Please visit Search Engine Land for the full article.
Please visit Search Engine Land for the full article.
Google AdWords is a highly effective marketing channel for brands to engage with customers.
The auction-based pay-per-click (PPC) model has revolutionized the advertising industry, but beneath the seductive simplicity of this input-output relationship lies a highly sophisticated technology.
Within this article, we round up five advanced features that can help you gain that vital competitive advantage.
Google AdWords has undergone a host of changes over the past 12 months, some cosmetic and some functional. Google’s prime revenue-driver has a new, intuitive look and feel that makes it even easier for marketers to assess performance and spot new opportunities.Under the hood, AdWords is home to some increasingly sophisticated machine learning technology. Everything from bid adjustments to audience behavior and even search intent is now anlyzed by machine learning algorithms to improve ad targeting and performance.
All of this is changing how we run search campaigns, largely for the better.
Meanwhile, there are broad trends that continue to converge with search. Voice-activated digital assistants, visual search, and the ongoing growth of ecommerce all center around Google’s search engine.
At the intersection of Google and these emerging trends, paid search will evolve and new ways to reach audiences will arise.
Though this future-gazing reveals just how exciting the industry is, marketers also need to keep one eye firmly on the present.
As it stands, AdWords provides a vast array of features, all of which can impact campaign performance. Though automation is taking over more aspects of the day-to-day running of an account, there is arguably more need than ever before for seasoned paid search experts how know how to get the most out of the platform.
Below are five advanced AdWords features that can boost any PPC campaign.
For all of AdWords’ virtues, it has not been able to rival Facebook in terms of sheer quantity of demographic targeting options.
As part of Google’s ongoing shift from a keyword focus to a customer-centric approach, demographic targeting has improved very significantly.
This feature now allows advertisers to target customers by income and parental status, along with gender and age. Targeting by income is only available for video advertising and is restricted to the U.S., Japan, Australia, and New Zealand for the moment.
Nonetheless, this is a noteworthy update and provides an advanced feature that many brand will welcome.
The available options now include:
Demographic targeting for Search, Display or Video campaigns:
- Age: “18-24,” “25-34,” “35-44,” “45-54,” “55-64,” “65 or more,” and “Unknown”
- Gender: “Female,” “Male,” and “Unknown”
Demographic targeting for Display or Video campaigns can include:
- Parental status: “Parent,” “Not a parent,” and “Unknown”
Demographic targeting for Video campaigns can include:
- Household income (currently available in the U.S., Japan, Australia, and New Zealand only): “Top 10%,” “11-20%,” “21-30%,” “31-40%,” “41-50%,” “Lower 50%,” and “Unknown”
Combined with the improved user interface, this can lead to some illuminating reports that highlight more detail about audiences than we have ever seen in this platform.
It’s not perfect yet and has some drawbacks in practice, as creating audiences can be quite labor-intensive when combining different filters. Nonetheless, demographic targeting is improving and will be an area of focus for Google this year.
Our previous article on demographic targeting goes into more detail on how to set this feature up.
A very natural byproduct of the increase in mobile searches has been an explosion in the number of calls attributed to paid search.
In fact, BIA/Kelsey projects that there will be 162 billion calls to businesses from smartphones by 2019.
Search forms a fundamental part of this brand-consumer relationship, so businesses are understandably keen to ensure they are set up to capitalize on such heightened demand.
Click-to-call can be an overlooked opportunity, as it does require a little bit of setup. If advertisers want to add call extensions, report specifically on this activity, and even schedule when these extensions appear, it is necessary to do this manually within AdWords.
Helpfully, it is now possible to enable call extensions across an account, simplfying what was once a cumbersome undertaking.
This is becoming an automated process in some aspects, whereby Google will identify landing pages that contain a phone number and generate call extensions using this information. However, some manual input will be required to get the most out of this feature.
Our step-by-step guide contains a range of handy tips for marketers who woud like to enable click-to-call campaigns.
Optimized ad rotation
Google made some very notable changes to its ad rotation settings in the second half of 2017.
In essence, ad rotation constantly tests different ad variations to find the optimal version for your audience and campaign KPIs.
Google’s machine learning technology is a natural fit for such a task, so it is no surprise that Google wants to take much of the ad rotation process out of the hands of advertisers and turn it into a slick, automated feature.
Perhaps this focus on the machine learning side of things has led advertisers to beleive that the process now requires no input from them.
A recent study by Marin Software across their very sizeable client base found that many ad groups contain fewer than three creatives:
This is very significant, as Google recommends providing at least three ads in every ad group. Their official stance is, “The more of your ads our system can choose from, the better the expected ad performance.”
Creating a range of ads provides the resources Google needs to run statistically significant tests. No matter how sophisticated the machine learning algorithms are, with only one or two ads in each group there is very little they can do to improve performance.
There is a broader lesson to be taken here, beyond just getting the most out of this AdWords feature.
Even the most advanced technology requires the right quantity and quality of inputs. Although more and more elements of AdWords management can be automated, this doesn’t mean we can leave the machines to their own devices.
There are plentiful best practices that we still need to follow. Optimizing your ad rotation by including at least three ads in each group certainly counts as one of these.
Custom intent audiences
Google is clearly making a play for more of the traditionally ‘top of funnel’ marketing approaches.
The launch of more granular custom intent audiences with the Google Display Network is part of a wider strategy to take on the likes of Facebook by providing greater control over target audiences.
Google’s guidelines provide clear definition over how this recently launched feature works:
For Display campaigns, you can create a custom intent audience using in-market keywords – simply entering keywords and URLs related to products and services your ideal audience is researching across sites and apps.
In-market keywords (Display campaigns)
- Enter keywords, URLs, apps or YouTube content to reach an online audience that’s actively researching a related product or service.
- It’s best practice to add keywords and URLs (ideally 15 total) that fit a common theme to help AdWords understand your ideal audience.
- Avoid entering URLs that require people to sign in, such as social media or email services.
- Include keywords related to the products and services that this audience is researching; these will be used as the focal point for building the custom intent audience.
Custom intent audiences: Auto-created (Display campaigns)
To make finding the right people easy, Google uses machine learning technology to analyse your existing campaigns and auto-create custom intent audiences. These audiences are based on the most common keywords and URLs found in content that people browse while researching a given product or service.
For example, insights from existing campaigns may show that people who’ve visited a sporting goods website have also actively researched all-weather running shoes. AdWords may then auto-create a new ‘waterproof trail running shoes’ custom intent audience to simplify the process of reaching this niche segment of customers.
Once more, we see the addition of machine learning into a core Google product.
These automated audience lists are generated based on activity across all of your Google marketing channels, including YouTube and Universal App Campaigns, along with Search and the Google Display Network.
Although this does not yet provide the level of targeting that Facebook can offer, custom intent audiences do dramatically improve the product and they move Google closer to a truly customer-centric approach.
Sophisticated advertisers will find thata this advanced feature improves performance for both prospecting and remarketing.
Smart bidding has some crossover with the other AdWords features on our list. In a nutshell, smart bidding uses machine learning to asses the relationships between a range of variables and improve performance through the AdWords auction.
It is capable of optimizing bids to ensure the best possible return on investment against the advertiser’s target KPIs. Smart bidding does this by looking at the context surrounding bids and isolating the factors that have historically led to specific outcomes. Based on this knowledge, it can automatically bid at the right level to hit the advertiser’s campaign targets.
These targets can be set based on a target CPA (cost per acquisition), ROAS (return on ad spend), or CPC (cost per click).
The latest option available to brands is named ‘maximize conversions’ and this will seek to gain the optial number of conversions (whatver those may be for the brand in question) against their set budge.
As we have noted already, these algorithms require substantial amounts of data, so this is a feature best used by this with an accrual of historical AdWords performance data.
Smart bidding is also not quite a ‘set and forget’ bidding strategy. Some marketers will still prefer the control of manual bidding and it would be fair to say that smart bidding levels the playing field somewhat across all advertisers.
Nonetheless, it is a hugely powerful AdWords feature and can create multiple account performance efficiencies.
Google provides some thorough detail on smart bidding on the Google Support blog.
Please visit Search Engine Land for the full article.
Please visit Search Engine Land for the full article.
Please visit Search Engine Land for the full article.
A topic that is hugely important for any marketer is that of targeting – making sure your budget gets spent on the people most likely to buy from you.
With all the features available to us across digital advertising platforms, we’ve never had it so good.
Yet most marketers I speak to at events are unaware of the options available to them, and are unfortunately still wasting a lot of their click spend on irrelevant people who simply don’t convert.
In this article, I will explore how to carry out advanced audience targeting in Google AdWords, which features you can use to make your marketing budget work a lot harder, and how to use them.
When you talk about AdWords and/or PPC, most people first think of search ads, so we’ll also start there. The audience options on the Google Search Network are a good place to begin thinking about how you will adapt spend towards the people most likely to purchase or inquire.
These days it isn’t as simple as choosing a suitable bid for any given keyword. For half a decade we have been able to use bid modifiers to optimize the best performing parts of an account and automatically spend more money there. Advertisers can automatically weight budget and bids depending on a few criteria:
- Device type
- Time (which can be the time of day, or the day of the week)
You can ask Google to apply a higher bid of up to 300% more than you would normally spend if certain criteria are met, or reduce bids by up to minus 100% (i.e. turn it off).
I am yet to meet a business that can’t improve their PPC spend by considering these factors.
Ask yourself questions like:
- Does the location of where a search is made influence the likelihood of conversion?
- Is someone using a mobile device worth more or less than someone on a desktop?
- Are you happy spending as much on traffic during the evenings as you are during the day?
One way or another, each of these should influence how you spend your money.
As an example, if you are a retailer with high-street stores and an ecommerce site, then bid adjustments need serious consideration.
If someone is searching on their phone, within walking distance of one of your stores during opening hours, then they are probably worth bidding more for. Send them into the store where they will probably have a higher average spend than they would online.
If you take away one of those factors (it’s now an out of hours search, or they are on a desktop at home) then lower the bid and send them to the ecommerce site.
It is important to understand the difference in value for each type of search and reflect that in your bidding strategy.
A more recent addition to this is demographic bidding. You can now also choose to modify bids depending on:
Is your target market younger males? Then bid more for them, and lower bids if searches are performed by females or older people. This allows you to bid on more broad keywords that you may have avoided before, as you can be more certain of the person clicking.
For example, a clothing company targeting men can bid on broad keywords like “skinny jeans”, which would traditionally have attracted more clicks from females, but that audience can now be excluded.
Before looking at the really interesting audience targeting options here, I want to talk about the basics.
Even though a frankly outrageous sum of money gets spent on Google search ads every single day, people don’t actually spend that much time searching. We spend the majority of our time online doing other things like reading news articles and special interest blogs, watching videos, chatting in forums etc.
PPC advertisers can also use Google AdWords to appear here, on the Google Display Network (GDN) with videos, banners and text ads.
Targeting options are plentiful. To start, you can use Placements and Keywords. Placements are the websites you hand-pick for showing your ads, whereas keyword targeting is based on the text showing on web pages, which you might want to appear against.
Taking it a stage further, you can also bid demographically (not only sex and age, but on the GDN you can also choose parental status). This isn’t a situation where you have to choose one or the other; instead, you can layer these options to really refine your audience.
For example, if you are launching a new range of baby clothes, then you may choose to advertise to females who are in their 20s and showing as parents, choosing only to place adverts on baby-related websites and on pages where your competitors are named or where certain target words are present.
The first of the more advanced targeting options that you can choose to implement, as well as or instead of the above, is affinity audiences.
Google refer to these as “TV-like audiences” and they are based around topics of interest. Data is collected as users engage with pages, applications, channels, videos and content across YouTube and the GDN. This information is then collated and used to build a profile of who they are, and what advertisements can be tailored to their personality and preferences.
You should view an affinity audience as a group of individuals who have a general, long-standing interest in a specific subject.
As advertisers, we can take advantage of Google analyzing someone’s overall interests, passions and lifestyle to get a better sense of their identity. If you think about your browsing behavior, there will be certain themes and patterns that are easy to spot and brands can choose to advertise to you and everyone else with the same interests.
If the ready-made audiences like “beauty mavens” or “running enthusiasts” aren’t quite specific enough for you, then you have the ability to build your own.
Custom Affinity Audiences can be created, where you give AdWords a list of keywords that detail the area of interest and also websites that would be frequented by your audience (authority news sites and strong rivals are good starting point) and then it creates a theme for you.
Wouldn’t it be amazing if you knew someone was just about to buy a product in your market? Well now you can. AdWords can qualify someone as being “in-market” for a specific product or service, i.e. they are further down the conversion funnel and are actively considered purchasing a product or engaging with a service that is similar to what you offer.
In-market audiences take into account clicks on related ads and subsequent conversions, along with the content of the sites and pages that a person visits, as well as the recency and frequency of the visits.
You should view in-market audiences as individuals who are temporarily interested in a specific segment. For example, if I am not a car enthusiast and I don’t read a lot of automotive publications then I won’t be in the automotive affinity audience, but for a short period of time, every once in a while, I would fit into an automotive in-market audience when making a new car purchase, showing this intent by researching and comparing cars online.
I often get asked how accurate this is and, from the campaigns we’ve run, we have seen good results. This is down to a lot of effort from Google where AdWords examines repeated patterns of behavior, sets personalized algorithms and updates in real-time, so people not interested or who have already spent their money soon drop out.
Whilst you are able to target pre-defined in-market audiences, you may want to consider segmenting existing affinity audiences in order to re-engage with users already aware of your brand. This increases effectiveness and gives you full control of moving that user through the conversion funnel and toward your products or service.
At this point in the process, your marketing messages should showcase exactly what your brand has to offer and how it differs, alongside any promotions. Make use of all sales tools at your disposal here as these people are looking to spend now and may not be back for a while, if at all.
Very similar to in-market audiences is an additional type of targeting that came out last year – the ability to advertise to people just before or just after a few big events that take place in their lives. Namely:
- Graduating from college
- Getting married
- Moving house
Even though there are just three options to choose from, there are huge industries that surround each one. Take someone moving home, for example: there are property lawyers, estate agents, removal companies, furniture retailers, kitchen fitters, and many more that should all be considering this audience and factoring it into their advertising strategy.
So, when you’ve done all of this work and now have all of these well-targeted people visiting your site, the sobering reality is that most of them still won’t do what you want them to.
The stats show that you should expect over 90% of people to leave your site without converting, 70% of people to abandon your shopping cart without purchasing, and 2-3 visits before someone crosses the line. You need to have a remarketing strategy in place to start turning these stats around and getting visitors back to convert.
Remarketing works after a cookie is placed into the browser of website users and it gives you the ability to show different ads to people depending on the actions they have (or often more importantly, have not) performed when on your site. It’s powerful – Google data tells us that people on one of your remarketing list are twice as likely to convert as a regular visitor.
To make the most of this, think about what you’d say differently to someone who purchased your most expensive product, versus someone who purchased your cheapest. For the former you may use ads to invite them into a VIP club or ask them to refer a friend, whereas the latter you may just try to upsell.
What about someone who abandons the shopping cart? Could you entice them back with a discount? In this situation you could even layer up your targeting with in-market audiences – when someone who previously visited but didn’t buy from you now shows signs that they are close to purchasing, it is time to bring out your strongest offer.
Remarketing Lists for Search Ads (RLSA)
When remarketing was first launched in AdWords, it was available across the Google Display Network, but the search side of things was left out. However, a few years ago we saw the launch of Remarketing Lists for Search Ads (RLSAs), which allows advertisers to also remarket on the search network.
This opens up huge new options for advertisers, as you can display different ad copy and choose different bids and landing pages for your Google search ads if the people searching are on your remarketing lists.
A good example of how game-changing this can be is in the retail sector. If I have a shop that sells gifts online and want more purchases at Christmas, then traditionally I would have had to be very careful with the keywords I bid on, making sure I only cover searches specific to my products.
Broad keywords like “presents” and “gifts for men” ordinarily would not be profitable and would just burn through my budget. RLSAs let me target those keywords, only showing to people who had purchased gifts from me last Christmas.
As I know they are far more likely to convert, I can afford to out-bid the other advertisers and can write ad copy that rewards repeat custom. You can think in a completely different way and have the freedom to almost abandon traditional PPC rules when someone is on your remarketing lists.
If you have a database of customers and prospects that you want to advertise to, perhaps to get them to repeat purchase, or to get them to actually purchase for the first time, then you can use Customer Match to speak to these audiences.
Your email lists can be uploaded into AdWords and you can then approach these people in a similar way to how you’d remarket them. When they are logged in to Google you can show them unique adverts and use different bids across Search, Shopping, YouTube, and Gmail advertising.
The big win here is that it works cross-device, as people tend to be signed in to their Google accounts on phones, tablets and desktops. This is where remarketing often fails, due to the cookie being device- (and even browser-) specific.
This can be powerful for cross-selling (e.g. if someone bought a flight with you, use this to sell them car hire) and it is great for informing existing customers of new releases and any special limited-edition runs.
It is also quite a safe environment to test out new sales offers, as you already have a relationship of some kind with these people so can judge how well things are received here before rolling them out to unknown audiences.
Remember that for remarketing to work really well, you need to be as granular as possible, meaning that by their very nature, the lists often aren’t huge. But if your remarking lists are performing strongly and you’d love the chance to have more traffic just like them, what can you do? This is where something called Similar Audiences comes into play.
If you have used lookalike targeting on Facebook or the prospecting tools within many of the programmatic platforms then this will be familiar. It’s where you ask Google to look at the audiences within your remarketing lists and go find more people just like them.
Available on both the search and display networks, this is a simple way to find new, prequalified users and often returns additional audiences around 5 times the size of your remarketing ones. It automatically updates, so when someone clicks on an ad and joins your site, they become a remarketing list member and are removed from the similar audience list.
Google data shows that brands typically experience a 41% uplift in conversions here. In our work for clients in retail and finance in particular, we’ve seen this go even higher.
Start your audience strategy
If you are keen to try out these features but don’t know where to start, take a look in your Analytics data.
Begin to identify the types of people coming to your site and those that convert. Where are they located? What devices are they using? What times are conversions highest during the day or week?
Bring those themes into your search and display targeting and use the tools within AdWords to find out where these people hang out online, what topics they are passionate about. Additionally, start thinking about how you’d show them different offers once they’ve already been to your site. You’ll be glad you did.