Both Paddy Power and Betfair brands saw a roughly 30% decrease in CPA while driving app installs on Apple Search Ads
CPA improvements helped marketers maintain volume and revenue while freeing up budget to reinvest in additional growth opportunites
Eliminating manual bidding activities led to significant time savings
Background
Paddy Power is one of the most popular betting brands in the UK and Ireland, where they operate a chain of licensed betting shops and an easy-to-use app. Their marketing is globally renowned for its distinct brand of mischief.
Betfair operates the world’s largest online betting exchange, which includes an app, online casino, online poker, online bingo, and a sportsbook.
Together, both brands are operated by Flutter Entertainment. Their retail business includes more than 620 Paddy Power betting shops across the UK and Ireland, a number of apps and events, and a range of B2B partnerships, where they supply their pricing and exchange technology to third parties.
We tested Marin Bidding on Apple Search Ads and our CPAs came down by 30%. Our CPCs became more manageable and we were able to free up budget to re-invest in additional growth opportunities. We're thrilled with the results, and we plan to keep using Marin Bidding on other lines of business in the future.
Anthony Elders
Head of Search at Paddy Power Betfair
Challenge
Advertising for both the Paddy Power and Betfair apps is optimized toward installs in the App Store (on Apple devices) and Google Play (on Android devices). Historically, much of the bidding was a manual process, which took a significant amount of time and led to inefficiencies.
The apps were being promoted on Apple Search Ads, a publisher that offers marketers a way to promote mobile apps in the App Store and help users discover apps on iPhones and iPads. However, they were experiencing very high CPCs, which were then translating into correspondingly high CPAs.
The Paddy Power Betfair team set out to increase efficiency and test how low they could drive CPCs and CPAs without seeing a dip in-app installs or revenue.
Solution
The Paddy Power Betfair team decided to test Marin Bidding on their Apple Search Ads campaigns to see if they could improve efficiency and lower CPCs and CPAs while maintaining steady app installs and revenue.
The team put together several Bid Strategies, optimizing toward a cost per lead goal, and let Marin’s automated bidding algorithm do what it does best -- calculate the optimal cost per click needed to meet the team’s specific CPA goals. Marin’s machine learning handled all the hard work behind the scenes, leaving the team free to focus on other growth opportunities.
Results
After testing Marin Bidding for approximately two months, the result was a roughly 30% reduction in CPAs while maintaining volume, app installs, and revenue.
This improvement in efficiency then freed up enough budget so the team could apply it toward other marketing programs, reinvesting the money to increase volume in other verticals.
A Marin Bidding test on Apple Search Ads campaigns led to increased efficiency, resulting in a roughly 30% reduction in CPA and a corresponding improvement in CPCs.
Despite the improvement in CPCs and CPA, there was no significant dip in volume, app installs, or revenue
The efficiency improvements allowed the Paddy Power Betfair team to reinvest budget in additional growth opportunities.
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PPC for B2B: a Performance Marketing Survey Report for 2023
To help you stay on the leading edge of performance marketing, we surveyed over 300 B2B marketers to uncover actionable insights that will help you improve the performance of your PPC investment. Through a Marin and LinkedIn partnership, we sought out to understand what B2B marketers face right now and how they are dealing with a complicated market. Read the full report to get a better understanding of how B2B marketers are changing their approach this year.
What You'll Learn from the Report:
How budgets have changed through the years 2020 to 2023 and how budgeting complexities affect the work of advertisers this year.
What challenges are most prevalent this year and how other marketers like you are adapting.
The critical role audience targeting plays in your success, especially during a recession, and some interesting trends relating to targeting techniques.
The types of content and campaign management techniques are currently helping advertisers move buyers through the sales funnel.
What paid social or PPC channels are providing the best ROAS or conversions for B2B right now.
We all know that Performance Max campaigns on Google Ads offer significant opportunities for growth. However, even the most experienced marketers can stumble into common pitfalls. We’re only human, after all.
I’m going to assume you know the basics, like having lots of asset variations, using audience signals, etc. For a refresher on those, check out our post on PMAX best practices. Let’s dissect some of the trickier mistakes you may not even know you’re making with your PMAX campaigns.
Mistake #1: branded search conversions inflating your data
If someone is Googling your brand name, they’re probably trying to go directly to your site. If PMAX ads are running on these terms, you’re paying for traffic that you otherwise would be getting for free. Of course, defending your position at the top of your branded SERP is important. Your competitors could be bidding aggressively on your brand terms in hopes of convincing searchers that they are the better choice. To defend your brand’s presence in the SERP, make a separate traditional search and/or shopping campaign optimized toward an impression share goal and bid on branded keywords. Then, exclude brand traffic from PMAX.
You can check the impact of brand terms on your PMAX campaign in Google Ads by going to Insights > Consumer spotlight > Search term insights. This report tells you the number of conversions and asset groups associated with each search category. If brand is one of your top search categories, you’ve got a problem.
Solution: Exclude branded traffic from your PMAX campaigns.
There are two ways to exclude brand traffic from PMAX: brand exclusions and negative keyword lists. Negative keyword lists apply to all traffic, whereas brand exclusions work only across search and shopping traffic.
To apply brand exclusions, simply navigate to your PMAX campaign’s settings. Scroll down to Brand Exclusions, then enter the name of the brand list you wish to exclude. If you haven’t created a brand list yet, you can do so right in the PMAX campaign’s settings or in the Shared Library.
To apply a negative keyword list, you have to fill out the Performance Max Campaign Modification Request Form. This form will provide you with a Google Sheet template you can use to apply negative keywords. You can also request to apply a negative keyword list that already exists in your Google account if you’ve already got one that you’re using for traditional nonbrand search campaigns.
Mistake #2: relying on Google Ads conversion data
Don’t trust the conversion and revenue data Google Ads provides. Google Ads conversions are ‘estimated’ because data privacy laws prevent the ad-serving platform from using third-party cookies to accurately track users across the web.
Solution: Implement a solution that tracks every conversion touchpoint in your funnel.
Choosing one that uses first-party cookies like Google Analytics or Marin Attribution will ensure that there are no tracking gaps after third-party cookie deprecation.
Google Analytics is the most common choice, but marketers far and wide are having issues with the new Google Analytics 4 (GA4). Common complaints include data discrepancies, a poor API, and an overly complex, unintuitive UI. To quote Reddit user NewAccountPlsRespond, “Why does creating an insanely straightforward and simple report involve having 5 dimensions, 3 audiences, and numerous inputs? Like holy hell. And don't get me started on the API”.
GA4 may get the job done, but try an independent solution like Marin Attribution if you’re looking for something more user-friendly. Marin Attribution tracks conversions and revenue across all marketing channels and lets you choose the attribution model that best fits your business. All your conversions are displayed side by side in a straightforward UI.
Regardless of which tracking solution you choose, ensure that your tracking codes are placed correctly on every page of your website where a conversion could occur. Then, make sure that data is being fed back into your Google Ads account via the API. Review your PMAX campaign’s settings to ensure that its conversion goals reference that first-party data.
Mistake #3: Leaving “auto-apply recommendations” on
Sometimes, Google’s recommendations seem to be more about increasing revenue for Google than actually optimizing your campaigns. While some of their recommendations are helpful, auto-applying all recommendations is never the right move. I wrote another post about the importance of using publisher-independent platforms for things like tracking and recommendations, and you can check that out here for more details. In summary - did your teacher let you grade your own homework? No? Then why would you trust Google to auto-optimize your Google campaigns?
It’s critical that you understand how, when, and why changes are happening in your account. Sure, you can review Google’s recommendations and apply any that align with your goals, but there will likely be many recommendations that you choose to dismiss.
Solution: Turn off auto-applied recommendations
Navigate to the ‘Recommendations’ page and click ‘Auto-apply’ in the upper right corner. Then click ‘Maintain Your Ads’. Here you’ll find a checklist of all the different types of changes Google can auto-apply to your campaigns. I recommend unchecking all of them. You’ll still see them in the Recommendations tab, and you can manually apply them if you see fit. Here’s a step by step video guide that will help.
Mistake #4: ‘Presence or Interest’ location targeting
PMAX location targeting defaults to ‘presence or interest’ meaning it will serve ads not only to people in your target locations but to those ‘interested’ in those locations too. ‘Interested’ users are usually people who plan to travel to your target location soon. It can be good to target travelers if you’re in the hospitality or entertainment industry, but if you’re a dentist, for example, people probably won’t make an appointment at your office while they’re on vacation.
Solution: Switch your location targeting settings to ‘Presence’
This will only target people who live in or regularly visit your target locations. You can do this under campaign settings > location options.
Mistake #5: Leaving URL Expansion on
URL Expansion is on by default for PMAX campaigns. This means that your PMAX campaigns will send users to whatever landing page on your site Google deems most relevant to the search term, NOT your final URL. This sounds good in theory - searchers are sent to the most relevant LPs possible. But you don’t want to be paying for ads that send traffic to an LP with no call to action!
Solution: Opt out of final URL expansion or exclude URLs
In campaign settings, under ‘Final URL Expansion,’ you’ll find two options:
Your first option is to leave final URL expansion on but exclude certain URLs. You can either list out URLs to exclude or use a ‘URL contains’ rule to exclude URLs that contain certain text strings. This option may be the best of both worlds if the majority of your site’s landing pages are paid search optimized and feature CTAs.
Your second option is to turn off URL expansion entirely. Choose this option if you have only one LP you want to send paid search traffic to.
Can you trust Google?
PMAX was sold to paid search marketers as a sort of set-it-and-forget-it, self-optimizing campaign type. I don’t know about you, but I don’t let the house set my bets for me when I gamble. Similarly, I’m not going to let Google spend my money for me.
A lot of the pitfalls I described above occur due to Google auto-applying optimizations in an illusive way. If you want straightforward, publisher-agnostic help improving your cross-channel campaigns' performance, Marin’s Insights can help.
Insights are customized, cross-channel recommendations designed to improve campaign performance. Powered by AI, they will uncover opportunities to reduce wasteful spending and maximize performance across all your publisher accounts. Schedule a demo today to learn more.
EasyGo increases conversions from Apple Search Ads by 42% with Marin
EasyGo, headquartered in Melbourne, Australia, is a pioneer in the online gaming industry. They develop high-quality, engaging games and have quickly become one of Australia’s fastest-growing companies. Their marketing team leverages Apple Search Ads (ASA) to reach users actively searching for gaming apps on the App Store, ensuring they capture high-intent users at the moment of interest.