Research: will this be the year of data-driven marketing?

data-driven marketing | Ternair

It is a wonderful time to be data-driven as a business. The conditions can be met: marketing technology is mature enough and there seems to be more data available than ever. That means companies have the opportunity to use data to improve customer experience, make better decisions and increase conversions.

Is 2016 the year of data-driven marketing?

You can argue that the past 10 years have all been the year of data-driven marketing. Yet the playing field is changing. The trend is moving toward ever simpler ways to bring data together, the technology for analysis is becoming more sophisticated. And at the same time, desires and ambitions are also growing.Recently, Ternair conducted a benchmark study on data-driven marketing in the Netherlands, which offers interesting insights. I share some of the results below.

Data-driven marketing needs to get it right this year

Why is data such a popular topic? With the right data, it becomes possible to better understand marketing effectiveness and create more complex campaigns. The marketing function can be supported by data in several ways. Basically, there are two main areas.Data-driven descision making (decision-making. organization-centric). Companies use data for decision making. Measurement, effectiveness analysis, trends and testing provide input for this. The aforementioned benchmark study shows that 22 percent of the companies surveyed feel that they will run great risks in making decisions if they do not get data-driven marketing right this year. Data-driven marketing campaigns (execution - customer-centric). The other part of data-driven marketing focuses on execution, where data enables more targeted communication. Segmentation, personalization, optimization through testing and event-triggered messages to send and make the right recommendations. According to the survey, companies say they miss connecting with the customer (54 percent) if they don't get data-driven marketing right. Now you can interpret that connection with the customer in two ways: connection in the form of reach and touch points as well as in the form of the match between customer and the right marketing messages. Both fall under execution.

Data-driven marketing is a strong growth driver

Data-driven marketing can be described as a process. The process of collecting, bringing together, analyzing and deploying data for marketing purposes.

"Deploying data is like marketing Pokémon, companies with it grow faster than without it."

Many-businesses-see-good-excellent-growth-opportunities-with-data-driven-marketing | Ternair87.8 percent of businesses see good or even excellent growth opportunities with data-driven marketing, while only 19.5 percent see a good opportunity for growth without it. In fact, without data-driven marketing, nearly half of companies estimate that their company's growth will fare poorly or very poorly.The stage that organizations are at with the use of data for marketing varies widely. Looking at the following chart, it's fair to say that for most organizations it's on the agenda.For most organizations, data-driven marketing is on the agenda | TernairThis is easy to imagine when you realize that, for example, marketing automation is experiencing significant growth. Fields like business intelligence, CRM, real-time bidding and analytics are, by definition, based on data. It also becomes clear when we put them alongside business objectives. Customer growth and development are the No. 1 challenge, efficiency is at No. 2 and accountability at No. 3.As Karel Dörner, principal consultant at McKinsey, says, companies that successfully adopt digital technology do not see it as an extra, but it becomes the focal point of what they are, as it changes the value proposition and as every part of the organization evolves to become data-driven, customer obsessed and agile.Now that may be a little too buzzword-heavy, but it can be taken as truth that personnel, processes and technology can only make the data-driven transformation together. If any one of these lags behind in development, the party won't happen.

In the DMBOK2 data management model below you will find more detail. Those three "environmental elements" consist of several sub-elements, also note that technology is not only tools, but also the related deliverables.DAMA DMBOK2 environmental elements | Ternair

Source: DAMA DMBOK2 environmental elements

In that context, I do read the earlier chart differently and wonder why there are companies where data is not a priority on the agenda. Perhaps the explanation is also understandable. Tom Fishburne recognizably shows that beyond the promise and desire, there is also a lot of resistance to data-driven marketing, including from the personnel angle.5 stages of data-driven marketing | Ternair

Customer behavior gaping hole in customer contact

In transitioning to a data-driven organization, it is not a requirement to have everything in order at once. But customer behavior is not yet a trigger for customer contact for almost half of all companies.Most communication is time-bound: companies want to stay top-of-mind with customers and prospects. That's why they send periodic newsletters and use an annual calendar for other planned campaigns across channels. Of course, those communications can also be adjusted to better suit the recipient, but the sender still determines the timing.Most communication is time-bound | Ternair

Just responding to customer behavior at different points in the customer journey is a cornerstone of marketing automation. This does require setting up the data-driven marketing model.

Barriers to data-driven marketing

Marketing can be supported or even based on data in several ways.A first step is to collect the data. You would think: the more data, the better. That would mean that many contact moments, touch points and data sources are a great starting point to start doing something with. However, the issue is not the amount of data being collected, but its accessibility and use. Diversity and distribution of data actually creates complexity.Perhaps the most interesting overview from the benchmark study is below.Data integration biggest obstacle | TernairFor many companies, all data from different source systems are centralized into one system before it can be used effectively. This is then in fixed formats in one system, such as a data warehouse. Data-centric means bringing the data together centrally as well.I wonder if this offline data and CRM-based thinking will remain future-proof. There will always be a place for a central customer profile. But in 3, 5, 10 years, will the same principles still be held as intensively? The fact that it is proving difficult for organizations to achieve single customer view within fixed data (base) structures is the catalyst for change.

Integration

Integration is, in fact, seen as a major hurdle, but not integration of tooling or of channels, but rather of data. An integrated environment in which data is accessed for use is not easily realized, even though it is necessary for the desired data agility, the flexible and speedy deployment of data.The contours of a paradigm shift are already visible. More and more powerful processing and machine learning are emerging, combined with affordable data storage and open source technology. When technology becomes so powerful, fast, affordable and reliable that it can aggregate, stitch, predict and serve out data on the fly, the functional need to bring data into a single physical place, system or structure will become obsolete.This will replace the current function of a central database as a (copy) holder of data with access to decentralized data. That data can therefore remain largely decentralized. Think of it as a wallet that gives access to applications on their 'subscription' and makes it flexible to connect sources without the current complexities. After all, it is not about the largest data set, but rather the smallest that can provide the most insights. In practice, this will most likely come with other, new challenges.

Conclusion

Marketers agree: data-driven marketing and the resulting precision marketing are crucial for growth. For now, data integration is the biggest obstacle to realizing this ambition. While many companies are far from being there, one thing remains unchanged: the company that understands the customer best wins.

Credit image: r2hox, License: CC BY (Commercial reuse, including adaptation)

This article was published on MarketingFacts on March 14, 2016.

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