Why Modern Marketers Need to Be More Tech Savvy

Technology has reshaped how most professionals do their work — and marketing is no exception.

The digital age has drastically altered the speed, relevancy, and range of marketing campaigns, pushing marketers everywhere to become more technically capable as they compete for consumer attention across an increasingly fragmented internet.

Using CRM platforms to manage customer data, or writing copy with SEO in mind, are two obvious examples of technology in everyday marketing practice. But technical literacy means more than knowing how to operate a tool.

As MarTech authority Scott Brinker has noted, "Marketing technology is not just about making existing processes more efficient. It […] will shape the experience you deliver to prospects and customers."

That distinction matters. The platforms marketers choose — and how well they understand them — directly determine the quality of experience delivered to every prospect and customer.

Challenges Facing Today's Marketers

Modern marketers have adapted to many digital realities, but a cluster of persistent challenges remains. These are structural problems rooted in data fragmentation, unclear customer journeys, and under-leveraged technology.

Marketing Is Still Coming Up Short

A CMO Council report titled "Predicting Routes to Revenue" surveyed more than 150 marketing executives across Europe and North America. The results were sobering: only 5% felt confident they could predict the customer journey and identify the actions most likely to generate maximum value.

The implication is clear. Even after years of digital transformation, most marketers still do not fully understand how to extract meaningful insight from the technology they have already deployed — let alone translate that insight into revenue-generating action.

Customer Experience Is Being Underbuilt

At a recent Consumer Electronics Show in Las Vegas, a third of attending executives identified customer experience as the primary way they intended to differentiate their organizations. Forbes has reported that by 2020, customer experience is expected to outpace both pricing and product as the key competitive differentiator.

This signals a meaningful shift away from broadcast-style messaging — the traditional approach of simply extolling a product's features — toward something more relational. Today's consumers can research any product independently and in depth, so feature-led advertising has diminishing returns.

Understanding this shift is a start, but awareness alone isn't enough. Maximizing the impact of customer experience requires building it around the customer's actual needs, not the company's internal processes. That means consumer-centred copywriting, website architecture, and campaign design.

Personalization Is More Than a Name in the Subject Line

Many marketers equate personalization with surface-level touches: inserting a customer's first name into an email subject line, or recommending similar items based on past purchases.

The CMO Council's Vice President of Marketing addressed this directly when commenting on the organization's report: "Personalization isn't a question of using a customer's name in an email subject line. […] If [it] remains a way to add a few interesting indicators to a momentary campaign, we will fail in fully optimizing the revenue potential of each individual customer."

True personalization means treating customers as living, multi-faceted individuals — not entries in a list. Younger consumers in particular expect to be genuinely engaged rather than broadcast at; the participatory nature of the internet has set a higher bar than the passive TV-viewing habits of earlier generations.

Meeting that bar requires technology platforms capable of assembling and acting on nuanced customer profiles: Data Management Platforms (DMPs), analytics tools with user-centric reporting, and personalized remarketing platforms are among the key categories.

The Multi-Channel, Multi-Device Problem

Building effective campaigns becomes dramatically harder when customers might encounter your brand across any combination of the following channels:

• Company website and landing pages
• Social media ad campaigns
• Email communications
• Display ads on third-party sites and apps
• Native search results

And those channels are accessed across a growing range of devices:

• Desktop and laptop computers
• Smartphones
• Tablets
• Smart TVs
• Gaming consoles

Rather than representing an opportunity, this proliferation frequently leaves marketers blind to the actual customer journey. The result is the kind of uncertainty about customer behaviour highlighted in the CMO Council findings.

Two failure patterns are common. The first is pushing identical content across different channels — using the same copy and creative for a display banner and a social media post, as if the context and intent of the viewer were the same in both cases. The second is poor audience segmentation — not knowing which customers are likely to respond to a premium offer versus a value-oriented message.

In both cases, the underlying problem is the same: consumers are being treated as homogeneous objects rather than individuals whose preferences shift depending on a range of factors:

• Time of day or season
• Device being used
• Geographic location
• Recent browsing behaviour
• Previous interactions with the brand

Without systematically tracking and quantifying these variables, marketers consistently leave revenue on the table.

Addressing this requires technology that enables a Single Customer View (SCV) — a unified profile that tracks each user across channels and devices, making it possible to deliver relevant and timely messages rather than generic ones.

Data Silos and the Alignment Problem

Most marketing organizations don't suffer from a shortage of data. The challenge is using it effectively.

As Marc de Swaan Arons and colleagues argue in the Harvard Business Review, the companies handling big data most successfully are doing so not just to understand what consumers have done, but why — which makes forecasting revenue sources considerably more reliable.

The CMO Council report frames the practical challenge clearly: data collected across an organization must be "immediately transform[ed] into something that is actionable and resonates with the customer and their preferences." That's the aspiration. The current reality falls well short.

Only 3% of organizations surveyed in the CMO Council report felt they had properly aligned and integrated their data sources.

In practice, data remains siloed across platforms — CRM systems, email tools, web analytics — each owned by a different team (sales, marketing, customer service) and rarely speaking to one another in any meaningful way.

Without better data integration and a more-than-surface understanding of how to act on it, marketers remain severely handicapped.

Technology Platforms That Help Marketers Address These Challenges

The pressure to solve these problems has pushed marketing leaders to invest significantly more in technology. It has been predicted that CMOs will spend more on IT than Chief Information Officers (CIOs) — a signal of just how central technology has become to the marketing function.

The core stack that most marketing teams already rely on includes:

• Analytics tools: Track web traffic and user behaviour to analyze campaign effectiveness, user pathways, and conversion rates.
• CRM platforms: Manage interactions between sales teams and prospects or customers.
• Marketing automation tools: Automate email campaigns, manage funnels, and track leads.
• Tag managers: Organize and deploy tags that track online user actions.

These are foundational. But they are not sufficient on their own to solve the deeper problems of fragmented customer views and disconnected data sources.

Data Management Platforms (DMPs)

A Data Management Platform (DMP) is purpose-built to collect, aggregate, and segment large volumes of data, making it accessible and actionable across marketing functions.

Here is how a DMP addresses the challenges described above.

Data collection and aggregation

A DMP draws in data from across the organization, both online and offline:

• Online sources: CRM platforms, web analytics, web and mobile apps, tag management systems, ad servers, help-desk software, social media
• Offline sources: Contact details gathered in person, in-store purchase records

Single Customer View

By tracking users across channels — using cookie syncing and tags embedded in apps and websites — a DMP assembles a coherent picture of each customer's behaviour and preferences. This makes it possible to understand consumers more accurately and design more relevant experiences for them.

Audience segmentation

Once data is collected, a DMP allows marketers to segment it into audiences — defined groups of users organized around shared characteristics or behaviours. This gives marketers a structured, data-backed basis for campaign decisions.

Consider a marketer working on a mobile gaming app. Through the DMP, they might identify a segment of users who:

• Searched for game reviews on a desktop browser
• Purchased several apps on a tablet
• Recently deleted two of those apps

By combining the price range of purchases, inferred interests from search behaviour, and the churn signal from the deletions, the marketer has enough context to craft a genuinely personalized message — one that reflects where that user actually is in their relationship with the product.

As the CMO of Pegasystems, Robert Tas, has put it: "By deploying real-time analytics to turn […] data into actionable insights, organizations can predict customers' needs and quickly adjust as those needs change to provide superior experiences at every action."

That is the practical payoff of treating marketing technology as infrastructure for understanding people — not just as a set of tools for automating campaigns.

The gap between where most marketing organizations are today and where customer expectations are heading is real. Closing it depends less on adopting any single platform and more on building the technical fluency to integrate data, act on it quickly, and keep the customer's actual experience — not internal process convenience — at the centre of every decision.

Extracts from this article appeared on www.momentology.com