Indian B2B & SME Companies
RevOps built for how Indian companies actually sell.
RevOps for Indian B2B teams: Zoho, HubSpot or Bigin set up around IndiaMART, WhatsApp and website leads, with reporting in rupees.
Most RevOps advice is written for a US SaaS company with a Salesforce instance, an SDR team and leads that arrive through a demo form. Indian B2B companies sell differently. Leads arrive from IndiaMART, JustDial, TradeIndia, WhatsApp, phone calls, distributor referrals and trade shows as much as from the website. Sales conversations happen on WhatsApp. The CRM is often Zoho CRM or Bigin rather than Salesforce, and quotes and invoices have to line up with GST. This engagement builds the same RevOps foundation as my core RevOps consulting work, lifecycle stages, lead routing, qualification rules, source attribution and pipeline reporting, but designed around Indian lead sources, Indian CRMs and rupee reporting.
How this differs from my general RevOps consulting
The core RevOps consulting engagement (see /services/revops-consulting) is built for B2B and SaaS companies in any market, usually on HubSpot or Salesforce, with leads arriving mainly through websites, paid media and outbound. This India-focused engagement keeps the same principles, one CRM, agreed qualification rules, source attribution and a single pipeline report, but changes the plumbing. The lead sources include marketplaces such as IndiaMART, phone enquiries and WhatsApp conversations. The CRM is more often Zoho CRM or Bigin. Quotes and invoices need to carry GST details.
The IndiaMART and WhatsApp leak
For many Indian B2B companies the biggest RevOps problem is not attribution models, it is enquiries that never make it into a system. Marketplace leads are read in the seller app and followed up from a personal phone. WhatsApp conversations hold the real negotiation history but are invisible to the CRM. When a salesperson leaves, their pipeline leaves with them. The first job is getting every enquiry into one place with its source attached, then making follow-up visible: who owns the lead, when they last contacted it, and what stage it is at. Only once that is working does it make sense to discuss scoring models or multi-touch attribution. For a walkthrough of the marketplace piece specifically, see the insight on tracking IndiaMART leads in Zoho CRM.
Proof from a RevOps build
The clearest published example of this kind of work is the HR-tech RevOps case study (/case-studies/hr-tech-revops-build): a B2B HR compliance SaaS company on HubSpot where a lead scoring model built from closed-won and closed-lost analysis, a jointly agreed MQL definition, score-based nurture and a follow-up SLA took MQL-to-SQL conversion from 8% to 23%. It is a SaaS business rather than a marketplace-led one, so it is not a like-for-like example of an IndiaMART-heavy sales motion, but the method is the same: find the signals that correlate with revenue, agree the definitions, and let the CRM enforce them.
Zoho CRM, Bigin or HubSpot configured with lifecycle stages, pipelines and fields that reflect how your team sells, including WhatsApp-first follow-up and distributor or channel partner deals.
IndiaMART and similar marketplace enquiries flowing into the CRM automatically, de-duplicated against existing contacts and tagged with their source instead of being copied in by hand.
Routing rules by city, product line or deal size, with follow-up tasks and alerts so a marketplace or website enquiry is not left waiting while the team works from a spreadsheet.
UTM capture on the website, source tags for marketplace, phone, WhatsApp and referral leads, and offline conversion feedback to Google Ads where the volume justifies it.
Deal and quote data structured so it hands over cleanly to your invoicing tool, for example Zoho Books, with GST details captured on the customer record rather than re-entered at billing time.
A weekly dashboard showing enquiries, qualified opportunities, quotes sent and revenue won by source and salesperson, in INR, that founders and sales heads both read from.
- 01RevOps audit: how leads arrive today, where they are stored, who follows them up, and which sources actually produce closed revenue.
- 02Architecture design: CRM choice confirmed or changed (Bigin, Zoho CRM or HubSpot), stages, fields, routing rules and source taxonomy agreed before any build begins.
- 03Build and connect: CRM configuration, marketplace and website lead capture, WhatsApp and email follow-up workflows, and the quote-to-invoice handover.
- 04Align sales and leadership: a shared definition of a qualified enquiry, follow-up SLAs, and one weekly pipeline review from the same report.
- 05Train and hand over: the sales team trained on the system, with documented processes so it keeps running after the engagement.
Before you book a call.
It depends on team size and process complexity. Bigin suits small teams with a simple pipeline and a WhatsApp-first sales motion. Zoho CRM suits companies that need deeper customisation, multiple modules, IndiaMART integration and the wider Zoho ecosystem including Zoho Books. HubSpot suits companies with heavier inbound marketing and content programmes. The audit recommends one based on how you sell, and we work with whichever you already own if it fits.
Yes. Zoho CRM has a native IndiaMART integration, and other CRMs can receive marketplace enquiries through an API or automation connection. The work is not just the connection: it is de-duplicating against existing contacts, tagging the source correctly, routing the lead to the right person and setting a follow-up task, so marketplace leads become measurable pipeline rather than a separate inbox.
By the number of lead sources to connect, the CRM involved, the number of pipelines and salespeople, and whether invoicing integration is in scope. After a 30-minute call we send a fixed-scope proposal. A smaller Bigin setup is a much lighter project than a multi-pipeline Zoho CRM build with marketplace, website and invoicing integrations.
Ready to talk about RevOps Consultant India?
A 30-minute call to map your current setup, find the constraint, and decide whether this engagement is the right fix.
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