Home Data-Driven Thinking In The Post-Cookie Era, Data Collection Must Be More Active And Goal-Oriented

In The Post-Cookie Era, Data Collection Must Be More Active And Goal-Oriented

SHARE:
Matt Chmiel, strategy director at Siberia

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 Matt Chmiel, strategy director at Siberia.

The most successful marketers recognize the difference between passive data collection functionality and dynamic data collection experiences. 

Today’s digital market is built on a passive data collection infrastructure that automatically translates a user’s visit into actionable marketing data (think third-party cookies and other stealthy data functions).

The post-cookie marketplace must be reimagined for active customer data collection. In this context, both the customer and brand are incentivized to create a more direct and reciprocal relationship in which both reap the benefits. The value exchange is transparent, and customers control their data, alleviating privacy concerns.

How do you make the journey from passive to active data collection?

Start with these four steps.

  1. Explore ways to attract and keep customers engaged

Draw inspiration from loyalty programs, such as those provided by Sephora and Starbucks, to create a better value exchange between brand and customer.

And allow customers to set preferences early and be transparent about how the information will be used. For example, Jebbit is a platform that enables brands to set up customer quizzes that collect preferences for their products. In return, the brand will make recommendations based on those preferences. The interaction ends with a request for an email. 

  1. Think about customer relationship management 

We’re all witnessing the race to capture as much data as possible to replace third-party cookies. But it’s what you do with that data and how you manage it that counts. 

There must be more centralization and organization of data as you transition into active collection methods. This essential operational component ensures the collected data converts into meaningful customer outcomes. Without it, brands risk deploying a constellation of one-off features that do not merge into a complete customer picture. 

It is also essential to set the frequency and cadence of customer interactions. To put it more directly, do not act thirsty about data collection. You risk losing the customer before they engage.

  1. Keep Web3 top of mind 

Web3 promises a new digital environment that can codify customer relationships differently. 

Nike’s acquisition of RTFKT demonstrates this thinking and has been resonating with its customers. According to data from Dune Analytics, with just six drops, including a virtual sneaker collection called Cryptokicks and an AR hoodie paired with a real-life counterpart, the partnership has helped Nike’s total NFT revenue reach more than $185 million.

  1. Research, research, research

Spend time determining the mindsets and behaviors of your customers. Then design your data collection mechanisms and product features accordingly. 

Are your customers paralyzed by choice while having fun browsing? Invest in interactive recommendation engines that turn excess inventory into a user identity. This is what it means to understand the value exchange in an active data collection paradigm. 

Understanding how your customers engage with your brand can save time, money, and heartache as you roll out active data collection features.

In Jebbit’s case, customers understand that answering playful questions generates data that forms a user profile that delivers targeted product recommendations. They are incentivized to tailor, tweak, and adjust their profile over time, improving their recommendations and offers. 

The bottom line: The key to handling the eventual demise of cookies is recognizing the difference between passive and active data collection. 

The outgoing system allowed brands to ignore how their customers’ data was collected. The future of data collection requires design thinking, audience research and many rounds of experimentation and refinement. 

In following this path, marketers and brands will be on the right track to smoothly wean off cookies come 2024.

Follow Siberia on LinkedIn and AdExchanger (@adexchanger) on Twitter.

Must Read

WBD Hopes To Buoy Linear TV Long Enough For Streaming To Find Its Way

Warner Bros. Discovery cited softer ad sales growth and the continued decline of linear TV as its reasons for missing investor expectations in Q2. Unsurprisingly, streaming ads are the biggest bright spot on WBD’s earnings report card.

Comic: The Mobile Freight Train

AppLovin Asks For Patience As It Grows Its Ecommerce And Consumer Ads Business

“We’re deemed a new bucket, so a testing category,” AppLovin CEO told investors regarding its nascent consumer and ecommerce ads business. “And to graduate up takes time. This stuff compounds over quarters and years.”

Magnite Doesn’t Want To Be A DSP. It Just Wants To Own The Decisioning Layer

On Wednesday, Magnite CEO Michael Barrett painted a picture of a company that’s edging into the buy side by adding more DSP-style capabilities for planning and activation.

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

For Cuisinart, AI-Generated Ads Are As Handy As A Kitchen Blender

Cuisinart’s marketing team has been eager to take advantage of generative AI-based creative.

Paramount Skydance Insists The WBD Merger Will Be Good For The Media And Ad Industry

During Paramount Skydance’s Q2 earnings call, CEO David Ellison limited his remarks to a two-minute monologue about the company’s confidence in the intended merger. 

AI Agents Are Giving Publishers A New Way To Monetize Their Data

Here’s how PubMatic and Optable are using AI to help publishers turn first-party data into new ad deals and reach more buyers.