If a cookieless future sounds terrible to you, rest assured, we’re not talking about that kind of cookie.
We’re referencing third-party cookies, which the publishing and media industry has relied heavily on to monetize content for quite some time. When Google announced that it would ban cookies from Chrome, it upended the $152 billion digital advertising industry and forced publishers and media to rethink revenue strategies.
To help you get a sweet start on your strategy, we’ll use insights from Similarweb, a digital intelligence tool, to demonstrate how the right anonymized data and analytics can help conquer the cookieless future.
What are cookies?
Cookies are snippets of code that assign website visitors a unique ID. They remember users, collect information, and deliver personalized experiences.
First-party cookies customize experiences on the website visited by a user. Third-party cookies allow brands to re-engage targeted audiences across domains for digital advertising. Ongoing concerns surrounding data privacy and regulations like GDPR (General Data Protection Regulation) have brought a lot of attention to this practice.
Chrome’s biggest competitors, Safari and Firefox, pulled back on third-party cookies years ago. Apple took it a step further, now requiring opt-in for tracking in-app. Soon, Google’s browser, which accounts for two-thirds of global browser share, will be the last of its bunch to back away from the cookies.
Google initially announced in 2020 that it would stop supporting third-party cookies by 2022. The tech giant has since pushed that to 2023, opening up opportunities for the industry to better prepare for the cookieless future.
Why is the death of third-party cookies important to publishing and media?
Behavioral insights provided by third-party cookies help businesses understand audiences at granular levels to deliver content that truly attracts and resonates. More engagement means more ad sales at a higher CPM.
Cyclically, ad sales fund content creation.
Cookies underpin audience-based digital ad campaigns by enabling:
- Retargeting users that left a website
- Reaching out to lookalike audiences
- Attributing conversions to users, then finding similar people
- Understanding more about a brand’s target audience and behaviors
Without third-party audience data for effective targeting, there’s growing concern that ad revenue will further decline in an industry already facing decreased spending on print and linear ads.
While larger publishers have the resources to spend heavily on first-party data to prepare for the cookieless future, smaller brands need to get more creative.
4 tips to prepare for the cookieless future
Investing in digital tools mixed with first-party data can help these brands contextualize audience segments and build subscription revenue to replace lost cash flow. Check out some techniques using cookie-free data from Similarweb’s suite of digital tools for publishers and media:
1. Use site lists for alternative targeting
Analyzing referral sources of incoming traffic can help identify domains already sending visitors to you and your competitors’ websites. Build a whitelist that includes these referral sources to reach your target audience.
Conversely, use similar data to build a blacklist, so your ads don’t appear on the wrong domains.
Both techniques will help you stretch your budget and invest in channels with the most return without
programmatic advertising, a popular practice that requires third-party data.
Pro Tip: Use Similarweb Digital Research Intelligence to pinpoint referral sources of incoming traffic.
2. Leverage competitive intelligence
Audience insights, such as cross-browsing behavior, can help identify top competitors’ audiences to convert to your own. Check out the example:
More than one-third of visitors to washingtonpost.com who also browse nytimes.com suggest that The Washington Post may want to pursue The New York Times’ audience. At 22% overlap, Reuters may also want to consider targeting The New York Times’ visitors. With just 4% and 6% overlap with businessinsider.com, both The Washington Post and Reuters may want to avoid ads targeting Business Insider’s audience.
Pro Tip: Use the audience interests feature of Similarweb Digital Research Intelligence to identify cross-browsing behavior.
3. Monitor pay flows
Monitor pay flows to pinpoint channels that drive subscriptions for your competitors. Consider focusing on their top sources.
For instance, rising visits to The New York Times’ subscription page through paid rather than organic search, suggests that competitors may want to allocate more resources to paid channels vs. SEO.
Pro Tip: Use segment analysis, a feature of Digital Research Intelligence, to identify channels driving traffic to specific URLs on competitors’ websites. For pay flows, these may include subscription sign-up, cancellation, and payment confirmation pages.
4. Power up your pitch
In addition to boosting customer acquisition, cookieless data can optimize ad sales. By harnessing granular traffic information, ad sellers can continue to make strong pitches to clients.
For example, audience overlap can showcase the visitors that your site and your clients’ site have in common. If overlap with your site exceeds your competitors’, you’ve made a strong case to be your client’s top priority.
Pro Tip: Use audience overlap, a feature of Digital Research Intelligence to determine the number of shared, unique visitors with client and competitor websites.
Next steps to win when the cookie crumbles
Check out how individual tools within the Similarweb digital intelligence suite can help publishers and media conquer the cookieless future
Shopper Intelligence: Gain additional audience behavior insights and spot emerging trends on eCommerce sites to maximize affiliate revenue.
Sales Intelligence: Grow new and existing advertising clients using competitive insights and a comprehensive client contact database.
Wondering what Similarweb can do for you?
Here are two ways you can get started with Similarweb today!