Home Data-Driven Thinking When Third Comes First

When Third Comes First

SHARE:

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. 

Today’s column is written by Karima Zmerli, chief data sciences officer at Wavemaker.

Data’s importance can’t be overstated – it informs virtually every corner in the brand marketing ecosystem, from insights to creativity, media usage and customer acquisition. Over the past year, I have heard more and more about the value of first-party data. At conferences and in publications, it’s cited as the most valuable of all data sources, thanks to its reliability in that it comes first-hand from the consumer or end user. And that is all true.

But first-party data is not some sort of industrywide cure-all for a marketer’s data needs.

Not all brands have first-party data, and in some advertising categories, first-party doesn’t help growth objectives at all because it reveals information about an existing customer, rather than potential customers where incremental opportunities reside. In this instance, first-party data is used in media as a CRM tactic. Given that it can be very expensive to gather, maintain and make available, the return on investment may not be there.

That’s often the case in the pharmaceutical category or some non-DTC brands. I see these industries spending millions of dollars building data lakes trying to capture first-party data when they don’t have any – and even if they do have some, it’s not scalable. The non-DTC category is especially ill-suited; these are often commodity products with a lot of impulse buying and not a lot of loyalty. Having first-party data – and I am using this term widely – won’t get a brand closer to the customer, and there’s really little means in most cases to measure the ROI of that data once it’s acquired.

Even if first-party data is available and affordable to gather, the whole point of media spend is to acquire new customers – to go after growth, not to limit churn. First-party data doesn’t deliver that information. Acquisition comes from data on people that marketers have never talked to. I’m not saying agencies and marketers should never gather any first-party data, but the level of effort and investment need to be balanced based on the objective of delivering ROI and incremental sales.

The question marketers and their agencies should be asking is, “What should we be focusing on to drive ROI?” The answer really should be insights, not data collection. First-party data collection is a means to an end rather than the end goal, and before starting a data and tech journey, a few important questions should be asked. Why do we need this tech and data? What decisions will it help us make? And do we have a viable business case?

I strongly believe that the value of insights allows a brand to unlock potential from an ROI standpoint – and inform the channel, message and content.

First-party data tells brands the what, not the why. Moreover, if they target existing customers, the conversion rate will decrease over time. We should go a little bit upstream and understand the why, not the what of consumer actions. Their attitudes, lifestyle and affinities to a brand are all possible predictors of purchase behavior to unlock growth. Prospects are where the focus should be for growth, particularly when we are able to understand what will motivate them to buy the brand.

All that said, I fully understand that third-party data has some reputation issues and negative stereotypes to overcome. But these are surmountable with a smart and reasoned approach to finding the best data. Brands should seek a reliable and legitimate provider for the type of data they need, then apply a scientific, analytical approach to selecting the strong data signals they will use as a predictor to reach the right prospects. Chances are, they’ll find new customers. Think back to the early days of credit card marketing, which built its business on a direct-mail model. That was based on a propensity model using third-party data from Experian, Acxiom and other providers. And it still works brilliantly.

The risk is starting to bundle the data in media just because of cost, and forgetting the value of data in getting us the right media in a better ROI. I would recommend using 30 to 40 different providers to build segments. Do not get married to any single provider. Work with whoever is a higher predictor that sells the right data at the right cost to get max ROI.

First-party data certainly is an essential ingredient to marketers looking to generate loyalty. The auto and retail companies are perhaps the best examples of marketing categories that need to know as much as possible about their customers to keep them buying in the brand. But when they’re searching for new customers, reliable third-party data is where they will want to turn.

Follow Wavemaker (@WavemakerGlobal) and AdExchanger (@adexchanger) on Twitter.

Tagged in:

Must Read

multiple sets of eyes

Amazon DSP Adds Adelaide’s Pre-Bid Attention Targeting

Advertisers can target high- and medium-attention ad inventory in Amazon DSP while filtering out low-attention placements and made-for-advertising sites.

Marketers Are Getting Used To AI In The Ad Stack

Marketers and media buyers are gradually getting more comfortable talking about ad campaigns they’re testing on large-language models like OpenAI’s ChatGPT.

For Video Publishers, Performance And AI Go Hand In Hand

In Connected TV Ad Land, proving performance is the priority for video advertisers. To drive more demonstrable reach and results, publishers are trying to expand their reach while wringing more data and AI features into their offerings. 

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

Independent Ad Tech Is Reframing Itself Around Cloud Hardware

Nowadays, programmatic vendors, and SSPs in particular, are carving new paths of differentiation based on their type of adoption of cloud infrastructure.

Ad Performance Hinges On Kicking Fragmentation’s Butt

As performance takes center-stage in more advertising discussions, demands to solve fragmentation and cruddy measurement are reaching a fever pitch.

AdExchanger's Big Story podcast with journalistic insights on advertising, marketing and ad tech

AI Off The Rails

A word of caution to digital advertising companies, as they go all in on AI algorithms: They need to build these solutions with ownership, governance and accountability from the start – or AI could sink them with a single mistake.