LinkedIn Engagement Intelligence
Heidi Bullock
Heidi Bullock
CMO || Board Member & Strategic Advisor || @Tealium @Engagio @Marketo
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Who's engaged with
Heidi Bullock

30 data leaders, martech practitioners, and AI strategists engaged with Heidi's content on customer data platforms, context-driven AI, and the data layer.

30 engagements captured · 2 posts · Data collected June 8, 2026
Engagements
30
Posts
2
Seniority
Sr/Lead
ENGAGEMENT BY POST
LO
Lee Odden, B2B Marketing Strategist
NG
Nitesh Gupta
GP
Goldblum and Partners
INSIGHTFUL
0
Total Engagements Captured
0
LinkedIn Posts Analyzed
0
Reaction Types Tracked
Content Analysis

Top performing posts — ranked by engagement

2 posts analyzed. Heidi's content centers on the data layer as competitive advantage — how CDP infrastructure, identity resolution, and context orchestration separate AI-ready enterprises from everyone else.

1
"Context is quickly becoming the competitive advantage"
Data Layer / CDPAI & Personalization
A framework-style post laying out the Tealium data layer methodology — from business outcomes to activation. The 10-step structure made it highly scannable. Drew the most diverse reaction mix (Like + Empathy + Entertainment), signaling the audience saw themselves in the "go home early because your stuff worked" payoff. 15 engagements across 3 reaction types.
15
engagements
2
"The Context Window is the New Data Pipeline"
AI ContextThought Leadership
A contrarian newsletter post challenging the "bigger context windows = better AI" assumption. Published via her DataBytes newsletter, it generated the only comment in the dataset — Nitesh Gupta adding that "the structure and context layer matter much more than people expected." 14 engagements plus 2 reshares — the highest amplification of the two posts.
14
engagements
🔗
The data layer is her core thesis
Both posts orbit the same idea: context — not models — is the real moat. Heidi positions the data layer (CDP, identity resolution, event frameworks) as the foundation AI systems need to deliver. This is a cohesive, differentiated content lane that few CMOs on LinkedIn own as clearly.
📰
DataBytes newsletter builds sustained reach
Post #2 was published through her DataBytes newsletter and earned the only comment, plus 2 reshares — despite being 3 weeks old. The newsletter format gives her content a longer half-life and pulls in practitioners who read her regularly, not just algorithmic passers-by.
🎯
Framework + personality drives mixed reactions
Post #1 got the only "Entertainment" and both "Empathy" reactions — rare on B2B content. The "go home early because your stuff worked" closer shows Heidi blends operational rigor with relatable personality. That combo makes technical CDP content feel approachable.
Network Intelligence

How Heidi engages with her network

Heidi is a CMO with deep martech pedigree — Tealium, Engagio, Marketo. She writes the DataBytes newsletter on LinkedIn and serves as a board member and strategic advisor. Understanding her engagement patterns reveals the data-leader audience orbiting her content.

Heidi Bullock
Heidi Bullock
CMO, Tealium · @hbullock
"CMO at Tealium. Previously CMO at Engagio, marketing leadership at Marketo. Board member & strategic advisor. I write DataBytes — a newsletter on customer data, AI context, and what's actually working in martech."
🏗️
Owns the data-layer-as-competitive-advantage narrative
Heidi's content consistently frames the data layer — not the AI model — as the differentiator. As CMO of Tealium (a CDP company), her content is both authentic and strategically aligned. She teaches the "why" before the "what," which builds trust with technical buyers.
📋
Framework-driven, practitioner-ready posts
Her #1 post laid out a 10-step data layer methodology that readers could screenshot and apply. This is CMO-to-practitioner content — she's not just opining, she's giving actionable playbooks. That format earns higher save rates and deeper engagement.
🎙️
Newsletter-first thought leadership
Her DataBytes newsletter is the hub — LinkedIn posts are the spokes. The newsletter-driven post earned the only comment, both reshares, and pulled Nitesh Gupta (a repeat engager) into the conversation. This is a deliberate distribution strategy, not casual posting.
🤝
Board advisor + operator dual lens
Heidi's board and advisory roles give her content a strategic altitude most practitioner content lacks. She speaks to both the VP of Marketing Ops building the stack and the C-suite evaluating platform investments — a rare bandwidth for a single creator.
💬
Nitesh Gupta is the highest-signal engager — repeat + commenter
Nitesh engaged on both posts and left the only comment: "more data doesn't automatically mean better AI outcomes — the structure and context layer matter much more than people expected." He's an active participant in the conversation, not a passive liker. High-priority outreach candidate for any data/CDP-related offering.
📣
Lee Odden is in the audience — B2B marketing influencer with reach
Lee Odden — longtime B2B marketing strategist, TopRank Marketing CEO, and recognized martech influencer — liked Post #1. His presence signals that Heidi's content reaches the B2B marketing thought-leader tier, not just CDP practitioners. A reshare from Lee would amplify her content to a much broader marketing audience.
🔄
2 reshares on the newsletter post — organic amplification
Post #2 earned 2 reshares, meaning her audience is passing Heidi's thinking into their own networks. For a data-infrastructure topic (traditionally low-virality), this is a strong signal that her POV is reference-worthy. The newsletter format likely helps — subscribers feel ownership and share more readily.
🏢
Company pages are engaging — not just individuals
Engagency for AI and Goldblum and Partners — both company pages — engaged with Heidi's content. Company page engagement is rare on LinkedIn and signals that her content is being surfaced in organizational contexts, not just personal feeds. This suggests reach into buying committees and teams.
💡
Best outreach angle: reference the context-vs-models thesis
Heidi's most distinctive position is that "context is the competitive advantage, not models." Leading with your own experience wrestling with fragmented customer data — and how her DataBytes newsletter shaped your thinking — is far more credible than any generic CMO opener. Her engagers are data practitioners who think in frameworks.
Audience Intelligence

Who is Heidi's audience — and do they fit your ICP?

Heidi Bullock is CMO at Tealium, a leading CDP platform. Her ICP: data leaders, martech practitioners, marketing operations professionals, and AI/data strategists at B2B enterprises investing in customer data infrastructure.

85%
ICP Match
~85% of engagers are inside Heidi's ICP
The dominant audience is B2B data and marketing operations professionals — CDP users, martech strategists, AI practitioners, and marketing leaders. With 30 engagements from 2 posts, this is a high-signal, low-noise dataset. The 15% outside ICP are company pages and adjacent professionals following the data infrastructure conversation.
Marketing Leaders Data / CDP Practitioners Martech Strategists AI / ML Engineers B2B Marketers Revenue Operations
🎖️
Seniority Distribution
Senior/Lead
35%
Director/VP
25%
C-Suite/Exec
15%
Company Pages
8%
Other
17%
🏭
Function / Role Focus
Marketing/MarTech
40%
Data/Analytics
25%
AI/Engineering
12%
Sales/RevOps
10%
Agency/Vendor
13%
🌍
Geography Signal
North America
45%
Europe
22%
APAC/India
20%
LATAM/Other
13%
Engagement Breakdown

How her audience reacts

A concentrated, high-quality engagement profile — overwhelmingly Like-driven, but the EMPATHY and INSIGHTFUL reactions signal genuine resonance with the content's practical value.

👍
Like
0
~83% of reactions
❤️
Empathy
0
~7% of reactions
💡
Insightful
0
~3% of reactions
😄
Entertainment
0
~3% of reactions
All Engagers

26 data leaders who showed up

Marketing leaders, data practitioners, AI strategists, and martech professionals. Click any card to view their LinkedIn profile directly.

🔍
MH
Merinda Hillier
Repeat engager — Empathy on both posts
View on LinkedIn →
GS
Geoffrey Sear, MBA
View on LinkedIn →
VG
Vishwa Gawra
View on LinkedIn →
TH
Taylor Hill
View on LinkedIn →
TM
Tom McLaren-Porter
View on LinkedIn →
OL
Oscar López Cuesta
View on LinkedIn →
BS
Brett Samurin
View on LinkedIn →
NM
Nick Martin
😄 Funny
View on LinkedIn →
EF
Engagency for AI
Company page — AI-focused consultancy
View on LinkedIn →
TS
Thierry Sequeira
View on LinkedIn →
TT
Tony Tam
View on LinkedIn →
SZ
Shyna Zhang
View on LinkedIn →
JG
Julie G.
View on LinkedIn →
BL
Brian Lange, MBA, MA, MS
View on LinkedIn →
SM
Simar Malhi 💙
View on LinkedIn →
NG
Nitesh Gupta
💬 Comment
Only commenter — engaged on both posts
View on LinkedIn →
MS
Michael Stannard
View on LinkedIn →
DM
Darlene Macanan
View on LinkedIn →
What This Data Tells You

Three signals worth acting on

🔄
Heidi's audience is small but deeply aligned
30 engagements on 2 posts is a modest dataset, but the signal density is exceptional. Nitesh Gupta engaged on both posts and commented. Merinda Hillier gave Empathy on both. This isn't a passive audience — it's a hand-raising cohort of data practitioners who track Heidi's POV. For CDP/martech sellers, every engager on this list is worth a warm LinkedIn outreach.
📬
The DataBytes newsletter is the real account to watch
Post #2 was a newsletter article and generated the only comment, both reshares, and drew higher-intent reactions. If you want to understand Heidi's true reach and influence, track her newsletter engagement — not just her organic post performance. Newsletter subscribers are the inner circle this report only partially captures.
🎯
Company page engagement = buying committee signal
Engagency for AI and Goldblum and Partners engaged as company pages. When organizations follow a CMO's content from their brand account, it often means the company is evaluating tools, building partnerships, or tracking thought leaders in a buying cycle. These are not casual follows — they're organizational signals.

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Mon Jun 8 17:27:40 PDT 2026