Martech

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This is a curated, growing list of leaders in marketing technology, often called Martech. It helps marketers quickly identify the people who shaped the discipline, built foundational platforms, and continue influencing how Martech stacks are designed and used today.

This is a living reference list. Leaders are selected based on ecosystem influence, category creation, platform leadership, research, and education. If someone is not currently active, birth and death dates will be included to provide historical context.

Martech Leaders

Suggestions and updates

This is a living list. If you believe someone belongs in this Martech Who’s Who, recommendations are welcome. Please include the person’s name, why they belong, and one link that best represents their work today.

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If you work in digital analytics or martech long enough in Utah County, you start to see the same names show up again and again: Omniture, Adobe, Domo, ObservePoint. What looks like a list of separate companies is really a connected story about how platforms evolve, how partners emerge, and how cooperation and competition often happen at the same time.

Let’s use the relationship between Adobe and ObservePoint as a simple case study in “coopetition” and game theory. The goal is not to predict their exact strategies, but to give marketers a clearer way to think about platform decisions, integrations, and why your favorite tools sometimes get embraced and other times get quietly replaced.

The Utah analytics lineage: Omniture → Adobe, Domo, ObservePoint

Omniture was one of the foundational companies in the web analytics space, and its acquisition by Adobe helped anchor a major analytics and marketing technology presence in Utah County. After the acquisition, talent and leadership from Omniture spread into new ventures, including Domo and ObservePoint.

Adobe became the home for enterprise analytics and experience tools like Adobe Analytics, Adobe Launch, and Customer Journey Analytics. ObservePoint, built by leaders with deep Omniture roots, focused on a complementary problem: making sure data collection actually works. That means automated tag auditing, data quality checks, and ongoing monitoring so that the numbers inside Adobe Analytics are trustworthy.

On paper, this looks like a classic complementary relationship. Adobe helps brands collect, analyze, and activate data. ObservePoint helps brands make sure that data is accurate. But under the surface, there is always a strategic question. This isn’t a story of conflict—platforms and partners often create enormous value together even while navigating natural tensions.

Should a platform like Adobe:

1. Stay open and lean on partners like ObservePoint
2. Or build more of those capabilities internally over time

Cooperation and competition in a simple game

We can describe this tension with a very simple two player game.

Player one is ObservePoint. Its main decision in this context is how much to invest in deep integration with Adobe. That includes building robust APIs, advanced auditing for Adobe tags, and tight workflows around Adobe Analytics and Customer Journey Analytics.

Player two is Adobe. Its main decision is how open to be as a platform partner. Adobe can keep APIs open, promote partners, and design its roadmap around an ecosystem. Or it can build more internal data quality and tag auditing features that compete with partners over time.

Here is a simple way to think about their choices.

	Adobe stays open to partners	Adobe builds more internal tools
ObservePoint invests deeply in Adobe integrations	(high value for both)	(great for Adobe, risky for ObservePoint)
ObservePoint keeps integrations more minimal	(good but not great for both)	(lower value for both)

When both sides lean into partnership, marketers get strong integration, better data quality, and a healthier ecosystem. When Adobe internalizes too much or ObservePoint under invests in integration, the value to marketers is lower, even if it feels safer in the short term to each company.

What this means for marketers

It is easy to assume platform decisions happen in a vacuum, but they rarely do. Companies like Adobe and ObservePoint are constantly weighing:

1. How much value a partner adds to the platform
2. How difficult that functionality would be to build in house
3. How much customers associate the benefit with the platform versus the partner
4. How much revenue and retention is at stake if the partnership grows or shrinks

For marketers and analytics leaders, this has a few practical implications.

First, deep integrations are not just technical conveniences. They are signals that incentives are aligned. When a platform and a partner make it easier to work together, they are often saying that they see long term mutual value in the relationship.

Second, you can often feel when the relationship is shifting. Fewer joint webinars, less co marketing, slower integration updates, or a sudden new native feature that looks a lot like a partner product are all signs that the game behind the scenes has changed.

Third, it is smart to design your measurement stack with these dynamics in mind. If a critical capability is provided only by a partner that feels strategically fragile, you should at least be aware of that risk and have a plan B over a multi year horizon.

Game theory without the jargon

In formal game theory language, platforms and partners are often stuck between what is called a Nash equilibrium and a socially optimal outcome.

The Nash equilibrium is the combination of strategies where neither side has an incentive to unilaterally change its decision. It is stable, but not always ideal for customers.

The socially optimal outcome is the combination of strategies that create the most total value for everyone involved, including the end customer. It is often more collaborative and more integrated, but it can be fragile if the incentives are not well aligned.

In the Adobe and ObservePoint story, the socially optimal outcome is the world where Adobe stays open and supportive of partners, and ObservePoint invests deeply in making Adobe data more accurate, actionable, and reliable. That is also the world where marketers get the strongest combined solution.

The strategic question is whether the incentives on both sides are strong enough to keep them there.

How platforms can keep cooperation sustainable

For cooperation to last in a relationship like Adobe and ObservePoint, both sides need to see more upside from partnering than from going their own way.

That usually means things like:

1. Clear revenue impact that can be tied back to the partnership
2. Integration depth that would be expensive to rebuild internally
3. Joint marketing and sales motions that benefit both companies
4. A customer story that is stronger together than either product alone

The more these conditions hold, the more the ecosystem behaves like a collaborative, high value game rather than a short term competition.

Why this matters for your own stack

You do not need to be Adobe or ObservePoint to apply this thinking. Any time you are building a marketing or analytics stack, you can ask a few simple questions.

1. Which tools are true platforms, and which are plug in partners
2. Where are incentives strongly aligned, and where are they more fragile
3. If one partner disappeared or got acquired, what breaks in your stack
4. Where can you lean into deep integrations that are likely to be supported for years

Thinking this way will not predict every roadmap change or acquisition, but it will help you design a more resilient measurement strategy and avoid being surprised when platform relationships evolve.

For me, the Adobe and ObservePoint story is a great example of how local Utah County companies can shape global martech while still reflecting very human, understandable trade-offs. Underneath all the platform terminology and economics, it is really just about two companies deciding when to cooperate, when to compete, and how much they believe they can win together.

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Overview

Source: MarTech Intelligence Report: Customer Data Platforms — A Marketer’s Guide (Third Door Media / MarTech.org)
Date Published: November 2024
Audience: Marketers evaluating or implementing customer data platforms (CDPs).
Data Sources Cited: Vendor surveys, industry analyst insights, and case studies from CDP providers.

This guide provides an in-depth overview of the CDP market, including platform capabilities, selection criteria, vendor comparisons, and implementation best practices. It is part of an annually updated series of MarTech Intelligence Reports.

Actionable Tips

1. Define clear business use cases for a CDP before evaluating vendors. Know whether you need better personalization, data unification, or audience segmentation.
2. Engage IT and marketing together early in the CDP evaluation to align requirements, budgets, and data governance needs.
3. Prioritize integration capabilities. A CDP’s value depends on how seamlessly it connects to your CRM, ad platforms, and analytics stack.
4. Evaluate vendor support and onboarding resources. A CDP without proper training and technical support will slow adoption.
5. Consider scalability. Choose a platform that can handle your current data volume and projected growth over the next 3–5 years.
6. Look at real-time capabilities. The faster data flows into and out of the CDP, the more effective your personalization and campaign execution will be.

Pro Tip: Run a pilot program with a single use case (e.g., abandoned cart retargeting) before fully committing to a vendor.

Key Stats and Sources

According to industry surveys cited in the report, 62% of marketers say customer data management is their top challenge, and CDP adoption has grown by more than 25% year-over-year. MarTech and vendor case studies highlight increased ROI through improved personalization and reduced data silos.

Examples You Can Steal

A retailer used a CDP to unify offline and online purchase data, enabling more accurate customer lifetime value scoring. Another brand leveraged real-time CDP data to trigger personalized email offers within minutes of site abandonment.

How To Apply This Fast

Today: Audit your current data sources (CRM, website analytics, ad platforms) to identify gaps and overlaps that a CDP could help solve.

This month: Meet with IT and marketing stakeholders to draft your top three use cases and create an evaluation checklist for potential vendors.

Bold Claims and Counterpoints

Claim: CDPs eliminate all customer data silos.
Counterpoint: They reduce silos significantly, but complete elimination depends on disciplined data governance and consistent integration.

Claim: Every enterprise marketer needs a CDP.
Counterpoint: Smaller teams may achieve sufficient results with existing CRM or marketing automation platforms.

Claim: Real-time CDP data guarantees better personalization.
Counterpoint: Speed helps, but without a solid personalization strategy, real-time data alone won’t improve outcomes.

Metrics That Matter

Track unified customer profiles created, percentage of data sources integrated, segmentation accuracy, campaign engagement lift, and time-to-insight improvements after implementation.

What Is Missing or Caveats

The guide highlights leading vendors but may not fully capture emerging CDP startups. It also emphasizes U.S. market data, so international teams should validate applicability. Cost estimates vary widely and may not reflect all implementation complexities.

One-Sentence Takeaway

A CDP can unify data and unlock personalization, but its success depends on defined use cases, cross-team alignment, and disciplined execution.

References and Resources

Read the full MarTech Intelligence Report on Customer Data Platforms

MarTech.org — Marketing Technology Insights

Customer Data Platform Institute

Gartner Insights on Customer Data Platforms

Reading Time: 4 minutes

Choosing a new project management (PM) tool can feel overwhelming. There are hundreds, maybe even thousands, on the market. Yet with so many options, the decision often comes down to whether a tool has the right features.

Structured project management correlates strongly with success. One survey found that organized marketers are 674% more likely to report project success than their peers.

Conversely, 97% of agencies reported a major campaign challenge in the last year, often due to workflow issues. Instead of trial-and-error, use a feature checklist to instantly vet any tool.

In this post we outline ten must-haves. If a candidate lacks one of these, move on. You do not want to waste time on a partial solution.

1. Import and Export (Data Portability)

Before you commit, verify that the new tool can import your existing data and, just as importantly, export it later. Any migration should ideally be automated, for example by supporting CSV or JSON imports for tasks, users, and project details. That way you avoid keyboard crunching hundreds of records. Equally critical is the ability to export all your data in open formats. Make sure you will not be locked in. If the vendor cannot easily give you a full project dump on demand, it is a red flag.

2. Gantt Chart (Timeline and Dependencies)

A Gantt chart view is essential for visualizing schedules and task dependencies. With a Gantt chart you can instantly see which tasks are on the critical path and which resources are overloaded. Without it, you are forced to guess if a delay in Task A will cascade into Task B. With a Gantt chart, any slippage is obvious and you can reallocate resources. If your project management tool cannot map out schedules and dependencies in a timeline view, you will quickly lose visibility on complex projects.

3. Calendar View

Alongside Gantt charts, a calendar view is vital for scheduling sanity. A built-in team calendar prevents common issues like accidentally assigning work on vacation days or missing recurring events. Ideally, the calendar stays in sync with individual schedules and integrates with Google or Outlook. This helps avoid double-booking resources or scheduling meetings on holidays. A live calendar ensures your timeline is realistic and avoids extra time juggling spreadsheets or invites.

4. AI Assisted Planning (Brainstorming and Task Generation)

Artificial Intelligence is rapidly emerging in project management tools. While it is still early, look for platforms that build AI into their roadmap. AI can supercharge planning. Some tools let you brainstorm or write a project summary and then have AI turn it into tasks. AI features can automate repetitive task management and extract action items from planning notes. At minimum, pick a vendor that is experimenting with AI features so you will be ready as this technology matures.

5. Hierarchical Tasks (Project, Task, Sub-task)

Your project management tool must support a proper task hierarchy. In practice this means at least three levels: the overall project, then tasks, then sub-tasks. This mirrors the Work Breakdown Structure used in project management best practices. Without this structure, you end up with one flat list and lose clarity. At a minimum, ensure the tool lets you set up tasks and at least one layer of subtasks so you can capture all the work without oversimplifying.

6. Custom Fields, Tags, and Priorities

Every team has its own processes, so you need customizable meta data. This means custom tags, labels, statuses, or fields that reflect your workflow. In practice, this allows you to create your own tags or labels, custom priority levels, and custom workflow stages. Do not settle for a rigid tool that forces you into one-size-fits-all fields. Your tool should flex to match your processes. Custom tags and statuses let you slice and organize work in ways that make sense for your team.

7. Integrations (Plug-Ins and API)

No project management tool is an island. Check that it integrates with your other apps. Modern teams use a stack of tools such as calendars, chat apps, finance systems, and file sharing. Your PM system must connect with them. Integrations create a single source of truth and cut out manual copy-paste. At a minimum, ensure the tool offers plugins or APIs for your key apps. If it lacks the integrations you rely on, expect extra work or costly engineering.

8. Reporting and Analytics

A tool that only manages tasks is only half the story. You need built-in reporting to analyze progress and trends. Good project management software turns data into dashboards and reports on demand. This lets you answer questions like which projects are burning budget and which clients had more delays. Look for pre-built report templates and customizable dashboards. If the tool lacks reporting, you will have to export all the data into spreadsheets, defeating the purpose of having software in the first place.

9. Notifications and Alerts

Even the best project management tool can become frustrating if every little change pings everyone. You want granular, configurable notifications. The ideal tool lets each user pick what they are notified about and how they receive updates. This kind of fine control cuts through the noise so you stay informed but not overwhelmed. Look for features like per-project or per-task notification settings, roles-based alerts, and options to snooze or batch notifications. A balance between visibility and focus is critical.

10. Built-In Communication (Chat and Comments)

Your project management platform should be a hub for team communication, not just task lists. This means either built-in chat channels or rich comment threads on tasks. The goal is to keep all project discussion in context. Many tools let you comment on a task and tag teammates so discussions stay attached to work items. Beyond comments, some tools include live chat or integrate tightly with Slack or Teams. Ideally, your team should be able to post updates, share files, and clarify tasks inside the same system you use to schedule work.

In Summary

With thousands of options out there, this ten-item checklist will quickly weed out tools that cannot support your process. If a tool lacks easy data import and export, or does not have a real timeline view, or will not let you organize tasks the way you work, it is not worth the headache. A strong project management tool should adapt to your workflow, not the other way around. Invest the time up front to verify these features. The right tool will keep your marketing campaigns and all projects on track while your team focuses on doing the work.