A WhatsApp CRM is customer relationship management software that runs on the Official WhatsApp Business API, storing every contact record, deal stage, and conversation history inside WhatsApp itself. Instead of copying chats into a separate CRM, sales teams track leads, pipelines, and customer lifecycle directly in the thread where the selling happens.
A WhatsApp CRM should do five things:
WhatsApp is where the deal actually happens. It is also where the deal quietly dies.
Ask a rep what is in their pipeline and they scroll. Somewhere past a delivery confirmation and a group chat sits a customer who asked for a quote nine days ago. No stage, no value, no next step. When the rep takes a day off, the deal takes a day off too.
A senior rep resigns on a Friday and two years of context walks out with them: who hates phone calls, who negotiated a discount last March, whose approval always comes from a spouse. It lived on a personal phone. The replacement starts from zero and every returning customer repeats themselves.
Reps switch tabs, copy phone numbers, paste chat snippets into notes, and abandon the habit within three weeks. The CRM shows twelve deals and the phone shows ninety conversations. Both are wrong, and forecasting runs on data that was last true a fortnight ago.
Answering it means asking every rep to guess, exporting a spreadsheet, and chasing three people for updates. Meanwhile deals sit untouched for eleven days because no view says "these seven conversations have gone cold." Revenue in WhatsApp is rarely lost to a better price. It is lost to silence.
Revenue lost in WhatsApp is rarely lost to a better price. It is lost to silence — and that is exactly what a CRM fixes.
BetaXLab does not sit next to WhatsApp. It is the layer your team works inside, connected to the Official WhatsApp Business API, so the conversation and the customer record are the same object.
The moment a number messages your business, BetaXLab creates a contact and opens a deal card against it — with your stages (New Enquiry, Qualified, Quote Sent, Site Visit Booked, Negotiation, Closed Won), an owner, an expected value, and a next-action date. Reps drag deals across the board or change stage from a dropdown inside the chat.
Every contact carries a permanent timeline: first message, source, every thread, notes, quotes sent, stage changes with timestamps, campaigns received, and purchase history in custom fields. Because chats run on a business number through the API, that history belongs to the company — reassign a departing rep in a few clicks.
Open a chat in the shared team inbox and the full CRM record sits beside it: tags, custom fields, lifecycle stage, deal value, past orders, assigned agent, and internal notes. Reply, log an outcome, change stage, set a reminder, and trigger a sequence without opening another tool. No tab switching means no adoption problem.
The Analytics Dashboard reads from actual conversations, not from what someone remembered to type. Open deals by stage, value at each stage, deals by owner, average time in stage, and which source — QR code, click-to-WhatsApp ad, website widget, broadcast — produced the deals that closed. Stalled deals surface automatically.
The working surface is the shared WhatsApp inbox, fed by WhatsApp lead management and governed by role based access.
Fourteen modules that turn a WhatsApp inbox into a pipeline you can forecast from.
Build the exact stages your sales process uses and drag deals between them on a board view, or change stage from inside the chat. Each deal holds value, owner, source, expected close date, and next action.
Every WhatsApp number gets a permanent, searchable record: all past threads, notes, stage changes, campaigns received, and custom field values like plan type, last purchase, or renewal date.
AI reads a long thread and returns the state of play: what the customer wants, what was promised, what objection is blocking the deal, and the suggested next step.
Enquiries from click-to-WhatsApp ads, QR codes, website widgets, and catalog messages land as CRM contacts and route to the right agent by round-robin, territory, product line, or language.
Segment your database by lifecycle stage, city, budget band, product interest, or any custom field you define — then filter the pipeline and target campaigns off those same fields.
Multiple agents work one business number at the same time, with assignment, internal notes, mentions, and collision detection so two reps never answer the same customer twice.
Attach sequences to stages. A deal that enters Quote Sent and sits there for 48 hours triggers a check-in; a Site Visit Booked deal triggers a confirmation and a day-before nudge.
Set reminders on a deal for the customer, the rep, or both: payment due, demo tomorrow, renewal in seven days, documents pending.
Enrol deals stuck in early stages into a multi-day nurture sequence that educates, handles common objections, and re-opens the conversation on a schedule.
Send approved templates to a filtered CRM segment — every Closed Lost deal from the last six months with a budget objection — and watch replies land back in the pipeline as live deals.
Control who sees which deals, which contacts, and which reports. Number masking hides customer phone numbers from agents so nobody can take the database with them when they leave.
Track conversion rate by stage, average deal cycle length, response time per agent, campaign-attributed revenue, and win/loss reasons.
An AI chatbot answers common questions, qualifies budget and intent, and writes the answers straight into the deal custom fields overnight.
Collect structured data — budget, city, appointment slot, product preference — inside WhatsApp with Flows, and keep a library of Meta-approved templates for every stage of the deal.
See the pipeline in action on your own sales process.
What changes once the pipeline and the conversation stop being two separate systems.
Deals move because someone follows up, and a WhatsApp CRM makes following up the default rather than an act of discipline. For most teams the biggest short-term win is not new leads at all — it is the sixty untouched enquiries from last quarter.
No tab switching, no copy-pasting numbers into a separate CRM, no Monday morning spent assembling a pipeline spreadsheet. Updating a deal takes one tap in the window the rep is already typing in.
Speed and context are the two levers. Auto-assignment cuts first response from hours to minutes, and AI summaries plus a full timeline make the reply relevant instead of generic. A fast, well-informed message beats a fast, empty one.
Every enquiry from every source becomes a contact and a deal automatically. Unassigned and unanswered conversations surface in the dashboard, and the AI chatbot holds the line so a 10pm enquiry is still warm at 9am.
Customers stop repeating themselves. Whoever answers can see the last order, the open complaint, the quoted price, and the promise made three weeks ago. That continuity makes a small business feel large.
One business number, many agents, clear ownership, no duplicate replies. Role based access keeps juniors on their own pipeline, number masking protects your database, and reporting shows who needs coaching on which stage.
From a verified number to a pipeline that updates itself — usually inside a week.
Sign up, submit your business details for Meta verification, and connect a new or existing number to BetaXLab Official WhatsApp Business API access. Most businesses are live within 48 hours, with green tick verification support included.
Define your deal stages, custom fields, and team roles, then import existing customers from a CSV or your current CRM. Set assignment rules so new enquiries route automatically to the right rep from day one.
Your team replies from the shared inbox with full customer context on screen. Stage changes, follow-ups, reminders, and reporting happen as a by-product of the conversation — no separate CRM data entry required.
Same pipeline engine, six very different sales processes.
A portal or ad enquiry arrives as a deal in New Enquiry with the listing ID as a custom field. Budget, configuration and possession timeline are captured through a WhatsApp Flow, the deal advances to Site Visit Scheduled with reminders the evening before and the morning of, and a follow-up sequence keeps the buyer warm through the long decision cycle.
Patients move through Consultation Booked, Consulted, Treatment Plan Shared and Treatment Started, with treatment interest, preferred doctor and language stored as fields. Reminders confirm appointments 24 hours ahead with a one-tap reschedule, and the timeline shows which session of a multi-visit course the patient is on.
Every booking creates a contact carrying last service, preferred stylist, product purchases and visit frequency. A client who normally visits every five weeks gets a drip nudge at week seven tied to their usual service, while package deals — bridal, memberships, treatment courses — run through their own stages.
Party bookings, corporate catering, private dining and bulk orders become deals with headcount, date, cuisine and budget as fields, moving through Menu Shared, Quote Sent, Advance Received and Event Delivered. Reminder automation chases the advance and confirms headcount two days out.
Each enquiry carries course interest, target exam, city and parent contact, then moves through Counselling Done, Demo Class Attended, Fee Discussed and Enrolled. Counsellors see every previous conversation with student and parent on one timeline, and the dashboard shows which channel produced enrolments rather than enquiries.
Abandoned checkouts, COD confirmations, bulk enquiries and pre-sales questions become deals with cart value and product interest attached. Post-purchase the lifecycle continues with delivery updates, review requests, replenishment reminders and win-back campaigns past the usual reorder window.
Every platform below runs on the Official WhatsApp Business API. The difference is what happens after the message arrives.
| BetaXLab | WATI | Gallabox | Interakt | AiSensy | Zoko | |
|---|---|---|---|---|---|---|
| Core Features | Official WhatsApp Business API, AI CRM with deal pipeline, shared inbox, automation, broadcast, Flows, chatbot, analytics | Official API with shared inbox, broadcast and chatbot builder | Official API with inbox, bot flows and basic sales pipeline | Official API with inbox, catalog and campaign tools | Official API focused on broadcast and campaign delivery | Official API with strong commerce and catalog focus |
| Ease of Use | Sales-first UI — pipeline, chat and customer record on one screen; no tab switching for reps | Mature, familiar interface; CRM context sits apart from the chat | Clean interface; pipeline and inbox are separate workspaces | Straightforward for campaigns; less structured for deal-stage selling | Simple for sending campaigns; lighter on day-to-day sales workflow | Polished for commerce teams; sales pipeline is secondary |
| Automation Depth | Stage-triggered follow-ups, reminder automation, drip campaigns, AI chatbot, Flows — all can read and write deal fields | Rule-based automation and chatbot flows | Good bot builder; automation less tied to deal stages | Campaign and journey automation | Strong broadcast scheduling; lighter conditional logic | Automation oriented around orders and carts |
| Built-in CRM | Yes — native deal pipeline, custom stages, deal value, lifecycle stages, permanent customer timeline, no external CRM required | Contact-centric with CRM-style fields; deal pipeline is limited | Yes, includes a sales pipeline view | Contact and segment management; not a full deal pipeline | Contact lists and attributes rather than a deal pipeline | Customer profiles built around order history |
| Pricing Transparency | Flat, transparent plans published upfront — you always know what a month costs before you send | Tiered plans plus Meta conversation charges | Published plans with usage-based components | Published plans with usage-based components | Plans plus per-message/credit-style costs | Positioned toward higher-spend commerce accounts |
| Team Collaboration | Multi-agent inbox, auto-assignment, internal notes, mentions, role based access, number masking | Multi-agent inbox with assignment and roles | Multi-agent inbox with assignment | Multi-agent inbox on higher tiers | Team access available; collaboration is not the core focus | Multi-agent inbox for commerce support |
Comparison reflects publicly documented product positioning at the time of writing and is intended as a directional guide. Feature sets change — verify current details with each vendor before purchasing.
Twenty questions sales teams ask before moving their pipeline into WhatsApp.
BetaXLab AI WhatsApp CRM gives every chat a stage, an owner, and a next step. Explore the pieces that make the pipeline work.
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