Zeer Emarsys / intent / emarsys

Emarsys

501-1000 employees·Vienna, Wien, Austria·emarsys.com

Observed, not inferred · updated weekly

Buying intent

89 tracked signals | Top 15 topics are below | Marketing and Sales are carrying most of it.

56signals · 30 days
47topics tracked
72.97%attributed to a team

Attention by team

LinkedIn activity, by team

Where Emarsys's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Customer Engagement
Agentic AI System
Customer Loyalty
Conversational AI
Generative AI
Marketing
Medium25% of team Marketing to Artificial Intelligence: Medium, 25% of this team's signals
Medium17% of team Marketing to Customer Engagement: Medium, 17% of this team's signals
Medium17% of team Marketing to Agentic AI System: Medium, 17% of this team's signals
Medium25% of team Marketing to Customer Loyalty: Medium, 25% of this team's signals
Low8% of team Marketing to Conversational AI: Low, 8% of this team's signals
Low8% of team Marketing to Generative AI: Low, 8% of this team's signals
Sales
High50% of team Sales to Artificial Intelligence: High, 50% of this team's signals
Sales to Customer Engagement: no signal
Low8% of team Sales to Agentic AI System: Low, 8% of this team's signals
Sales to Customer Loyalty: no signal
Medium25% of team Sales to Conversational AI: Medium, 25% of this team's signals
Medium17% of team Sales to Generative AI: Medium, 17% of this team's signals
Support
Medium67% of team Support to Artificial Intelligence: Medium, 67% of this team's signals
Low33% of team Support to Customer Engagement: Low, 33% of this team's signals
Support to Agentic AI System: no signal
Support to Customer Loyalty: no signal
Support to Conversational AI: no signal
Support to Generative AI: no signal
Others
High40% of team Others to Artificial Intelligence: High, 40% of this team's signals
Medium30% of team Others to Customer Engagement: Medium, 30% of this team's signals
Medium20% of team Others to Agentic AI System: Medium, 20% of this team's signals
Low10% of team Others to Customer Loyalty: Low, 10% of this team's signals
Others to Conversational AI: no signal
Others to Generative AI: no signal
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
3d ago
Customer Engagement
LinkedIn
Medium volume
96%
last
9d ago
Agentic AI System
LinkedIn
Medium volume
97%
last
3d ago
Customer Loyalty
LinkedIn
Low volume
96%
last
9d ago
Conversational AI
LinkedIn
Low volume
96%
last
3d ago
Generative AI
LinkedIn
Low volume
98%
last
12d ago
AI Agent Software
LinkedIn
Low volume
92%
last
3d ago
Machine Learning
LinkedIn
Low volume
96%
last
12d ago
Customer Data
LinkedIn
Low volume
96%
last
12d ago
Go to Market
LinkedIn
Low volume
98%
last
4d ago
AI Governance
LinkedIn
Low volume
98%
last
12d ago
Sales Enablement
LinkedIn
Low volume
98%
last
4d ago
Career Development
LinkedIn
Low volume
98%
last
18d ago
Voice AI Platforms
LinkedIn
Low volume
98%
last
3d ago
Digital Transformation
LinkedIn
Low volume
98%
last
12d ago

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Who's active at Emarsys

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others7 active
Executiveresearching Artificial Intelligence
in
Executiveresearching AI Transformation
in
Leadershipresearching Software Development
in
Senior ICresearching Artificial Intelligence
in
Senior ICresearching Customer Engagement
in
VPresearching Agentic AI System
in
Sales6 active
VPresearching Conversational AI
in
researching Omnichannel Marketing
in
Global Vice President of Sales
VPresearching Work–Life Balance
in
Regional Vice President of Revenue | Americas
VPresearching IT security
in
SVP Revenue & Managing Director - EMEA
VPresearching Career Development
in
+ 3 more in Sales
Marketing5 active
Sr. Growth Marketing Manager, North America & LATAM
Senior ICresearching Customer Loyalty
in
Enterprise Growth Consultant
researching Customer Relationship Management (CRM)
in
demand generation manager
researching Customer Engagement
in
Customer Marketing Specialist
researching Product Marketing
in
Senior Manager, Marketing Automation and Digital Operations
Senior ICresearching Artificial Intelligence
in
+ 5 more in Marketing
Support1 active
Client Success Director MEE
Directorresearching Artificial Intelligence
in
+ 1 more in Support

See everyone, not just the first 10

19 people across every department at Emarsys, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

SAP Engagement Cloud (formerly SAP Emarsys) helps organizations power unique engagement by connecting real-time customer insights with the operational signals that run the business. As part of the SAP Customer Experience (CX) portfolio, Engagement Cloud enables personalized, AI-driven interactions across every channel—turning moments like orders, service events, and loyalty milestones into timely,

New capability sought

Employee posts (LinkedIn)

AI Agent Software; AI Governance; Career Development; Conversational AI; Customer Data; Digital Transformation; Future of Work; Machine Learning

Top accounts researching Emarsys

names withheld on the public page

These are companies whose own people brought up Emarsys unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

129,094 companies · 649,540 people are researching Artificial Intelligence

Emarsys's own team shows 15 signals on this topic. No one outside Emarsys has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.

  • Customer Engagement1,871 cos · 5,437 people
  • Agentic AI System30,546 cos · 119,561 people
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Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Emarsys.

Company size breakdown
Buyer seniority mix

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Buying committee functions

Employee job titles (LinkedIn)

Sales — 6 people; Marketing — 5 people; Leadership — 1 person; Engineering — 1 person

What's been said

public posts by Emarsys's team

No public post naming Emarsys has surfaced in the past year, so this is what Emarsys's own team is posting about publicly — their topics, in their words.

LinkedIn

The average Mexican buyer consults approximately 3.7 channels before making a purchase, yet most brands still operate as if the journey happens in a single channel. Walk into most retail organizations, and you will find out exactly why. A digital team chasing online conversion. A store team protecting in-store revenue. A logistics function trying to hit its own targets. Everyone is optimizing for their own channel while the customer moves freely across all of them. I talked with ► Pierre-Claude BLAISE on #EcommerceRockstars by Asociación Mexicana de Venta Online "AMVO" about this and what I keep seeing in the brands getting this right: 🔹One person who owns the full customer lifecycle, with KPIs tied to retention and LTV, not channel performance. 🔹A single customer profile every team reads from, not five systems with five different versions of the same person. 🔹Compensation tied to customer behavior, not channel behavior. Change this, and everything else follows. #HotSale2026 next week will be a stress test for brands, because peak events do not create the gaps; they just make them impossible to hide. Tune in to the full conversation to go deeper on this before it starts: 🎧Spotify: https://hubs.ly/Q04gH_k_0 ▶️YouTube: https://hubs.ly/Q04gHCPd0 #AMVO #eCommerceRockstars #HotSale #SAP #CustomerExperience

May 2026
LinkedInArtificial Intelligence

Good to be back at the RevOps and Enablement London meetup yesterday. What kept hitting me through the evening: more Sales Support folks are now framing their work as part of one connected revenue system, not a siloed function. The boundary between enablement, ops, and frontline execution is fading fast 🏃♂️➡️ AI is the real equaliser. It's forcing a GTM engineering mindset into roles that historically sat disconnected downstream of strategy, and the people leaning into that shift are gaining some serious leverage. Great to catch up with some familiar faces yesterday Wikus du Rand , Veronika M. , Dan Wetton and Gill. Great co-hosting with Edoardo Romani Looking forward to the next one 🗓️

May 2026
LinkedInArtificial Intelligence

Excited to see the London RevOps and Enablement community tomorrow after work. The venue is already at capacity, so comment or dm me if you would like to join but haven’t registered yet ⬇️ Edoardo Romani and I are looking forward to many familiar faces 👋 Here are some of my top of mind topics these days: - enabling field teams on product releases as the pace of innovation increases - regular audit framework for applied AI usecases across GTM tasks See you soon. Revenue Operations Alliance Sales Enablement Collective

May 2026
LinkedIn

For the first few years of my career, every Monday morning I analysed over 200 product lines. Sales performance. Stock levels. Pricing against competitors. Then I'd make adjustments and feed decisions up the chain. It was manual, slow, and imperfect. What it wasn't, was pointless. All of that analysis was the input to real commercial decisions. Decisions that had to be made by someone who understood context, not just data. Who knew the supplier was under pressure. That the promotion had been planned six months ago and the market had moved. That the stock sitting in the warehouse was going to be a problem in three weeks. Later, I invested time in creating a standardised set of reports to replace the different versions each team was running manually. Removed hours of wasted effort. Eliminated errors. Improved consistency. That was efficiency. It was worth doing. But it wasn't strategy. The strategy was what happened with the time and attention that got freed up. If you create the efficiency and stop there, you've just made the spreadsheet faster. You haven't built anything. The most dangerous framing in AI right now is treating efficiency as the destination. It's not the destination. It's what you do to create the space. Most AI strategies don't have an answer for what goes in that space. They need one.

May 2026
LinkedIn

If you're in Orlando at SAP Sapphire 2026... missing this session would be a major bogey.🏌️♂️ Kelsey Jones and Mark Shannon are unpacking how the PGA European Tour rebuilt their engagement foundation from the ground up and what's possible when AI is actually part of the game plan. 📍 Teeing up scale: AI-enabled fan engagement with the PGA European Tour 🗓️ Wednesday, May 13 | 10:30 AM Grab your spot 👉 https://bit.ly/4wnn4fz #SAPSapphire2026 #SAPGetSocial

May 2026
LinkedInArtificial Intelligence

Well this is going to be fun… and super useful. As AWS Summit week hits Sydney, Matthew Gray and James Ford are in town for a curated Postman x Amazon Web Services (AWS) session focused on where APIs and AI are creating real enterprise opportunity across ANZ. Expect practical conversations, a look at how Postman + AWS are helping enterprises simplify the chaos, without the boring demos or corporate theatre. And a fun midweek drinks - I’ll be there, let’s catch up 🍻. Save your spot, I promise it will be a goodie! https://lnkd.in/g5mvKNeF

May 2026
LinkedIn

Earlier in my career, we tried to simplify a technology stack and made everything more complicated. We were consolidating two parts of a business onto a single platform. One of those teams had their own system. One they'd built, understood, and trusted. We had a newer application on the other side. The logical move was to consolidate and remove the legacy one. We couldn't bring that team with us. They pushed back hard. We hadn't managed to show them clearly enough what the alternative looked like for them, what they'd gain, not just what they'd lose. So we made the pragmatic call. We kept both systems running. It made the entire process more complicated. The workaround became the problem. I've watched the same pattern in nearly every AI deployment I've been close to since. The technology decision gets made on paper: substitution, simplification, consolidation. The human adoption doesn't get designed for. And then the unofficial workaround appears and quietly makes everything worse. You can replace a system without winning a single person over. But you can't get the benefit of that replacement without them. That's not a people problem. It's a sequencing problem.

May 2026
LinkedInArtificial Intelligence

Hamburg, here I come! 🙌 OMR is always a highlight — I love the energy of the event and this year I get to host a masterclass alongside two brands doing really interesting work right now: s.Oliver Group and Müller Holding GmbH & Co. KG. The question they’re answering isn’t new, but the stakes have never been higher — how do you deliver seamless, personalized, real-time experiences across every channel, consistently, and at scale? Talking about it is one thing. Building the capability to execute it is another. We’ll be getting into the detail of how both companies are using SAP Engagement Cloud and AI-driven engagement to close that gap. We’ll explore how to: → turn data into real-time action → automate intelligently across the customer journey → and build loyalty through consistent, relevant interactions What makes this session different: real-world use cases and practical insights you can apply immediately. 📍 Masterclass: How To Scale Personalized Customer Engagement and Loyalty with AI May 5 | 12:00–13:00 I📌 Track 04 Register now: https://lnkd.in/dRayN2fp If you're looking to take customer engagement and loyalty to the next level with AI — don’t miss it. Looking forward to the conversation. #OMR2026

Apr 2026
LinkedInGoogle Cloud

After a brief hiatus to become a parent, I'm back at work and back on the conference trail attending my first #GoogleCloudNext . And it seems in my three months away, AI has taken the world even more by storm. It seems there is now an AI tool or solution for everything. But, it's also overwhelming and it's got me thinking about how marketers don’t need more tools - they need better execution. That’s why this SAP × Google Cloud announcement is such a milestone. Multi‑agent AI, grounded in trusted enterprise data and activated through SAP Engagement Cloud, enables marketing teams to execute faster, optimize continuously, and deliver more relevant customer experiences at scale. This is exactly how SAP Customer Experience helps turn intelligence into impact across the entire customer journey. I'm looking forward to some great content and making some great connections. Let me know if you'll also be in Las Vegas and let's connect! 👉 https://bit.ly/4sRpobQ #SAPGetSocial

Apr 2026

About this data. Emarsys (emarsys.com). Department attribution is 72.97%; remaining activity is grouped under Others. Updated 2026-09-25T18:00:10.181Z.

Not yet computedPer-team narrative summaries