We’re delighted to reveal our latest work for long-standing client Brightsolid: a brand new web site and digital positioning that supports the company through its strategic move into the managed cloud and AWS space.
The site blends a bespoke theme with the truly legendary content management capabilities of WordPress, augmented by Beaver Builder’s page editor, giving Brightsolid a significant update from the website we produced for them in 2018, which in turn was a significant evolution from the site we created in 2017. Naturally, the site is hosted on the client’s AWS environment, and we’ve enjoyed working with the infrastructure team to learn all about the platform and the incredible capabilities it brings. We’re excited to see how the team at Brightsolid takes the message on AWS and its benefits out to market which – given current circumstances – seem more relevant than ever.
Linda King, Chief Marketing Officer at Brightsolid said: “We’re delighted with our brand new website – we wanted something new and fresh to reflect our changing business and our credibility as a hybrid cloud managed service provider. We set out to create a site that focused on our business value, keeping it simple and avoiding technical jargon!. The ‘environment’ theme brings the site to life, and the use of video on our key pages is impressive. Also, as an AWS Consulting Partner, we were also pleased to be able to host our site on AWS, using a dynamic compute solution. We’ve already had great feedback on our site, and we’ve all really enjoyed working with the team at Mackerel Media over the last few months to deliver this!”
Have a browse here: https://www.brightsolid.com
Over the last few years the technical definition of Google Ads’ keyword match types has shifted massively, but the naming conventions have remained almost identical. With the upcoming addition of close variants, are we seeing a final nail in the coffin of precise keyword and search query management?
How are keyword Match Types Changing?
In a nutshell, Phrase & Broad Match Modified keywords will follow Exact match in triggering your ads for queries which share the same meaning or intent as your targeted keyword. This differs from the ‘close variant’ matches rolled out in 2014 which included “misspellings, singular or plural, stemmings, abbreviations and accents” for keywords. Instead, Google will now use its machine learning algorithms to identify if a users search query has the same intent as your targeted keywords.
In Google’s own example, we can see that not only does BMM now match to queries in any order, but individual targeted keywords can be entirely replaced by queries with a similar meaning – notice that ‘+mow’ is matched with ‘grass cutting’ and ‘cut your grass’.
Phrase Match keywords will soon also match for queries with a similar meaning – however unlike Broad Match Modified above, keyword order will be preserved. The example below shows “lawn mowing” matching “grass cutting” and “lawn cutting” then followed by “service” and “services” as expected.
What is still unclear is whether or not these upcoming changes to BMM and Phrase match targeting will use the same ‘implied information’ targeting that Exact match keywords have taken advantage of since last November. Exact “Implied Intent” matching allows Google’s machine learning algorithms to identify and match search queries containing additional longtail information to keywords in your account which you do not actively target. You can see an example of Mackerel Media’s own below:
We can see that while Mackerel Media only actively target [digital marketing edinburgh] Google’s Exact Match now ‘intelligently’ understands the intent of the query is relevant to the exact match keyword we targeted. Thats why our ads would trigger for ‘digital marketing agency Edinburgh Scotland’, ‘online digital marketing agency’ and ‘digital marketing agency Edinburgh’ – because the additional information is implied by the the keywords we target.
Avoiding Competing Keywords
At this point, you might be thinking “But what if I’m already targeting a keyword that is intelligently matched by Google – won’t this mean I’m competing against my own keywords?”.
Well, you’d be right – and Google knows it. To stop keywords that match a query from competing against each other and costing you more money, Google plans to introduce a change to it’s keyword selection process:
“If a query currently matches to an exact, phrase, or broad match modifier keyword that exists in your account, we’ll prevent that query from matching to a different phrase or broad match modifier keyword that’s now eligible for the same auction as a result of this update.”
In other words, if you are already actively targeting a keyword that Google’s algorithms intelligently identify as part of a same-meaning close variant, only your actively targeted keyword will be eligible to trigger an ad.
Why is Google Making These Changes?
Google claims that 15% of all search queries are new, and this means that advertisers are missing out on customers because the tightly controlled nature of the traditional Keyword Match Types means there is no real way to target every possible variation of a keyword.
Ultimately, the changes are an excuse for Google to flex their evolving Machine Learning capabilities. By using AI to infer intent and fill in the gaps between targeted keywords & user queries, Google hopes to reduce the vast numbers of keywords digital marketers have to create to get their ads to trigger for relevant search queries.
As a counterpoint to this: consider a company we spoke to today, who spends a generous monthly sum on Google Ads but focuses on – wait for it – three keywords. Three. 3. Troi. Drei. 1-2-3. Three in total. Those are the only ones that convert for them, and the only ones that have ever converted profitably, in years of advertising. What will this change mean for them? More negative keyword management, more wasted budget and probably a harder job to keep their account KPIs on track.
What Can We Expect?
Unsurprisingly, Google expects advertisers to see a 3-4% increase in clicks for Broad Match Modified and Phrase Match keywords. In addition to this, Google claims that 85% of those clicks will come from keywords that advertisers do not actively target.
In our opinion, this means that while clients can expect to receive more clicks to their site than ever before, keeping a close eye on the source of these clicks will be vital – checking and updating negative keyword lists will become a fundamental part of daily account management, ensuring that Ad Groups remain as focused and relevant as possible.
Consider also the halcyon days when exact match meant exact match, and nothing more. We spent a couple of weeks on the overhaul of a huge ad account with over 100k exact match and long phrase-match keywords, building out combinations upon combinations…but safe in the knowledge what we were bidding on is what we would get. Can you imagine doing that now? Clue – the answer is almost certainly “No!”
Today is our first day back in the Mackerel Media office following the Christmas break. So what better time than now to look back at some of the biggest changes Google brought us in the past 12 months – and what they could mean for 2019?
No More Google AdWords
Ever since its launch in October 2000, Google’s core advertising platform has always been known as Google AdWords. However, in July 2018, we were introduced to the platform’s new moniker – the much more streamlined Google Ads. While a simple change in name may not seem all that impressive in itself, Google also introduced us to a new version of DoubleClick known as Google Marketing Platform and revealed Google Ad Manager, a shiny new programmatic platform for large publishers and businesses.
So why is this so important to advertisers that it is the first item in our 2018 lookback?
Well, the AdWords re-branding symbolises Google’s ambitions to move away from simple text and keyword based responsive advertising and into smart, AI-driven searches which can be triggered by user behaviour, interests and even physical location. Offline, we’re seeing Google strongly push their Smart Speaker and Hey Google technology, giving us some idea of how Google expects us to perform searches in the future.
To put it another way, Google AdWords doesn’t need ‘words’ to advertise anymore. The time of Google Ads is now.
New Google Ads Interface
Along with the Google Ads name change came the introduction of an overhauled Google Ads UI – and boy, did it divide opinions in the digital marketing industry! Now, six months on, I can take a more objective view of the new interface and can report… I really like it!
The new interface isn’t without its flaws – but overall the platform is vastly improved over the old, which had been mostly unchanged for 10 years. From a practical standpoint, the new interface gives equal weighting to all campaigns types which we felt was lacking in the old UI – finding Smart Shopping Campaigns and working on them is as easy now as working on your Search campaigns, which again hints at Google’s advertising ambitions in the future.
One of the most useful features of the new Ads interface is the ability to quickly find and report on information that is most relevant to your digital marketing campaigns. As well as being able to surface potential optimisation strategies, the new Google Ads interface has introduced a number of easy-to-reach reports, which for the most part have always been beneficial in our day-to-day management of accounts. These new reports include a highly detailed breakdown of Ad Position and Rank, as well as competitor activity comparisons – both of which can provide great in-sight for clients.
On the Google Analytics side, Session Quality and Conversion Probability reports are beginning to apply machine learning to web analytics data, which in turn helps marketers define high quality audiences and include them in Smart Lists and Smart Goals for marketing campaigns. This suggests that in 2019 Google will continue to put greater emphasis on the importance of using Google Ads & Analytics together to optimise your account, as well as a possible hint that one day these may not be seen as separate tools at all…
Intelligent Targeting & Smarter Keywords
By now, it might be obvious, but 2018 was the year that fully Google embraced Artificial Intelligence.
From the introduction of Smart Shopping campaigns (which can intelligently adjust bids and product recommendation in the Google Shopping format based on user history and intent), to the introduction of responsive, dynamic ad-creative formats and automated Impression Share Targeting – Google has spent the past 12 months introducing us to new, intelligent ways of getting our ads in front of the right people at the right time.
For most advertisers, Goal Based Campaigns have been one of the most interesting additions to Google Ads in the past 12 months. Simply by picking the results you want to achieve – such as increased leads, greater brand awareness or higher conversions – Google Ads can now provide you with a greater understanding of which Google Ads campaign types will perform best for you and your budget, while it’s powerful Machine Learning can provide countless automatic bid and placement optimisations.
However, one of the most shocking changes of the past 12 months was Google’s announcement that it has applied its AI technology to one of the core staples of modern PPC marketing – the [Exact Match] keyword. From September, Google’s machine learning has meant that close variants of keywords which show “intent” – such as implied queries and paraphrasing – can trigger the previously fixed [Exact Match] keyword type. According to Google, testing has shown that advertisers see approximately 3% more clicks and conversions using this technology, however many have reported that this has just resulted in less relevant queries triggering keywords.
Updates to Ad Formats
From the roll-out of non-skippable TruView YouTube bumper ads to the introduction of a third text-ad Headline, we have seen some significant changes to the formats advertisers can use in 2018. And, unsurprisingly, Google’s AI algorithms played a huge roll here too during the past 12 months.
The most useful of these updates has undoubtedly been the introduction of Responsive Search Ads – an updated version of Dynamic search ads – which uses machine learning to match user intent to ad-creative from a pool of up to 15 headlines and 4 descriptions, individually tailoring the message a user sees to their initial search query as well as their historical search behaviour and in-market intent to increase ad engagement and CTR%.
What Does 2019 Hold for Google Ads?
I hope by now you’ve noticed a recurring theme in this blog post; Google is pushing AI in a bid to capitalise on non-traditional methods of online advertising. In 2019 expect to see the introduction of tools designed to target people using voice search technology, as well as an increased reliance on Machine Learning and AI to allow you to better target the audience that matters most to you.
What does 2019 hold for your digital marketing? If you want to find out, drop us a quick email to email@example.com.
On the 26th September 2002, Google released the first of its major search updates – Google Dance. The changes made to Google’s algorithm gave greater significance to anchor text quality allowing Google to increase the relevance of the sites it displayed when a user typed in a particular search query. Since then, Moz has documented a massive 170 Google Core Algorithm updates, with the latest ‘Medic’ confirmed as recently as August 2018.
It is important to remember that the likes of ‘Panda’, ‘Penguin’ and ‘Hummingbird’ – names every digital marketer should have heard before – are just the major search engine updates that are identified and confirmed by industry watchers such as Moz or Search Engine Land. In between these SEO seismic shifts, Google is constantly tweaking and refining its algorithms to make sure users get the best possible results for their query. John Mueller, Google’s Senior Webmaster Trend Analyst, has even gone as far as to say “Google makes changes almost every day”. That’s’ a lot of updates to keep up with!
Google’s Web Page Ranking Factors
With between 500 – 600 Algorithm updates happening each year, you might not be too surprised to hear that there are an estimated 200 factors that can influence how Google ranks a page. Unfortunately, Google has never outright confirmed what any these ranking factors actually are – often hints are given or senior members of Google teams say something cryptic, only for SEO agencies to spend weeks trying to decode new SEO ranking methods to give their clients an edge in the SERPs.
What we do know however, is that the majority of SEO ranking factors are likely outside the influence of SEO agencies or businesses. This means that the elements we can affect – such as keywords, backlinks and technical elements – are incredibly valuable to SEO work and can have a huge effect of the ‘success’ of a web page.
So, What Can We Directly Influence?
As is becoming clear, your website’s page rank is a complicated matter. When a digital marketing agency talks about how to improve your organic traffic, they’re likely thinking about at least three distinct strategies that are covered by the term ‘SEO.’
On-page is the most common form of website optimisation – and the one you probably think of when talking about SEO. Is your content unique, relevant and interesting to the user? Does your content add something new to the web? Does every page have its own unique page title, meta description and content? Are your pages correctly structured, with all images given Alt Tags?
Technical SEO covers how the site itself is structured & presented to promote a positive user experience. Google considers page load times, server response times, mobile device compatibility, Ref-Lang tags, canonicalisation and other criteria for an overall ‘health check’. Chances are if your keyword optimised website is still struggling to rank, it’s a technical SEO problem holding you back.
Finally, a SEO agency will consider your backlink profile. This where other websites – such as bloggers, industry recognised websites and even other businesses – provide a link from their website to your website. Google sees this as a vote of confidence (indeed backlinks are a core part of the founding PageRank principles of the search engine) and can help increase your overall authority. This is without doubt a hugely effective way of improving rankings.
Your SEO Is Out of Date
Last year, I wrote how SEO isn’t Dead– and concluded that on-page refinements to your SEO can still have significant impact on how your page is ranked by Google. Twelve months later, and I’m more convinced than ever that ongoing SEO work is the cornerstone of all online digital marketing activity.
With so many changes being made to Google’s algorithms every single day, ask yourself this question – when was the last time your website was optimised? John Mueller (that name again) recently revealed the importance of domain-level authority metrics, sub-domains & algorithm changes that Google now considers important ranking factors.
So, if you’re reading this thinking “well I optimised my site last year”, your page might already be lacking some SEO signposts that Google now considers to be important to Page Rank.
Of course, I’m not about to suggest that your website needs an entire SEO audit every couple of months – in fact, the stability and age of a webpage is often cited as a contributing factor to search engine rank. However, it is important to make sure that your pages are as optimised as possible for Google’s ever-changing algorithm, and that means making SEO work part of your day-to-day digital marketing strategy.
If you need to optimise your website, Mackerel can help! Get in touch today at firstname.lastname@example.org.
In the lead up to GDPR, one of the things that came up most when chatting to our clients was whether or not the Google Display Network – and display marketing in general – was suddenly going to be unusable in their digital marketing strategies. Amongst the hundreds of articles, blogs and tweets discussing the effects of GDPR on display advertising I came across an article claiming that the era of the Display Ad was at an end.
In a nut-shell, the article suggested that internet-weary consumers are becoming less receptive than they used to be to the so-called “interruption-driven” model of visual-based ad servers. This can lead to an effect known as ad fatigue – the“numbing” of users to your marketing efforts over time.
Ad-fatigue can affect display marketing campaigns, but it can also be seen with search marketing and even traditional platforms like print and television advertising. So why aren’t we reading more articles foreshadowing the death of advertising across all of these mediums?
While I don’t completely disagree with the report’s conclusions, I find it difficult to accept the idea that an entire subsection of digital marketing is dead – especially given that I keep seeing display marketing success stories here at Mackerel Media. I suspect people just don’t realise the huge potential of Display Network advertising has for most businesses when used correctly.
Building Brand Awareness with GDN
For the most part, advertising campaigns which rely on the Google Display Network are used for building Brand Awareness across the internet.
Let’s build a worst case scenario: an e-commerce business using just one piece of ad-creative across the entire Google Display Network in a “scatter-gun” fashion. Whilst the adcopy may be “on-message” for our brand, this method would mean Google could theoretically place our advertising banners or MPU’s wherever there is display inventory available, regardless of the page’s topic or our advertiser’s desired outcomes.
As any digital marketing agency worth their salt will tell you, this is an extremely inefficient use of your campaign budget – supposedly $7.4bn was wasted on Display in 2016 – and one that is unlikely to bring any real success. Plus, even in our hypothetical scenario, we’re still at the mercy of user-apathy and the dreaded Ad-fatigue.
For this all too common situation, the report is correct – this type of “anything & anywhere” display advertising campaign has already come to an end – today it is more difficult than ever for marketers to create this type of campaign on the GDN, and other display networks are beginning to follow suit.
Opportunities for Brand Activation
The implicit message of the report – which highlights that the average display network CTR is only 0.35% – is that display adverting doesn’t receive enough clicks, and a low CTR means that a campaign is failing.
On the Google Search Network – which determines intent via a user’s search query – such a low CTR would often (but not always) be cause for alarm. Due to the very nature of display campaigns however, impressions are often very high – after all, there are near unlimited websites where an advert may be chosen to appear. With this in mind, I’d argue that 0.35% is a positive performance for any display campaign.
Don’t forget, there is a myriad of targeting options that allow your display campaign to reach a better defined and more effective audience, thus increasing the likelihood of a user clicking your banner advert or MPU. Google AdWords users can target specific page placements (such as ones you know your key audiences frequently visit), topics that relate to your services or even product keywords.
It’s All About “Where” and “Who”
Let’s use one of Mackerel Media’s own clients as an example: Working in a competitive market space, CTR for our client Display network campaign was 0.21% – lower than the 0.35% identified as being “not enough”. An important factor here however was wherethe adverts appeared on the Google Display network – Placement Targeting had allowed us to identify and target websites which were frequented by internet users who had been identified as “most-likely-to-convert”, whilst Google’s Affinity Placements automatically chose similar websites to further increase our reach whilst still remaining within our target “converting” audience. At the same time, multiple ad-creatives were offered to combat the effects of ad-fatigue on impressions – each with a slightly different USP.
This large-scale, targeted Display Network advertising campaign with multiple pieces of adcopy available across an 18-month period resulted in around 10,000 clicks to our clients landing pages. Our total spend during this campaign was about £8,000, giving an Average £/Click of £0.80. For the same number of clicks on the Search Network, where an extremely competitive market means CPC is higher at around £2.00, 10,000 clicks to site would have cost an eye-watering £20,000 – a massive increase in cost for the same amount of traffic to the same landing pages.
Here we can see that a properly targeted display campaign with engaging creative can allow any company to successfully reach a large number of potential customers with a relatively low CPC. The message here is that getting in front of the right audience will trump large impression numbers any time.
Quality not Quantity
We can see that a properly targeted display campaign with engaging creative can allow any company to successfully reach a large number of potential customers with a relatively low CPC. The message here is that getting in front of the right audience will trump large impression numbers any time.
What the report fails to acknowledge – and something that our clients have been pleased to hear – is the use of audiences, dynamic and remarketing campaigns that take advantage of the Google Display Network’s ability to accurately track users across their web journeys. Even post- GDPR, we can learn a huge amount about a users behaviours, interests and most importantly – their intentions.
With careful analysis of our targeting options and user behaviour, we can make sure that a user – whether they’re brand aware or not – see’s your advert at the right time, and the right place for them to make those key decisions that benefit your business.
Mackerel Media isn’t ready to give up on Display Advertising just yet.
Last week, the digital marketing world descended on Mackerel Media’s hometown of Edinburgh for Turing Fest 2018, and we were there to bring you the latest developments in digital marketing!
Across six digital marketing experts – one clear theme emerged time and time again: Google’s growing fondness of AI lead search results, specifically the use of voice recognition technology and the effect it will have on how we as digital marketers are able to advertise clients in the changing Search Engine results space.
While the scale of voice searches is a bone of contention between digital marketers – even here in the Mackerel office there are differing opinions on how commercially useful they actually are right now– one thing is undeniable: with the growth of ‘smart’ voice assistants such as Apple’s Siri and Amazon’s Alexa, 50% of all searches made by 2020 are expected to be initiated by voice and powered by machine learning.
Why is there such a push towards voice activated searches? Well, according to Cindy Krum, one of Turing Festivals Marketing Track speakers, it’s simple: Google wants to rank more than just websites and present result in a way personalized to your interests.
This makes a lot of sense, and Google has already begun using AI systems to start organizing which videos you see on YouTube, which Apps get returned to you when you do a search and can even allow you to do smart searches through your photographs stored in the cloud.
To allow this to happen, Google has had to change the way it thinks about the information it stores, and how it organizes that information. Whereas previously, Google grouped information together based on the words and phrases a website contained, in a world where not every bit of information a user is searching for has a website, Google has had to change tact – and it’s doing it via AI that you and I are helping to program.
Jes Scholtz – another Turing Fest 2018 speaker – points out that we’re constantly helping to tweak machine learning systems into better understanding what it is we’re looking for, and we may not even realise it. Those thumbs up and thumbs down icons in Netflix? Each time you give a rating you’re helping Nextflix refine its algorithm designed to show you the content most relevant. Same goes with Gmail’s “Mark as Spam” button. None of this is new, but the way in which the data is interpreted is – the massive scale of data gathered plus the application of AI to incorporate many other signals such as the time of day you hit thumbs up, or where you are when you hit ‘Mark as Spam’ leads to a massive improvement in the quality of the algorithms.
The End of the Website as We Know It?
So how does this relate to Voice Search? Well, traditional search engine results pages just aren’t suitable for devices that use voice technology to provide results to a query. Nobody wants to ask Alexa for places to buy a certain item only to be confronted with a list of 20 webpage URL’s read out one… letter… at… a… time…
What voice activated search results need to do is determine the most relevant piece of information for that search and return it right there and then, and they’re doing it through machine learning and combining that with their vast understanding of a users personal history, interests, behaviors & search intent.
We’re already seeing this type of ‘definitive information’ result being surfaced in the form of knowledge panels, direct answers in the SERPs and informational sidebar results. According to Cindy Krum, this type of search result has grown more prominent with mobile and voice results containing a knowledge graph answer climbing from 35% in 2016 to 60% in 2018.
Clearly, Google is putting a lot of emphasis on this type of result. Google’s end game, according to Cindy Krum, is allowing Google to become “the presentation layer of the internet”– soon, we might not need to see a product website to be able to buy, we’ll just do it directly through the Google results.
Good news for voice assisted searches, bad news for websites.
Hey Siri, What Do I Do Next?
The biggest question you might now have is how do we prepare for a world in which Google might not even consider our website before providing just one answer to a voice search?
One of the most interesting speakers at Turing Fest 2018 was Yoast’s very own ‘Mad Scientist’ Jono Alderson – who joined us on stage to explain how brands need to learn some important lessons from the pre-digital marketing era in order to succeed in the future.
Big brands have always relied on ‘story telling’ and relationship building with customers to position themselves at the forefront of their mind when decision making, and that is how brands of the future are going to stand out from the voice-search crowd.
Brands need to start thinking about how future customers may want to interact with their brand months or even years before the searcher even knows they want to buy a product. If Google knows a user has a documented history of interacting with a brands content, social media, pictures or other media, the more likely they are to consider that brand for a user’s personalised search result. The more a user knows and cares for a brand they’re presented with by Siri as a single voice-search result, the more likely they are to explore that search result further.
Jono Alderson calls this ‘brand currency’, and it’s invaluable in a world where AI powered voice search is dominant. If a searcher has no affinity with a brand, they’ll just search again and you may have missed the only opportunity you’ll have for that user to interact with your brand. What’s worse, is that Google could use its machine learning and AI to update its algorithm and push you out of that individual users ‘pool’ of potential search results in the future, having marked you as not of interest to the user.
How Do I Even Appear for Voice Searches?
It’s clear that Google see’s the future of search as hyper-personalised, AI driven results where even a single interaction with a brand can influence how a user is presented information, but we still need to make sure that we’re even eligible to be considered by a voice-search engine in the first place.
Thankfully, Google has already given us a suite of tools and platforms designed to specifically do that: Google My Business, Knowledge Graph results, Google Maps and a whole host of technical tools such as Schema Mark-Up and the Google Natural language API tool.
In a world where ‘on-the-go’ searches are becoming increasingly familiar – and where Google is able to collect vast quantities of data on the brands you interact with and what your feelings towards them are – what becomes the defining factor of whether a search result is presented or not is relevancy. Google now considers these ‘supporting’ pieces of information to be just as important – if not more so – than the content of a website or the products a brand sells.
If I do a voice search for “French restaurants near me”, guess what? The one which has its opening times and address listed on GMB is the one that a voice-assistant is going to return as my answer, because that’s the one I’m going to be more likely to go to. The same goes for e-commerce businesses which provide clear product prices or service providers who produce great knowledgeable content about their specific offerings. Again, Google is cutting out the middleman and giving us just the answers it thinks we want to see.
Do We Really Think This is the Future of Search Marketing?
To put it bluntly, if this is what Google is saying the digital marketing landscape is going to look like in the future, then it’s worth making sure we are prepared for a world where voice-searches overtake traditional text-based queries.
For the most part though, brands which take their digital marketing activities seriously needn’t worry too much. All of the tools Google has indicated may tip the balance of one search result appearing over another – such as Google My Business or Mark-up Schema – have already become part of most really good digital marketing strategies, and are easy to set up should you have forgotten.