No matter how much data you have about your clients or customers, you can always use more. You want to know: How do they like to receive information? When do they peruse the web? When do they make decisions? What subject lines appeal to them? Are they more emotional or analytical in nature? Do they respond better to humor or statistics? This is especially truth with responsive search ads.
On a more general level, of course, you probably already know much of this about your audience. But to what extent? If youâ€™re like most companies, you could stand to get significantly more granular. For instance, if you send out an email with two different subject lines with a one-word difference, can you predict which one theyâ€™ll choose?
Probably not. Yet it could be the difference between getting a click and not, making a sale and not, gaining a client for life â€¦ and not.
In a nutshell, A/B testing lets you find the optimum approach in any situation, so that you can replicate those results next time and refine them for ever-greater conversion. When you do this over and over again, for every campaign â€“ while simultaneously optimizing bidding and analyzing your results â€“ the outcomes are pretty amazing.
Yet sadly, according to a survey of 800 digital marketers, less than 40 percent of companies use A/B testing in their campaigns.
Well, we should clarify, itâ€™s sad for them. Really, itâ€™s a positive for you. It means your competition is seeking good enough results, making it easier for you to seek the absolute best ones and rise to the top of your field.
But running A/B tests is hard, not to mention time-consuming. When you include writing new ad copy, loading those ads, optimizing them and analyzing them, thereâ€™s a lot more to do. Even writing copy can take its toll. Once you write several headline and body copy versions, then you have to mix and match them to create multiple combinations, load them in, etc.
If youâ€™re getting a headache right about now, take a deep breath. What if we told you that this approach wonâ€™t be necessary for much longer?
Enter Googleâ€™s new responsive search ads (beta), an answer to the prayers of any dedicated online advertiser. Responsive search ads are Google Ads newest ad type, launched alongside their latest overhaul of the interface. Meant to help further automate A/B testing and PPC ad optimization, responsive search ads are adaptive, delivering a more relevant message to searchers based on their queries.
With this ad type, you provide multiple headlines and descriptions when you create the ad. Then Google Ads does the heavy lifting adjusting your adâ€™s content to match search queries, testing different combinations of text and discovering which is the most relevant for your audience.
The new responsive search ads are currently in beta and not yet available to all advertisers. To see if your account is eligible, log in to Google Ads then click on â€śAds & extensionsâ€ť from the side menu. You should see an option to create a â€śResponsive search ad (beta)â€ť.
If you just see the normal options like text and call-only ads, youâ€™ll have to wait a little while for the full rollout.
If youâ€™re one of the lucky few who get to participate in beta, you can create and add responsive search ads to your existing campaigns now.
So letâ€™s talk about what these ads are and what they can do for your business. Weâ€™ll also take a look at how you can use them to automate ad copy creation and A/B testing, as well as several best-practices tips for integrating these into your marketing routine.
So if youâ€™re ready to save time, learn more about your audience, outstrip the competition and increase your conversions, get ready to take notes. Responsive search ads are about to be yours.
Features and benefits of responsive search ads
In the past, Google has always suggested advertisers create multiple expanded text ads for each ad group to help advertisers test and identify the most effective ad copy for your marketing goals. Itâ€™s time consuming, but worthwhile if you want to get more reach for your ads and understand how your audience reacts to different messages. Now, responsive dynamic ads are positioned to make this â€śbest practiceâ€ť obsolete by allowing you to test ad copy variations all in one place.
And while theyâ€™re similar to expanded text ads, responsive ads have some key features that set them apart:
- They can show up to three headlines instead of two
- They can show up to two 90-character description fields (vs one 80-character field for expanded text ads)
- You can include up to 15 headlines and 4 descriptions to combine for a single search ad
- Most importantly, Google Ads automatically rotates combinations based on search queries.
By providing a series of headlines and description options to Google Ads, users save time A/B testing different ad element combinations. This also has a secondary effect of giving you more opportunities to compete in auctions as your multiple headlines and descriptions can be relevant to more search queries. Over time as Google Ads shows your different ad text combinations, it will identify and automatically prioritize the best performing variants for you.
If those benefits arenâ€™t enough to convince you to try out responsive search ads, just remember that theyâ€™re allowed more real estate in SERPs than any other ad-type. Whatâ€™s not to love?
Like with every ad type, there are of course some limitations when using responsive search ads. Advertisers who are already less inclined to give over full optimization to the Google Ads machine wonâ€™t be chomping at the bit to try out this latest ad type. It appears that responsive search ads also donâ€™t fully support ad customizers, a feature many advertisers love to use to manually tailor their ad message to user search queries. But that might change in the long run.
With all that in mind, itâ€™s still clear that responsive search ads can help increase your ad group performance overall, if you take full advantage of the benefits.
7 tips for creating your first responsive search ads
Ready to start realizing the many benefits of responsive search ads for yourself? If you got beta access (or the full rollout has happened by the time you read this), here are 7 tips you should follow to ensure your responsive search ads meet qualifications, help you automate your ad text optimization, and more.
While in beta, youâ€™ll only be able to add responsive search ads to campaigns with existing text ads. Ensure you have at least one expanded text ad in your ad group before moving forward creating your first responsive search ads.
1. Use a lot of headlines
When creating your first responsive search ad, youâ€™ll need to provide a minimum of 3 headlines and 2 descriptions to rotate. But Google Ads recommends you provide at least 5 different headlines for your responsive search ads to increase the chances that your ad shows. The more options you provide, the more opportunities there are to appear for search queries and optimize your ads for the most relevant message. Using as many as 8 or 10 headlines would be ideal to get the most benefit out of this ad type.2)
2.Â Â Avoid redundancy
No matter how many headlines you include, make sure the variants are sufficiently different from each other. If you use too many of the same or similar phrases in your headlines, the system will have more trouble generating ad combinations.Hereâ€™s an example of a poorly optimized responsive search ad because of redundancy issues:
Similar headlines like â€śFashionable Womenâ€™s Shoesâ€ť and â€śTrendsetting Womenâ€™s shoesâ€ť make it hard to generate ad combinations and ultimately limits the benefits of this ad types to reach a larger audience with your diverse ad descriptions.
Try varying lengths of the headlines you create and add at least 2 distinct descriptions. It is possible for responsive search ads to show up to two descriptions at a time, making it even more important to avoid redundancy.
3.Â Ensure all possible combinations make senseÂ
Itâ€™s possible for your headlines and descriptions to appear in any order, so you need to make sure all combinations make sense when viewed together. Google Ads recommends writing your first 3 headlines assuming they would appear together in your ad. Does the message make sense/avoid redundancy?
Hereâ€™s an example of a responsive search ad thatâ€™s well optimized:
All headlines and descriptions are unique and make sense no matter how you pair them up.
4.Â Highlight features and benefits
Your responsive ads shouldnâ€™t be about using different words/phrasing to deliver the same message for your headlines and ad description. Instead you should focus on illustrating different features and benefits of your product/service to see which ones are the most effective at driving clicks.
For example, say youâ€™re advertising international health insurance. â€śFree quote,â€ť â€śglobal coverageâ€ť and â€śPlans start at $199/monthâ€ť are examples of benefits you can test as part of your description variations.
5.Â Limit keyword insertion
Google Ads recommends that you do include a target keyword in 2 of your headlines, but also have at least 3 more that donâ€™t include any keywords. This also has to do with redundancy issues. Including keyword insertion in too many headlines can lead to redundant text in the ad.
Hereâ€™s an example of a poorly optimized responsive search ad because of this problem:
6.Â Pin important information
There may be some important information that you want to appear in every ad text combination. In order to include this text while avoiding redundancy, youâ€™ll want to pin it to the ad. You can pin text at Headline position 1 or 2, or Description position 1. Make sure the text you pin is less than 80 characters long.
If you need to include a disclaimer in all your ads, for example, just write it in one of your descriptions then pin it to Description position 1. That will ensure that every ad will include the disclaimer in that part of the description.
That said, you should really only pin information that you really need to appear on every ad, because it otherwise limits the number of headlines or descriptions that can appear for a search query. For that reason, Google Ads doesnâ€™t recommend pinning for most advertisers.
7.Â Monitor performanceÂ
Google Ads may use automation to help advertisers create, show, and optimize their ads, but thatâ€™s no reason to not monitor performance metrics yourself. On the ads & extensions page you can see performance metrics for each of your responsive search ads, including all the standard stats you receive for other ad types.
These statistics are performance totals of all the combinations of headlines and descriptions for that particular responsive search ad. Unfortunately, thereâ€™s currently no way for advertisers to see how individual ad text variants perform against each other within the ad. Theyâ€™ll have to trust that Google Ads is doing a good job of optimizing them.
Probably the most interesting thing to look at is how your responsive ads compare to your regular text ads. Assuming youâ€™re fully utilizing the features of responsive search ads, Google Ads should help you create a more visible and effective ad based on query relevance and audience behavior.
Machine learning and the future of advertising
Google Ads has changed a lot in recent years, and continues to roll out new features and ad types that rely heavily on machine learning and automation for optimization. Responsive search ads are just the latest addition that require users to relinquish more control in order to benefit from insights and optimization capabilities.
There will always be traditional advertisers among us who love nothing more than to analyze performance and manually tweak ads themselves to perfection. Thereâ€™s no denying the power of the human touch to create a highly targeted ad that speaks to audiences on a granular level.
But the truth is most businesses today donâ€™t have the time or resources to manually target and optimize their ads at scale. And as more big data insights are available to help improve ad targeting in real-time, it would be unwise to overlook this resource and risk falling behind the competition as an advertiser.
There are already a number of bid management tools and predictive advertising technologies that make it simple to synthesize and automatically derive insights from consumer data to optimize your bids and minimize wasted ad spend. Advertisers who embrace the power of machine learning are already benefiting from these technologies to outbid and outperform their competitors.
Google Adsâ€™ machine learning and automation features are no different, and are coming at the perfect time for most busy advertisers. Responsive search ads are just an example of the direction things are heading for ad creation, optimization, and bid targeting. Advertisers who choose to embrace and fully utilize these technologies are the ones who will best illustrate their benefits early on. In the long run, machine learning is the way of the advertising future.