Data-driven marketing: where does the Netherlands stand?

Data-driven marketing | Ternair

Dutch companies score poorly on data-driven marketing. Almost no company has a complete customer view, making integrated, one-to-one marketing a bridge too far.

A good three-quarters of Dutch companies do not (yet) have a complete customer view, because online and offline data sources are not integrated. Customer data comes in through different channels and is stored in different systems. A 360-degree view of the customer is missing. This makes an integral and individual customer approach impossible, according to research by Ternair into the state of affairs surrounding data-driven marketing among companies with large customer databases in the Netherlands.

Importance of data-driven marketing recognized

Most companies by far realize how important precision marketing is nowadays. People even link this to the business perspective: with data-driven one-to-one marketing, they rate growth opportunities as (very) good and without as poor. Companies are afraid of losing connection with the (digitizing) customer. Respondents therefore see finding and connecting with customers as the biggest challenge for marketing. Yet data-driven work is not yet given top priority everywhere. The ambition is there, but it is not (yet) carried to the highest level. Executives in particular still doubt the return on investment of data-driven marketing:

How do you assess your company's growth opportunities?

With data-driven marketing?Without data-driven marketing?
Excellent26,8%0%
Good61%19,5%
Same as last year12,2%31.7%
Bad0%43,9%
Very bad0%4.9%

Conditions for data-driven marketing

Business-wide use of data to achieve enterprise goals presents companies with tough challenges. The following key areas can be identified for a data-driven approach.

  1. Customer data and knowledge: what customer data is available and how is this customer data accessed?

  2. Channels and systems: how is information coming in through different channels captured and used in making and maintaining contacts?

  3. Automation: to what extent is dialogue with customers automated?

  4. Real-time information: is the data flow for customer contacts and across campaigns readily available?

  5. Organization: in what way is data-driven marketing embedded in the organization and among employees (knowledge and competencies)?

  6. Strategy: has the company developed a vision to move toward an individual customer approach?

Using customer data difficult due to fragmentation

Nearly all respondents report that leveraging customer data plays an important role in achieving business goals. Ideally, you should have all the information about a customer at your fingertips. Buying behavior, service history, touchpoints in the customer journey, demographic and geographic characteristics.Leveraging customer data difficult due to fragmentation | TernairCustomers and prospects want to be approached personally and with relevance. The transition to data-driven marketing requires a major effort. Customer knowledge is typically scattered throughout the organization, and each department has its own interests, data and tools. Therefore, it is not surprising that companies still make little use of data-driven, personalized forms of communication. People now send, to a greater or lesser extent, automated emails that include, at most, the recipient's name and pushed offers.

Data integration biggest bottleneck for data-driven marketing

In the transition to one-to-one marketing, companies are taking steps in sub-areas. Integrating data is seen as the biggest hurdle, followed directly by redesigning the organization and establishing a strategy. The integration of different channels is also frequently mentioned.

What is the biggest barrier to implementing data-driven marketing within your organization?

BiggestOne largestTwo largest
Data integration41.5%17.1%4.9%
Actuality data4.9%14.6%12.2%
Channel integration4.9%19.5%14.6%
People's knowledge level4.9%9.8%9.8%
Organization24.4%17.1%12.2%
Tooling7.3%12.2%26.8%
Strategy/Policy9.8%7.3%14.6%
Privacy2.4%0.0%4.9%
Security0.0%2.4%0.0%

Successfully implementing data-driven one-to-one marketing can thus be both an organizational and a technological challenge. Do specialized departments form islands and are unable or unwilling to work together? Do different data sources make it difficult to integrate? Or is it a problem to communicate customer-oriented information through different channels? Inquiries reveal that people first want to break down the walls between departments and communication channels. Smart tooling can be a crowbar.

Poor numbers for preconditions

In order to see how "mature" companies are, the respondents expressed in numbers the extent to which they meet the preconditions for data-driven marketing. These figures show only a narrow enough on the various components:

To what extent do you have the prerequisites for data-driven marketing in place?

RanditionsFigure
Integral customer view5.7
Integration of communication channels5.5
Competencies6.5
Tools5.8
Enchoring in the organization5.5
Anchoring in the strategy5.9

The day-to-day practice

The results of the survey confirm the picture that we at Ternair encounter in our day-to-day practice. The topic of data-driven one-to-one marketing is "hot. Marketers want to move forward, but in the current situation many marketers are still hampered by the fact that the prerequisites for data-driven one-to-one marketing are only partially in place. Companies are struggling with data silos. The administration of basic data (NAWT and transactions) is almost everywhere well organized in a central CRM/ERP system. The same is not true for data on, for example, leads, prospects, newsletters, downloads and click behavior of website visitors. This data is fragmented and stored in a variety of separate databases and lists and is not centrally available.

Combine customer data

Every company with a large customer database uses an e-mail marketing system. These systems are excellent for formatting and sending personalized bulk e-mailings on "flat" lists. Marketers like to be able to combine all sources of customer data within campaigns and apply them across all channels. Many email marketing systems do not have a data layer that can accommodate multiple data sources with a relational data structure.Many companies with large customer databases currently face the question:

  • Do we keep our current email marketing system? (one channel, with customer data constraints)

  • do we invest in a new campaign management system with a flexible customer data layer, supporting all channels?

Concluding: the ambition for data-driven marketing is great, but the prerequisites are not yet sufficiently fulfilled. So there is still quite some work to be done.

This article was published on Frankwatching on November 16, 2015.

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