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How To Harness First-Party Data & Win In A Cookieless Future

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How To Harness First-Party Data & Win In A Cookieless Future

How prepared is your organization for the imminent loss of third-party data?

Are you ready for first-party data to take center stage in your marketing strategy?

Maybe you’re feeling unsure of how to use first-party data?

While cookies going away will reduce your access to third-party data, you can still strike the right balance with your acquisition strategies and provide your customers with high-converting, personalized experiences.

On April 27, I moderated a webinar with Vishal Maru, Vice President of Digital Solutions at iQuanti. He explained how enterprises could embrace the power of first-party data and better connect with their customers.

Here is a summary of the webinar. To access the entire presentation, complete the form.

How Advertisers Will Be Affected

The changing privacy landscape has a dramatic impact on the digital marketing ecosystem and is caused by:

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  • A change in customer mindset.
  • Privacy regulations, such as GDPR, CCPA, etc.
  • Privacy changes from key players, such as Google & Apple.

[See the full impact of privacy changes] Instantly access the webinar →

What This Means For Advertisers

The reduction and removal of third-party data has the potential to cause:

  • Ineffective targeting.
  • Challenges with measurement & attribution.
  • An inability to track reach and frequency.

These all lead to lower campaign efficiencies, lower advertising ROI, and scale limits.

Why First-Party Data?

First-party data is the only sure solution during these uncertain privacy changes, in terms of:

  • Accuracy.
  • Relevancy.
  • Availability.
  • Cost-effectiveness.

[Learn how first-party data can still provide incredible value] Instantly access the webinar →

How To Leverage First-Party Data Effectively

The great news is that first-party data already exists within your organization and marketing database.

The key is understanding how to locate, use, and implement your owned data:

  1. Segment.
  2. Actively increase ways to build first-party data.
  3. Optimize for profitability.
  4. Create partnerships to leverage second-party data.
  5. Personalize.
  6. Gather consent.

Key Components For Building A Strong First-Party Data Strategy

  1. Build a robust first-party data and MarTech infrastructure.
  2. Effectively leverage first-party data for digital activation.
  3. Effectively leverage first-party data for measurement and attribution.

[Learn exactly how publishers & retail segments are doing this] Instantly access the webinar →

How To Build A Roadmap For Implementation

Organizations face challenges with effectively leveraging first-party data for digital marketing.

These challenges are:

  • Organizational & data silos.
  • Lack of in-house capabilities.
  • Lack of effective full-funnel activation strategy.

Steps To Overcoming Challenges & Building A Roadmap

Step 1: Build a first-party data strategy.

  • Break organizational and data silos.
  • Come together to build a first-party data strategy (including identifying all data sources, data cleaning, mapping across the customer journey, and opportunities for building data).

Step 2: Invest in a robust infrastructure.

  • Use onboarding platforms – CDP, CMP, ID Resolution, personalization, GMP, etc.
  • Build a connected infrastructure.

Step 3: Build or augment capabilities.

  • Utilize data science, advanced analytics, and platform-specific (CDP, personalization, etc.) capabilities.
  • Augment resources.

Step 4: Activate first-party data effectively.

  • Segment for prioritization & personalization.
  • Take a full-funnel approach.
  • Leverage AI/ML for an advanced strategy (for example, predictive audiences).

[Find out how to get a first-party data self-assessment] Instantly access the webinar →

[Slides] How To Harness First-Party Data & Win In A Cookieless Future

Here’s the presentation:

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How To Harness First-Party Data & Win In A Cookieless Future from Search Engine Journal

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Google Clarifies Course Structured Data Requirements

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Google Clarifies Course Structured Data Requirements

Google updated the Course structured data requirements for appearing in the Course rich results. Failure to follow the guidelines may result in not qualifying for the rich result.

While the added requirement is not new, it was previously missing from the Course structured data requirements page.

Course Structured Data

The Schema structured data for courses is what schools use to appear in the associated rich results, which can appear as a carousel.

The official Schema.org website defines the Course structured data as:

“A description of an educational course which may be offered as distinct instances at which take place at different times or take place at different locations, or be offered through different media or modes of study.

An educational course is a sequence of one or more educational events and/or creative works which aims to build knowledge, competence or ability of learners.”

As long as schools follow the Google Search Central structured data guidelines and requirements for the Course structured data, students can find courses they’re looking for in the rich results triggered by educational course search queries, and everyone wins.

Unfortunately, the Course structured data guidelines were incomplete because they were missing an essential requirement.

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Google Clarifies How to Be Eligible for Rich Results

The change to the Course structured data was to add a requirement missing from the guidelines.

The change is described in a Google changelog:

“Clarified that you must add three courses to be eligible for the Course rich result. This is not a new requirement; it was previously only documented in the Carousel documentation.”

Google added additional sentences to the section of the Course structured data guidelines that is titled Technical Guidelines.

The new wording that was added is:

“You must mark up at least three courses. The courses can be on separate detail pages, or in an all-in-one page.

You must add Carousel markup to either a summary page or an all-in-one page.”

Previous to this clarification, developers and SEOs who followed the Course guidelines would not have known about this requirement unless they had looked at the Carousel structured data requirements.

All schools that failed to mark up three courses and add Carousel markup will not qualify for the Course rich results.

Additional Changes to Structured Data Guidelines

Previous to Google’s clarification of the Course structured data requirements, the word “carousel” appeared only two times.

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After the change, the word “carousel” appears six times in the new documentation.

The Carousel structured data requirements were important all along, but the previous documentation did not communicate that importance to the search community.

Check Your Structured Data

If the Course structured data has failed in the past to result in a rich result, it may be helpful to review the current structured data that’s on the pages to ensure that there are at least three courses marked up and that the Carousel markup is also used.


Citations

Read the Updated Course Structured Data Guidelines

Use Schema for Course Carousel

View an Archive of the Previous Guidelines

Archive.org Snapshot of Google Course Structured Data Guidelines

Image by Shutterstock/Maxim Gutsal

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