Charlie Norledge, Senior Technical SEO SpeciaIist at Impression
Google has released its ‘Speed Report’ in Search Console, which allows the user to see how their site’s speed is performing within Search. With site speed becoming an ever more important factor, this is a highly powerful tool for marketers to be able to improve their organic search presence and when performing a full SEO audit of their site.
You can find this tool underneath the ‘Enhancements’ tab of Search Console when in the relevant property.
Where does this data come from?
First off, it’s good to understand where this data comes from and why it’s useful compared with other speed tools. The data used in this report comes from the Chrome User Experience Report (known as CrUX for short). It is hugely powerful as it’s based on real-time user data from users accessing the website.
This is much stronger than the Page Speed Insights lab data, the tool which is traditionally used when auditing page speed. As the ‘Speed Report’ uses real-time user data, you get a much more accurate picture of your relative site speed.
Previously, getting this level of data from Google would have proved pretty tedious, requiring users to run countless Page Speed Insight tests or set up the API. Given that the latter method required development skills, it was never really an option for the average marketer.
Using the report
When accessing the report you are faced with two tabs:
Mobile – Users visiting from a mobile device
Desktop – Users visiting from a desktop device
One thing to note here is that they don’t seem to be including ‘tablet’ data within this source, as this is separated from the two above categories within the CrUX data.
Each tab has a line graph similar to the other tabs in Search Console, which are categorised into three levels based on a traffic light system:
- Slow (red)
- Moderate (orange)
- Fast (green)
When clicking into a tab you are taken to a second screen. Much like the ‘Coverage’ tab in Search Console, this lets you filter by each speed category and then displays the relevant messages underneath.
Understanding the metrics
So we can see that our site has a large number of URLs in the ‘moderate’ section. Our next step would be to understand what each of these means and try to lay out a plan for changes.
Google has a wide range of metrics to judge site speed. Currently, however, they are only using the two most important in this tool:
First Contentful Paint (FCP) – This is a measurement of the time that elapses from the website loading result up until the moment when you see the first thing load on a page. The point at which you first see something such as a logo, header or text appear is classed as the First Contentful Paint.
First Input Delay (FID) – Measures the time that elapses between a user interacting with your page and the browser accepting that input (i.e. when it begins to respond to the interaction). This metric is important as this is a real-time measurement of when someone is able to actually start using your website.
Both these metrics are bucketed into a set of categories. These currently seem a bit harsh but we know that Google is very ambitious with site speed:
FCP Longer than 3 seconds
FID Longer than 300ms
FCP Longer than 1 second
FID longer than 100ms
FCP Less than 1 second
FID less than 100ms
Now that we understand the metrics, we can start digging in to see how we can get actionable advice out of them.
Analysing the report
Clicking into an issue within a speed category opens up the issue further. Looking down the page, you have a list of example URLs which are separated out into groups based on their performance. This is a super handy feature as it allows you to look for themes and problems within your site.
For example, if we found that a large number of URLs that use the same template are included in a single category, then we would know that this is a great starting point to focus on.
We’ve now successfully identified a number of problem pages in the report and will usually want to start on the worst offenders first:
- Run the URL through Page Speed Insights to get a top-level overview of the issues within here
- Analyse the Page Speed Insights report to look for recommendations on how to improve the sites speed
- Write up these recommendations and send them through to the web development team to enable them to make changes.
This isn’t a one-size-fits-all process but is generally the way to go when trying to improve the site’s speed.
So we’ve passed on the changes to the development team; they’ve made the changes and said we can start testing them. At this point, we would look to run an individual Page Speed Insights test to look for any improvements as the first port of call.
If Page Speed Insights is not reporting the issues back to you any more, then this is the point where we want to jump back into the issues within the Speed Report and press ‘Validate Fix’. Google will go away and reanalyse the URLs to tell you if you’ve been successful in improving the sites speed.
At this point, you can use the graph to track the overall progress of the fixes and hopefully see the red and yellow bars reducing with the green going up over time.
This new report in Google is hugely helpful for all users involved in search marketing, from agencies to clients. Having this within Search Console means that there is now a central place which reports on site speed.
Where people have previously had to use APIs and spreadsheets or expensive monitoring tools, we now have something that can be accessed and understood by everyone.
More importantly, this allows you to track changes over time and report back on progress or errors that might pop up.
How to use data to protect and power your business
By Dave Parker, Group Head of Data Governance, Arrow Global
Employees need to access data to do their jobs. But as data governance professionals, it’s our job to protect it. Therefore, we must perform a fine balancing act to weigh robust data protection against the productivity of workers who need the data to maintain business-as-usual working processes.
Data grows exponentially, and most organisations will admit that they simply don’t know what data they have, where it is, and the controls that exist around it. This creates 2 challenges:
- Burgeoning amounts of unstructured data makes the business increasingly vulnerable from external attackers or internal data breaches.
- Because data is the key to understanding a customer’s wants and needs, if the business can’t identify its data and unlock its value, it’s at a competitive disadvantage.
As a European investor and alternative asset manager, here at Arrow Global we take care of £50bn of assets and own a data estate exceeding 160TB. How we manage our data is key to our success. We understand the difficulties involved in opening up environments to allow people to work productively, while at the same time locking them down to protect our organisation.
When it comes to analytics, I believe that Arrow is highly proficient because we employ a talented team of data scientists. But even for us, the sheer volume of raw and processed data, that resides in both our structured systems and unstructured data repositories, has the potential to put our business at risk.
We know there’s always more that can be done to strengthen our security posture and ensure regulatory and contractual compliance, while at the same time using our data to drive the business forward.
Data protection isn’t just about compliance
For many organisations, data protection has centred on demonstrating compliance with the GDPR. At Arrow, our efforts have gone one step further to include our contractual exposure.
Being a more mature data organisation, we had previously tried to develop an application in-house to manage our data estate. However, with 160TB across the company in production data alone, we simply couldn’t achieve the scale we needed to handle the sheer volume of data. Of course, the volume is just the start – once you know what data you have, you then need to be able to categorise the data and put it into a structure, so the business can analyse it for a specific use case.
We knew we needed to go to market to find an industrial-strength data discovery product to replace our in-house application. By aligning our choice of product to our overall IT and change strategy, meant that ultimately, we ended up with a far better outcome than we’d anticipated.
Position data as both a risk and an asset
Data touches every part of an organisation, so when it came to building a business case for buying-in a data discovery software platform, we approached it in a way that would speak to different people at the same time. We did this by posing the question:
“What do we want to do with data in a way that is GDPR-compliant, contractually-compliant and enables us to better service our clients?”
These are the black and white tests of data governance – to recognise the importance of securing and protecting data. They’re applied in a way that enables us to commoditise data and use it to drive the business forward, by forcing us to consider how we would use the data – for example, creating value-based pricing for our clients.
In aligning the business case to initiatives that were already priorities within the boardroom, we knew that we’d gain the attention of the senior leadership team and it would be easier to get the buy-in and budget we needed. And in the end, everyone wins – we get what we need to protect the data, and the business gets to distil the data’s value to better meet our customers’ expectations.
Get visibility of data at scale
For us, things got really exciting once we were able to see all of our data at scale. We chose Exonar because it allowed us to discover our data in ways that other products couldn’t. And the interface between the user and Exonar meant that everyone – both technical and non-technical users – could understand the technology and the findings it revealed.
When we saw exactly what data was in the estate, where it was and who had access to it, data security became much easier and the risk of data being compromised was dramatically reduced. We can see exactly where the vulnerabilities are and restructure how our data is stored to strengthen security. Then over time, we can use search, workflow and analysis to optimise the infrastructure and continually identify new areas to improve.
Commercialise the data
From a wider-business perspective, once people can see the data, they can start asking “What if…” to query it and distil its value. But it’s more than just the data itself. It’s not uncommon for data relating to the same thing to exist in unconnected systems across the business. For example, customer interactions and incidents or events.
Exonar is capable of joining the dots in disparate data sets. By stitching these data sets together, we can get a better overall view of our customers and use the outcomes to think of new, different or better ways of serving them through enhancing or adapting our offerings.
Why other financial services businesses should also take a smarter approach to data
- By changing the way you approach data, you can use it to protect and power your business and the people you serve.
- By positioning data as both a risk and an asset, you elevate its position to give it priority in the boardroom. Ultimately, it’s data that helps the business make informed strategic decisions about how to strengthen its competitive advantage.
- By gaining visibility of data at scale, you can see exactly what data you have and where it is. This gives the business confidence about the actions needed to ensure it is secured in both a regulatory and contractually compliant way, and that people are doing the right thing with data at all times.
- And joining different data sets provides you with a single view of ‘X’ within your data, no matter where it is. Helping to support your wider-business strategy and priorities, it gives you the information you need to secure a business advantage and generate value.
How business leaders can find the right balance between human and bot when investing in AI
By Andrew White is the ANZ Country Manager of business transformation solutions provider, Signavio
The digital world moves quickly. From keeping up with consumer behaviour patterns, to regulation and compliance, the most successful organisations are always on the cutting-edge of technological developments.
However, when it comes to investing in artificial intelligence (AI), a hard and fast strategy does not guarantee a top spot amongst the league of tech greats. Instead, it pays to take a considered approach to balancing reliance on automated processes with a human touch. Why? Because creative and strategic thinkers are the true propellers of innovation; automation is simply the enabler.
The International Monetary Fund (IMF) developed the ‘Routine Task Intensity’ (RTI) index as a measure of which processes are likely to benefit most from automation. According to this metric, jobs requiring analytical, strategic, communicational and technical skills score low on the RTI index, while simple, repetitive tasks scored highly.
The lesson for business leaders here is simple; your digital investments are just as important as your stake in talent. When deciding which processes to automate, start simple, and remember to value the skills and potential of your people.
Keep customer-centricity at your core
Customer-centricity means that every business decision, dollar spent and new hire is centred on one question: how does this benefit my customer? Investments in AI are no different. To be truly successful, they must have a customer-focused outcome.
Where companies get this wrong is by implementing cost-saving measures or ‘copy and paste’ software that fails to improve the customer experience – often having the adverse effect.
Take the virtual chat-bot, for example; if implemented poorly, it can send your customers into a frustrating and seemingly infinite cycle of dead-ends. The modern consumer is far too digitally savvy for this shortcut, and will quickly move onto the next merchant offering a more seamless customer service experience.
To guarantee your investments are delighting rather than infuriating your customers, it helps to take an outside-in perspective of your business processes, aided by Customer Journey Mapping (CJM).
Before you commit to digital investments, CJM can trace and map each customer touchpoint, signalling pain points or conversion rates throughout their journey. These data-driven insights lead you to the areas that would benefit the most from automation, instead of implementing a broad band-aid solution.
Avoid the ‘set and forget’ method
When investing in enterprise-wide AI, the ‘set and forget’ method rarely works. Real transformation requires an ongoing dedication to refining and improving AI-driven processes, as well as adapting them to the evolving needs of your customers. This is the best way to achieve customer loyalty, by proving that your organisation listens to, and understands its users.
A human perspective is invaluable here, paired with process mining – a method that thrives on finding process inefficiencies – to create a consistent feedback loop of improvement.
During periods of uncertainty, customer loyalty is everything, so aim to protect it at all costs.
The power of your people
The rise of automation can be linked to the corporate world’s obsession with speed and efficiency. However, the psychology behind this goes deeper than being the biggest and fastest producer; it’s also about reallocating resources into attracting and retaining the brilliant minds that drive companies into the future.
When communicating digital change, it’s critical to highlight the valuable impact AI has on augmenting jobs; removing the burden of mundane, repetitive tasks and allowing for more strategic skill-sets to shine through. For lower-skilled workers, invest in upskilling or re-education where possible.
Successfully rolling-out digital transformation plans means that every employee across all tiers of your company understands the value of AI. The starting point here is education to achieve buy-in. Change communications must be accessible, constructive and value-focused, supported by key culture influencers who champion automation within teams.
Enterprise-wide buy-in is an important element of refining and improving digital processes, as cross-functional collaboration can offer valuable insights into common pain points or inefficiencies ripe for automation. Supported by process mining, collaboration provides a holistic view of how each investment will impact other processes. There is no point investing in automation that streamlines one process and makes another more people-centric, so be sure to take a balanced approach to your investments.
Remember, AI is not about creating an army of robot workers; it’s about increasing efficiency and productivity so that an organisation, and its people, can work smarter.
Are you a fighter or a freezer? The 4 “F’s” of Surviving Danger
By Dr.Roger Firestien, Author of Create In a Flash.
The fight, flight, freeze survival response – or FFF for short – is designed to mobilize our brain and body to fight an enemy, run from a tidal wave or freeze to hide from a predator.
FFF is how humans react when they encounter a dangerous situation. It is a primal response that happens instinctively even before we are able to think about the situation we are confronting.
The FFF alarm causes our brain to focus on negative memories, probably to scan them to avoid repeating dangerous situations and negative outcomes. We get tunnel vision as our pupils dilate to increase our focus and long-range vision, but as a result we lose our peripheral vision.
Humans use the FFF response and so do organizations.
When organizations encounter dangerous situations, like, say, trying to survive a global pandemic, they can respond by either fighting the situation, fleeing from the situation, or freezing and waiting for the situation to pass.
I would like to propose a fourth strategy for organizations to deal with a danger like the pandemic. It is the fourth “F.” The farm response. More on that later.
What kind of organization is yours?
The fighter organizations were the ones that fought the idea of a global pandemic or pushed back against the research that reported how serious the virus was. Think of the meat processing plants that didn’t provide proper protective gear or the religious organizations that refused to take a break from large services.
The results were catastrophic for the organizations and deadly to the employees and worshippers.
It is pretty easy to identify the fleeing organizations. You don’t see them anymore. Unfortunately, this is the organization that just doesn’t have the resources or the energy to fight. You will recognize them by the “For Rent” signs in the windows of the buildings they used to occupy.
The organizations that freeze are a little more difficult to identify. They are still around but are frozen by fear. They are the organizations that, although they are in a position to move forward, are too frightened to take a risk or even look at the periphery of their business. Their tunnel vision blinds them to opportunity. The freezers hide and wait for the danger to pass. They are the ones who miss out on possibilities.
For example, if you are in the business of supplying concessions to sporting events, airports and national parks, your business is in deep trouble now. So, what are some ways to keep people buying food and drinks with so many venues closed?
Many national parks are now open and visitors need to eat. How can you sell food while supporting social distancing? Answer: Sell picnic meals to your patrons. And, sell a blanket that commemorates the park that diners can spread out and have lunch while social distancing with their families. Then, they’ll keep the blanket that reminds them of their visit to the park.
Sound like a good idea? It sure does. You can keep your park concession business, allow people to social distance and add to your product line with that commemorative blanket. Did the company implement the idea? Unfortunately, they did not. They froze and missed the opportunity.
However, businesses are finding ways to optimize their organization and capture opportunities. They are the farmers. The farmer organizations study the situation, just like farmers study the weather and the land. They look at the resources available to them and get to work.
Farmer organizations pivot and get creative.
Distillers, who before the pandemic, were making vodka, whiskey, gin and other spirits quickly changed their operation from distilling booze to distilling sanitizer.
Telemedicine, which had limited acceptance before the pandemic, almost immediately became the accepted way to deliver care. Now, the doctor comes to you.
Fitness trainers are conducting their sessions via Zoom or in person outside on sidewalks in front of their gyms so they can social distance.
My favorite ranch, SK Herefords, sells their beef at local farmer’s markets in the Western New York area. This spring when the large packing houses shut down and grocery stores were limiting the amount of beef customers were able to buy, my farmer friends were there at the markets with locally produced farm-raised beef. Sales soared and demand skyrocketed.
Why? The farmers were ready. They used their resources and were not afraid to optimize them in a rapidly changing and volatile environment. Farmers live with constantly changing weather conditions and market prices and are accustomed to rapid change.
To operate with constant change, all of us, like farmers, need to be constantly creative. Phil Keppler, my philosopher farmer friend from SK Herefords says, “Creativity helps you to not look at things as a problem. It’s trying to find the solution – and that’s the exciting thing about it. Things aren’t problems anymore. It’s just difficult situations and you’re trying to find a solution to that situation.”
A good mindset for what our world is experiencing now… it’s a difficult situation and we are creating solutions daily.
Fight, flight, freeze or farm. What kind of organization is yours? And, what can you learn from “the farmers?”
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