Home Digital Marketing Data-Driven Marketers Are Farmers

Data-Driven Marketers Are Farmers

SHARE:

MarketersDataAn underlying sentiment among the marketers at the Oracle Marketing Cloud Interact show in San Francisco this week was how to move away from “channel optimization” to maximizing customer lifecycle value.

Many agreed change management is essential to avoid thinking of channels in isolation – from search to social to display.

“When I think about what marketing used to be, it was like being a movie producer (making executive decisions) and now it’s like being a farmer,” Luanne Calvert, VP and CMO of airline Virgin America said. “We have to plant seeds – conversations between our guests and our brands” to nurture the individual at every stage of the lifecycle.

Orchestrating data throughout the purchase funnel is a familiar challenge to Shannon Smith, VP of loyalty and retention marketing at J. Crew. In her previous role as a senior marketer with Sephora, Smith deployed customer analytics and developed the brand’s loyalty program Beauty Insider. Before Beauty Insider, Sephora had virtually no customer database.

“The loyalty program was designed to be a customer data capture tool, which would help us understand who a high value customer was, decipher different tiers and segment based off that,” Smith said in a Thursday session.

Except it wasn’t enough to construct a massive customer warehouse that consisted primarily of offline transactional data and purchase history. Sephora needed more insight into behavioral data to distinguish loyal from disloyal customers.

“Data is messy, it’s complicated and it’s quite an endeavor where and how you will capture it,” Smith said.

Now, at J. Crew, “we’re incorporating email engagement behavior into segmentation and targeting. We’re setting up a much more triggered and robust marketing platform. In all the marketing organizations I’ve worked, it’s helpful to have your end goal in mind.”

For Sephora, the goal was to tie loyalty data back to broader digital marketing efforts more effectively. For others, it’s using content to detect interest and intent and ascribing value to the consumer as opposed to thinking first about campaign or channel.

“We’ve made a lot of investments in technology to make our data more accessible to us,” said Brad Rodrigues, SVP and GM of digital for $500-million, California-based education technology company LeapFrog.

LeapFrog’s toolset includes Oracle commerce, Responsys for multi-channel marketing, Monetate for testing and targeting, Google Analytics, Adobe CQ and Birst for predictive analytics. By diversifying its technology stack, LeapFrog has become more proactive with data.

Subscribe

AdExchanger Daily

Get our editors’ roundup delivered to your inbox every weekday.

“We’re using data as content,” Rodrigues said. He cited an example of measuring LeapFrog’s app usage in order to tailor messaging to parents for suggested app downloads or device recommendations in a privacy-compliant manner. “It was similar at Nike, where I spent nine years, where we ran data to frame up insights and say to the user, ‘Did you know you ran 10 miles last week?’” and tailor offers accordingly.

At credit scoring and business services firm FICO, digital marketing has evolved from “campaign” to “nurture” mode, according to the company’s Director of Digital Marketing Kelly Rausch.

The company is becoming more proactive in determining “where the user is in the funnel and what content do we need to touch them with.”

 

Must Read

Comic: Off-Platform Media

How RMNs Use MFA And Cheap Inventory To Game Attribution Rules

Retail media is built on its attribution quality, but real purchases can be gamed by programmatic metrics and create perverse incentives for RMNs to serve ads across low-quality inventory.

There’s A Lot Wrong With Google’s And Meta’s Non-Transparent ‘Refund’ Practices

Google and Meta are playing with fire. Their opaque refund practices have already exposed them to customer blowback – and could lead to class-action lawsuits by disgruntled advertisers.

Comic: The Great Online Privacy Battle

How US Intelligence Agencies Buy And Use Programmatic Data For Surveillance

Mike Yeagley, an independent contractor who has scouted and acquired commercial data and technology on behalf of intelligence agencies, is one of the earliest evangelists of using ad tech tracking information to identify and surveil government targets.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Comic: The MFA Cafe

Adalytics Report Torches Ad Tech For Touting MFA Prevention While Scarfing MFA Supply

Practically every ad tech vendor has put out a press release in recent months full of bluster about cutting out made for advertising sites – and yet supply sources remain oversaturated with garbage inventory.

Cloud-Based Collaboration Is Ad Tech’s Post-Cookie Lifeline – But Will It Last?

Cross-cloud data collaboration technology is the best bet for a post-cookie solution. But it’s vulnerable to similar privacy concerns.

Topsort Raises $20 Million To Seize The Post-Cookie Market Opportunity This Year

Topsort raised $20 million, with plans to seize the 2024 opportunity for post-cookie ad tech.