A summary of Google Data Studio: Updates from April 2019

A summary of Google Data Studio Updates from April 2019

April was a big month for Google Data Studio (GDS), with Google introducing some significant product updates to this already robust reporting tool.

For those not familiar with GDS, it is a free dashboard-style reporting tool that Google rolled out in June 2016. With Data Studio, users can connect to various data sources to visualize, and share data from a variety of web-based platforms.

GDS supports native integrations with most Google products including Analytics, Google Ads, Search Ads 360 (formerly Doubleclick Search), Google Sheets, YouTube Analytics, and Google BigQuery.

GDS supports connectors that users can purchase to import data from over one hundred third-party sources such as Bing Ads, Amazon Ads, and many others.  

Sample Google Data studio dashboard

Source: Google

1. Google introduces BigQuery BI Engine for integration with GDS

BigQuery is Google’s massive enterprise data warehouse. It enables extremely fast SQL queries by using the same technology that powers Google Search. Per Google,

“Every day, customers upload petabytes of new data into BigQuery, our exabyte-scale, serverless data warehouse, and the volume of data analyzed has grown by over 300 percent in just the last year.”

BigQuery BI Engine stores, analyzes, and finds insights on your data Image Source: Google

Source: Google

2. Enhanced data drill-down capabilities

You can now reveal additional levels of detail in a single chart using GDS’s enhanced data drill down (or drill up) capabilities.

You’ll need to enable this feature in each specific GDS chart and, once enabled, you can drill down from a higher level of detail to a lower one (for example, country to a city). You can also drill up from a lower level of detail to a higher one (for example, city to the country). You must be in “View” mode to drill up or drill down (as opposed to the “Edit” mode).

Here’s an example of drilling-up in a chart that uses Google’s sample data in GDS.

GDS chart showing clicks by month

Source: Google

To drill-up by year, right click on the chart in “View” mode and select “Drill up” as shown below.

GDS chart showing the option to “Drill up” the monthly data to yearly data

Visit the Data Studio Help website for detailed instructions on how to leverage this feature.

3. Improved formatting of tables

GDS now allows for more user-friendly and intuitive table formatting. This includes the ability to distribute columns evenly with just one click (by right-clicking the table), resizing only one column by dragging the column’s divider, and changing the justification of table contents to left, right, or center via the “Style” properties panel in “Edit” mode.

Example of editing, table properties tab in GDS

Source: Google

Detailed instructions on how to access this feature are located here.

4. The ability to hide pages in “View” mode

GDS users can now hide pages in “View” mode by right clicking on the specific page (accessed via the top submenu), clicking on the three vertical dots to the right of the page name, and selecting “Hide page in view mode”. This feature comes in handy when you’ve got pages you don’t want your client (or anyone) to see when presenting the GDS report.

The new “Hide page” feature in GDS

Source: Google

5. Page canvas size enhancements

Users can now customize each page’s size with a new feature that was rolled out on March 21st (we’re sneaking this into the April update because it’s a really neat feature).

Canvas size settings can be accessed from the page menu at the top of the GDS interface. Select Page>Current Page Settings, and then select “Style” from the settings area at the right of the screen. You can then choose your page size from a list of pre-configured sizes or set a custom size of your own.

GDS Page Settings Wizard

Source: Google

6. New Data Studio help community

As GDS adds more features and becomes more complex, it seems only fitting that Google would launch a community help forum for this tool. So, while this isn’t exactly a new feature to GDS itself, it is a new resource for GDS users that will hopefully make navigating GDS easier.

Users can access the GDS Help Community via Google’s support website or selecting “Help Options” from the top menu bar in GDS (indicated by a question mark icon) then click the “Visit Help Forum” link.

The Help menu within GDS

Source: Google

Conclusion

We hope that summarizing the latest GDS enhancements has made it a little easier to digest the many new changes that Google rolled out in April (and March). Remember, you can always get a list of updates, both new and old by visiting Google’s Support website here.

Jacqueline Dooley is the Director of Digital Strategy at CommonMind.

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Google repositions Shopping as ecommerce destination

Google Shopping Google is revamping its Shopping offerings. Image credit: Google

Google is the latest technology giant to invest in new features as it works to build a seamless ecommerce shopping experience across its platforms.

Hoping to capitalize on the hundreds of millions who already rely on Search, Images and YouTube throughout their shopping journeys, Google is redesigning its Shopping experience. In recent months, a number of social platforms have been introducing new ways for consumers to shop online and through mobile, similarly looking to bridge discovery and conversion.

Google Shopping
Search and YouTube have long been part of many online shoppers’ experiences, but Google has not always taken advantage of this reality.

Forty percent of consumers in a recent Criteo survey named YouTube as a go-to discovery channel (see story). Additionally, research from ecommerce platform Nosto found that 79 percent of all mobile shopping sessions come from unpaid sources, such as searches (see story).

Google Shopping Homepage

The new Google Shopping homepage

Now, Google plans to incorporate the best features of its checkout and delivery service Express into the revamped Shopping platform.

Users will be able to purchase products online, in-store or directly through Google. A personalized Shopping homepage also allows consumers to search products, filter based on brands and features and read or view customer reviews.

Leveraging the power of its brand, Google will be offering customer support for select purchases – denoted with a blue Google shopping tag – in an attempt to gain consumer confidence.

Retailers and brands will benefit by having a centralized location for advertisements and transactions.

To increase discovery, Google will expand Showcase Shopping ads to appear on Images and eventually YouTube, reminiscent of shoppable ads from Instagram and Pinterest. According to Google, about 80 percent of traffic from Showcase Shopping ads to retailer sites are from new visitors who have just discovered the brands.

Google first piloted a tool that enabled consumers to purchase an item by clicking directly on an ad in 2015 (see story).

Smart Shopping campaigns will use artificial intelligence to help advertisers where ads will appear to better optimize conversions. Retailers can integrate Shopify or Magento for these initiatives.

Collaborative Shopping campaigns with retailers and brands will also be available.

In one trial application of this type of campaign, beauty group Estée Lauder Companies hoped to increase sales of their branded designer fragrances at one of its top retailer partners in the U.S. During the test, click share on Shopping ads for the brand’s fragrances at the partner retailer increased by 72 percent.

Estee Lauder Karlie Kloss

Estée Lauder is one luxury brand that has experimented with Google Shopping campaigns. Image credit: Estée Lauder

Google Shopping also plans to emphasize click-and-collect services. A recent study from the company showed that 45 percent of global shoppers actively buy online and pick up in-store.

The tech company is currently recruiting retailers into its click-and-collect beta program, which will indicate to shoppers which items are available for local pickup or speedy shipping to stores.

Ecommerce competition
Although Google was not originally established as an ecommerce platform, it has made moves into this space over the years.

This spring, Chinese commerce site JD.com launched a store on U.S.-based shopping site Google Express. Joybuy, the JD.com Google Express store, is one of the retailer’s ongoing missions in an attempt to compete with Alibaba and helps Google compete with Amazon (see story).

Google’s virtual assistant is also furthering its competition with Amazon’s Alexa though a fashion style feature. Google Assistant has launched its own virtual stylist tapping artificial intelligence to determine appropriate fashion advice (see story).

In addition to tangling with Amazon, Google is also facing increased competition from Instagram and Pinterest.

Instagram has been working to streamline the shopping journey for users, allowing them to purchase items from brands directly without leaving its application.

Several luxury brands are among the first to roll out Instagram Checkout, including Dior and Prada. After making itself nearly invaluable for brands with the help of an expansive audience and a suite of advertising tools, the Facebook-owned platform is looking to facilitate an end-to-end purchase journey from discovery to conversion (see story).

Pinterest is continuing to make itself useful to luxury marketers and retailers with more commerce offerings. New features such as full catalogs, personalized shopping recommendations and shopping search aim to bring Pinterest closer to becoming an interactive retail platform (see story).

Beyond call tracking: Measuring sentiment for marketing success

Call analytics can be a touchy subject among some marketing teams, particularly those that have strained relationships with the sales team of their organizations. The tension between the two departments often leaves a gap between our teams that, when bridged, create valuable insights into cross-channel campaign effectiveness and sales results. Thanks to the rise of mobile in e-commerce, digital marketers need to incorporate call analytics into their reporting strategies to tell the whole story of the customer journey.

Go beyond basic call tracking

According to research from Forrester, customers who call tend to buy more, make purchases quicker and remain customers longer than customers from other channels. Customers who initiate an inbound phone call during the customer journey convert an average of 30 percent faster — and spend an average of 28 percent more.

Having a handle on customer sentiment will significantly improve your holistic digital strategy. You know what your customers “do” with your campaigns, but how do they “feel” towards your brand? What happened when they called? What was the salesperson’s impression of the customer’s attitude towards him or her? Understanding the conversational context in which the sales team engages with them can help you better understand these factors and identify signals of intent (or attrition).

Amanda Farley, partner at SS Digital Media, recommends that marketers with the bandwidth listen in to sales calls — with both positive and negative outcomes — to better understand the conversation that drove the result. “There is usually a disconnect between marketing campaigns and the people answering the phone,” she said. “The messaging on the ads might be clear about who a brand is, but it’s really about how phone calls are facilitated.” Establishing this practice, according to Farley, can create valuable learnings for sales and marketing teams and improve the experience for inbound callers.

On smaller teams, dedicating a marketer to listen in on recorded phone calls might not be feasible. However, working with the sales team to provide visibility into your digital campaigns can be a step in the right direction towards understanding the context of inbound calls. Enabling the sales team with a process and the right tools to do this; for example, custom fields can be added to your CRM to capture the information.

More advanced organizations with systems already in place can take advantage of natural language processing features to perform on-call analysis of spoken words and phrases that have been identified as signals of conversion intent.

Create sentiment-informed campaigns

Analytics provide a healthy performance analysis, but they lack the contextual elements of what the customer’s experience with your brand was. Conversation analytics are an example of measurable insights that we can use to determine messaging, identify strengths and weaknesses, assess campaign effectiveness and measure customer sentiment.

Customer sentiment should be considered when you are developing segmentation strategies for email campaigns, designing landing pages and marketing automation. Messaging, for example, can be explicitly written to serve the individual’s needs based on their sentiment rating. If a salesperson indicates a customer has a negative experience, use the event as a trigger to initiate a win-back campaign — before the customer hangs up for good.

It’s all about the relationships

Our relationships with sales can present many challenges for organizations of all sizes — from using siloed platforms to being in different physical locations, it can be difficult to establish rapport with other teams. However, building that relationship is a critical element to optimizing and truly understanding call analytics and customer sentiment. Partnering with sales to clearly define and align goals improves the holistic sales and marketing strategy with the added layer of customer-data to help influence campaigns.  Adding the measurement of customer sentiment to this will provide new opportunities for your teams to share valuable insights, better understand customers and foster better relationships with them.


About The Author

Jennifer Videtta serves as Third Door Media’s Senior Editor, covering topics from email marketing and analytics to CRM and project management. With over a decade of organizational digital marketing experience, she has overseen digital marketing operations for NHL franchises and held roles at tech companies including Salesforce, advising enterprise marketers on maximizing their martech capabilities. Jennifer formerly organized the Inbound Marketing Summit and holds a certificate in Digital Marketing Analytics from MIT Sloan School of Management.

Local SEO for enterprises: Optimizing for the Local 3-Pack

local SEO for enterprises

Fifteen years ago, if a customer needed a hammer, they’d probably get out a phone book, look up “Hardware Store,” choose the hardware store closest to their house, drive there, go inside, and ask the clerk “Do you sell hammers?” If they happened to be out of hammers, the clerk might draw the customer a map to the next closest hardware store and the process would start all over again.

Now that most of us are walking around with tiny computers in our pockets, much preliminary research is taken care of in a matter of seconds via mobile search. If a customer needs a hammer, they simply google “Hardware Store,” and three nearby results pop up instantly.

Chances are, that customer will then be done searching. Any stores that don’t pop up will not get their business. Securing one of those top three spots in a Google search is an essential part of nailing local SEO.

This is especially significant for enterprise brands to be able to compete at the local level.

With hundreds or thousands of locations, it can be overwhelming to ensure data accuracy across the board. Partnering with a local search solution to maintain and monitor listings across all locations is a great way boost online presence and drive foot traffic.

Content produced in collaboration with Rio SEO.

If you’re just looking at website analytics, you could be missing out

Most consumers are researching businesses on mobile before they make decisions about which locations to visit in person. In fact, according to RetailDive, two-thirds of consumers conduct research online before even stepping foot in a store.

how often do consumers research products online before shopping for them in store

And while most businesses know that they should pay close attention to their website analytics, many are forgetting that preliminary online research also includes local listings. Research shows that while 75% of consumers use a business’s website as part of their decision-making process, an even greater number, 87%, also consider local listings.

Going beyond website analytics to understand how your ranking in local search results affects in-person visits to your businesses is key to understanding how to use local SEO for real-life traffic.

A study by Sparktoro found that in 62% of local mobile searches, the customer doesn’t click search results to visit a business’s webpage. Further, Rio SEO found in recent data from enterprise clients that just 1 in 60 Map Pack views resulted in a click-through to a website.

62% of Google mobile searches resulted in no-click search

Rather, they get the information they need from the local listings that come up at the top of their search results. For many businesses, this means that if you’re not at the top, you might as well be invisible.

Optimizing for the Local 3-Pack

Mobile users are most likely using Google to search for local businesses, and those searches are generally limited to what’s called the “Local 3-Pack.”

In Google’s search engine results, the Local 3-Pack is a colorful, prominent map listing that presents to consumers the three businesses Google considers most relevant to the query and searcher’s location (refer again to the image above).

Coming in as one of those first three spots is critical for making sure local searchers can find your business.

How can your business break the top three?

The key to breaking into that coveted Local 3-Pack is making sure your corporate and local site’s SEO are in order. And the best way to get your SEO in order is to optimize your Google My Business (GMB) page to give Google’s algorithm everything it needs to find your company in local searches.

Here are a few tips for optimizing your GMB:

  • Provide critical business information, such as business name and category, location, and/or service area, hours of operation (with special hours or holidays), phone number, website URL, business description, and more
  • Give advanced information, like store code, labels, or Google Ads location extension phone
  • Encourage customers to leave reviews, which you can respond to within the GMB dashboard
  • Upload photos, which appear in both the listing and Google Images

The right tools can boost your online presence

If you’re worried that your business isn’t coming up at the top of those critical mobile local searches, changing your SEO strategy to adopt the right tools could be your best bet for getting seen by mobile users. Join SEW, ClickZ, and Rio SEO in our webinar to learn more about how to choose the right SEO toolkits for boosting your local business into those crucial top three search results–and keeping it there.

What to know more about mastering local SEO for enterprises?

The brands killing it in local SEO now are freeing their corporate teams and local managers of complicated workarounds and messy, muddled local data.

In this webinar, you’ll explore the benefits of taking a toolkit approach to enterprise local search and discover the key tools that must be a part of your local marketing arsenal. Join us and learn how to:

  • leverage location-based martech effectively to optimize your brand’s online presence,
  • improve customer experience in decision-making moments,
  • track and measure location metrics that matter and stop wasting time on the wrong data,
  • gain and retain search engine trust in your brand and each of its locations to improve local rankings and visibility,
  • empower local managers to support the brand’s marketing efforts without losing control

It’s time to stop throwing disparate, disconnected solutions that only accomplish one or two things into your stack. Isn’t it time your brand’s local marketing efforts worked together to achieve the results your local stores and customers crave?

Join us for our webinar, “Scrap Your Stack: High-Performance Local SEO for Enterprise Brands, Simplified” to learn how.    

Related reading

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How AI is powering real-time SEO research Insights and optimization

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Train with Google and Microsoft, only at SMX Advanced

For over a decade, SMX® Advanced has proudly delivered an elite, unbiased, vendor-agnostic editorial program to thousands of search marketers from around the world.

But we also know how important it is to learn first-hand from the search engines you trust with your rankings and advertising dollars.

That’s why we’re thrilled to invite you to Seattle, June 3-5, to train directly with Google and Microsoft. Only SMX Advanced brings these two powerhouses together in one place. Check out what’s in store:

Exclusive Keynotes & Sessions

The SEM track will kick off with an in-depth keynote conversation about the future of search marketing and advice for staying competitive in an increasingly automated landscape — featuring Search Engine Land’s editor-in-chief, Ginny Marvin, Nic Darveau-Garneau, Chief Search Evangelist for Google, Vaishali De, Partner Group Program Manager for Microsoft Advertising Engineering, and Lynne Kjolso, VP, Global Search Sales & Support for Microsoft Search Advertising.

Then, it’s time for insightful, tactic-rich SEO and SEM sessions, including…

  • Google & Bing Talk Spam & Penalties: Want a behind-the-scenes view of how Google and Bing determine what’s good and what’s bad? Join Fili Wiese, former Google Search Quality team member, and Frédéric Dubut, who leads the anti-spam team at Microsoft, for a candid conversation on how both engines are fighting spam and handling manual penalties.
  • What’s New With Schema & Structured Data: Cata Milos, Senior Program Manager at Manager, will join Max Prin, Head of Technical SEO at Merkle, for a look at advanced structured data tactics that ensure your sites rank well by making content accessible to search engines. You’ll also get advice for how to future-proof content to avoid getting left out of the voice search conversation.
  • The Evolution Of Branding: Brand To Demand: Helen Provost, Google, Account Manager, will share brand-new insights why branding is more important than ever, quantify the value of digital brand advertising in the path to purchase, and provide actionable guidance on how to create a branding media plan on a limited budget using machine learning and automation for scale.

Learn With Google

Join the Google Ads team Tuesday, June 4 for full-length sessions exploring some of the most crucial aspects of successful account and campaign management. Check out some of the sessions in store:

  • Managing Large Accounts With Google Ads Power Tools
  • Understanding Your Creative Potential In Google Ads
  • Delivering Fast, Assistive Experiences To Supercharge Your Google Ads Performance

Microsoft Networking & Solutions

You’ll catch Microsoft Advertising (formerly Bing Ads) in a few different places:

  • Meet up Monday evening, June 3 for a special Microsoft-hosted networking event about inclusion and diversity in the workplace.
  • Attend the 2019 Search Engine Land Awards Ceremony & Afterparty on Tuesday evening, June 4, sponsored by Microsoft Advertising, for a fantastic evening celebrating the search community.
  • Come by the Solutions Track on Wednesday, June 5 for two exciting training sessions with the Microsoft Advertising team.

Choose Your Ideal Pass

Book before Monday, June 3 to save up to $300 off on-site rates! Pick the pass that suits your goals and budget and register now.

  • All Access: All sessions, keynotes, networking, and amenities.
  • All Access + Workshop Combo (best value!): The complete SMX experience, plus your choice of an immersive, full-day workshop.
  • Networking & Search Engine Land Awards: Full access to the Expo Hall and networking events, plus sponsored sessions (including Learn with Google and the Microsoft Advertising sessions mentioned above!), downloadable speaker presentations, and more.

Register now!

See you in Seattle!


Opinions expressed in this article are those of the guest author and not necessarily Marketing Land. Staff authors are listed here.


About The Author

Marketing Land is a daily publication covering digital marketing industry news, trends, strategies and tactics for digital marketers. Special content features, site announcements and occasional sponsor messages are posted by Marketing Land.

How AI is powering real-time SEO research: Insights and optimization

How AI is powering real-time SEO research Insights and optimization

The shift to real-time data analysis and optimization has supercharged marketing in a way that frankly should have SEOs on the edge of their seats.

As organizations struggle to make sense of and activate their data, SEOs can combine their deep experience with massive amounts of data to make smarter business decisions and have an edge. Things are about to get real, very real.

Automation in marketing no doubt was (and still is) a game-changer for consultancies, agencies, and clients. Straight-up automation brought efficiency and order to the workflow. Now, you can expand your capabilities even further with the AI layer.

According to a study by the Economist, 75% of executives say AI will be “actively implemented” in companies within the next three years. Business leaders aren’t feeling so great about how it’s being implemented, though. Although 92% of C-level executives with some of the world’s biggest brands recently reported that the pace of their big data and AI investments are accelerating, 77% also said that business adoption of AI initiatives is a major challenge.

Where’s the disconnect? It’s telling that 93% of those interviewed identified people and process as obstacles. In this post, we’re going to explore the different ways SEOs can lead the charge in AI-powered insights and optimizations. We are entering a new era of real-time SEO and insights are being powered by machine learning and AI.

Understanding the opportunities in evolving SERPs

Google has gone all-in on AI, and it’s driving increasingly complex yet engaging and functional enhanced search results. With RankBrain, Google uses machine learning to analyze the context of content and serve more accurate organic search, image, and video results.

How does it work? Roger Rogerson dug up a succinct explanation in a recent column:

“… RankBrain uses artificial intelligence to embed vast amounts of written language into mathematical entities — called vectors — that the computer can understand. If RankBrain sees a word or phrase it isn’t familiar with, the machine can make a guess as to what words or phrases might have a similar meaning and filter the result accordingly, making it more effective at handling never-before-seen search queries. …”

– Greg Corrado, from Bloomberg’s: Google turning its lucrative web search over to AI machines

RankBrain isn’t just using natural language processing (NL) to better understand the intent behind each query. It’s converting words to data, plotting it on a chart, and examining the relationships that exist between terms. What it “learns” then drives rankings and different types of results in the blink of an eye for each new query.

How can you use this to your advantage?

  • Content optimization is more important than ever. The bar for quality is high, and Google needs to be able to see how each piece of content, whether text, image, or video is the best answer for specific types of queries. But optimizing content once, before it’s published, isn’t going to cut it anymore. SEOs need AI-powered automation to audit site content, resolve errors, and suggest new optimizations on an ongoing basis, based on real-time data, and consumer behaviors.
  • Automate competitive research and find opportunities to increase your share of voice with smart monitoring that identifies content that is outranking yours. See exactly where you need to build out content and what it needs to include in order to regain your rankings.
  • Stay ahead of SERP changes with AI-powered analysis. By the time you manually evaluate the SERPs that Google returns for even a few keyword phrases, you’re making optimizations based on old data. Get ahead of the game with real-time SEO insights that tell you exactly what you need to do to take over competitors on the terms that offer your greatest opportunities.

Making smarter optimizations with AI-powered insights

A typical SEO practitioner uses six separate tools cobbled together and spends four hours a day on research, reporting, and analysis. This is no longer necessary, though. BrightEdge Instant for example (disclosure, my company’s innovation) provides marketers with real-time recommendations and data so marketers take action to optimize content, all within one unified platform.

Screenshot of tracking page rankings using BrightEdge Instant's AI

Voice-enabled technologies, now used in more than 20% of mobile queries, are one opportunity you can’t afford to overlook. Amazon Alexa, Google Assistant, and other digital assistants rely on AI to converse with consumers and respond to their needs. You need to understand the conversational journey and the next three follow-up questions someone is going to ask but are probably wading through a list of keywords from Keyword Planner. You’re manually looking for conversational searches or turning to a point solution with display-only capabilities (without search volume) that is disconnected from your SEO workflow.

SEOs need to be able to analyze when and why people use voice search in order to provide the types of answers digital assistants can use. Structured data is a great way to achieve this, but right now more than 80% of the world’s data is unstructured (SEW offers a guide to help you get started here).

Keyword research is another opportunity to save time and improve performance by working AI into your workflow. Given the large proportion of queries that Google says have local intent, you need to understand the location for every part of your business worldwide. For businesses with hundreds of thousands of locations worldwide, it’s impossible to accurately research and report on keyword performance in each of your key markets. Using an AI-powered tool here allows you to scale research across thousands of locations and dozens of languages, all on one platform. You can make smart, high impact decisions that give you the competitive edge quickly and seamlessly, and this is without a mess of Excel sheets.

How can you use this to your advantage?

  • Make voice a reality by taking a data-driven, AI-enabled approach to understanding the conversations happening in your space. Doing so will help you identify top-of-the-funnel, awareness-generating question keywords, analyze the keyword landscape, and understand which portion of your keywords are quick answers, and which percentage you are winning.
  • Look for a tool that uses the power of AI to curate the most relevant topics and keywords to go after. Automation can exponentially amplify your efforts to evaluate a seed list, but it’s the AI layer that supercharges it by understanding intent, producing and evaluating a massive list of related terms in real-time, identifying current trends, and helping you to prioritize your efforts.
  • Don’t forget about video! YouTube is the second largest search engine in the world and consumers increasingly look there as part of their shopping process (especially in the early stages of their buying journey). Measuring video performance and rankings immediately and on an ongoing basis enables you to respond to real-time insights, and make optimizations to improve performance in the critical post-publication period.

SEOs cannot afford to be late adopters in the AI arena and laggards in relation to real-time SEO. Today, you need to be able to anticipate searcher needs and have technology in place to trigger the optimizations that will return your content as the top answer for relevant queries. Want to learn more? Make sure you caught my last column, Five ways SEOs can utilize data with insights, automation, and personalization.

Jim Yu is the founder and CEO of leading enterprise SEO and content performance platform BrightEdge. He can be found on Twitter .

Related reading

The evolution of SEO and the shift from point solutions to platform

On-site analytics tactics to adopt now Heatmaps, intent analysis, and more

The SEO metrics that really matter for your business

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5 steps to move closer to one-to-one personalization

“One-to-one marketing” continues to be one of the biggest buzzwords of 2019. At MarTech West last month, it felt like everyone at the conference discussed how their teams are working to foster personalized connections with customers through technology stacks. It also was refreshing to hear that I’m not alone and no one has achieved truly one-to-one marketing – at least not yet.

Customer-centric brands constantly adapt and improve processes to cater to its customers more effectively. Here are five steps such brands take to get closer to one-to-one personalization.

Spotless data

It doesn’t matter how engaging your content is if you’re not making it into subscribers’ inboxes. To ensure you’re maximizing the potential of all its email campaigns, practice good data hygiene. This involves removing inactive subscribers, fake accounts and duplicate email addresses regularly. I’ve seen these practices allow retailers to see a 60% lower average bounce rate during the busy holiday season which translates to more conversions.

Good deliverability reputation with ISPs

It’s imperative that brands follow email best practices to establish and maintain a good relationship with internet service providers like Gmail, Yahoo and others. A poor reputation with any of the ISPs puts a barrier between your brand’s emails and their subscribers’ inboxes, which translates into lower conversions and revenue.

That’s why it is essential to monitor your reputation. We’re continually reviewing and adjusting targeting, frequency and deployment strategies to stay best friends with the ISPs. Last year alone these changes resulted in a 100% inboxing rate, an 18% increase in the average open rate and a 48% reduction in the average bounce rate with Gmail for one retailer I spoke with. These improvements were hugely impactful considering that Gmail continues to gain market share of subscribers. Not only did these changes isolate the less engaged audience, but it also reduced the bolstered engagement metrics for that segment.

User-friendly email templates

We marketers know that effective emails use responsive design and offer dynamic content, yet the biggest reason not all emails leverage these capabilities is the significant amount of resources required to create them. From idea generation to deployment, creating a new email campaign can take two weeks or more if marketers don’t have a streamlined process and the right tools in place. That’s why having a tool to easily customize content without involving a developer for coding support makes a significant impact in email.

With such tools, marketing teams can build responsive, dynamic campaigns without coding by using drag-and-drop functionality. In effect, you’ll see production time cut in half, which allows your team to create more relevant content for more of your audience.

Dynamic content blocks

Dynamic content blocks cater to each subscriber segment, and enabling more of these for offers or smaller items like the preheader can create greater efficiencies. In retail, there are a lot of constantly moving pieces from inventory to offers that can change at a moment’s notice. Building automated pieces of content within your templates ensures when these last-minute changes come, the creative teams don’t have to lift a finger. This dramatically reduces production and enables the creative teams to focus their time on the real design work.

The power of email triggers

A robust trigger program is the easiest way to implement personalization for email programs. The payoff is the delivery of relevant content in a timely manner that results in open rates that far exceed the average promotional message – over 100% greater. Look at your data to figure out unique ways subscribers’ activity, purchase history, browser behavior, preference data or interests can boost your program. These triggers provide a huge jump in revenue with much less maintenance in content creation and they provided an added benefit of a testing lab for creative ideas.

As marketers, we know that the best way to communicate with customers, build awareness and ultimately drive revenue is to offer individualized content. We know we need to send them the right content at the right time. While this is achievable for small companies with only a few loyal customers, scaling that level of individualized communication to a larger audience or customer base is currently impossible. But we’re getting closer every day, and by following the steps laid out here, marketers may be able to achieve true one-to-one personalization sooner than we think.


Opinions expressed in this article are those of the guest author and not necessarily Marketing Land. Staff authors are listed here.


About The Author

Kyle Henderick is Senior Director of Client Services at Yes Marketing, a single solution provider who delivers relevant communications across all channels for mid and enterprise-sized companies. Kyle is responsible for helping major clients implement new programs, processes, and data-driven strategies to create campaigns that truly drive revenue. With a passion for technology implementation and a background in database, email, web, and social media marketing, Kyle turns his real-world experience into executable tactics to help clients see an incremental lift in revenue, subscriber engagement, and customer retention. A lover of all things Chicago, when Kyle is not reading up on latest marketing practices or focusing on improving client programs, he can be found enjoying the city’s great restaurants or wearing his heart on his sleeve while rooting for all Chicago-based sports teams. A curious individual willing to try any and every food that does not include raw onions, he is always looking for exciting dining options and new adventures around the city.

The evolution of SEO and the shift from point solutions to platform

The evolution of SEO and the shift from point solutions to platform

In the practice of SEO, as in life, the only constant is “change.” Even the pace of change in SEO is changing.

It’s accelerating as results grow ever richer and more personalized, search engines more numerous and specialized, and searchers increasingly expect to be able to summon answers whenever, wherever and however they like.

Though it may not always feel like it, none of this happened overnight. If we look at some of the key milestones in the evolution of search, we can get insight into how we got to where we are now. Let’s skip ahead a bit and start with Google in the early 2000s.

  • The early 2000s: Google takes on black hat SEO methods by de-legitimizing and even penalizing unethical tactics like keyword stuffing and questionable link-building practices. At the same time, we see the very beginnings of localized search results.
  • The mid to late 2000s: Google begins to refine the search experience with universal search, which incorporates results from sources like websites, social media, images, video, and news in its SERPs. Google Suggest launches, which offers related search phrases in the search results. Microsoft launches Bing.
  • The early 2010s: Google breaks SEO briefly with algorithm changes that emphasize quality, user-focused content. Any vestigial gaming of the system is dead. Optimization is very much alive, but the gap narrows between content that Google’s algorithm sees as high quality and content that humans see as high quality. Localization gets a boost, and we begin to see zero-click searches.
  • The mid-2000s to today: Search explodes. Google begins to demote content that is not mobile-friendly, then rolls out mobile-first indexing. YouTube becomes the second largest search engine behind Google. Amazon ranks first for product searches. We enter the frontier of voice search.
  • Today and beyond: SEO has evolved and has proven out as a key business performance driver. Meanwhile, search is ubiquitous, increasingly vertical, and enormously topical.

SEO now

SEO is still very much about maximizing the effectiveness of organic content to drive traffic and demand, but its role in the organization has expanded and so has the workload along with it.

How SEO is used in the modern enterprise

SEO methods and insights are supporting strategy and decision making beyond website content. The broader use of SEO intelligence is a natural progression in the evolution of search. After all, SEO research can reveal a lot about consumer intent. For content, paid search, social media, and email marketers, knowing what the target audience is looking for makes it easier to tailor the message, product or service to them.

A 2018 survey of UK marketers reinforces the perception of SEO as an essential (88% of respondents) and effective (79% of respondents) part of the marketing imperative, but the survey also highlights the difficulty marketers and SEO specialists have when it comes to keeping up with the pace of change in search. More than two-thirds of respondents (70%) incorrectly identified a bogus Google algorithm change as being real. (Source: Zazzle Media)

How SEO is executed in the modern enterprise

For most search marketers, the daily work of SEO is a significant undertaking. Add to that the fact that 75% of marketers are regularly using at least four different tools or data sources to execute their SEO strategy.

BrightEdge's stats on SEO's tool usage

SEO in 2019 and beyond: SEO goes single-platform and real-time

To date, SEO has been largely a reactive business function. In 2019, look for search to become not only reactive but predictive. Two shifts will drive this:

  1. A shift from point solutions to platform SEO
  2. The enablement of true, real-time SEO

The shift from point solutions to platform SEO

The time-consuming and somewhat disjointed nature of SEO execution for most search marketers is not surprising given the rapid pace of change in search. It is also not sustainable over the long term. Search is only going to evolve more quickly. Keeping up on all the changes, mastering new and additional tools to manage SEO, and finding the time to incorporate more and more diverse data sources into an already overtaxed SEO routine is prohibitive.

To see where the practice of SEO is headed, we can look at how leading brands do it now. BrightEdge Instant (disclosure, customer) empowers the next generation of search marketers to use real-time insights and take action to optimize content all within one unified platform, so they can effectively:

  1. Speed up the busy work of SEO by
    • Streamlining or automating repetitive SEO tasks
    • Integrating disparate data sources and adding immense value by, effectively, crowdsourcing otherwise unavailable data
  2. Turn data into insight by employing AI and deep learning to organize data and generate meaningful recommendations
  3. Keep up with major and minor changes in search for their users and innovate accordingly

For SEO to be effective it needs to be efficient. Moving from managing multiple SEO point solutions, sourcing data from numerous sources in numerous formats, and analyzing data in Excel to single-platform SEO solution creates efficiency that marketers can no longer ignore.

The enablement of true, real-time SEO

What we know today as real-time SEO is, in actuality, the same, rearward-looking SEO with a shortened timeframe. SEO evolution, like change, is constant and the breakthrough for SEO has begun with live, real-time data that right-now drives keyword and ranking research, and produces in-the-moment recommendations.

Marketers will be able to see trends as they are developing rather than once they’re established. This level of insight will enable them to predictively produce or optimize content to capitalize on the interest that’s coming. This ability to displace competitors pre-emptively will change the face of search forever.

Andy Betts is a chief marketer, consultant, and digital hybrid with more than 20 years of experience in digital, technology and marketing working across London, Europe, New York, and San Francisco. He can be found on twitter @andybetts1.

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Chatbots could drive $112 billion in retail sales by 2023

As technology improves with natural language processing and AI, chatbots will take away revenue from other marketing channels, a recent study examining retail brands by Juniper Networks claims. In fact, retail sales from chatbots will nearly double annually, reaching $112 billion by 2023, the study says. And retailers will see an increase in savings, thanks to the automation of customer sales and support processes.

“Retailers can expect to cut costs by $439 billion a year in 2023, up from $7 billion this year, as AI-powered chatbots get more sophisticated at responding to customers,” Juniper said.

The study also suggests that as retail brands shift to chatbot technology, more consumers will feel comfortable interacting with chatbots to resolve customer service issues and make direct purchases. A consumer-facing survey by marketing firm Uberall indicates that 20% of consumers surveyed are “very interested” in chatbot experiences from brands. 80% indicated that they have had “generally positive” interactions with chatbots.

Why we should care

As martech advances, consumers will also adapt their online behaviors and their expectations for digital interactions will change. According to the report, chatbots are positioned for rapid growth in the retail industry; we need to better understand how that will impact our digital marketing efforts and attribution methodologies going forward.

For digital marketers who haven’t yet experimented with chatbots, it is time to consider the best solution for your brand. Digital marketing is experience-driven; creating positive interactions with your customers with chatbots will be crucial to customer retention and driving sales.


About The Author

Jennifer Videtta serves as Third Door Media’s Senior Editor, covering topics from email marketing and analytics to CRM and project management. With over a decade of organizational digital marketing experience, she has overseen digital marketing operations for NHL franchises and held roles at tech companies including Salesforce, advising enterprise marketers on maximizing their martech capabilities. Jennifer formerly organized the Inbound Marketing Summit and holds a certificate in Digital Marketing Analytics from MIT Sloan School of Management.

Study: How to use domain authority for digital PR and content marketing

Study: How to use domain authority for digital PR and content marketing

For the SEO community, Domain Authority is a contentious metric.

Domain Authority (DA) is defined by Moz as

“A search engine ranking score developed by Moz that predicts how well a website will rank on search engine result pages (SERPs). A Domain Authority score ranges from one to 100, with higher scores corresponding to a greater ability to rank.”

Some people say that this score does more harm than good because it distracts digital marketers from what matters. Improving your DA doesn’t mean you’re improving your rankings. Others tend to find it useful on its own as a quick way to determine the quality or trustworthiness of a site.

Here’s what I say, from a digital PR perspective, domain authority is valuable when you’re using it to compare sites relative to one another. In fact, DA provides value for us PRs and is incredibly useful to our work.

Think of it this way. There are more websites than ever before, about 1.5 billion to be exact and so in some ways, this means there is more opportunity for marketers to get their content out in the world and in front of new audiences. While most people think that journalism is dying out, an enlightening post on Recode by Rani Molla explains that “while job postings for journalists are off more than 10 percent since 2004, jobs broadly related to content have almost quadrupled.” 

In other words, if outreach is executed well, there are more places than ever to get your content featured and lead to driving traffic, broadening your audience, and improving your search ranking.

But even the most skilled PR teams can’t reach out to 1.5 billion sites. The knowledgeable ones know that you really only need one successful placement to get your content to spread like wildfire all over the Internet, earning links and gaining exposure for your brand in the process. With so many options out there, how do PR professionals know which sites to spend time targeting?

That’s where DA comes into play. When it comes to link building, content marketers know that not all backlinks and brand mentions are created equally. The value of a link or mention varies depending on the referring website. Moz’s DA score is a way for us PRs to quickly and easily assess the quality of the websites we target for our client’s content marketing campaigns.

Our team tends to bucket online publishers, blogs, and websites into three categories:

  • Top-tier
  • Mid-tier
  • Low-tier

Keep in mind, particularly with the new Moz update, when deciding who to pitch, you must take a holistic approach. While domain authority is an excellent way to quickly assess the quality of a website, a site’s DA can change at any minute due to a multitude of factors, so make sure you are also taking into account your goals, the site’s audience, social following, and reputation as well as Moz DA score. In response to a Marketing Land tweet about the new DA, Stevie Howard says it perfectly.

Screenshot of Stevie Howard's tweet in response to a Marketing Land tweet about the new DA

Top-tier sites

What constitutes a top-tier website? Can a top-tier site have a low DA? Potentially, but it’s uncommon.

When you look at the holy grail of media coverage, DA tends to align perfectly. Take, for example, the following seven major publishers that any brand or business would love to earn coverage on. The DA scores for all of these sites fall above 90. These sites all have an extremely large audience, both on-site and on social media.

List of top tier sites having a DA score of 90 and above

Our team at Fractl has an innate sense of the online publisher landscape, and the largest and most well-known content publishers out there all tend to have a domain authority above 90. This is what we consider to be the “top-tier”.

These publishers are difficult to place with because of their large audience, social following, and reputation, so for the best chance at earning organic press mentions on these sites, offer them authoritative, unique, exclusive, and newsworthy content.

Mid-tier sites

Mid-tier sites may not be the holy grail of news publishers, but they’re our bread and butter. This is where the majority of placements tend to happen. These publishers hit a sweet spot for digital PR pros—they’re not as sought-after as Buzzfeed and don’t deeply scrutinize pitches the way The New York Times does, but they have large audiences and tend to be much more responsive to content pitches.

I tend to categorize the mid-tier as publishers that fall within a DA of 66 to 89. Here are some examples of publishers that may be considered mid-tier.

List of mid-tier publishers that have a DA of 66 to 89

Low-tier sites

Don’t underestimate a low-tier site simply because of its domain authority. For example, it wasn’t long ago that personal finance website, Money-ish, had a DA of 1. Launched in 2017, it was first its own website before being absorbed as part of the larger MarketWatch domain. MarketWatch has a DA of 93, with social engagement as high as 12,294,777 in the last year. If you ignored Money-ish because of its DA when they first started, you would have missed out on a chance to get your content featured on MarketWatch as well as build relationships with writers that are now under the MarketWatch umbrella. There are all types of content, and most marketers can figure out which projects have “legs” and which have less appeal. These lower-tier sites are often very niche and the perfect home for content that is aimed towards smaller, more precise audiences. These lower-tier sites also tend to have a high engagement where it matters, your target audience. Consider the site’s community. Does this site have a ton of email subscribers or high comment engagement? Are they killing it on Instagram or on another social network? You never know which site will become the next Money-ish, either!

List of low-tier sites with DA below 60 or 65

Pitching differences for each tier

There are plenty of sites that fall within different ranges of domain authority that would be an excellent fit for your content. It all just depends on your goals. In Fractl’s latest internal study, we were able to identify trends in the way journalists respond to PR professionals, based on the DA of the site they write for.

Graph on how journalists respond to PRs based on their sites DA score

Observations

  • Feedback from writers working for sites with a DA lower than 89 was most likely to be complimentary of the content campaigns we pitched them.
  • The verbiage of their responses was also more positive on average than those from journalists working for publishers with a DA of 90 or above.

An example of the feedback we received that would be labeled as complimentary is,

“Thanks for sending this over, it fits perfectly with our audience. I scheduled a post on this study to go up tomorrow.”- Contributor, Matador Network (DA: 82)

Those of us that have been pitching mainstream publishers for a while know from experience that it’s often easier to place with websites that tend to fall in the mid to low-tier buckets. Writers at these publishers are usually open to email pitches and open to writing about outside content because such websites have less stringent editorial guidelines.

Conversely, publishers that fall into our definition of “high-tier” were less positive on average than writers working for publishers with a DA less than 90. On average, the higher the DA, the less positive the language becomes.

Why might that be? It makes perfect sense that publishers like The New York Times, CNN, TIME, and The Washington Post would be less positive. They’re likely receiving hundreds of PR pitches a day because of their popularity. If they do respond to a pitch, they want to ensure that they’re inquiring about content that would eventually meet their editorial guidelines, should they decide to cover it.

According to our study, when journalists at publishers with a DA of 90 or above do respond, they’re more likely to be asking about the methodology or source of the content.

An example of this feedback is from a staff writer at CNN.

“Thanks for sending along. I’m interested to know more about the methodology of the study.”

A response like this isn’t necessarily bad, in fact, it’s quite good. If a journalist is taking time to ask you more about the details of the content you pitched, it’s a good indication that the writer is hoping to cover it, they just need more information to ensure that any data-driven content is methodologically-sound.

Conclusion

Domain authority will continue to remain a controversial metric for SEOs, but for those of us working in digital PR, the metric provides a lot of value. Our study found a link between the DA of a site and the type of responses we received from writers at these publishers. High DA sites were less positive on average and requested research back methodologies more than lower-tier sites. Knowing the DA of a site allows you to:

  • Improve your list building process and increase outreach efficacy
  • Customize each outreach email you send to publishers of varying DAs
  • Anticipate the level of editorial scrutiny you’re up against in terms of content types and research methodologies
  • Optimize content you create to fit the needs of your target publisher
  • Predict the outcome of a content campaign depending on where you placed the “exclusive”

Remember, just because a site has a high DA, it doesn’t mean it’s necessarily a good fit for your content. Always be sure to take a holistic approach to your list building process. Keep in mind the social engagement of the site, the topics they cover, who their audience is, their editorial guidelines, and most importantly, the goals of you or your client before reaching out to any publisher solely based on domain authority.

Domenica is a Brand Relationship Manager at Fractl. She can be found on Twitter .

Related reading

On-site analytics tactics to adopt now Heatmaps, intent analysis, and more

How AI is powering real-time SEO research Insights and optimization

The SEO metrics that really matter for your business

How progressive web apps positively impact your SEO