Bengaluru, India · Head of Marketing at a B2B SaaS (cloud telephony/AI voice) company

Manish Kumar Nagar

Head of Marketing AI-Powered B2B SaaS Marketing

Data-led. AI-powered. Measured in pipeline.

The marketer who uses AI to drive growth. I read the numbers, build the AI systems that act on them, and turn budget into pipeline and self-serve revenue.

Key wins

  • +56%

    Quarterly pipeline (Q1 to Q2)

  • +27%

    Self-serve new MRR

  • $6M

    Budget managed at 10x+ ROAS

  • 800+

    Leads from the ROI Calculator

  • ~1,000

    Weekly visits from AI search

  • 30–40 hrs

    Saved every month by automated reporting

Award-winning campaigns

  • AVA Digital Awards 2026 Gold Winner
  • AVA Digital Awards 2025 Gold Winner
  • MarCom Awards 2025 Gold Winner

About

A data-led, AI-focused B2B SaaS marketing leader with ~10 years of experience and a software-engineering foundation.

As Head of Marketing at a B2B SaaS (cloud telephony/AI voice) company since March 2026, I own end-to-end marketing (paid, SEO/AEO, product marketing, web, lifecycle and brand) with a ~$1M annual budget and a team of ~8 (up to 13 managed), and I'm accountable for self-serve revenue. I grew quarterly marketing pipeline ~56% (Q1 to Q2) and drove steady 2–4% month-over-month self-serve MRR growth.

My edge is that I build, not just buy: AI systems for meeting intelligence, sales enablement, content and reporting, each one measured against pipeline and time saved. Every budget call starts from the data. Previously I managed a $6M performance budget at 10x+ ROAS, and my Connect event campaigns at Simplify Healthcare won AVA Digital Gold in 2025 and 2026, and a 2025 MarCom Gold.

  • AI-Led Growth Systems
  • Demand Generation & Pipeline
  • PLG / Self-Serve Growth
  • Budget Ownership & Unit Economics
  • Brand & Positioning
  • Sales–Marketing Alignment
  • Team Building & Leadership
  • Marketing Analytics & Attribution

AI builds

Systems I built or led, so the team ships more with less manual work.

  • Built

    MeetingBrain

    An AI meeting-intelligence system that turns calls into decisions and action items.

  • Led

    Deck Composer

    AI-powered deck-building tool for AEs: a 5-question compose flow, a modular library and brand collateral. See case study

  • Led

    Battle Cards

    A competitive battle-card tool that gives sales reps instant competitor positioning.

  • Led

    Marketing Command Center

    A single dashboard unifying pipeline, spend and channel performance for real-time decision-making.

  • Led the team · built the reporting

    AI marketing stack on n8n

    Content, social/design, Reddit and WordPress page bots on n8n, plus automated reporting I built that saves 30–40 hours a month.

    • Content
    • Social / design
    • Reddit
    • WordPress pages
    • Reporting

Selected case studies

CallHippo, 2026. Each one ends in a number the business tracks.

Sales enablement · AI tool

Deck Composer

$150K+ assisted pipeline

Problem
Account executives needed a pitch tailored to each prospect, without rebuilding material for every call.
What I did
Led the build of an AI-powered deck-building tool for AEs. A 5-question compose flow assembles a tailored deck automatically. A searchable library holds Sales, Outcome, Affiliate and industry modules plus brand collateral (LinkedIn banners, email signatures and more), and AEs can present or download straight from the tool.
Outcome
$150K+ in assisted pipeline.

Brand · Web · CRO

New website & brand refresh

~2% → ~3% homepage conversion

Problem
The brand and website needed to carry an AI-powered product story and give buyers more proof.
What I did
Led the brand-system refresh: new visual identity, messaging and website rollout, plus customer testimonials and case studies to support sales.
Outcome
A homepage A/B test lifted conversion from ~2% to ~3%.
Close-up of the exit-intent survey pop-up on the pricing page: 'What's holding you back?' with five answer options and a Next button

Conversion · Pricing page

Exit-intent survey pop-up

5.4% → 8.2% landing-page conversion

Problem
Visitors leaving the pricing page without starting a trial, and no record of why.
What I did
Paired landing-page optimisation with a three-step exit-intent survey that asks “What's holding you back?”: plan fit, a missing feature, price, still comparing, or something else.
Outcome
Landing-page conversion rose from 5.4% to 8.2%.

Demand gen · Interactive tool

ROI Calculator

800+ leads generated

Problem
Buyers want to see the value in their own numbers before they talk to sales.
What I did
Launched a connect-rate ROI calculator: three quick steps (profile, features, results) with industry benchmarks and a before-vs-after view, and the full report unlocks with work details. It's also linked from inside Deck Composer, so AEs use it in live deals.
Outcome
800+ leads generated.

Sales–marketing alignment

SDR LinkedIn brand programme

20+ SDRs

personal brands run by my team

How

My team ran LinkedIn presence for 20+ SDRs, building their personal brands, driving website traffic and lifting LinkedIn conversation rates. Sales and marketing were aligned on shared OKRs.

Thought leadership · Content

Research reports

Original research, turned into sales and demand assets — benchmarks the market can use, and tools buyers can run on their own numbers. Both live on the CallHippo research hub.

Cover of The 2026 SaaS Call Connect Rate Benchmark Report, CallHippo research

CallHippo · 2026

The 2026 SaaS Call Connect Rate Benchmark

Live data from 2,220 SaaS accounts and 252,786 outbound calls, built into a sales and demand asset — including the Call Connect Rate Calculator.

  • 85.5% ring rate
  • 7.5% median connect rate, six B2B verticals
  • ~43% more conversations from a 7% → 10% connect-rate lift
  • +36% from local-presence dialing, the biggest lever

My role: owned the go-to-market: a gated lead magnet on the research hub, a site-wide hello bar, the LinkedIn launch and document ads, and the companion calculator. Research-hub views tripled in the launch month.

Cover of State of AI Adoption in Customer-Facing Teams 2026, CallHippo original research

CallHippo · May 2026

State of AI Adoption in Customer-Facing Teams 2026

A survey of 1,200+ revenue professionals across 14 industries and 4 regions, packaged as a thought-leadership and demand asset for customer-facing teams.

  • 78% use AI in customer-facing work
  • 73% see measurable ROI
  • 3.2× faster resolution, AI-mature support teams
  • 41% / 31% lower cost-per-contact · higher CSAT, hybrid human + AI

My role: briefed and ran the launch kit: email sequence, social posts, ads, sales outreach copy, an email-signature banner and UTM-tracked links. The research then became a webinar that drew 110 registrations.

Social · Brand

Social media posts

A LinkedIn company-page redesign launched October 2026. A data-first content system: every post is anchored on a benchmark stat (HBR, Salesforce, RAIN Group, Belkins), with carousels and demo covers, produced with AI-assisted workflows.

Engagement: before vs after

Percentage change vs the six months before the October 2026 redesign. Figures to come from LinkedIn company-page analytics.

  • —%

    Followers

  • —%

    Impressions

  • —%

    Engagement rate

  • —%

    Clicks

Videos

Product ads and short films.

Performance marketing

Wins across companies, judged on efficiency, not just spend.

CallHippo · Google Ads, LinkedIn, Bing · 2026

From lead volume to qualified pipeline

Scaled Google Ads spend ~51% at an $11.60 CPA against a $23–34 target. Identified $63K of unproductive spend and paused ~49 zero-customer campaigns. Paid-search pipeline rose 55% (Q1–Q3). Then I reset paid acquisition so budget follows the leads that turn into revenue, not the form fills: cost per conversion fell 16% over 2 months and paid pipeline closed at 133% of target.

Google Ads spend
+51%
CPA vs target
$11.60 vs $23–34
Unproductive spend found
$63K
Cost per conversion (2 months)
−16%
Trial → paid, Q1 → Q3
8.6% → 10.0%
Paid pipeline
133% of target
  1. 01

    Audit the signal

    Found brand and competitor keywords overlapping across campaigns, a large branded share inside Performance Max, existing customers clicking brand ads, and Bing counting page views as conversions.

  2. 02

    Separate intent

    Split branded, non-branded and competitor demand: brand consolidated into one campaign, phased brand exclusions in Performance Max, competitor campaigns with their own landing pages, and existing customers excluded.

  3. 03

    Optimise for verified leads

    One verified-lead definition replaced raw form fills, backed by data-layer and tag-manager event tracking. Platform-reported conversions became a directional signal only.

  4. 04

    Close the loop with the CRM

    Qualified leads and deal progress go back to Google Ads as offline conversions (paid clicks with a valid GCLID only), so bidding learns from pipeline. See the attribution design.

  5. 05

    Prune on revenue

    Joined spend with paying-customer data, found $63K of unproductive spend and paused ~49 zero-customer campaigns. Then replaced "zero customers" with a written, multi-metric pause rule plus a return-on-spend gate for country clusters.

  • Saadia Group

    $6M

    Performance budget managed at 10x+ ROAS, with spend aligned to revenue goals alongside Finance

  • Simplify Healthcare

    1,800+

    MQLs via LinkedIn and Google Ads, including 600+ from VP/C-level personas, while cutting CPL by 25%

  • Designerrs

    +36%

    ROAS on optimised Facebook and Google ad campaigns

Account-based marketing

Reach the right accounts at the right moment, with a message about outcomes rather than features.

CallHippo · 2026 · Pilot

Signal-based ABM & sales outbound

A marketing-led ABM motion run with the outbound sales team. Accounts are prioritised on live buying signals, and every touch is personalised to them. It started as a beta with a small group of SDRs and scales on measured response rates.

Process
14 steps
Channels
LinkedIn · email · ads
Rollout
Beta first

Simplify Healthcare · Demand generation

600+

MQLs from VP and C-level personas, part of 1,800+ MQLs from LinkedIn and Google Ads.

  • Targeting

    Signals, not lists

    Hiring, funding, expansion and LinkedIn activity signals map to specific message templates, with a fallback to proven volume templates if personalisation underperforms for a week.

  • Messaging

    Outcomes over "AI"

    We stopped leading with the AI label. Messages lead with productivity, revenue and analytics outcomes, adapted for each new market (UK, Australia, Philippines and Southeast Asia).

  • Plays

    A 14-step outbound sequence

    Trigger-signal messaging across LinkedIn and email. A warm-up on LinkedIn (connect, cool off, light engagement, then a DM only after warmth), LinkedIn company-list ads, and personalised landing pages, measured on demos booked.

  • Enablement

    Built for SDRs

    LinkedIn and email templates, case studies and tailored decks via Deck Composer, and a SaaS landing page. SDRs build personal LinkedIn brands as trusted voices, not as salespeople.

  • Measurement

    Attribution from day one

    HubSpot and Hyros track account-level touches, with agreed rules for crediting marketing versus outbound, so the pilot is judged on pipeline rather than activity.

  • Pilot in progress

    Account engagement results

    Accounts reached, engaged and moved to pipeline, added once the pilot has a full quarter of data.

Data & reports

Decisions start from the numbers. I build the systems that put them in front of leadership.

  • CallHippo · Led

    Marketing Command Center

    A single dashboard unifying pipeline, spend and channel performance for real-time decision-making.

  • CallHippo · Built

    Automated reporting

    30–40 hrs

    saved every month by reporting automation I built.

  • Simplify Healthcare

    Executive dashboards & CRM

    Built 5+ executive Looker Studio dashboards for the VP and leadership, and owned HubSpot CRM strategy and pipeline management for clear pipeline visibility.

  • Saadia Group

    Weekly executive reporting

    Weekly reports (Looker, Google Data Studio, Excel) for the Senior VP of Marketing and leadership, informing planning and forecasting.

CallHippo · Marketing intelligence · 2026

Attribution that teaches the ad platforms to buy pipeline, not form fills

I designed a measurement loop that connects ad clicks to CRM qualification and deal progress, then sends the paid outcomes back to Google Ads so its bidding learns from real pipeline. This shows the designed architecture; parts of it are still rolling out.

  1. 1 · Capture

    Website & forms

    • UTM parameters
    • Form fills & signups
    • GCLID + hashed contact details
  2. 2 · CRM

    HubSpot

    • Verified-lead check, junk removed
    • Qualification & demo booked
    • Deal stages & value
  3. 3 · Automation

    n8n

    • Picks up qualified leads & deal updates
    • Paid clicks with a valid GCLID only
    • Organic excluded to keep signals clean
  4. 4 · Ad platform

    Google Ads

    • Offline & enhanced conversions
    • Bidding learns from pipeline
    • Data-driven vs last-click reports
Two views of the same spend
Data-driven (primary)Last click (comparison)
CreditShared across touchpoints by modelled contributionAll credit to the final ad click
Used forBidding and budget splitA sanity check on the model
Guards againstUndervaluing non-brand and early-funnel adsOver-crediting brand search and retargeting
  • Revenue view. Billing data on new paying customers, joined to first-click attribution, gives cost per customer by campaign.
  • Data hygiene. A UTM clean-up fixed the source data that skewed channel reports.
  • One truth. CRM-verified leads are the KPI; platform-reported conversions are directional.

A decision the data drove

$63K of unproductive spend found, ~49 zero-customer campaigns paused

Joining Google Ads spend with new paying customers (first-click attribution, over 2 months) showed which campaigns had produced no new paying customers. I paused ~49 of them and moved pause decisions to a written, multi-metric rule rather than “zero customers” alone.

Unproductive spend found
$63K
Zero-customer campaigns paused
~49

Awards & publications

Awards our campaigns won, company honours during my tenure, and where our work was published.

Simplify Healthcare company recognitions during my tenure

These are company-level honours, listed for context.

Publications & media

At Simplify Healthcare, earned 10+ media features, including Fierce, Becker’s and DistilInfo, via Business Wire, AHIP and HPA releases.

Skills & tools

Most relevant for Head, VP and CMO roles, with an emphasis on AI-powered marketing.

Expertise

  • AI-Powered Marketing Core
  • Demand Generation & Pipeline Core
  • Budget Ownership & Unit Economics Core
  • Marketing Analytics & Attribution Core
  • AI search visibility (GEO/AEO) Core
  • CRM & RevOps Core
  • Team Leadership Core
  • PLG / Self-Serve Growth Core
  • Performance Marketing
  • SEO & AEO/GEO
  • ABM
  • CRO & A/B Testing
  • CRO & Experimentation
  • Lifecycle & Marketing Automation
  • Marketing Automation
  • Email & WhatsApp Lifecycle
  • Partner & Affiliate Programmes
  • Brand & Positioning
  • Product Marketing
  • AI Video & Creative
  • Website Localisation
  • Sales–Marketing Alignment

Tools

Paid ads

  • Google Ads (Search, PMax, Display)
  • Meta Ads
  • LinkedIn Ads
  • Bing Ads
  • ChatGPT Ads

Analytics, UX & site performance

  • GA4
  • GTM
  • Looker Studio
  • Google Data Studio
  • Power BI
  • Excel
  • Hyros
  • Microsoft Clarity
  • DebugBear

SEO

  • Ahrefs
  • Surfer SEO
  • Screaming Frog
  • Serprobot
  • Google Search Console
  • Bing Webmaster Tools
  • LinkPublishers

AI search visibility (GEO/AEO)

  • Promptwatch
  • RadarKit

CRM, revenue & partners

  • HubSpot
  • Chargebee
  • PartnerStack
  • FirstPromoter
  • Calendly
  • Apollo
  • ZoomInfo
  • Snov.io

Email, lifecycle & outreach

  • Brevo
  • Warmbox
  • Lemlist
  • AiSensy (WhatsApp)

AI & content quality

  • Claude
  • n8n
  • Grammarly
  • Quetext
  • ZeroGPT
  • GPTZero
  • Zoho Creator

Product marketing, creative & webinars

  • Storylane
  • Product Fruits
  • Zoom Webinars
  • Synthesia
  • Creatify
  • Fiverr
  • Cvent
  • Jotform

Social, reviews & listening

  • SocialPilot
  • YouTube
  • Octolens
  • G2
  • Capterra
  • Trustpilot

Web, CRO & localisation

  • WordPress
  • VWO
  • OptinMonster
  • Weglot

Automation & workspace

  • Zapier
  • Gmail
  • Notion
  • Basecamp
  • Outline

Product

  • CallHippo
  • ControlHippo

Career

Most recent first. From software engineering to leading marketing.

  1. Mar 2026 – Present

    Head of Marketing

    CallHippo

    Own end-to-end marketing with a ~$1M annual budget and a team of ~8 (up to 13); accountable for self-serve revenue. Self-serve new MRR up ~27% (Q1 to Q3); self-serve now drives ~60% of new customers.

  2. May 2024 – Mar 2026

    Digital Marketing Manager

    Simplify Healthcare · Remote

    Led a team of five; delivered 1,800+ MQLs, including 600+ from VP/C-level personas, while cutting CPL by 25%. Led Connect 2025 for +30% YoY registrations.

  3. Dec 2022 – Apr 2024

    Digital Marketing Manager

    Saadia Group (New York & Co. / Lord & Taylor / Fashion to Figure)

    Managed a $6M performance marketing budget at 10x+ ROAS; grew organic traffic 30%+ and improved conversion rates 12% through structured A/B testing.

  4. Aug 2021 – Nov 2022

    Marketing Manager

    Inference Labs · Bengaluru

    Led a team of 5 on growth for a Converse AI SaaS platform: 30% bi-annual revenue growth and 8x new-user growth.

  5. Jun 2020 – Aug 2021

    Marketing Consultant & SEO Expert

    Designerrs | UI UX Design Lab · Bengaluru

    Rebranded the company from logo to website; +36% ROAS on Facebook and Google ads.

  6. Jul 2019 – Jun 2020

    Marketing Specialist

    Stealth AI Startup

  7. 2014 – 2019

    Early Career — Engineering & Sales Roles

    Software engineering, sales engineering and sales & marketing roles

Company honours during my tenure

  • Fortune America's Most Innovative Companies 2025
  • Fortune America's Most Innovative Companies 2024
  • Inc. 5000 Honor Roll 2025
  • Inc. 5000 Honor Roll 2024
  • Crain's Chicago Business Fast 50, 2024
  • BIG Awards for Business 2025
  • BIG Awards for Business 2024
  • BIG Innovation Awards 2026
  • BIG Innovation Awards 2025
  • IDC MarketScape Leader, 2025–2026

Brand · Web · CRO

New website & brand refresh

A homepage A/B test lifted conversion from ~2% to ~3%. Drag the slider to compare the first screen, then scroll for section-by-section comparisons.

Hero / landing

The first screen moved from a generic slogan to a sharper product promise, with a 10-day free trial sitting in the hero.

After: current CallHippo homepage hero, headline 'More Conversations. Less Chaos.' with an email field and Start Free Trial button.
Before: CallHippo homepage on 1 February 2026, headline 'Do More. Be More. With AI-Driven Communication Automation Platform.'

Messaging

The platform line tightened from a broad “connect & grow” claim to a more concrete promise: one platform for calls, messages, and AI.

Before
Before: 'One unified platform to connect & grow' with Business Phone System and AI Voice Agent cards.
After
After: 'One platform for all your conversations' with a product-suite switcher for phone, AI agent, inbox, copilot and dialer.

Social proof

The same outcome stats — 48% revenue, 4× conversions, 67% efficiency, 34% cost savings — were restyled and brought closer to the hero, with customer logos still carrying the “trusted by 5,000+ companies” line.

Before
Before: customer logos under 'Trusted and loved by 5,000+ companies', then a grey stats band for 48%, 4x, 67% and 34%.
After
After: the same 48%, 4x, 67% and 34% outcome stats, set in a cleaner typographic row under 'Trusted and loved by 5,000+ companies'.

Call to action

The main action moved into the hero as an email field plus Start Free Trial, with “Free for 10 days. No credit card required,” instead of a mid-page banner alone.

Before
Before: a dark mid-page banner reading 'Your business phone system is just two minutes away' with a Start Your Free Trial button.
After
After: hero headline with an email field, Start Free Trial button, 10-day free trial note, and review scores.

Before is a Wayback Machine snapshot of callhippo.com from 1 February 2026, 5:41 PM IST (12:11 UTC). After is the live homepage, captured 14 November 2026. The new headline already appears in a 5 February 2026 capture. Tenure at the company began in March 2026, so the “before” snapshot is from just before that role started.

Demand gen · Interactive tool

Connect-rate ROI calculator

Three steps, about a minute. Enter a team profile, toggle features, and see a before-versus-after connect rate and revenue estimate. This is an in-page replica of the calculator; figures are indicative.

Your business profile

We’ll use these numbers to estimate a baseline connect rate and revenue opportunity.

Don’t know your rate? Use a benchmark

    Step 1 of 5