Long-form writing on India GTM, registry data, and lawful prospecting.
Written by the team, for operators. No fluff, no buzzwords. Each piece links to the data behind its claims, so you can verify before you forward to your CRO.
Why global B2B-data tools fail on India
ZoomInfo, Apollo, Cognism, Lusha cover at best 200K Indian companies. The country has 1.89 million. Here is exactly what they miss.
The gap is not random. Global tools are biased toward English-speaking, web-present, urban firms that show up on LinkedIn and on tech-employer lists. They are biased toward IT services, BPO, and SaaS. They miss the rest of the economy: 218,000 LLPs, 482,000 MSMEs visible on Udyam, 218,000 IEC holders shipping out of 13 ports.
How MCA data actually works (and what the open dataset misses)
The MCA21 portal, data.gov.in dumps, the V3 API, and the gap between them. A practical guide.
Export-led prospecting in India: the four signals that matter
For trade-services teams (logistics, banks, NBFCs, freight forwarders), shipping-bill events outperform every other intent signal.
DPDP Act, 2023 and B2B sales data: what changes, what does not
Section 3(c)(ii) carves out registry data and self-published data. What that means in practice for sales teams.
Building the India company graph: dedup, names, and Devanagari
The hardest engineering problem in Indian B2B data is not ingestion. It is identity resolution.
Why provenance is a feature, not a compliance checkbox
Every field in your CRM rots within 18 months. Provenance tells you which fields to refresh first.
The 15 MCA signal types, ranked by GTM utility
Not every signal is created equal. A practical ranking of which MCA events actually move pipeline.
ICEGATE shipping bills, plainly explained for non-customs people
What a shipping bill actually contains, what is public, what is not, and why this matters for GTM.
Pricing India B2B data: why Rs 7,999 a month, not USD 25,000 a year
Apollo charges global SaaS prices for thin India data. Pricing India data in INR for India teams.
List building for India SDRs: a one-week playbook
A concrete week-by-week motion for an India SDR moving off scraped IndiaMART to a registry-sourced graph.
Designing an enrichment API for Indian companies
Lookup endpoints, bulk endpoints, provenance per field. The design decisions behind the Kestrel API.
GSTN public data: what is searchable, what is not
GSTIN search returns specific public fields. Knowing the boundary is the difference between lawful enrichment and a compliance liability.
IEC, PAN, and the trick that joins MCA to DGFT
Positions 3 to 12 of an IEC are the PAN. That single fact lets you build a complete India trade graph.
Why your India records in HubSpot decay 3x faster than your US records
Indian companies change address, name, and director more often. The default CRM refresh cycle is not built for this.
Data licensing for NBFCs and banks: what to ask for
A practical checklist for an NBFC negotiating a B2B data license. Coverage, freshness, DPA, indemnity, audit rights.