testAuthor: Dstillery

Addressing big tech’s power through a geopolitical lens

For several years now, the digital ad industry has operated under the auspices that strict privacy regulations could come down at any moment. Make no mistake, GDPR and CCPA have been paradigm-shifting pieces of legislation, but the deluge that advertisers have long expected hasn’t arrived just yet.

In its place, though, have come major policy shifts originating not from governments, but from non-state actors, like technology companies that generate substantial revenue in the digital ad space. In theory, all companies in the industry – big and small – would be equally affected by any kind of privacy legislation, including the tech giants. However, when given the opportunity to define consumer privacy for everyone, the tech giants can and will define privacy in a manner that benefits them, often increasing the size of their competitive moats, as any rational actor would. How did these big tech companies come to be so powerful, and is there any way to curb that power? What are the risks if we don’t?

The answers go well beyond anything that the ad industry has cobbled together to date, and likely well beyond the reach of the industry by itself. When tech giants make these decisions, they’re acting with the power of states. Confronting that kind of power requires moving beyond business and technology conversations to thinking on a geopolitical level.

Government oversight & privacy

Now, the reason that big tech is leading the privacy conversation is because there is a real need for action around privacy and ensuring a competitive marketplace. While legislation like GDPR and CCPA have forced changes across the advertising industry, consumer advocates continue to call for better privacy controls, and rightly so. Additionally, the US federal government has, for years, given lip service to anticompetitive investigations, and done even less to establish federal standards and regulations to define what consumer privacy actually means.

Given the absence of appropriate government guidance and constraint on their behavior, household names like Google and Apple have had to step in and try to define privacy guidelines in order to keep their customers happy. After all, these companies are often the first to face criticism because of their standing with consumers. The drawback is that, even though some of these moves may be in consumers’ best interests, they also underscore the influence that these big tech companies hold, conferring state-like power over the transmission of information.

The international relations theory of structural realism establishes that the anarchic nature of the global order (e.g. there is no concept of one global government) leads states to pursue self-interested strategies, at times, at the expense of other states.

Big tech, acting with state-like power in economic and informational terms, is maximizing its power because the relatively anarchic global system in which it exists allows it to do so. Historically the entities that have defined and enforced social norms like antitrust and consumer privacy are state actors, such as the US or EU. The only way to constrain big tech is for these forces to limit tech’s ability to pursue a strategy of maximizing its power, and the rest of the ad industry needs to be role players in these conversations.

Controlling the message, and information

Governments may be less concerned with big tech’s rise at the moment, but that could change very quickly. Tech companies are becoming the translation layer between the wider internet and consumers, able to control the messaging around what is good or bad about the internet. In the mobile space, operating systems and app stores have the power to allow and deny certain apps and capabilities, and control how consumers can access the internet. At what point does it become impossible to circumvent big tech, in order to find information online? Further, what are the societal impacts of this?

Responding to big tech

For years, the advertising industry has found ways to respond to laws and regulation by forming coalitions, working with governmental bodies, and issuing best practice guidelines, so that industry leaders can respond appropriately.

Where the industry hasn’t been so adept is developing a unified response to the growing power of big tech at a scale like this. We’re talking about companies with topline revenues on par with the GDP of EU member nations.

It’s understandable why the response has been slow, of course: these companies are in many ways our peers. And they represent potential acquirers and employers.

Like most things in life, there is no silver bullet to constrain the behaviors of these tech companies and level the playing field to encourage competition and innovation. It will require a dedication on the part of governments to define the concepts and guardrails around consumer privacy and competitive marketplaces, and further cooperation among other industry participants to ensure a healthier ecosystem. One of the first potential “battlefronts” will be harmonizing the current focus on technical standards bodies to address privacy, and the resultant changes to identifiers, with a renewed focus on the underlying policy to inform these changes.

However, this isn’t a problem that will be solved with one committee or one meeting. It likely will remain unsolved even in early 2022, when third-party cookies are retired from the digital ecosystem. But it’s critical to start forming the foundation for approaching big tech on a geopolitical level to finally level the playing field. This likely means coalitions with members from big tech, federal governments, and smaller tech players, in order to pursue a more harmonious future.

Why post-cookie targeting solutions can not retread old ideas

It has been more than a year since Google announced that it would stop supporting third-party cookies in its Chrome browser in early 2022. In that time, the advertising technology industry has been developing post-cookie plans and products to fill the white space in targeting that cookie retirement will expose.

The trouble is that many of the proposed solutions are really simple retreads of old ideas. This is not a moment for retrograde thinking — it is a moment for the industry to innovate.

Path of Least Resistance

For advertisers, the path of least resistance may be to fall back on targeting technologies available today that are not dependent upon cookies, or to rely on one or more yet-to-emerge ID spaces to replace cookies.

As far as currently available solutions, proposals usually involve one or more of the following strategies:

  1. Double down on first-party data to target existing customers who have opted in to receiving an advertiser’s messages
  2. Return to classic contextual targeting, using words, images, audio and video on page to show ads in environments that are brand-safe and relevant
  3. Dedicate even more budget to the walled gardens that benefit from a large base of opted-in users with consent

Surely, brands and their agencies will employ all of these strategies to some degree, but they come at a cost. Plainly stated, this is why advertisers do not concentrate their budgets against them today.

First-party Data

When brands focus messaging against first-party data, they sacrifice new customer growth opportunities. Needless to say, abandoning any method of new customer acquisition in a crowded advertising market is not a sound business strategy. Yes, brands can try to find new prospects who look exactly like current customers, but without cookies and retargeting, that will become more difficult.

Contextual Targeting

By allocating more budget to classic contextual, brand marketers give up precision, which deteriorates return on ad spend. Most advertisers are aware that contextual goes beyond basic keyword targeting. But, it’s harder to create a perfect match between the ad and customer interest when using page signals alone.

Walled Gardens

If brands increase reliance on walled gardens, they cede control of customer relationships to these massive platforms. These behemoths share woefully little data or insight with the brand and agency, forcing marketers to rely on a black box of reporting. It is sort of the opposite of relying on first-party data — the brand might get scale and new customer opportunities but at a loss of any insight into their best customers or prospects

Emerging Multi-ID Options

Those are the options available now. As for what will be available in the future, there are a number of strong proposals across the industry for IDs that are functionally equivalent to third-party cookies, yet respectful of consumer privacy.

The Trade Desk’s UID2, LiveRamp’s ATS, LiveIntent’s nonID, ID5’s Universal ID, and Britepool’s ID have all emerged as independent options. While Google is developing a one-to-several solution called FLoCs, or Federated Learning of Cohorts. FLoCs propose to protect consumer privacy by grouping users into cohorts with similar behaviors – allowing one-to-several, rather than one-to-one tracking and targeting.

This emerging multi-ID space will definitely occupy a valuable place in the post-cookie targeting landscape. These solutions do not suffer the same drawbacks as the options described above, but they do have their own.

Most notably, the opt-in paradigm of the one-to-one proposals means these new identifiers will have much less scale than cookies. Given the number of competing proposals, the multi-ID space will be fragmented, introducing tremendous complexity.

Embrace the post-cookie transition

The transition away from cookies gives advertising organizations choices. Anchor to the familiar, such as first-party data, contextual advertising, walled gardens, or a raft of cookie-like IDs. Or, brands and agencies can embrace the transition.

The readily available cookie-free options come with clear limitations. Simply substituting an emerging identifier for cookies carries lots of uncertainty. Settling for a substitute is not going to give advertisers what they are looking for, and they will undoubtedly express disappointment.

But resting on one’s laurels, waiting for the ideal future path to emerge is not exactly innovative — it is passive. Brands and agencies can proactively develop new solutions to the issues of targeting and privacy. This requires these organizations to embrace some of the new limitations, rather than finding new ways around the resistance. If brand marketers only have access to certain signals, how can they combine them to deliver the best ad experiences? How much are brands willing to invest in testing right now? How willing are they to accelerate the percentage of budget they devote to cookieless solutions?

If the current post-cookie options on the table make one thing clear, it is that marketers cannot wait. If none of the options seem palatable, each individual brand has time to create the formulas that will work for them. Digital advertising is not going anywhere. But those that opt for the path of least resistance are going to be left behind.

If you want to learn more about how Dstillery can help you prepare for a post-cookie future, contact us.

How retailers can invest in data now to prepare for the post-cookie world

There’s no denying online retail’s momentum. E-commerce sales accounted for nearly $1 out of every $5 spent on retail purchases at the end of 2020. While retailers are suddenly eager to invest more online and expand their eCommerce operations, they are speeding towards a wall. 

The technology and tactics deployed today to stand out in a crowded marketplace are not going to work the same way a year from now, due to continued changes in browser privacy policies. Chrome, the web browser with the largest market share, will stop supporting cookies, the mechanism through which retailers collect data and then target their ads, beginning at some point in 2022. Google compounded marketers’ fears earlier this year when it stated that it would not support any identifiers that replace cookies for one-to-one targeting.

Retailers rely on retargeting to effectively reengage their current known prospects. Retargeting relies on cookies. Therefore, these changes mean that many of the data signals powering online retail’s surge will dry up. Requiring new solutions to effectively reach a brand’s best audiences. Retailers need to lay the groundwork now. They should test and learn which solutions to incorporate into their programs in 2021, to avoid stalling out in 2022.

Your real customer insights

While nearly every media expert can advise retailers to look at their first-party data, making that data actionable requires digging a little deeper.

Start by considering your image of the customer. It might be the single audience for which a product was specifically designed. It might be a few different segments that the brand sees as likely buyers. But often, this vision can differ from an e-commerce vendor’s actual customers.

While big data can help test a hypothesis and prove it right or wrong, it’s also great for uncovering surprises. One thing we constantly find in ad performance — and the resulting sales conversions — is that the audience that responds best is not always the image with which the brand started. This is a good thing because it opens new worlds of opportunity for brands.

The coming shifts in data collecting are unfortunately going to make this harder, so it’s important that retailers learn as much about their entire audiences as they can right now. Dig into the insights and conversion data to find out who your actual customers are. Who are the high lifetime-value buyers and the repeat buyers? Do they match your perception? The information you gather now can help define your campaigns and creatives going into the future, so invest heavily in a deep understanding now. This will prove to be valuable when retargeting site visitors becomes increasingly harder. Even better, these insights don’t have to be cookie or even ID-based right now.

Every online retailer is aware of the looming change to third-party cookies in Google’s Chrome Browser. What many may not be aware of is that there is already a large swath of internet traffic that is happening outside of cookies. Browsers like Safari and Firefox have had cookies turned off by default for years, and the audiences using those aren’t producing the same kind of behavioral insights. Right now, a little more than 40% of U.S. web ad inventory is not addressable. Once Chrome retires the third-party cookie, many in the industry expect that more than 70% — and even up to 90% — of inventory will lack a login or ID.

But that doesn’t mean they’re worthless. Safari is found on Apple products, which are often more expensive than competing products, and therefore likely owned by consumers with higher incomes. That’s a valuable audience for retailers. To prepare for the post-cookie future, start running campaigns that don’t rely on third-party cookies on these browsers today and gather all of the campaign data you can. Then, compare it to the cookies campaign data, and make adjustments as needed.

This cookie-free data is going to form the baseline for many of the campaigns you run in 2021, especially as retailers wait for wider adoption of identifier alternatives. So get familiar with cookie-free campaigns and establish a baseline you’re comfortable with.

A post-pandemic forecast

Retailers are already trying to understand how pandemic-influenced buying decisions will impact their revenue in the long run. There are looming questions over whether customers who mostly purchased online over the past year will return to stores, or if they will remain avid e-commerce shoppers. Are surges in spending temporary, or here to last?

Retailers will respond to this question differently, too. Those with online storefronts and physical locations will hope to retain customers, no matter how they purchase. Those with online-only or delivery businesses need to predict upcoming churn and prepare media plans for both retaining customers and continuing to convert new ones.

Understanding these behaviors is even more critical in light of the changes to targeted advertising coming in 2022. Start getting a sense of the messaging mix now, so that you can deploy the right plan in 2022 when buying behaviors will likely be more predictable than they were in 2020.

Above all else, retailers shouldn’t panic. The recent ad industry events aren’t the end of effective online advertising – they are simply the end of the previous era. Retailers that take the rest of this year to pore over their data and better understand their customers, their campaign performance, and how to activate these learnings in the authenticated and unauthenticated digital ecosystem, should have no trouble transitioning to a new era.

Dstillery offers a solution for the post-cookie world called ID-free®. Please contact us if you want to learn more.

3 ways to think about travel prospects in 2021

The pandemic wreaked havoc on the travel industry. Many marketers held back their ad spend in 2020, preparing for the inevitable end of this uncertain time when consumers would feel free to travel again. With vaccination rates & travel on the rise in 2021, brands that held their budget in reserve are chomping at the bit to spend it.

Of course, the trick is to spend it wisely. Doing so requires a detailed understanding of how consumer behaviors and attitudes toward travel have shifted in the last year. Reopenings and vaccinations do not mean the same thing to everyone. The travel audiences from a year ago probably no longer apply. Even frequent business or leisure travelers from 2019 may still not be comfortable getting aboard a plane.

In addition to using pre-pandemic travel behavior, brands need to grasp their prospects’ current mindsets, including how they feel about safety and vaccinations, as well as discounts and perks. This means looking at more signals than ever to segment their audiences to find the best prospects and drive ROI. Fortunately, those signals are out there for travel prospects in 2021.

Bucketing your targets

More often than not, the digital behaviors of travel audiences do not change in major ways year to year. However, the digital behaviors of travel intenders from a year ago have been heavily influenced by recent global events. In order to put digital travel marketing plans in place, it makes sense to bucket potential travelers into three segments:

  • Recent travelers
  • Travel researchers
  • Hesitant travelers

Observing the recent travelers

The best place to start is to look at recent signals. Even with a down year, some consumers have traveled and it makes sense to analyze their motivations, whether it be for leisure and vacation, for business, or for pandemic-related reasons, such as first responders.

Airlines (or their marketing agencies) should start by looking at people who have flown in the past four to five months, basically, those that traveled during the holidays and into 2021. This audience could come from purchase data or conversions.

This cohort’s behavior indicates that they are comfortable flying, and suggests they have a high likelihood to fly again. If your data shows that recent-flyers went to a vacation spot, re-engage them around vacation options in the near future. Welcome the actions of your recent customers, then find consumers who have similar behaviors by using modeling for scale.

Digging into the researchers

By targeting amenable flyers and helping them book more trips, travel brands can begin to normalize flying to wider audiences. This should be helpful in building out a segment that is already growing in 2021: the travel researcher. These consumers may be less ready to travel, but they are starting the planning process. Cabin fever has set in, and daydreaming about a future vacation has helped them keep from going stir crazy. Family travel planners and discount flight researchers are likely to pick up steam.

While these “travel researchers”‘ are merely thinking about a post-COVID destination, they are producing digital signals about where they want to go (Europe and the Caribbean are popular destinations, based on digital activity), the type of trip (resort, cruise, roadtrip), with who (business, leisure, family) and the activities. Now is the time to start informing these researchers about cheap flights, or special offers on destination vacations.

Whenever someone exhibits intent for a trip, no matter how soon or far in advance, they represent an opportunity to cultivate a relationship. It is entirely possible to find specific segments for online ad targeting that are tailored directly to consumers who are indicating a desire to travel in the early summer, once vaccination rates are higher.

Reaching the hesitant travelers

While the signals needed to understand their behaviors are unique in this post-pandemic period, recent flyers and trip researchers are obvious prospects to travel brands. The hardest nut to crack is reaching those who are hesitant to travel.

This may be people who travelled regularly pre-COVID or those who have the financial means to do so. They may also be looking up safety guidelines around COVID-19 as well as testing and vaccination news. Once you’ve identified this cohort, warming them up to the idea of travel will likely require two different approaches. The first is creative messaging that promotes deals further into the future than travel brands would usually advertise. Start serving this segment offers about all-inclusive resorts for early 2022 when things will return to some form of normal.

The other approach is to target this segment with creative messages educating consumers about the safety of flying and traveling. Messaging that reminds hesitant travelers of the joy of travel. Using helpful content about how an airline is taking the proper steps to guarantee safety, will go a long way toward reassuring consumers who may not be ready to travel yet in 2021.

Mining the signals

The segmentation we just walked through isn’t particularly difficult to do. Consumers are producing loads of online signals related to travel right now. Odds are that most brands already have a lot of this data at their fingertips. Travel brands that use as many of these signals as possible to create audiences will set themselves apart from the competition as they strategize creative messaging and targeted ad campaigns to build their revenue back up.

At a minimum, every travel brand should consider segmenting their target audience into the three buckets we just described – recent travelers, open to traveling, and hesitant to travel – and then drill down from there. That hesitant group will likely have subsegments of those who just want to wait, and others who remain fearful, but the signals are out there.

It’s no longer enough for travel brands to simply look at purchase history to engage prospects. A near-year-long pause in travel plans has thrown the old book on audiences out the window. For brands, the opportunity lies in expanding the scope of the signals they use to build their target audiences and using new behaviors to shape their campaigns and messaging strategies.

Still have questions? Contact us.

A deliberate oversimplification of audience targeting without cookies

Paradigm shifts are hard. When you’re used to doing something a certain way, realizing that you can do it in a completely different way (and get similar results) is really hard to grasp. It can take anywhere from 18 days to almost a year to form a new habit. So it’s no surprise that many advertisers are expecting to have a difficult time with audience targeting, once third-party cookies go away. 

But what if there is a way to achieve the scale and accuracy of audience targeting in today’s cookie-based world, without third-party cookies or any form of alternative identifiers? To explain, here’s a deliberately oversimplified example of how to do audience targeting without cookies.

Deliberately oversimplified audience targeting example 

Let’s use a hypothetical campaign with very simple audience targeting criteria. A video game company is launching a new game and wants to target “gamers.” In the current cookie-based paradigm, a programmatic buyer could go into their buying platform, search for “gamer” and run the campaign across any of the hundreds of relevant gamer audiences that show up.

In the post-cookie paradigm, the programmatic buyer has a much harder task at hand. Without gamer audiences readily available, he/she will have to use a variety of identity-free signals and tactics. In the examples below, I’m going to make some generalizations for the sake of simplicity but will show how three identity-free signals — hour, designated market areas (DMAs), and website domains — can be used to accurately target the gamers audience.

Using HOUR as a signal

There are 24 hours in a day. If you had to guess, what are the times that video gamers are browsing the internet and most likely to be receptive to an ad for a video game? To keep things simple, let’s say that late nights from 9 p.m. to 2 a.m. are more likely than early mornings from 6 a.m. to 9 a.m.

Using DMA as a signal

There are 210 DMAs in the US. Using first-party data or third-party research, a brand can determine those that might be the best targets for a campaign.

Based on a study from WalletHub that used factors like internet speed and video-game stores per capita, certain cities in the US tend to be very conducive for a gamer lifestyle. These include Orlando, Seattle, Austin, New York, Los Angeles, Las Vegas, Irvine, Boston, and San Diego. This is just one data source, but for the purposes of this hypothetical campaign, it’s a good list of areas to target gamers.

Using DOMAIN as a signal

There are a handful of domains that gamers frequent to learn more about games: kotaku.com, reddit.com, twitch.tv, steampowered.com, and ign.com. But of course video gamers also visit websites not related to gaming at all. Tech blogs like gizmodo.com and theverge.com, music sites like pitchfork.com and spotify.com, news sites like nytimes.com and cnn.com, and much more.

Letting AI do the complicated parts for audience targeting 

Using these hours, DMAs, and domains as individual signals would probably yield a decent strategy for targeting an audience of gamers. But what if I told you there is a way to get much more accurate results, with a lot less manual work?

Using AI, there are ways to identify the most precise hours, DMAs, and domains that work best for an audience without having to have any pre-existing understanding of that audience or having to perform market research to figure out the signals. Further, as the target audience changes and shifts over time, the AI model will pick up on nuanced changes in behavior and automatically adjust to pick out the most accurate signals.

Using AI, decisions can also be made not only across the individual signals but across a combination of all three signals for maximum precision and accuracy. For example, imagine if an ad opportunity at 10 p.m, in the Orlando area, on kotaku.com was available in the buying platform. There’s a really good chance that you’d be looking at a gamer.

This might sound simple, but it can get complicated really fast. Take 24 hours, 210 DMAs, and let’s just say 50,000 domains. That creates more than 250 million combinations that have to be scored and ranked to accurately target a gamer audience! And of course, the audience targeting strategies that brands deploy get much more granular and complex than simply targeting “gamers.” They want to target gamers who use specific consoles or have preferences in the kinds of games that they play.

Shifting to id-free signals

The good news is all this complication is a problem that machine-learning and AI have been solving in digital advertising for a decade. While the application to date has primarily been for a cookie-based world, reapplying this technology to identity-free signals — and shifting our preconceived notions on how audience targeting has to work — would create a path to scalable and performant audience targeting, without using any IDs at all.

If you want to learn more about Dstillery’s latest product offerings, contact us.

How to build the perfect Facebook audience for your paid campaigns

Building the perfect Facebook audience for your paid social campaigns can be a bit daunting. With the countless amount of targeting options available, how can you be sure your ads are seen by the right people?

Dstillery’s Custom AI Audiences are built by just-for-your-brand custom AI models so you can feel confident knowing you are targeting your best Facebook audiences.

What Are Custom AI Audiences?

Unlike limited lookalike audiences, our Custom AI Audiences are built on 10 million attributes that, in-total, capture the DNA of your brand and yours alone. Using this model, we score hundreds of millions of candidate audience members to identify the audience that matches your brand DNA at the scale you require.

These audiences are accurate (resourced every 24 hours!) and then scaled; making your Facebook & Instagram campaigns successful.

How To Add Dstillery Audiences To Facebook Business Manager

Now, how do you actually add these audiences to Facebook Business Manager? We’re glad you asked. Although Facebook discontinued the availability of third-party data on its platform back in 2018, they still support audience sharing between two parties.

Follow the steps below to add your custom Dstillery audiences to all your Facebook & Instagram campaigns.

Spoiler: these audiences will come through as Custom Audiences within Facebook Business Manager.

Step 1: Please provide Dstillery with your Business Manager ID. This ID can be found in the Business Info section in Business Settings.

Business Manager ID - Step 1

Step 2: Please provide Dstillery with your Ad Account ID. This ID can be found in the Ad Accounts section in Business Settings.

Ad Account ID - Step 2

Step 3: You will get a notification that Dstillery Data is sharing audiences with you. The notification will also show up in the Shared Audiences section in the Data Sources dropdown.

Audience Notification - Step 3

Step 4: A Shared Audience Responsibilities & Agreement popup will appear. Once you hit accept, the Partnership can now begin!

Audience Responsibilities - Step 4

Step 5: Dstillery can now send audiences to your Facebook account. If you go to Assets, then Audiences, you will start seeing Dstillery audiences show up, along with various availability statuses

Custom Audiences - Step 5

Step 6: When you are creating your campaign in Facebook, you will now see Dstillery Custom Audiences under Audiences > Custom Audiences:

Custom Audiences - Step 6

How To Build Your Facebook Campaigns

Now that your custom Dstillery audiences are available within Facebook Business Manager, you can start building out your Facebook & Instagram campaigns. 

Facebook campaigns consist of three levels: campaign, ad set, and ad creative. We suggest creating multiple campaigns for different target audiences, as well as testing different campaign objectives.

Set a Strategic Goal & Choose Your Objective

Before you begin spending your ad dollars, it’s important to determine your goals and KPIs. Are you trying to build brand awareness? Increase website traffic? Generate more leads and conversions? Some things you should think about before building out your new campaigns.

For example, if you are a sneaker brand announcing a new line of running shoes, you will most likely want to create a campaign optimizing for “brand awareness.”

If you are promoting a limited-time sale, optimizing for “conversions” (aka those in your target audience most likely to purchase) will be the most beneficial.

Facebook Ads Campaign Objectives

Choose a campaign objective that best aligns with your overall advertising goals and is relevant to your target audience.

Build Your Ad Set & Facebook Audience

Since you already pulled in your Dstillery audiences, building your ad set is a breeze! You simply choose your Dstillery audiences from the Custom Audiences section. No need to layer on additional demographics and interests.

Pro Tip: Excluding audiences is a great way to avoid wasting ad spend. For example, if you are running a promo for first-time shoppers only, then you should exclude all existing customers from your ad set.

Launch & Test Your Ad Creatives

You’ve made it to the final step – ad creatives. And boy, do you have options! You can use single images, videos, carousels, or combinations of all the above.

Click here for all Facebook ad specs.

Whether you choose an image or video, try to limit the amount of text overlay. Use a creative that is relevant to your audience, visually appealing, and has a clear call to action (CTA). Be sure to include a value proposition within your ad copy to entice your target audience.

One important best practice to follow is to create multiple ads within your campaigns. While it may be tempting, don’t just stop after you’ve created one image ad! By creating multiple ads, you can easily test variations in copy, imagery, and CTAs; giving you better insights into which ads resonate with your Facebook audience and improving overall performance.

Pro Tip: Ad content should be unique per placement. While you can easily run the same creative across Facebook newsfeed and Instagram stories, that doesn’t mean you should! Take the time to create imagery that is specific to each placement to fully optimize your campaigns and maximize your results.

How To Send Data Back to Dstillery From Facebook Ads

Now that you’ve launched your campaign, it’s time to analyze, test, and refine. There are a few ways to send data back to Dstillery for reporting purposes.

In Business Settings, under Ad Account, you can add Dstillery as a Partner by inserting our Business ID (reach out if you need this). By enabling the View Performance tab, we will be able to monitor the usage of our audiences. If you’d prefer to do this manually, you can also self-report the data to us at the end of the campaign.

Share Reporting

We’re here to help you grow your paid media campaigns with custom Facebook audiences. Please reach out to us if you have any questions.

Google’s announcement confirms cookie deprecation is a chance to kick the identifier addiction, not replace it

There’s been a great deal of hand-wringing over the future of identity in digital advertising. Google Chrome’s plan to retire third-party cookies and Apple’s move to make IDFAs opt-in have kicked off what, to many, feels like a crisis for digital advertising.

Google’s recent announcement that it won’t provide alternate user-level identifiers is just the latest indication that we are well within an inexorable shift towards an opt-in world. This world is one where the only industry-accepted (and, in increasingly many jurisdictions, legally-accepted) means of addressable digital targeting is through an ID which the user has explicitly opted-in to using.

To be clear, there will be alternate user-level identifiers, just not built or used by Google. That horse race is well underway and will continue, unaffected by this news from Google. But new identifiers are not going to solve the ad world’s problems. Google’s announcement confirms that we won’t see one built into Chrome, and without the penetration provided by being default-on in a major browser, no new identifier will fill the hole left by cookies.

With the looming Chrome change in 2022, the frogs felt the water warming. Targeting remains possible, so there hasn’t been much urgency. But now that the identifiable internet is about to be reduced to a fraction of its size, the water is boiling. Advertisers need an escape, and switching to another identifier is the same as jumping to another pot. The only way off the hot stove is for advertisers to break free of identifiers as much as possible.

Insufficient replacements for third-party cookies

“Replacement” identifiers are jockeying for position, and are expected to provide precise targeting and granular measurement. The key improvement in these solutions is that the user consent is clear and explicit.

These replacement identifiers are built by companies other than the browser vendors and were never expected to be a Chrome-built browser feature, so to the extent that they are adopted by publishers and users, they will work regardless of whether Google buys into this philosophy.

Still, even before Google’s move this week, it would have been a mistake to think of these new opt-in identifiers as full replacement solutions. Any advertiser who plans on relying on these new identifiers to solve their problems needs to ask themselves, just how many of these impressions will be available? And am I willing to tie my campaign’s success to that number?

The availability, penetration, and number of impressions available with those solutions will depend on a number of factors, including publisher adoption and user behavior around opt-ins.

Certainly, the number of display impressions that can be targeted based on an addressable ID will be far less than today’s 56%. (Currently, about 44% of US internet users are already using web browsers without third-party cookies enabled.) The most ambitious estimates put the number of addressable impressions at around 30%, while many publishers believe 10% is optimistic. Whatever the end state, it will require a long adoption ramp-up, not a flip of a switch.

Think about that: Up to 90% of all display impressions will have no ID attached to them. Though the details remain uncertain, it’s clear that the replacement identifiers will not be enough. In order to effectively target at scale in the post-cookie world, advertisers need to adopt a portfolio of approaches that includes solutions to intelligently target ads where no identifiers are available.

Third-party cookies deprecation

Getting used to a non-identifiable world

The time to reach beyond addressable impressions is right now, before third-party cookies are retired from Chrome in 2022. Since 44% of US web impressions don’t have any IDs, smart, identifier-free targeting solutions could improve scaled performance immediately. Consider Safari users, who already exist outside the cookied universe. These consumers are on Apple products, which makes them highly-desirable, and it’s possible to reach them through a diversified approach.

Why is most of the industry still waiting to adopt identifier-free targeting solutions? The answer is measurement. It remains one of digital advertising’s key promises, which is why the industry has remained hooked on identifiers up to this point.

Google’s Chrome team has promised that a new measurement method will be in place before cookies are retired. But remember, Google can’t control what Apple, Mozilla, or others do with their browsers. After cookies are gone, targeting on the web without user IDs requires buying inventory that lacks a precise measurement mechanism.

But the other option, the choice most advertisers are already making, is sacrificing scale. Today, dedication to device-level measurement means ignoring more than 40% of online consumers on the web. In the very near future, they’ll have to decide whether they’d rather ignore 70-90% of online consumers, or have fuzzier measurement across 100% of potential customers.

A “fuzzier” measurement solution might mean extrapolating performance into the non-addressable web, or using a more traditional measurement framework like media mix modeling. Yes, this feels counter to everything we’ve gained in the last decade of hyper-granular data collection and analytics. But most brands will actually see a better ROI when they expand their views and target across the entire internet at its full scale. Even better, adopting an identifier-agnostic strategy now will leave advertisers well positioned to deal with the continued shift towards opt-in identification across all digital environments, not just the web.

While looking ahead is frightening, remember that we’re starting at a point where roughly half of the online audience can’t be identified, right now. Waiting around for new identifiers only limits advertisers even more.

The lost opportunities have already arrived, via browsers like Safari. Why are advertisers abandoning huge segments simply to maintain the status quo, and why continue doing so? The water is about to boil, and advertisers need to decide whether to stick around, jump to a new pot, or get off the stove altogether.

Still have questions? Watch our previously recorded webinar to learn steps you can take today to future-proof your digital campaigns.

Statement of support for the AAPI community from our CEO

Last week’s mass shooting in Atlanta is the latest reported attack in a disturbing trend of increased violence against Asian Americans. Dstillery condemns all forms of xenophobia, bigotry, and racism and we stand in solidarity with our Asian American and Pacific Islander employees, families, and communities.

Over the past few weeks, many of our advertising industry colleagues have spoken out to raise awareness of these racially motivated acts, and we urge our partners to join us in amplifying their calls for action. While the murders in Atlanta are receiving the media attention required to drive meaningful change, we know there are many incidents that go unreported and unaccounted for.

We support the work non-profits like Stop AAPI Hate are doing to document anti-Asian hate incidents. If you see something, do what you can to record, report, and support the individuals being attacked. Additionally, we encourage our community to utilize the resources and information available through initiatives like Welcome to Chinatown, Send Chinatown Love, and Protect Oakland Chinatown.

This week is a painful reminder of the important work still ahead of us. Dstillery is committed to doing our part as a company and a community to build a more just society.

Michael Beebe
CEO
Dstillery

Who’s Your Data? Podcast

Who's Your Data Podcast

Want to hear fresh perspectives on Data Analytics and Data Science while staying on top of industry trends? Check out the Who’s Your Data Podcast, hosted by Gilad Barash, Dstillery’s VP of Analytics.

Listen as Gilad gets candid with interesting industry leaders – from thoughts on data science career paths to inclusivity and representation in tech – nothing is off-limits.

If you’re interested in data, analytics, or curious about how diversity and inclusiveness play a role in combating bias in data and tech, this podcast is for you! Listen on Apple Podcasts & Spotify today.

Visit whosyourdata.org to learn more.


Subscribe To Who’s Your Data Podcast:

Apple Podcasts
Spotify

What’s next for digital advertising trends In 2021?

This past year was unlike anything the advertising industry has ever experienced. While we’re still catching our collective breath from the year that passed, it’s time to look ahead to 2021. On Dec. 17, Dstillery hosted a webinar, 2021 Digital Advertising Forecast & Predictions, a three-way conversation between Dstillery CEO Michael Beebe and Chief Data Scientist Melinda Han Williams, along with Brian Wieser, Global President – Business Intelligence at GroupM, the world’s leading media investment company.

What follows are highlights from the session, focusing on what advertisers and agencies should expect for digital advertising in 2021 after a year of major disruption. You can also watch the video recording here.

2021 will feel a lot like 2020

That is, at least at the start of the year. Much of this year’s tumult will carry over into 2021 as we deal with the global Covid health crises and connected changes on consumer behavior. The year will be marked by disruption as we prepare for a post-cookie future, and the entire industry will ramp up its preparations for the demise of the third-party cookie, which is expected in 2022.

The new year will also carry some of 2020’s silver linings. “It’s bad, but it really could’ve been worse,” said Wieser, reflecting on 2020. Indeed, the disruption of 2020 inspired a great deal of business transformation across verticals, driven by e-commerce. Wieser pointed out that many categories that previously didn’t do much business online were suddenly seeing massive e-commerce growth, and that should continue into the new year.

Data-driven marketing is a must-have, even as cookies disappear

The past 12 months forced a lot of brands to get even better at using data in order to target their marketing and advertising dollars. “That goes hand in hand with the shift toward e-commerce,” said Beebe. “Even companies and brands that have been beholden to retail for their distribution, we saw a lot of activity from those types of brands in terms of developing a more data-driven consumer-direct strategy around how they spend their budgets and target their marketing dollars.”

These brands saw the real benefits of using more data to drive outcomes, and we should expect them to continue exploring data in 2021 and into the future. This is all the more important in the lead-up to 2022, and the end of the cookie era.

“Cookies could go away, and marketers will find something else to work with,” Wieser said. “They’ll find other approaches to buy the best audience relative to the next best alternative approach, to accomplishing whatever their goal is. There are other signals out there.”

Future growth for AI & analytics

As marketers look toward a cookie-less future, they’re wondering how best to use the available data to maximize efficiency and targeting. One method that’s garnered a lot of buzz is through AI. But AI isn’t necessarily a cure-all so much as it is a tool for accomplishing a goal.

“Every marketer should take a step back and know what’s possible with data and what’s possible with AI,” said Wieser. “What’s the business goal, marketing strategy, what could it be, how could we think about people differently? It might be lower fidelity data you’re going to work with, and it could be far more powerful. We should keep that in mind.”

Indeed, all three participants agreed that there’s no purpose in processing more data for its own sake. Dstillery has long held that marketers should be very deliberate about how they apply their data and analytics. “I can make a model that’s super good at predicting clicks, and your clicks will be off the chart and it’s so great. And so I win, right? But actually, the brand doesn’t win in the end if it’s not related to the real goals that the brand is trying to drive at a higher level,” said Williams.

The quality of data simply matters more than the quantity, and this will be especially important for digital marketers in 2021 and beyond. “You have to know what you’re looking for,” said Beebe.

Click here to watch the full discussion between Michael Beebe, Melinda Han Williams, and Brian Wieser on 2021 Digital Advertising Trends.