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The path to personalized advertising post-cookies

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Identity and the changing measurement landscape

In the not-too-distant future, most of the signals we get from third-party cookies and devices will be all but gone. And while identity players are already in-market to fill the void, much of the focus is on overall audience addressability. While addressability is paramount, marketers are also looking for ways they can create personalized experiences without cookies. 

As digital marketers, we know that insight is the key to personalization. In lieu of browser and device data, forward-thinking marketers are testing other insight-rich sources to build audience profiles that don’t rely on traditional bread crumb trails. I caught up with a few marketers to see what tools and techniques they are implementing to stay ahead of the game. 

CDPs and identity solutions 

CDPs and identity graphs build a single view of a user, including explicit and implicit interests and preferences. This singular identity stitches together a host of signals to deliver a 360-degree view to power personalization without third-party cookies.

Working with an established CDP or identity platform keeps all the identifiers related to a customer in one place, including personally identifiable information (PII) like usernames and phone numbers, as well as non-PIIs signals like first-party cookies and publisher IDs. Marketers can leverage these CDPs or identity graph databases to build omnichannel views for customers and prospects, enabling them to create personalized ads and messaging across various touchpoints.

Marketers who work with CDPs or identity platforms can capture data from over a hundred touchpoints, and build a unified view across their entire CRM to drive personalized messaging. Using advanced analytics and modeling, marketers can create a variety of personalization scenarios based on different channels, intent signals, and propensity scores for each user. And connecting the ad identifiers using a virtual ID allows for not only converged addressability but also helps to drive cross-channel personalization.

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Second-party data 

Another way to get around the loss of third-party cookies is to start building second-party data. This type of incremental audience data is created when a marketer combines their data with another brand or publisher data set to yield new insights and audiences beyond what is available in their own CRM or subscriber database.

The advantages of building substantial second-party audiences allow a marketer to expand their consumer data pool and, more importantly, provide access to more relevant consumer data than marketers would get with third-party cookies or data. Because second-party data involves combining similar yet disparate data sets, the yield is high on actionable insights. It will almost always perform better than a marketer who pays for aggregated third-party data.

This strategy is most useful for more prominent brands or marketers who have built an extensive database of customers. Finding a willing partner might not be easy for small businesses or newer companies that haven’t had the chance to build up their own first-party data. To make this strategy work, you must find a partner to share data with you and then disclose the relationship on your website if you share your customers’ data with another company. Building these second-party audiences has become a cornerstone service for data clean rooms or cloud service providers, including Infosum and Snowflake.

Read next: Why we care about data clean rooms

Contextual advertising

For years, we’ve seen contextual targeting touted as an alternative to cookies. This approach focuses on the content consumed — the context of the blog post, video, or other content the person is engaging with — rather than personal information.

As a result, there’s little to no risk around data privacy. Yet, digital marketers can still offer highly personalized content and ads.

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While contextual advertising is nothing new to marketers, what has changed is that AI is now used by more advanced providers that can get granular with contextual targeting. Marketers have a continuum of targets they can build personalization around, including metadata, titles, related keywords, comments, and more. By mining this information and looking for signals, marketers gain in-depth insights into their customers that are used for cross-channel personalization and messaging.

This ever-evolving world of contextual advertising and personalization may require marketers to brush up on their skill sets and learn more about how it works today and how it can be leveraged not only for addressability but as a tool for personalization. And, unlike older contextual marketing models that relied heavily on keywords, new contextual targeting tools rely on natural language processing and image recognition.

These more recent algorithms can also grasp the sentiment of pages and apps with unprecedented speed and reliability. Altogether, this enables marketers to display personalized ads in an environment that is both highly relevant for their potential customers and safe for their brands. 


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Location and interest-based targeting 

Remembering that high-quality intent data for personalization can be captured offline is more important than ever. Where your customers and prospects go or hang out regularly can be equally crucial for insights and personalization opportunities. 

Location data companies like Safegraph, Simple.fi and Factual create rich audience profiles based on pre-determined points of interest and stitch them to their ID, or into cookie-free IDs like UID, for cross-channel and personalized targeting. These companies often have thousands of locations mapped, including quick-serve restaurants, airports, retail stores and golf courses, to name a few. 

Real-world insights from location data can drive personalization using explicit information, including the type of store or location visited, to inferred demographic, affluence and other information to allow for an additional lever to use when developing personalization models.  

In much the same way location-based data provides a slightly more “meta” approach to personalization, interest-based advertising bundles website visitors into broad content topics based on a visitor’s behavior. The most talked about of these interest-based targeting and personalization platforms is Google’s most recently proposed concept, Topics, which replaces its initial strategy, Federated Learning of Cohorts (FLoC). The idea behind Topics is that the browser learns about users’ interests as they surf the web and shares their top interests with participating websites for advertising purposes. All this happens behind their walled garden by categorizing the websites a user visits into a limited set of around 350 broad topics, such as gym-goers or sports car enthusiasts. 

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When a user visits a website that supports the Topics API, the browser will choose up to three topics on their device from their most frequent topics in the last three weeks and share them with this website. The website and its advertising partners can then use these topics to determine which type of personalized ad to display. 

While the jury is still out on Topics, Google claims that Topics is more private and offers greater transparency and user control than FLoC and cookie-based targeting. Still, many specifics of the concept are yet to be released. 

Better first-party data for personalization

If you want to truly deliver personalized experiences, you need to know who your users are, and an email address is a great first step to building out their profile.

Amp up your user registration. Utilize all the touchpoints site where exchanging information for newsletter sign-ups, cart check-out, discount codes or loyalty programs. ‍

Build more robust customer profiles. Start small but capture as much information as you can about your customers. Integrate additional data collection touchpoints. Follow up with new email subscribers with quick buttons to capture preference data to better target content and products.‍

Engage with email and SMS marketing. Make the most out of email and text message to drive up customer engagement. Send personalized offers and content to users based on their behavior on your site and follow up personalized SMS for special sales, promotions, and discounts.

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All in all, the demise of the third-party cookies and the constraints on device-level data doesn’t mean an end to ad personalization; marketers will be utilizing a host of alternate data and IDs to drive cross-channel personalization. Combined, these new tools and tactics will allow marketers to continue having personalized conversations with their customers and prospects. 


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

A leader in the data-driven AdTech space that spans 20 years across both the US and the EU. Ken Zachmann’s worked on the ground floor of a data start-up that yielded an eight-figure exit and served as VP and SVP for two leading digital data firms and saw them through to acquisition in 2017.
In 2018 Ken launched his first consulting firm focused on identity-based solutions and helping companies navigate a cookie-less future. Ken’s background in data and identity resolution, paired with his experience of living and working in both the US and Germany, has afforded him a unique understanding of the complexities of sourcing and building data, identity and measurement solutions.

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MARKETING

Trends in Content Localization – Moz

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Trends in Content Localization - Moz

Multinational fast food chains are one of the best-known examples of recognizing that product menus may sometimes have to change significantly to serve distinct audiences. The above video is just a short run-through of the same business selling smokehouse burgers, kofta, paneer, and rice bowls in an effort to appeal to people in a variety of places. I can’t personally judge the validity of these representations, but what I can see is that, in such cases, you don’t merely localize your content but the products on which your content is founded.

Sometimes, even the branding of businesses is different around the world; what we call Burger King in America is Hungry Jack’s in Australia, Lays potato chips here are Sabritas in Mexico, and DiGiorno frozen pizza is familiar in the US, but Canada knows it as Delissio.

Tales of product tailoring failures often become famous, likely because some of them may seem humorous from a distance, but cultural sensitivity should always be taken seriously. If a brand you are marketing is on its way to becoming a large global seller, the best insurance against reputation damage and revenue loss as a result of cultural insensitivity is to employ regional and cultural experts whose first-hand and lived experiences can steward the organization in acting with awareness and respect.

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How AI Is Redefining Startup GTM Strategy

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How AI Is Redefining Startup GTM Strategy

AI and startups? It just makes sense.

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More promotions and more layoffs

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More promotions and more layoffs

For martech professionals salaries are good and promotions are coming faster, unfortunately, layoffs are coming faster, too. That’s according to the just-released 2024 Martech Salary and Career Survey. Another very unfortunate finding: The median salary of women below the C-suite level is 35% less than what men earn.

The last year saw many different economic trends, some at odds with each other. Although unemployment remained very low overall and the economy grew, some businesses — especially those in technology and media — cut both jobs and spending. Reasons cited for the cuts include during the early years of the pandemic, higher interest rates and corporate greed.

Dig deeper: How to overcome marketing budget cuts and hiring freezes

Be that as it may, for the employed it remains a good time to be a martech professional. Salaries remain lucrative compared to many other professions, with an overall median salary of $128,643. 

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Here are the median salaries by role:

  • Senior management $199,653
  • Director $157,776
  • Manager $99,510
  • Staff $89,126

Senior managers make more than twice what staff make. Directors and up had a $163,395 median salary compared to manager/staff roles, where the median was $94,818.

One-third of those surveyed said they were promoted in the last 12 months, a finding that was nearly equal among director+ (32%) and managers and staff (30%). 

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Extend the time frame to two years, and nearly three-quarters of director+ respondents say they received a promotion, while the same can be said for two-thirds of manager and staff respondents.

Dig deeper: Skills-based hiring for modern marketing teams

Employee turnover 

In 2023, we asked survey respondents if they noticed an increase in employee churn and whether they would classify that churn as a “moderate” or “significant” increase. For 2024, given the attention on cost reductions and layoffs, we asked if the churn they witnessed was “voluntary” (e.g., people leaving for another role) or “involuntary” (e.g., a layoff or dismissal). More than half of the marketing technology professionals said churn increased in the last year. Nearly one-third classified most of the churn as “involuntary.”

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Men and Women

Screenshot 2024 03 21 124540Screenshot 2024 03 21 124540

This year, instead of using average salary figures, we used the median figures to lessen the impact of outliers in the salary data. As a result, the gap between salaries for men and women is even more glaring than it was previously.

In last year’s report, men earned an average of 24% more than women. This year the median salary of men is 35% more than the median salary of women. That is until you get to the upper echelons. Women at director and up earned 5% more than men.

Methodology

The 2024 MarTech Salary and Career Survey is a joint project of MarTech.org and chiefmartec.com. We surveyed 305 marketers between December 2023 and February 2024; 297 of those provided salary information. Nearly 63% (191) of respondents live in North America; 16% (50) live in Western Europe. The conclusions in this report are limited to responses from those individuals only. Other regions were excluded due to the limited number of respondents. 

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Download your copy of the 2024 MarTech Salary and Career Survey here. No registration is required.

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