Category

Thought Leadership

Founder perspective and strategic takes on AI, GTM, and the future of B2B growth.

98 posts

Abhijit Das

Why demos don't convert to proposals

Most failed demos are actually failed discovery calls. The prospect watched a product tour, got interested in some features, and then had no specific problem driving urgency. When the problem isn't confirmed before the demo, the proposal that follows has nothing to pull it forward.

#GTM Strategy#Sales Automation
Abhijit Das

Why marketing and sales alignment fails — and what actually fixes it

Marketing and sales misalignment isn't a communication problem. It's a structural one: the two teams are measured on different things at different time horizons, so their incentives diverge even when their intentions don't. Better communication doesn't fix a structural incentive problem.

#GTM Strategy#Sales Automation
Clay_vs_Apollo
Abhijit Das

Clay vs Apollo: data enrichment depth vs outbound reach

Clay and Apollo both help with prospecting, but they're fundamentally different tools. Clay enriches and personalises data with waterfall logic. Apollo gives you a database with a built-in sequencer. Here's when to use each — and how they work together.

#Outbound#GTM Strategy
Pipedrive vs HubSpot for early-stage B2B
Abhijit Das

Pipedrive vs HubSpot for early-stage B2B: which to choose

Pipedrive and HubSpot both work for early-stage B2B, but they're built for different motions. Pipedrive is a sales-first CRM — fast to set up, deal-focused, low friction. HubSpot is a growth platform — better when marketing and sales are both active. Here's how to choose.

#GTM Strategy#AI-Native
LinkedIn Sales Navigator vs Apollo
Abhijit Das

LinkedIn Sales Navigator vs Apollo: which prospecting tool wins?

LinkedIn Sales Navigator and Apollo both help you find B2B prospects, but they're built on different data and suited to different outreach styles. Navigator wins for relationship-based prospecting. Apollo wins for high-volume cold outbound. Here's how to choose.

#Outbound#GTM Strategy
solo founder outbound campaign strategy
Abhijit Das

Why AI sales tools fail in the first 90 days

Most AI sales tool deployments produce disappointing results in the first 90 days. The tool gets blamed. The real cause is almost always the same: the tool was configured but the inputs it needs to work — tight ICP, proven message, supervision loop — were never set up.

#AI Agents#GTM Strategy#Solo Founder
Why most ICP definitions are wrong before they're written
Abhijit Das

Why most ICP definitions are wrong before they're written

Most ICP definitions describe who you'd like to sell to, not who actually buys. The gap between those two is where most outbound dies. Here's the specific ways ICP definitions go wrong and how to build one that actually reflects your buyers.

#GTM Strategy#Sales Automation
B2B sales forecasting is broken at small companies
Abhijit Das

Why B2B sales forecasting is broken at small companies

Small B2B companies forecast from CRM data. Their CRM data is unreliable. So their forecasts are unreliable. The problem isn't the forecasting model — it's the input quality. Here's why CRM data breaks down at small team scale and what to do about it.

#GTM Strategy#Sales Automation#AI-Native
B2B sales playbooks
Abhijit Das

Why most B2B sales playbooks don't survive the first rep departure

Most B2B sales playbooks are outdated within 60 days of being written and completely ignored within 90. When the rep who built the knowledge leaves, the playbook is all that remains — and it's rarely enough. Here's why and what actually fixes it.

#GTM Strategy#Sales Automation
GTM mistakes by solo founders
Abhijit Das

The GTM mistake I made before building Ektie

I spent years building GTM teams that couldn't run without me. Every team I built needed me in the middle — briefing the SDR, reviewing the AE's pipeline, explaining to the marketing person what we were trying to say. Here's what I got wrong and what I built Ektie to fix.

#GTM Strategy#Solo Founder#Sales Automation
What our first Ektie customers had in common
Abhijit Das

What our first Ektie customers had in common

Every early Ektie customer shared one characteristic: they had already tried to build outbound manually and failed — not because of capability, but because of consistency. Here's the pattern and what it reveals about who AI GTM teams actually fit.

#GTM Strategy#Solo Founder#Sales Automation
Performance comparison AI SDR
Abhijit Das

How long it actually takes an AI SDR to outperform a human SDR

An AI SDR doesn't outperform a human SDR from day one — it outperforms at month 3 and accelerates from there. Here's the performance timeline, what drives it, and why the gap compounds over time instead of flattening.

#AI Agents#GTM Strategy#Solo Founder