I'm Sneha. I help businesses make the decisions that make GTM work.

Which market.
Which buyer.
What to build.
What to charge.
How to win.
14+ years across B2B SaaS, fintech, hospitality tech and consumer brands.
The maths of winning
~3×
Average contract value (ACV), at an AI localisation platform and at a workflow automation SaaS
+63%
Revenue potential at a travel-tech platform, from a redesigned commercial model
105%
Growth in marketing-qualified leads (MQLs) at a hospitality tech platform
2% → 15.7%
Security add-on attach rate at a hospitality tech platform: the share of customers buying it
My point of view

Messaging is often where a commercial problem becomes visible. It is rarely where the problem began.

By the time Product Marketing receives the messaging brief, many of the decisions that determine revenue have already been made. So I start before the brief exists. I go back to the buyer, the category, the package and the price, find the decision that is actually holding growth back, and fix that first. Then I write the message.

A proposition can become weak months before anyone writes the copy.

The company may have
01

chosen the wrong buyer

02

defined the market too narrowly

03

built for several segments at once

04

packaged value badly

05

inherited pricing from an earlier version of the product

06

or asked five teams to tell five versions of the same story

Frontline workflow SaaS

At a frontline workflow SaaS, the issue looked like positioning. The deeper problem was category. Moving from digital forms to workflow automation helped average contract value roughly triple.

Before: 1×After: ~3× ACV
AI localisation platform

At an AI localisation platform, the story changed because the target buyer and the problem changed. Average contract value moved from under $5K to over $15K.

Before: <$5KAfter: >$15K
Better messaging can improve a proposition. Better decisions can change the economics behind it.
The decisions I work on

Product marketing gets weaker when it starts after the important decisions.

I work across six connected commercial questions. Each one shapes the next.

01Market

Where can we win?

Segmentation · ICP (ideal customer profile) · market opportunity · competitive intelligence

PROOFHospitality tech: a new segment and ICP.
02Product

What should exist for that market?

Research · prioritisation · unmet needs · category opportunity

PROOFHospitality tech: shaped the company's largest launch.
03Commercial model

How do we capture and package value?

Pricing · packaging · willingness to pay · revenue leakage

PROOFTravel tech: +63% revenue potential.
04Positioning

What frame makes the value obvious?

Category · alternatives · differentiation · evidence

PROOFWorkflow automation SaaS: ~3× average contract value.
05GTM

How does the decision become revenue?

Launch · demand · enablement · conversion · expansion

PROOFHospitality tech: $237K pipeline in 30 days.
06Learning

What should change next?

Adoption · win/loss · retention · feedback · KPIs

PROOFWin/loss and adoption data fed the next decision.
The difference between execution and leadership is often simply this: which decisions are you in the room for?

How I work

Three principles. Every engagement.

Diagnose first. Fix what compounds. Leave a system.

1

Diagnose first.

Before I touch the messaging, I find out what's actually broken. Is it the market, the buyer, the product, the pricing, the positioning or the sales motion? Most teams treat the symptom, usually "the messaging," when the root cause is somewhere else. I don't write anything until I know what we're really fixing.

2

Fix what compounds.

I don't run sprints that need re-doing next quarter. I focus on the changes that pay off across every channel, every deal, every launch — the work that gets cheaper to maintain, not more expensive.

3

Leave a system.

When I'm done, your team owns it: the positioning logic, the pricing and packaging rationale, the messaging architecture and the GTM playbook. You shouldn't need me on retainer to keep making good decisions. The best engagement is the one where you stop needing me.

My operating system

I don't start every GTM with a blank slide.

Over 14 years, recurring commercial problems have become a connected system. These frameworks were codified from problems I had already solved, not invented for workshops. I use them inside every engagement, and the team keeps them after I leave.

FLARE™

How I run GTM

FFit-to-Market
LLaunch Readiness
AAcquisition Strategy
RRetention & Growth
EEvaluation & Iteration

CLEAR™

How I make positioning decisions

CCategory
LLandscape
EEvidence
AAudience
RReason to buy

CORE™

How I turn positioning into messaging

CCustomer value
OOutstanding difference
RResonance
EEnd-to-end impact
Supporting tools
Growth Narrative Audit

Finds where the proposition is Sharp, Soft or Missing.

Persona Mapping

Gets Product, Sales and Marketing working from the same buyer reality.

Smart Pricing

Connects willingness to pay with packaging and tier progression.

The value is not the acronym. It is the sequence:

market decision→positioning decision→message→execution→learning
Explore the frameworks and templates →
AI has changed the buying decision

AI has changed what buyers compare you against.

The question is no longer “Do you have AI?” It is “Why you, when AI is everywhere?”
01
The category

AI alone is rarely enough to differentiate.

The value sits in the workflow, data, integrations, governance and expertise around it.

02
The sales story

The competitor is another solution, or an internal AI build.

Sales needs a credible build-versus-buy narrative.

03
The positioning

The story has to survive the next model upgrade.

I anchor positioning in outcomes that AI alone cannot commoditise.

AI reduces the cost of PMM work. Judgement becomes more valuable.

The harder work remains
What is true?
What matters commercially?
Which evidence should we trust?
What should the business commit to?
AI product positioning

Led positioning and launch work around AI products, including a language platform's move from localisation software to an AI-first enterprise platform. 21% of opportunities were influenced by the AI campaign.

Positioning governance

Built an AI agent that checks content against approved positioning before it ships.

Market diagnostics

Built the Language Market Fit Score, which assesses how well a company's language and localisation footprint aligns with its target growth markets.

GTM knowledge and onboarding

AI-supported tools that answer Sales and Marketing questions from an agreed narrative. AI-supported onboarding cut ramp time from 2–3 months to 6 weeks for Ideas in Pixel clients.

AI should reduce the cost of repetition. Keep humans on the decisions.
Case studies

Where I've done this. The decision behind each result.

Four engagements, each told the same way: what I saw, what I did, and what changed as a result.

Case study 01 · AI localisation platform
Head of Product Marketing · 2025–2026

Larger customers were not simply buying better translation. They were trying to operate globally.

What I saw

The company was seen as a localisation tool for developers, with an average contract value under $5K. But enterprise buyers had a bigger problem: running global content, AI and expansion across markets.

Why it mattered

The strategic question changed from “How do we sell more localisation software?” to “What does the product need to become to matter to an enterprise operating globally?” Buyers were also weighing it against AI-led translation tools and building it themselves.

What I did
01Found an enterprise segment we weren't capturing, prioritised by buyer maturity.
02Made the product an organisation-wide platform instead of a developer tool.
03Positioned it AI-first against AI-led rivals, with a build-versus-buy story.
04Launched a new enterprise product and operationalised the positioning with a positioning agent and the Language Market Fit Score.
Result · ACV
<$5K → >$15K

Average contract value more than tripled.

Result · ARR
29%

The repositioning contributed to 29% year-on-year growth in annual recurring revenue.

What this proves: moving upmarket usually requires expanding the problem you are valuable enough to solve.
Read the full case study →
Case study 02 · Frontline workflow SaaS
Product Marketing Consultant · 2024–2025

Your category sets the value buyers compare you against.

What I saw

Buyers saw the product as a digital forms tool, so they compared it with other digital forms tools. But it was solving a larger operational problem: moving information, approvals and work through frontline teams.

Why it mattered

The category was placing the product inside a smaller competitive and pricing frame. Changing it changed which problems Sales led with, which alternatives buyers compared against, which capabilities mattered, and what buyers considered a reasonable contract value.

What I did
01Changed the competitive frame from digital forms to workflow automation.
02Rebuilt the narrative around operational outcomes, while future-proofing it against AI.
03Developed competitive positioning and enterprise sales guidance.
04Helped establish the Product Marketing function with leadership.
Result · ACV
~3×

Average contract value roughly tripled.

Result · Frame
Bigger category

Buyers compared the product against workflow automation, not digital forms.

What this proves: category is not a copywriting choice. It changes the economics buyers apply to the product.
Read the full case study →
Case study 03 · Hospitality tech platform
Senior Product Marketing Manager · 2022–2024

I didn't start with a launch. I started by finding a market.

What I saw

The company wanted to grow within mid-market hospitality. I interviewed hotel groups and combined those conversations with Sales feedback and product-adoption data. A distinct ICP (ideal customer profile) emerged, with two needs that appeared again and again: running multiple properties, and supporting long-stay guests.

Why it mattered

This was a product and market opportunity, not simply a messaging opportunity.

What I did
01Turned customer evidence into a new ICP, from hotel group interviews, Sales feedback and adoption data.
02Set product priorities and packaging around multi-property and long-stay needs.
03Shaped a multi-property product, the largest launch in the company's history.
04Led the launch and the GTM programmes that turned the research into pipeline.
Result · Demand
+105%

Growth in marketing-qualified leads, with 29% engagement among target prospects.

Result · Revenue
$237K

Pipeline influenced within 30 days. The security add-on attach rate rose from 2% to 15.7%.

What this proves: customer research earns its keep when it changes a decision.
Read the full case study →
Case study 04 · Travel-tech platform
Global Product Marketing Director · 2021–2022

Growth can leak out after the customer says yes.

What I saw

The company was expanding internationally, but its market strategy, pricing and commercial processes had evolved separately. The business didn't only need more demand. It needed to capture more of the value it was already creating.

Why it mattered

The business needed to rethink its offer and packaging, and optimise its GTM process, to move from creating value to capturing it.

What I did
01Led 22 people across competitive intelligence and research, informing market-entry priorities across the UK, Ireland, EMEA and Canada.
02Redesigned what the company charged for and how. Ireland became the fastest-growing market.
03Traced revenue leakage in APAC to gaps between the pricing model and the processes responsible for billing it.
04Introduced shared commercial KPIs across Product, Sales, Marketing and Customer Success.
Result · Revenue potential
+63%

From a redesigned commercial model.

Result · Retention
+24%

Improvement in revenue retention.

What this proves: creating value and capturing value are two different commercial problems. GTM has to solve both.
Read the full case study →
See all seven case studies →
Leadership and earlier career

Strategy only becomes real when other teams change what they do.

Product Marketing leadership is not simply managing PMMs. It is creating enough clarity that Product, Sales, Marketing, Customer Success and leadership make compatible decisions. I've led teams from 4 to 22 people, worked directly with founders and executives, and built Product Marketing functions from scratch.

4

At an AI localisation platform, I managed 4 PMMs and a cross-functional team of 12, and promoted one PMM to Senior.

22

At a travel-tech platform, I led 22 people across competitive intelligence and research.

14

Earlier, at a global automotive brand, I led a 14-person marketing team.

Fourteen years of learning how markets make decisions
Travel-tech startup

Global Product Marketing Director

Built GTM, segmentation and investor economics from pre-revenue to launch.

0 → 1
Global automotive brand

Head of Marketing

Led a 14-person team through a relaunch. Weekly sales grew from 4 to 72 in four months, and the brand moved from #5 to #3 in its market.

4 → 72
Global advertising agency

Client Servicing Manager

Worked across global brands in consumer goods, automotive, insurance and home appliances.

Own consumer brand

Founder

Built and sold a consumer brand, growing quarterly revenue from NPR 100 to NPR 2.5M in two years.

NPR 2.5M
My B2B SaaS work sits on top of a broader commercial background spanning brand, pricing, growth, market entry, P&L thinking and customer acquisition.

Let's work together

Two ways in.

For B2B SaaS & AI founders

If GTM is underperforming and the team isn't sure whether the problem is market, buyer, product, pricing, positioning or execution, that's usually where I'm most useful. That could mean a diagnostic sprint, pricing and packaging work, a repositioning, or fractional PMM (a part-time product marketing lead). We'll work out which on the first call.

Bring me the brief →

For PMMs building their careers

1:1 coaching for product marketers stepping into senior roles, leading their first launch, or making the jump to fractional. Pulled from the same playbooks I use inside engagements.

See coaching →