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By Chris Sutcliffe 

At the Google Marketing Live event, the search giant announced further plans for its AI tools, promising that it will ‘continue to shape the future of marketing’. Here are the five most important insights for marketers.

AI ads are launching in Search results

For marketers, the most interesting development is likely to be the integration of AI-generated ads into search results across Google’s properties, under the title of ‘Search Generative Experience (SGE)’. The ads, which take the user’s prompt or query and build out a few paragraphs of information with associated and relevant products, are set to be deployed across the US initially.

The ads will be distinguished from other search results and labelled as ‘sponsored’ in bold text.

It has been suggested by multiple marketers and analysts that search is set to be among the most thoroughly disrupted areas of marketing due to AI tools, explaining why Google is so keen to prove its existing search-based marketing options are compatible with the tech.

Human interaction is a must

Following that process, Google’s AI tech will generate a list of suggested keywords, images from both the company’s site or a stock library, and headlines for the ad. The advertiser will be able to provide feedback and fine-tune the ad before it is deployed into search. Ultimately, despite the hype around AI, it is being marketed as a tool that requires human sign-off before the ads are deployed.

Cheaper and faster

Despite the allure of the tech, the big selling point to marketers is around bringing the cost of advertising down. Maximizing marketing efficiencies are seen as a big priority for advertisers this year, so a large part of the selling point is around bringing costs down.

Google has stated that early adopters have reported 2% more conversions at a similar cost per conversion. Because the tool is integrated into the existing Search and Performance Max campaigns, there are no pricing differences for its use.

Generative AI images

In addition to the in-search ads, Google also announced that marketers in the US will be among the first to use its generative AI tool for product images. Noting that multiple images have an impact on the success of ads – generating up to 76% increase in impressions and a 32% increase in clickthrough – Google’s team also pointed out that it is costly to manually create those ads.

As a result, the new tool is designed to streamline that process, by using generative AI to create multiple iterations of an image on the fly with different backgrounds, colour tones, increased resolution and more.

Ahead of the curve

Microsoft founder Bill Gates has recently stated that AI-powered personal assistants will severely impact the business models of Google and Amazon in particular. Speaking at the AI Forward 2023, he said: “Whoever wins the personal agent, that’s the big thing, because you will never go to a search site again, you will never go to a productivity site, you’ll never go to Amazon again”.

Google, like most of the major tech companies, has been working on AI tools for years, and it already powers many marketing transactions behind the scenes. With the advent of consumer-facing tools like ChatGPT, however, the pressure has been on large tech firms to prove they are keeping pace with generative AI. An early demonstration of Google’s AI tool Bard was met with a negative reception due to a perceived error in one of its answers, and has in part led to concerns of safety and misinformation across the AI ecosystem.

For Google, then, the opportunity related to AI-generated ads with its search results is to demonstrate to marketers that it is still at the head of the pack with the new tech. By providing figures that demonstrate the cost- and time-saving nature of the tool it will be hoping to prove Bill Gates wrong and ensure that marketers continue spending on its owned and operated platforms.

By Chris Sutcliffe 

Sourced from The Drum

By Mike Froggatt

According to Gartner research, just over a quarter of all marketing budgets go toward paid media, with 56% of that spent on digital channels. Proving return on ad spend is already difficult for digital marketing leaders, and changes to cookies and walled gardens strengthening their own walls will make it even more challenging.

Third-party cookie data fuelled two decades of digital media and data-driven performance advertising. It’s no wonder cookie deprecation and restrictions on third-party data are transforming the way marketers target, buy and measure digital media.

In addition to the immediate impacts of cookie loss, the increased regulatory pressures on walled gardens is creating an environment of more black box algorithms and fewer data points with which to measure and independently verify results. Of the three privacy scenarios proposed by my colleague Andrew Frank, we are quickly moving to a walled garden world. And the biggest among them, Google, is at the front of the pack.

Aside from the (continually delayed) deprecation of the cookie, Google has another fast-approaching deadline that will impact almost every marketer with a website: the sunsetting of Universal Analytics.

As my colleague Lizzy Foo Kune shared with The Drum last year, the migration to Google Analytics 4 (GA4) entails an urgent overhaul to long-standing marketing data collection, measurement baselines and operational approaches — and deeper ties to Google’s ad ecosystem. GA4 highlights the data usage and consent gaps between acquisition-oriented advertising and retention-and-growth marketing but provides bridging mechanisms such as lookalike modelling, retargeting, pathing and attribution.

Digital advertising is vital for the success of modern brands, for driving both top-of-funnel awareness and bottom-of-funnel consideration and sales. Key to their success is access to data about their prospects’ and customers’ online behaviour, which helps marketers target and personalize their campaign efforts. Regulations on the collection and sharing of consumer data is prompting major data providers and adtech alike to change how their platforms collect, store and share this data with advertisers.

To maintain their digital media effectiveness, marketers need to build resilience and evaluate existing digital partners for cookie and walled garden alternatives.

Build a cookieless and walled garden risk profile

Purchasing display ads indirectly indicates a high reliance on third-party cookies. Brands with campaigns that rely heavily on indirect impressions could be highly susceptible to disruption from additional privacy changes from walled gardens and limits on third-party tracking from regulatory bodies.

Brands should ensure that their website and digital media campaigns – and the data collected and used to target ads – are both privacy compliant and effective in the face of those challenges by:

  • Owning, assigning someone on the team or finding a trusted partner to keep up with the latest news on privacy changes, cookies and third-party data regulation and their impact on the brand’s business.
  • Building first-party data assets by homing in on core customers and building direct-buying relationships with strategically important media partners.
  • Working across the organization to ensure compliance across user data collection and digital media activation.
  • Partnering with media companies, as well as established and emerging technology firms, to test novel targeting strategies (e.g., Google’s Topics, contextual targeting, data clean rooms) that reduce the eventual impact of the loss of cookies on existing media strategies.

Once an organization understands how its digital media is purchased, either with an internal analysis or a report from its agency partners, determine the risk exposure to the company’s marketing programs. Privacy changes and cookie deprecation’s impact on advertising depend on two factors: sales strategy (direct or third-party sales) and media strategy (brand versus performance marketing).

Risk assessment chart from Gartner

Source: Gartner (May 2023)

Sales strategy and the proximity to the final sale are indicative of the relationship with the customer, including the receiving consent to use their data for retargeting and other conversion-oriented digital advertising tactics. Media strategy indicates the number of existing relationships brands have with their target audiences to deploy in a privacy-safe way and their reliance on advertising partners.

Limit exposure to changes in the long run

After determining the organization’s cookie risk profile and building overall resilience to disruption, follow some of these next steps, tailored for each profile, to limit exposure to changes:

  • Conversion-seeking brands should focus on the core value of their products to consumers and continue to build upon that niche in addition to investing in performance media partners. Work on increasing the loyalty of existing customers and growing through the network effects of word-of-mouth on social media and outside of digital.
  • Legacy wholesale brands should maintain mind share through their broad brand advertising strategies while leveraging emerging channels like retail media networks. These channels can help fill any potential gaps in performance advertising left by changes to walled gardens and third-party data.
  • Direct-to-consumer and mono-brand retail brands should leverage their consent-based first-party data and close relationships with customers to focus their ad spend across trusted sites and apps. With Universal Analytics’ sunset imminent, it is imperative for digital marketing leaders to start collecting data with both UA and GA4 now in order to test for data compatibility and source appropriate alternatives for signal loss.
  • Platform and multichannel retail brands must continue to innovate on their existing sites, apps and product suite to stay at the forefront of customer needs. If the brand is a Google Analytics site, it’s important to prepare for fewer granular data points on site visitors in exchange for more targeting options within the Google media properties. In addition, work with marketing technology providers to expand revenue opportunities by leveraging audience and conversion data for brands in high-risk, legacy and direct profiles.

Mike Froggatt is senior director, analyst in Gartner’s marketing practice. To read more from The Drum’s latest Deep Dive, where we’ll be demystifying data & privacy for marketers in 2023, head over to our special hub.

Feature Image Credit: Myriam Jessier

By Mike Froggatt

Mike Froggatt is senior director, analyst in Gartner’s marketing practice. To read more from The Drum’s latest Deep Dive, where we’ll be demystifying data & privacy for marketers in 2023, head over to our special hub.

Sourced from The Drum

By Chris Sutcliffe

With ad units coming to some of Apple’s most-used apps next year, experts ponder what the ad buying platform will look like and whether its core audience will accept the interruption.

Apple brings in an estimated $4bn a year from advertising revenue, but its ambition is to scale that up to achieve greater revenue stability. As such, ads are set to show in its Maps app from early next year, in addition to select spots in the App Store’s ’Today’ tab and at the bottom of app listings.

Mike Woosley, chief operating officer at data management platform Lotame, says: “Apple is diversifying its revenue streams to smooth out economic shocks, and its services segment – where it hides its advertising business – has grown 12% this year.“ He likens its emphasis on advertising in the face of hardware saturation to Netflix’s ongoing pivot to an ad-supported version of its streaming service as paid subscriptions reached saturation.

“And if Apple wants growth in advertising, it’s not afraid to scorch the earth to get it,“ he says. “When it was ready to get serious about ad revenue, it locked down its device-related advertising ID, stripping developers of the ability to identify users across sessions and domains, leaving Apple as the sole king of identity on its phones.“

To date, Apple has been more selective than the majority of its competitors when it comes to advertising on its owned and operated platforms. Google has long included ad slots in some of its own tools, with Google Maps offering paid-for results at a local level. By contrast, Apple has focused on providing more streamlined products and making the ad-free nature of its services part and parcel of its appeal to users.

Paul Dimmock, head of demand EMEA at Alkimi Exchange, explains that even though it has long derided advertising, this is not Apple’s first attempt to make ads a core part of its appeal to brands: “iAds, which launched in 2014, was essentially a programmatic network of Apple inventory only. This lasted two years, being closed down in 2016 due to a lack of demand.

“Based on that failure, I would expect that a new Apple buying platform would activate across its owned and operated properties, as well as third parties, as this would – in theory – better justify the inevitable significant costs of building adtech from scratch.”

But while consumers are habituated to ads across those other platforms, it remains to be seen whether Apple’s core audience will accept the introduction of ads into services that have previously been ad-free. Dr Paul Hayton, the founder and chief technology officer of mobile DSP Dataseat, which is part of Verve Group, says that Apple tends to avoid intrusive ads that interrupt the user experience, “so we’re unlikely to see a promotion for something irrelevant like a mobile game in its maps app“.

He goes on: “I expect ads to be highly targeted and entirely based on the search a user makes and the location they’re in when using the app. For example, a search for directions in a seaside town like Poole might prompt an ad for a business that does fishing trips. This format won’t come as a surprise to consumers who’ve been accustomed to Google Maps since 2016. If Apple can present ads in a seamless and relevant way as it does for its search ads within the App Store, users will be unlikely to be put off by them and, in many cases, will probably not even notice that they’re ads.”

Reports suggest that Apple will include Google Search-like results in its Maps app, rather than banner ads, and that it is aiming to broaden its ad network to include its books and podcast apps, in which publishers could pay to appear higher in search results. As Dimmock argues, the likelihood is that Apple will emulate Amazon’s recent approaches to its DSP, offering buyers the ability to buy programmatically both on and off its platform. This allows it greater control over the ecosystem on its own services, while also making a play to increase market share elsewhere.

Ultimately, though, the transition from ad-free to ad-laden experiences is tough to navigate, even for a company with as large a market share for smartphones as Apple. Nailing the user experience will determine whether Apple’s ad ambitions will come to pass.

By Chris Sutcliffe

Sourced from The Drum

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PepsiCo is in the process of building out an in-house team dedicated to bridging data with media planning in anticipation of the company’s “data-driven future”, The Drum has learned.

The North American outfit will be known internally as the media and consumer data team. It comes with a remit of bringing together the “science of data with media insights and activation” and shaping the beverage company’s core digital media and adtech strategies, according to postings on its jobs site.

The company has been recruiting roles in the fields of CRM, digital, data management, shopper marketing and AdTech.

The latter’s roles, in particular, will be crucial to implementing the company’s refreshed approach to digital media buying. Pepsi is looking to create and implement a new adtech strategy, inclusive of first party, third party, social, and connected partner data.

The new adtech vision will see an in-house team sit at the core and work with external vendors.

Execs within this function will also be expected to launch internal marketing initiatives to “build awareness and adoption of the adtech” within the company. PepsiCo is set to recruit for the first time an adtech senior analyst and an adtech lead.

The team will be headed up by Mike Scafidi, the company’s director of marketing technology and data strategy. The Razorfish veteran took up the role in October 2018 after leading PepsiCo’s ‘data accelerator’ for nearly two years.

Scafidi stated his new function will “be working every day to drive the organization’s data-driven future”.

The company unveiled an in-house ‘augmented intelligence’ tech dubbed Ada last year, in partnership with automated marketing platform Zappi. It hopes the AI will allow for a more seamless processing of its data in order to better inform marketing, pricing and sales decisions internally.

Outside of North America, PepsiCo has been putting more pressure on its media agencies to deliver stronger online media results through innovation. It recently partnered with Mindshare in APAC to test a blockchain programmatic alliance, which resulted in a 28% uplift in the efficiency of viewable impressions through the deployment of ‘smart contracts’.

PepsiCo has slowly been bringing its marketing functions in-house for some time. Back in 2015, its president at the time, Brad Jakeman, predicted “the agency model is not going to bend, it’s going to break” and warned agencies they would be getting a “smaller and smaller share of the pie”.

It has since pulled its core social media teams in-house and recently ended its relationship with VMLY&R, which had run its digital accounts for Gatorade and Tropicana for the best part of eight years.

The company’s in-house creative team, Creators League Studio, was famously responsible for the disastrous 2017 release of a spot featuring Kendall Jenner.

However, it recently tapped Goodby Silverstein & Partners for its 2019 Super Bowl spot.

Pepsi did not respond to The Drum’s requests for comment.

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Sourced from The Drum

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Once Apple’s ITP model is adopted more broadly across the web’s leading browsers and publishers, it will change everything. We are going to need a good flashlight.

When you live in an earthquake state, you’re highly attuned to things that don’t matter elsewhere. You’re aware, for example, of the open shelving in your kitchen – is the stemware so attractively displayed there vulnerable to shattering in one fell swoop? Do you have a decent insurance policy? Does your flashlight even have batteries? You’re always, to some extent, prepping for “the big one,” the quake all of the natural scientists warn about: the one that will compromise the ground we stand on, that we’ve built our houses on. The one that will change everything.

Today, the digital advertising industry is facing a major shakeup, and Apple’s Intelligent Tracking Prevention rollouts, now officially at version 2.2, can be considered the first tremor. Cookie-based, cross-web user analytics has been, for a long time, the earth crust of this ecosystem – and it’s crumbling. Though perhaps not physically life threatening, marketers best not ignore the warning signs, because these rules and changes, once adopted more broadly across the web’s leading browsers and publishers, will indeed change everything.

So I’ll ask: does your flashlight even have batteries?

The implications of broadened ITP adoption

Suffice it to say, Apple’s ITP restrictions have made it more difficult for marketers to measure Safari traffic – who comprise 21% of mobile and 10% of desktop browser users worldwide (no insignificant chunk) – for remarketing, to accurately attribute conversions, and to run reliable A/B tests. By capping (even) first-party cookies to one day, your independent view of the behavior of your Safari base over time, across websites and devices, will be limited.

But what if you don’t live in an earthquake state? In other words, what if your Safari users are an even smaller than average portion of your specific audience? Consider that Google Chrome, where another 60% of mobile and 69% of desktop browser action takes place, is reportedly contemplating blocking third party cookies soon, as well. We still don’t know exactly when or to what degree Google will increase individual privacy protection by restricting cookies on Chrome, and we can expect it won’t be as extreme. Regardless, when it does, some of those limits will extend to the vast majority of your user base. In other words, the fault line is only expanding, and quick.

Attribution in shards

Since both your campaign optimizations and investment strategies are (hopefully!) based on this holistic, cross-channel understanding of your audience and their measured engagement with your brand, it’s easy to see how, without this very foundation, those wedding-registry champagne glasses you finally had a dinner party for are about to come tumbling off the shelf. Just when you started to feel good about your multi-touch attribution model and sophisticated retargeting strategy, ITP expansion will leave serious gaps in your ability to connect the dots between your customer touchpoints. Your marketing channels, long predicted to become more interconnected, are likely instead to appear more siloed than ever.

Audiences and optimization missing parts

With measurement askew and opaque, the advertising and marketing platforms you rely on for AI-based actions and automation will need to rethink the inputs to their algorithms for optimization, which are based on performance data that may no longer be independently vetted. Audience strategy that relies on third-party data for creation and segmentation will need to learn to rely far more heavily on personification than personalization.

Oh yeah. And that best-practice, test-and-learn culture you’ve worked so hard to instill? You’re going to need to revisit that, because in this post-apocalyptic digital universe, the A/B tests of yore (read: Q1) are going to be much less meaningful based on a seven- or even one-day window of intel, after which all users, regardless of their history with your brand or exposure to another side of the split, are rendered unique again.

What’s a marketer to do?

The good news is, as a customer, your privacy online will be safer; the data Wild West of the past few years has finally reached a reckoning. As a marketer, there’s a bright future ahead, too, albeit a different one. You’ll withstand the wobbles and see the other side of ITP if you’re thinking ahead and asking the right questions now.

But you are going to need a good flashlight.

Start by assessing your infrastructure: How strong are your in-house measurement and technical teams? If the garage is pretty well stocked with the expertise for building attribution and measurement models yourself, and you can absorb the significant R&D investment required, you may be able to set up an alternative to traditional cookie-based tracking, such as Custom Domain Tracking, which leverages server side capabilities, and won’t be affected by ITP2.2. Your third party ad tech platform may support such a solution, which registers its tracking servers in your domain via a CName record, allowing for durable cookie placement. It bears mentioning, though, that this is more of a short term fix; Safari or other browsers can still block it, if they choose to, and few advertisers will have the resources and infrastructure in place to implement it in the first place.

The counters and the calibrators

In a more broadly applicable approach, your technology provider can help fill in the conversion blanks left by Safari (and other tracking-prevented browsers) by modeling—AI-based estimations based on behavior across other browsers still unaffected by the restrictions. Sophisticated modeling can give you a more complete picture of the number of conversions that may have occurred on Safari but escaped attribution to paid media due to ITP. However, in order to be something you can really rely on for optimization, proper modeling should include a mix of data points from multiple publishers, and requires calibration from an external source like incrementality testing, a newer testing modality that, unlike A/B testing, can continue to be effective post-ITP. The approach measures the overall impact of added investment in any particular area on all conversions (rather than only those attributed) against a holdout group, and layers in secondary insights analyses such as overall incremental effect by mobile browser. This means you can not only capture lost conversions due to Safari ITP, but also those captured by other channels, like SEO, to understand the true value of your mobile investment.

Modeling comprises the two categories of tools integral to your measurement True North of tomorrow: counters and calibrators. Counters, such as analytics systems, third-party digital tracking, offline sales metrics, call tracking, and publisher data (think: reported conversions from Google, Facebook, Amazon and the like) record events and attribute them to specific entities, like keywords or ad campaigns. Increasingly fractured links between devices, media and websites mean that your once trusty counters will require further validation than they did until now. With Apple’s most recent update, and Google’s presumably on the horizon, it’s not only prudent to start leveraging promising new stats-based methods for calibration, like incrementality testing, or cross-device vendors with probabilistic models—it’s reckless not to. Combined, all of these measures can reveal the true holistic impact of your advertising investments, both across channels and within them.

A new era of audience management

In the long term, of course, you should be thinking about strategies for obtaining true first-party data from registered users. As from-the-horse’s-mouth becomes the holy grail, audience segmentation via any third party solution or data management platform (DMP) will be much more difficult, and having well developed first party audience management capabilities that much more critical. We’re likely to see new types of user subscriptions emerge, with reengineered expectations, such as heavily discounted subscriptions and more “freemium” models where the value exchanged isn’t monetary, but permissions-based.

The digital advertising industry is definitely an earthquake state, and it’s time to do a serious preparedness check-in, to assess what’s already happened, and to raise some what ifs within your marketing organization before the big one hits. How we got here is a layered and complicated tale of power, responsibility, and capability—but it both starts and ends with good intentions. For an industry that may have gone too far, ITP’s tough-love measures can offer a restart. Because as advertisers, media and technology platforms, we can do better. We actually can deliver highly relevant messages to our audiences, measure our efforts, and even respect privacy while we’re at it. We just need to change our approach.


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Sourced from Marketing Land

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Google has partnered with online reviews company Feefo to bolster its AdWords network with the incomer’s review-based advertising expertise.

Feefo, which works with the likes of Next, Vauxhall, Expedia and Thomas Cook, will lean on its sentiment analysis tech to discover relevant advertising keywords from the thousands of brand reviews it processes. These can then be input into digital ads where it boasts ‘up to a three or four-fold increase in click-through-rates (CTR)’ against conventional means.

Adrian Blockus, head of channel sales for the UK and Ireland at Google, explained: “We’re pleased to have Feefo on board as a Google partner. Feefo has the product knowledge, advanced technology and insight needed, to create and optimise Google AdWords campaigns for their customers.”

The keywords drawn out by Feefo can also be used to spruce up brand copy and landing pages to reflect the language and sentiment used by consumers in their reviews.

Matt West, chief revenue officer of Feefo, added: “We use our unique insights to lend a powerfully persuasive new voice to adverts.

“We are focused on using the power of our smart innovative technology to extract the maximum possible value from consumer feedback on behalf of our clients, and remain committed to helping consumers make confident, informed decisions based on real reviews they can trust.”

Feature Image Credit: Google AdWords bolstered by Feefo

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Sourced from THEDRUM