WhatsApp Lead Routing and Prioritization

Outcome Summary

Capture and triage WhatsApp leads based on urgency, location, and service type—without losing context between the first message and a human follow-up.
Use a consistent intake flow so your team can prioritize “hot” inquiries during busy periods.
Reduce missed leads by combining automated lead capture, escalation when the Agent isn’t confident, and a clear human handoff.

What Clarivo Actually Does (Truth Block)

✅ Clarivo does

Deploys an AI Agent on your WhatsApp Business number to respond to inbound customer messages.
Detects intent and performs Lead capture (when enabled), storing leads in a Leads table with filters.
Creates an Inquiry (when enabled) if it can’t answer confidently, so the Agent escalates instead of guessing.
Supports multilingual conversations and replies in the customer’s language.
Understands WhatsApp voice notes and shows the transcription in the dashboard.
Provides a dashboard for conversation history and human handoff (“open in WhatsApp” style).

❌ Clarivo does not

Run outbound broadcast campaigns or mass messaging.
Guarantee appointment booking (it can collect preferred times/details; humans confirm).
Process payments.
Sync real-time inventory or external systems like MLS.
Replace a full omnichannel inbox (it’s WhatsApp-focused).

The Core Problem

If you rely on WhatsApp for inbound business, lead routing breaks down when:

Urgency is implicit (“I need this today”) and the team misses it in the chat stream.
Location matters (service areas, branches, delivery zones) but customers don’t state it clearly.
Service type is ambiguous (“How much is it?”) and staff can’t prioritize without context.
Voice notes contain key details that don’t get skimmed or summarized.
Peak periods create “message pileups,” so the best leads wait the longest.

Framework

Use this framework to make lead routing predictable—without pretending WhatsApp is a ticketing system.

Define your routing signals (the fields you’ll triage by)
- Urgency (urgent vs normal)
- Location (city/area)
- Service type (what they want)
- Optional: preferred timing, budget range, language
Set the Agent’s intake behavior to collect signals early
- Ask a short, polite sequence that captures location and service type before deep troubleshooting.
- If the customer sends a voice note, the Agent can work from the transcription and still ask clarifying questions.
Use a lead confirmation message that “locks in” details
- Confirm what the customer asked for (service type)
- Confirm location
- Confirm urgency
- This reduces back-and-forth and gives humans a clean handoff summary.
Decide what must escalate into an Inquiry (so nothing critical stalls)
- Anything policy-sensitive
- Anything requiring judgment
- Anything the Agent isn’t confident about
- Anything that needs a manual check (availability, special cases)
Build a triage routine around the Leads + Inquiries tables (your routing queues)
- Review new Leads first for revenue and urgency.
- Review Inquiries next for “stuck” conversations that need expert input.
- Use filters to focus on “urgent + your service area + your service type.”
Write a human handoff playbook (who takes what, and how fast)
- Define ownership rules internally (on-call, branch rotation, skill-based coverage).
- Standardize how a human continues the same WhatsApp thread after opening it.
Turn on mobile/PWA notifications for new Leads and new Inquiries
- This is the simplest way to avoid missing hot inquiries when staff aren’t at a desk.
Iterate using dashboard analytics (what gets missed, and why)
- Look for patterns: which service types escalate most, which locations convert best, and where response delays happen.

Copy/paste intake templates (adapt to your tone)

Template: urgency check

To help you faster—how urgent is this? Is it needed ASAP, or can it be scheduled?

Template: location check

What city/area are you in (or where do you need the service)?

Template: service type confirmation

Got it. Just to confirm, you’re asking about: [service]. Is that right?

Template: human handoff promise (without overpromising time)

Thanks—sharing this with our team now. If anything changes, reply here and we’ll see it.

Use Cases

Use case: Home services (routing by location + urgency)

Scenario: A customer messages “Can you come today?” and sends a voice note with the address.
Recommended approach: Let the Agent capture the city/area, confirm the requested service, and mark urgency; if the request needs manual availability confirmation, create an Inquiry and hand off to a human who opens the exact chat in WhatsApp.
Common mistake: Treating “today” as a normal lead and asking too many questions before capturing the address and urgency.

Use case: Clinics (routing by service type + escalation)

Scenario: A patient asks about a procedure and eligibility, but the details are incomplete.
Recommended approach: Use the Agent to collect the minimum intake details, then escalate to an Inquiry when the question is policy-sensitive or needs clinical judgment.
Common mistake: Letting the Agent “guess” eligibility instead of escalating when it’s not confident.

Use case: Restaurants (routing by request type)

Scenario: Messages mix reservations requests, menu questions, and delivery availability.
Recommended approach: Use the Agent to classify the service type quickly (reservation vs menu vs delivery), capture any key fields, and hand off if a human needs to confirm special requests.
Common mistake: Treating all messages as equal priority and not separating high-intent reservation/delivery requests from general questions.

Decision Checklist

Use this before you implement WhatsApp lead routing and prioritization:

Do you know the exact signals you’ll route by (urgency, location, service type), and are they consistent across the team?
Can your intake flow capture location quickly without annoying customers?
Do you have a clear definition of what becomes an Inquiry versus a normal lead?
Can a human jump into the same thread with full context via human handoff?
Are you prepared to handle voice notes (and do you want them treated as first-class inputs)?
Do you need multilingual handling so customers don’t stall when they message in a different language?
Do you have an internal ownership rule (on-call/branch/rotation) so “routed” leads don’t sit unclaimed?
Have you decided how you’ll review performance in analytics and refine the intake questions?

Constraints

Clarivo is inbound-focused: it responds when a customer messages first.
No outbound broadcast or mass messaging for “lead routing blasts.”
Appointment scheduling is not guaranteed end-to-end; the Agent can collect details, but humans confirm.
No built-in payments processing.
WhatsApp-focused rather than a full omnichannel inbox.

Practical Example (Illustrative)

Here’s a simple triage path you can run daily—without adding complex tooling.

Incoming message: “Hi, I need deep cleaning today. I’m in Jeddah. What’s the price?”

Decision path:

Urgency present? Yes (“today”) → treat as urgent.
Location captured? Yes (city provided) → route to the team/branch that covers that city.
Service type clear? Yes (deep cleaning) → prioritize staff who handle that service.
Can the Agent answer confidently?
- If your pricing rules/policies are configured, the Agent can respond and confirm lead details.
- If pricing depends on an inspection or details you haven’t provided, create an Inquiry so a human confirms and replies in WhatsApp.

What this prevents:

The lead doesn’t get lost in a generic “Hi” queue.
The team doesn’t waste time asking for basic details that should be captured upfront.
The Agent doesn’t guess pricing when it shouldn’t.

FAQ

Can Clarivo assign leads to specific staff members automatically? Clarivo captures leads and shows them in a Leads table with filters, and it supports human handoff into the exact WhatsApp thread. Team assignment is typically handled by your internal workflow (on-call, rotation, branch coverage).

Does this work if customers send voice notes instead of typing? Yes—Clarivo understands WhatsApp voice notes, shows the transcription in the dashboard, and can respond based on the content.

Can the Agent handle multiple languages automatically? Yes—Clarivo supports almost every language and dialect worldwide and replies in the customer’s language.

What happens if the Agent isn’t sure about an answer? When enabled, it creates an Inquiry instead of guessing, so a human can review and respond.

Can Clarivo send mass messages to re-engage cold leads? No—Clarivo does not support outbound broadcast campaigns.