Booking a flight 2 times? Barriers in data-driven marketing

KLM vlucht | Ternair

It's a wonderful feeling: that last click of the mouse confirming your plane trip to New York. After a few days of looking and comparing on the Internet, you have decided to do it: vacation in "the city that never sleeps"! Within seconds, the e-tickets are already in your inbox. Yes!

The next morning you sit down at your laptop and surf to your inbox. Five unread messages. "Book your trip to New York now!" you read in the subject line of the first email. "Holiday in Chicago! another calls out to you. 'Now the cheapest tickets to The Big Apple,' reports the next.

"Unbelievable" you mutter. Annoyed, you delete these unwanted and purposeless emails. And while you search the Internet for places to see in New York, ads about cheap flights keep vying for your attention. By the way, from the same organization with which you booked your flight yesterday!

Obstacle to a successful marketing policy

Nonsense, indeed. Funnily enough, this is the daily practice at many companies when it comes to marketing and communications. Research by 2bMore shows that at many companies customer data from different departments are not integrated with each other.People and systems work alongside each other. Customer history - what choice did the customer make last time? - is not logged. And data has to be entered repeatedly. Now this should be doable for an airline ticket site with a few tens of thousands of orders per year, but how does an organization with hundreds of thousands of relationships handle this? Fragmented customer systems, also known as data silos, are the biggest obstacle to a successful marketing policy. They lead to miscommunications, irritations and worse business results.

Loose control of triggers, actions and campaign flows

Customers expect a supplier to know who they are, what they want and what information they are waiting for. But it's still a bridge too far for many companies to do data-driven 1-to-1 marketing. They do not have a single customer view because customer information is stored in data silos that are not centrally available. Moreover, dynamic data is often not available in real time to respond immediately to a customer or prospect's current situation.It is a major challenge to integrate the dynamic online world of click and surf behavior with the more static relationship data in offline sources. Many organizations are unable to provide the right content within the right context to customers. Sometimes there is nurture flows, profiling and behavioral targeting, but these are not linked to, for example, transaction data, crm contact data or call center data.

Very often no complete and up-to-date customer view

About 47 percent of companies have no or a very limited customer view. Employees have to bring together information from different systems and sources to get the picture complete. In addition, customer data ages quickly. Especially if they also have to be processed into usable information. Only 2 percent have a complete and up-to-date customer view with information that is available in real time.

Barriers to data-driven marketing

When implementing data-driven marketing, integrating data appears to be the biggest barrier (62%). The integration of different communication channels is also a bottleneck (38%). In addition, data quality and timeliness is a problem for 32 percent of respondents.In short, companies dealing with large amounts of customer data face the challenge of integrating and tailoring data sources to the way customers communicate and orient themselves today. On average, they are only halfway through the transition to data-driven 1-to-1 marketing, according to the transition matrix below.

Data-driven transition matrix

How do Dutch organizations score in data-driven marketing with large amounts of relationship data, spread across multiple sources and applied across multiple communication channels and ditto applications? The successful organizations that can create value from data have two things in particular in order better than the average organization.

  1. Data availability (x-axis)This is the transition from traditional data silos to fully integrated and real-time available data for personalized marketing.

  2. Applications in communication channels (y-axis)This refers to the transition from traditional outbound marketing to a personalized omnichannel approach of both outbound and inbound marketing.

Ternair data-driven-marketing maturity model | Ternair.comThe success factors are formed by

  • Clearity in strategy/strategic values of data

  • Dataintegration and availability

  • Flexibility of the marketing application landscape

  • Available knowledge and experience in new areas of marketing

  • Flexibility of the organization in the change

  • Flexibility of the organization in the change

  • Institution and integration (in- and outbound) of the various communication channels

Rake marketing

A successful marketing policy floats on two pillars: customer data is readily available AND is deployed through personalized communication channels. That way there is an up-to-date overview, data is applied through the right media and the customer gets what he wants, when he wants it.Then the airline ticket site no longer sends emails for flights you've already booked, but gives personalized offers for the perfect New York hotel. And instead of sullenly deleting the e-mails, you will open them, admire the hotels and merrily muse along with Frank Sinatra:'I want to wake up in a city that doesn't sleep...' That's clever marketing.

This article was published on Frankwatching on January 23, 2017.

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