
A person of the perennial criticisms of the martech landscape is that “most of these solutions all do the exact factor.” Deliver an e mail. Render a website webpage. Examine some info. This criticism has developed louder in proportion to the growth of the landscape.
With an ever more exasperated tone, persons inquire, for instance, “What’s the point of hundreds of CRMs or promoting automation resources? They’re all just storing the exact client fields and mail merging them into campaigns.”
I have typically had two opposite responses to that accusation.
Initially, I get a small defensive and say, “Hey, there are real innovations that transpire in martech all the time. For instance, you simply cannot search at a solution like DALL-E 2, that magically generates visuals from any description you can categorical in words, and not take pleasure in that, wow, this genuinely is a thing new beneath the solar.”
But not all innovations in martech are that outstanding. Coming up with the first several reverse ETL applications to conveniently (re)hydrate knowledge into your app stack from your information warehouses was super useful. But it wasn’t worthy of a headline in The New York Occasions.
So, my fallback response is to confess, “Yeah, I guess you’re proper. All e mail advertising and marketing tools kinda do the exact same factor. But, hey, on the brilliant side, that form of commoditized competition among the distributors should be fantastic for you as a marketer. Legislation of economics: it really should drive down your selling price.”
That usually mollified people critics, who mostly just wished me to acquiesce to their gut-level belief that the martech landscape was all seem and fury signifying nothing. But it did not sit well with me. It didn’t feel to demonstrate the sheer volume of variants of products and solutions in martech types nor the huge total of mental funds that stored becoming invested in them.
3-Tier Architectures: Data, Choices, Shipping and delivery
Let us get started by recognizing that most application follows a sample of a few tiers or levels:
- Facts — at the base: data saved in a database
- Presentation — at the leading: what seems on the monitor to consumers
- Business enterprise Logic — in the center: conclusions and movement among the other two levels
David Raab, the inventor of the CDP class, mapped these to 3 phases of details, conclusions, and delivery. (I wrote an article previous year riffing on that product called Details, Decisioning, Delivery & Style and design to distinguish CDPs from cloud data warehouses, CDWs.)
But these three layers aren’t equal in scale or complexity.
The facts layer appears to be intuitive as the easiest layer. If you’re chatting about buyer information, these types of as in CRM, there are commonly a finite range of fields getting saved. And the most vital fields are normally the exact: name, company, title, e-mail, phone quantity, handle, etcetera.
Of class, all shopper data is not fully that homogenized. Diverse organizations accumulate diverse information and facts about purchases, consumer behaviors, demographic, firmographics, technographics, and so on. There can be relational facts connecting all those customers with campaigns, system, and companions.
Nonetheless, the amount and dispersion of variation is modest. In other words and phrases, the data layer is reasonably prone to commoditization.

What about the presentation or shipping and delivery layer? Most folks — especially UX professionals — would say there is a lot much more scale and complexity below. It is anything that absolutely everyone sees or hears!
Intuitively, there is monumental variation in presentation. Some interfaces are attractive some others are unpleasant. Some clearly show you exactly what you want, where by you want it many others are a incredibly hot mess that your eyes painfully bushwhack through to uncover the one detail you ended up basically on the lookout for.
So presentation is an place of differentiation, not commoditization, ideal?
In fact, no.
Forgive me for obtaining a little bit philosophical right here, but rely on me, there is a significant stage to it.
The technological layer of presentation is in fact quite constrained. There are only so quite a few pixels, of so numerous shades, that you can place on a display. I’m not chatting about what those pixels depict — that’s a thing various, which we’ll get to in a instant. The raw pixels and their prevalent patterns veer in the direction of commodities.
For that issue, if we expand beyond just “presentation” to protect other aspects of “delivery” — how that presentation essentially arrives in entrance of somebody — which is fairly commoditized much too. The HTTPS protocol for internet pages. The SMTP protocol for electronic mail. The SMPP protocol for textual content messages. These are not just commodities, they’re standards.
Now right before designers commence sending me anatomically unflattering wireframes of in which I can adhere this article, enable me rapidly follow up that design and style and UX are incredibly complicated and vital aspects of products and solutions and experiences that present great opportunity for differentiation. (Seem, I even place it in bold!)

But the magic and mastery of design and UX isn’t in the supply. It is in the selections about what to produce — when, exactly where, how, to whom.
It is the selections in UX that generate differentiation.
Conclusions Are the Wellspring of Differentiation
Most of software is decisioning. All all those instructions functioning by processors determining if this, then that, hundreds of thousands of moments for every minute. The bulk of code in programs is “business logic”, a large ocean among the seabed of common facts and the comparatively skinny waves of presentation sent on the floor.
The scale of the conclusions layer in software program is massive. I have drawn it as 80%, relative to 10% for info and 10% for delivery, in my diagram. But it’s most likely nearer to 98% vs. 1% and 1% in most programs.

It is also sophisticated. And I necessarily mean “complex” in the scientific perception of many interacting pieces — and not just isolated within just that 1 application by itself. The conclusions just one software application would make are afflicted by the conclusions other linked software apps make. In a stack of dozens of applications, hundreds of data sources, and 1000’s or thousands and thousands of people, all feeding various inputs into a program’s decision-producing, you have an astronomical set of opportunities.
It’s in this sophisticated surroundings in which distinct software program apps bring to bear diverse algorithms, frameworks, workflows, and types to make conclusions in unique ways.
There are 3 important points about this conclusions layer:
- It is the biggest part of what composes a software program application.
- Collectively, there’s a in the vicinity of infinite amount of diverse attainable selections.
- These decisions can have sizeable, product impact on organization outcomes.
The last point should really be self-obvious. Businesses compete on the selections they make. If you don’t assume you can make various — greater — selections than your opponents, you ought to possibly consider a career as a hermetic monk. (Ironically, a pretty differentiated conclusion to make.)
The conclusions layer in software program is a significant canvas for differentiation. And with its potential affect on results, it’s a substantial canvas for meaningful differentiation.
Nearly no two program apps — at the very least applications of any significant sizing — are the similar.
Martech: Commoditized and Differentiated
When you glance at the superior-degree categories of the martech landscape, this sort of as a major bucket for CRM, with hundreds of logos, it’s good to say that, absolutely sure, in some wide perception, all individuals applications are the very same. They are all for client relationship administration.

You could also rightfully say that the info saved in those people CRMs are generally fairly equivalent way too. As are the shipping channels in which they serve up presentation to workers again-stage and buyers front-phase. By way of individuals lenses, they are commoditized solutions.
But the gigantic mass of choices inside just about every of these different CRMs differs greatly.
Commit some time employing HubSpot (disclosure: where I do the job), Microsoft Dynamics, and Salesforce, and you will recognize just how various these CRMs are. Certainly for your encounter as a user. But from the myriad of matters that contribute to differentiated practical experience for you in these CRMs springs a fount of diverse business enterprise conclusions and purchaser interactions.
Is just one of course improved than the other people? (I’ll resist my individual bias in answering that.) Offered the extensive adoption of all a few, you have to conclude that the respond to to that concern is different for distinctive enterprises.
(Yes, it’s a meta-final decision to decide which conclusions bundled in a CRM platform you like, to support you make better choices for your buyers, to then aid them make superior decisions in their firms, and so on. Turtles all the way down? Nope, it’s choices all the way down.)
And it is not just these a few CRMs. It is the hundreds of many others. Each and every one particular produced by unique persons bringing distinctive strategies, philosophies, frameworks, and implementation alternatives to the massive quantity of decisions embedded in their merchandise. All of which ripple into distinctions for how your enterprise will basically function in zillions of very small ways… but which aggregate into not-so-tiny distinctions.
Far more colloquially, this is referred to as opinionated software.
Now, not all these distinctions will be superior kinds. It’s a Darwinian market for positive. Some CRM platforms will thrive other people will go extinct. New CRM startups will sprout with new variants. Around time, there may be much more or fewer. But there’s place for distinct CRMs with diverse final decision levels to legitimately exist, as extended as every single one particular has a shopper base — even if, or perhaps in particular if, it is a specialized niche — who prefer the unique decisions of that vendor.
This dynamic is current across all groups in martech.
Incremental Innovation Is Still Innovation
Now, are the dissimilarities in the choices layer involving two martech products in the exact group breakthrough, leap-frogging improvements?
Admittedly, most of the time, no. They’re much more typically “incremental innovation” — locating improved ways to do anything, not so much creating solely new somethings. But it would be a slip-up to disdain, “Pffft, that is only incremental innovation.”
Incremental innovation is continue to innovation. It can meaningfully differentiate a single vendor from a different and produce good positive aspects to their shoppers.
This why martech has 10,000 products that all kinda do the exact same factor — but not really.