal, not proof of intent.
Look at the response
Review replies to understand whether your message created a useful next conversation.
Validate the outcome
Use connected order or payment records to confirm commercial results rather than assuming a reply means a sale.

Build a practical rhythm for improvement
Make a focused change, then check whether it helped.
- 1
Step 01
Choose one question
Start with a specific issue: slow first responses, low broadcast replies or a journey step customers rarely complete.
- 2
Step 02
Establish your baseline
Review a representative period and note campaign timing, team coverage and other factors that could affect the result.
- 3
Step 03
Change the relevant workflow
Adjust a broadcast, refine an AI answer or simplify a journey step in ALAbrish.
- 4
Step 04
Review a comparable period
Check the same signals again. Keep useful changes and investigate unexpected results before making broader adjustments.
Put your findings to work where conversations happen
Analytics sits alongside the ALAbrish tools your team uses to respond, automate and sell.
Shared inbox
Use response patterns to guide how your team handles incoming conversations and follow-ups.
AI agents
Turn recurring customer questions into priorities for better AI answers and clearer escalation paths.
Broadcasts
Apply campaign learnings to your next audience selection, message and call to action.
Journey builder
Simplify steps that create friction and make the next action easier for customers to understand.
Payments in chat
Keep the purchase conversation and payment experience close together, with connected records providing outcome context.
Omnichannel workspace
Manage WhatsApp alongside Instagram, Messenger, Telegram and TikTok. Apply useful conversation learnings across channels while respecting their different messaging rules and available data.
WhatsApp analytics, explained
What to measure, how to interpret it and where connected data helps.
You can examine conversation activity, response patterns, available broadcast engagement signals and progress through automated journeys. The metrics available depend on your setup, connected workflows and the data WhatsApp provides.
Every conversation, one AI that never sleeps.
See how ALAbrish turns chats on five channels into revenue — in a 30-minute walkthrough.
