Tagged
7 posts
BANT was built in 1959 for IBM. MEDDIC was built for enterprise software. Both fail at Indian SMB inbound velocity. Here is every framework, with the 5-signal method that fits how you actually sell in 2026.
How Indian SMBs qualify high-volume WhatsApp, Meta and IndiaMART inbound in 2026 — using a 5-signal method that beats BANT, MEDDIC and gut instinct.
AI lead scoring used to need 10,000 historical leads. New hybrid models score from lead #1. Here is the honest, non-magical explanation — and how to wire it into a 5-person Indian sales team.
Lead qualification, plainly: the act of deciding which leads your sales team will actually work — before anyone picks up the phone. Definitions, frameworks, examples, and what changes in 2026.
Everyone uses the words. Nobody defines them. Here is the data-backed classification — and how AI scores Hot/Warm/Cold from a single WhatsApp message.
Most lead scoring guides are written for US B2B SaaS. Here are the 12 signals that actually predict close-rate for Indian SMBs — including response speed, IndiaMART verification, intent words in Hindi, and source velocity.
MQL/SQL was invented to align marketing and sales teams. In an Indian SMB where the founder is both, the distinction is a distraction. Here is the simpler model that replaces it: Hot, Warm, Cold.