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Zenith Digital Unplugged: Being future-ready with Data Clean Rooms

Business Intelligence – Beauty and Personal Luxury

The Journey for “Consumer Privacy Norms” started in 2017 and has been the main driver behind new industry adoption of data regulations, tracking limitations, and data access. Industry response has led to updates that have demonstrated impact across the ad technology ecosystem, from basic conversion limitations to advanced measurement and targeting restrictions. One such advanced measurement & data coloration effort has been towards “Data clean rooms.”

Firstly, let us understand what Clean Rooms are or what do they do. Clean Rooms are secure environments that facilitate data collaboration or the matching and analysis of data, with consumer privacy and data security at the foundation. They enable all this without exposing data thus are completely compliant with Data Regulations.

A clean room’s main purpose is to mitigate consumer privacy and data security risk while maintaining critical marketing and media use cases.

The core functions of a clean room include:

  1. Protecting data custody (match data without moving data or sharing with 3rd parties)
  2. Identity is not leaked (linkages of individuals cannot occur)
  3. Attributes cannot be appended at user level (differential privacy)

Clean Rooms are continuing to develop as a privacy-enhancing technology solution, but the main goal of a clean room is data collaboration in a manner that mitigates risk while supporting critical marketing use cases.

Several of these use cases are:

  • Incrementality Testing & Experimentation
  • Reach & Frequency
  • Attribution
  • Audience Insights & Overlap
  • Lookalike or Propensity Modeling
  • 360 View of Customers
  • In Platform Conversion Optimization
  • AI-based Targeting

Currently, there are no standards for “clean rooms” in the marketplace. As such, everyone calls themselves a clean room. Each solution offers various levels of security, protections and privacy.

Below are various categories of privacy enhancing technology that help facilitate data collaboration:

  • Safe Haven (LiveRamp, Epsilon, Experian)
  • Cloud Specific (AWS Bastion, Snowflake)
  • Closed Ecosystem (Google’s Ads Data Hub)
  • Boutique – Cloud Agnostic (Infosum, Karlsgate, Habu)

A brand will need multiple clean rooms to develop a holistic understanding of their customers. When it comes to identifying the clean room you may need to implement, it is situational depending on various factors:

  • Use Cases – what use cases are most impactful to your business?
  • Privacy & Security – how many threat vectors does the technology mitigate for these use cases?
  • Data Science – do you have advanced programming language in SQL, R, Python support?

The main goal of a clean room is data collaboration in a manner that mitigates risk while supporting critical marketing use cases. As you get started, evaluate vendors based on priority use cases, business objectives and how many thread vectors it mitigates, but keep in mind the general key criteria is:

  • Protect data custody (match without moving)
  • Identity cannot be reverse engineered or leaked
  • Attributes cannot be appended at user level (differential privacy)
  • Data security at rest

 

Article originally published in Adgully.

14th October 2022

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Finding and leveraging First Party Data along with consumer pathway

Finding and leveraging
First Party Data
along with consumer pathway

Consumers are becoming more vocal about how their data is used and requiring transparency on when it is used by brands and companies. This is driving platform partners to limit the use of cookie technology (along with MAIDs), which are major drivers behind overall signal deprecation in the industry for advertising purposes, and national and regional regulations are governing the use of data in jurisdictions across the world. This evolution is instigating massive change. One thing we know for sure is that first-party party data will be resilient through this shift. Thus, building a strong foundation of owned first-party data assets is essential for marketers.

etween the marketer and the consumer through a consented opt-in. A robust first-party data strategy does not have to work exclusively with existing customer data. There is also a large opportunity to grow first-party data from prospective customers who represent incremental growth. Hard work is required to develop these relevant strategies and engagements across the consumer journey and privacy enhancing technology is required to manage the data as it is being collected and maintained.

Let us discuss in brief some of the strategies that can be deployed across each of this consumer journey phases.

Value exchange, transparency and privacy and consent are some of the key considerations for data collection approaches that need to be kept in mind while deploying the below strategies.

1. UNAWARE:

At this stage, brands can deploy tactics for Brand & Event Driven Data Collection in the following ways:

  • Media Buys – Lead Generation Ad Formats

Integrate a simple data collection form into paid media activity in order to easily collect consumer contact information.

  • Events that Drive Registration & Redemption 

Using branded events, sweepstakes, and virtual reality experiences are exciting ways to pique the interest of new consumers and encourage them to share data in exchange for personalized experiences.

  • Branded Digital Event to Drive Registration

Develop an event or competition hosted in digital channels that drive broad brand awareness and include a data collection mechanism.

  • Events Based on Cultural Moments

Associate with a relevant cultural event to drive brand awareness, while also collecting data through a product offer or competition.

  • Redeem Virtual Offers in the Real World

Connect real world and virtual experiences via the Metaverse to create customer interactions that generate first-party data. These experiences can then be connected to the real world, through online or in-store offer redemption mechanisms.

2. AWARE:

In the awareness phase, brands can engage in Information Value Exchange. Some of them can be:

  • Introduce a Chatbot to Act as a Digital Concierge

A chatbot, hosted on your website or in media units, can improve the consumer experience and offer an opportunity to build a connection with your consumers Chatbots are the fastest growing brand communication channel, with usage up 92% in 2020 according to Drift.

  • Learn More About Your Customers Through Surveys & Data Unions

Data Unions are new technologies that give users direct control over the data they share with companies. Once users have opted into sharing, advertisers can send them surveys, which users complete in exchange for a reward.

  • Create a Virtual Personalized Shopping Experience

Build digital experiences that enable a tailored online shopping journey in exchange for customer information they’d like to share.

  • Collect Customer Data Through an In-Store Experience

Well-designed in-store experiences can be used to drive customer interaction and collect contact information, product preferences or drive product purchase.

3. CONSIDERATION:

Some tactics brands can use for Data Collection at Points of Consideration are:

  • Advertise a Discount or Offer in Exchange for Data

Who doesn’t love a deal? Offering a product discount in exchange for contact information is a great way to establish a relationship and drive consumers to purchase.

  • Offers Driven by Influencers and Their Communities

Partner with an influencer to promote tailored products or offers. Choose influencers with an affinity to the brand and relevant audiences. Use paid media to amplify the activity.

  • Data Captured to Personalize Customer Experience 

Interactive experiences (for example, quizzes & forms) that support a consumer with customized suggestions and recommendations as they move through the purchase journey.

4. BUY:

Some ways to collect First-Party Data at Point-of-Purchase

  • Collect Valuable User Data @ Point of Purchase 

A direct-to-consumer purchase option is a great opportunity to build a relationship with a consumer and understand purchase trends and geographic location

  • Simplify the Purchase Experience with Automation

Automating the purchase experience can save consumers time and introduce new opportunities for data collection.

  • Connect the Full User Journey While Offering Convenience

By automatically connecting a loyalty scheme with the in-store experience, it’s possible to drive maximum shopping convenience, aiding purchase.

5. ENJOY:

Strategies brands can use for Post-Purchase Data Collection may involve:

  • Collect Customer Feedback or Reviews

Feedback forms are a great way to re-engage with customers and find out more about their experiences and preferences once they have completed a purchase.

  • Offer Engaging Experiences to Deepen Emotional Connections 

Enable interaction on product packaging via a QR code. Connect immediately to exclusive content, offering an opportunity to collect information.

  • Leverage Packaging to Drive Interaction & Data Capture

Create a virtual world around your product, driving consumer engagement and linking to data collection opportunities.

  • Digitise Elements of Product Use to Enrich Data Collection

Introduce a digital element to your product usage to both enhance the user experience and offer data collection opportunities.

  • Reward Your Customers with a Loyalty Program

Build a long-term consumer relationship with a holistic loyalty program encompassing offers, rewards and content in exchange for more detailed information.

We must remember that all consumer touchpoints are an opportunity to deliver value and collect consented first-party data.

 

Author: Anil Pandit, SVP, Publicis Media India

8th September 2022

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2022 Year in Review: Impact of Apple’s ATT

2022 Year in Review: Impact of
Apple’s ATT

When Apple introduced the new App Tracking Transparency Framework (ATT) to iOS 14.5 devices on April 26th 2021, it was expected that the policy would disproportionately impact social media apps like those from Meta, that use off-platform data signals to power ad personalisation and measurement. The industry consensus – and warning from Meta – was that advertisers were likely to experience rising costs; in their Q2 2022 earnings call, Meta cited “signal loss from Apple’s iOS changes” as a continued challenge, with CFO David Wehner forecasting earlier in the year that the overall impact of iOS as a headwind on the business in 2022 would be in the order of $10 billion*.

But was the impact felt by agencies and advertisers? Natalie Carder, Head of Paid Social at Zenith, reflects on the global effect of ATT on Meta advertising costs.

  • Year-on-year analysis found that the ATT update had a mixed impact, with differences expected due to a geographically varied mobile operating system market share as well as varying degrees of reliance on off-platform signals for targeting or optimisation, according to advertisers’ marketing goal.
  • In iOS dominant markets like the US and UK, there are signs that website sales-focused investment shifted from iOS towards Android after ATT, suggesting a loss in signals from iOS devices. There was also an upwards trend in traffic costs on iOS devices compared to Android. However, the impact on end ROAS varied with advertiser agility. Advertisers who embraced experimentation overcame the impact of signal loss through strategic optimisation. Black Friday results for one global advertiser show the benefit of a test-and-learn framework, with YoY ROAS in the UK increasing by more than 50%.
  • Cost-impact on brand metrics is harder to unpick, but analysis of some of our largest global advertisers suggests a year-on-year reduction in CPMs in iOS dominant markets, with average CPM falling 10-50%.
  • Similarly, in Android dominant markets, both brand and performance advertisings costs were more likely to trend downwards than upwards.
  • Overall, the average price-per-ad decreased 18% year-over-year according to Meta’s Q3 earnings results.

So, it would seem like the headwinds of ATT were not felt with the severity that Meta and the wider industry predicted. Clearly there were other auction-dynamics at play, or perhaps we have our agency specialists to thank for diligent optimisations.

*Sources:

Analysis based on 2022 YTD average CPM and average CPLC vs 2021, select global clients

Meta (2022). Q2 2022 Earnings Call Transcript, Meta (2022). Third Quarter 2022 Results

13th January 2023

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Business Intelligence – Beauty and Personal Luxury

Business Intelligence – Beauty and Personal Luxury

Welcome to Zenith’s Business Intelligence report on beauty and personal luxury, the third in a series that analyses the advertising, business and consumer behaviour trends shaping different categories.

Like all categories, beauty and personal luxury were deeply disrupted by the pandemic, but the changes in consumer behaviour affected different types of product in different ways. Demand for cosmetics and perfumes fell swiftly as people stopped meeting in person, but sales of skin care and hair care products held up as people focused on giving themselves small treats at home. Skin acre and hair care are also expected to lead growth during the recovery.

Faced with an entirely new and unexpected environment, some beauty brands led the way in using digital media for communication and commerce in 2020. They have been rapidly developing ecommerce technology that gives consumer the confidence to try on products and buy them remotely, while using digital media to substitute effectively for falling traditional magazine and television audiences. But the category as a whole is lagging behind and needs to follow their lead if they are to capitalise on the resurgence in demand expected in 2021 and 2022.

Consumers have changed a lot over the last year, becoming much more vocal about environmental damage and social injustice. Beauty and personal luxury brands will need to do even more to demonstrate to demanding customers how they benefit the world and society.

To view the full Business Intelligence report, please sign up to our mailing list.

Please view in a maximised pdf reader like Adobe Acrobat Reader for the best viewing experience.

25th January 2023

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The future of TV?

The future of TV?

Benoit Cacheux, Global Chief Digital Officer at Zenith, recently joined the virtual panel, “Understanding identity, behaviour and context,” at Mediatel’s The Future of TV Advertising Global conference. This event was moderated by Cadi Jones, Commercial Director EMEA at Beeswax, and Benoit was joined by Lara Izlan, Director, Advertising Data & Analytics at ITV, Steve Martin, MD International Data at LiveRamp and Miles Pritchard, Managing Partner – Data Management Solutions at OMD. Below are some of the areas the group discussed with Benoit’s contribution.

Survival of the third-party cookie post the upcoming Chrome changes.

With Chrome reaching a global penetration of 70%, and Safari and Firefox at about 18%, it has become very clear that the third-party cookie in its current form is unlikely to survive. However, we see new ideas coming up on how to replace the third-party cookie and are very positive about what the industry is doing to reinvent digital marketing.

First party data has never been more important, especially for advertisers who have been reliant on third party data. A deep focus on first party data can help advertisers unlock new opportunities for efficiency and effectiveness.

We see many interesting initiatives worth evaluating and testing; think what the TradeDesk is doing with their unified ID 2.0, what ID5 is doing with publishers, clean rooms for log-level analysis, Google with Ads Data Hub on Google Cloud, Liveramp, etc.

Last year, Publicis Groupe acquired Epsilon, a leader in data, which built an identity graph that is not reliant on third party cookies. We’re using this opportunity to share their latest survey on this topic, which is available here.

Headlines from their survey shows the level of anxiety these upcoming changes are creating:

  1. Most marketers are very or moderately reliant on third-party cookies.
  2. Less than half of marketers feel “very prepared” for the change.
  3. Actual benefits to consumers are in question.
  4. Seventy percent of marketers believe digital advertising will take a step backward.

The depreciation of the third-party cookie and the potential impact for addressable TV and premium video.   

Whilst the changes linked to the post-cookie world are not positive (GDPR was the first big negative impact on the digital user experience, and the disappearance of third-party cookies could be the second significant trigger for an even worse user experience), you have to be objective about the current situation and where the money goes when we talk about addressable TV and online video. The reality is a large majority of this inventory is not reliant on third-party cookies (including Adsmart, broadcast video-on-demand, YouTube and video on social platforms).  

Back to the future, are we entering a new era for contextual targeting?

There’s no doubt contextual targeting is growing; we’re seeing industry stats confirming its growth. Contextual advertising is forecast to grow worldwide by 18.5%. But we’re not going back to the future because contextual is getting much more sophisticated than before with the use of machine learning techniques, such as natural language processing techniques, used to understand context beyond a few keywords in a URL or webpage content.

It’s also growing because of its ability to offer a whole new way to look at brand safety and have a smarter approach at driving reach (vs. blanket exclusion lists). 

Likely winners in a post-cookie world. 

We see different type of winners: the most likely ones are the walled gardens. Publishers who have been smart with data acquisition, paywalls and who are working on stable identifiers will also be able to compete and win their fair share.

The losers are the ones who are standing still and not proposing solutions. I do worry, however, about more traditional publishers who are not trying to take control of their destiny.

Concerns around the possibility of fraud in the connected TV environment.

Connected TV (CTV) and over-the-top (OTT) programmatic advertising have gained exponential popularity. In 2019, these forms of content consumption reached new highs following rapid growth. Together they showed a 330% global rise with at least 50% quarter-over-quarter growth, according to Pixalate. Digital marketing measurement provider DoubleVerify outlined a surge of fraud in CTV platforms in a report detailing the state of the market in 2020. For example, DoubleVerify claims to have found 1,300 fraudulent apps in CTV since March 2019 (60% were detected in 2020 alone). It measured a 161% increase in fraudulent CTV traffic rates in Q1 2020 vs Q1 2019., which shows how careful we should be when buying in this area.

You should select the best ad verification companies specializing in connected TVs to help you control performance on CTV. We would also recommend spending time curating your own CTV inventory, so you limit the number of partners and publishers and strive for quality over quantity.

22nd December 2020

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