Microsoft Bing adds automobile and car search features

Microsoft Bing now has new car and automobile search features to let you find your next car, the company announced on its blog. You can search for used cars on Bing, you can search for specific car makes and models and then Bing will provide you search box that you can filter to find the car you are looking for.

What it looks like. Here are some screenshots of the search box in Microsoft Bing for searches on Kia K5 and SUV for sale:

Also, there are links to the MSN Autos marketplace in the knowledge panels for these car related searches under the “learn more” and “shop used cars” right above the car specifications.

Local. You can also browse local car inventory on Bing Local and Bing Maps. Microsoft said you “can now quickly and easily find vehicles for sale on Bing.com’s new Local Auto Dealership Storefront or using the browse-by-map feature.”

List your car. Microsoft allows you to list your car on MSN autos over here, where you fill out a listing form that will post your vehicle ready for sale. “In just a few simple steps, sellers enter the basics about the car for sale, upload photos, add a detailed description and finish the listing with any extra info that might make the car appealing to buyers. Your car is now for sale,” Microsoft said.

Why we care. Buying a car these days, in this market, is incredibly hard – there is very little inventory, what is available is very expensive and hard to get your hands on. Maybe this will make it easier for you to find the car you are looking for and also make it easier to sell your used car faster.

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Jason February 4, 2022 0 Comments

How marketers can best optimize their Google Shopping ads

The digital commerce space is growing at a rapid pace and marketers across all industries are looking for the most effective ways to enhance their shopping campaigns. Many naturally turn to Google Shopping, one of the largest online shopping platforms available to searchers.

However, moving your shopping campaigns to Google isn’t enough to be successful; marketers need to ensure their shopping feeds are optimized for search.

“We can’t avoid this topic of feed optimizations when we’re talking about shopping campaigns,” said Anastasia Sorokina, director of SEM at performance branding company WITHIN, in her presentation at SMX Next. “Before starting your shopping campaigns, you want to make sure that you follow all the best practices and requirements from Google to ensure that your feed is in good standing.”

Much like organic or paid search campaigns, marketers will be more successful if they adhere to Google’s guidelines and, more importantly, create ads that fulfill searchers’ needs. Here are five ways brands can optimize their Google Shopping ads.

Use highly relevant phrases in shopping ad titles and descriptions

“One of the first things that we always look at in our product feeds are titles and descriptions,” Sorokina said. “You need to have well optimized, well-written titles and descriptions. Not only does Google use them to match your shopping ads to relevant search queries, but it’s also your opportunity to introduce your brand and communicate your value proposition.”

“Put the most valuable attributes of your products in there and pack the details in the beginning,” she added.

Source: Anastasia Sorokina

Creating relevant shopping ad titles — featuring the most pertinent keywords at the beginning — is a helpful way to show searchers your offering fits their needs from the get-go. It’s also a critical piece of Google’s matching algorithm.

With shopping listing descriptions, marketers can feature even more specific product attributes. Aside from including relevant keywords, brands should highlight particular product qualities to further entice consumers.

Choose high-quality, optimized images for your feeds

“Shopping ads offer a rich and visual experience, and it’s crucial to utilize the best quality images that present your product in the best way possible,” said Sorokina. “You should use high-quality images, following Google’s best practices and guidelines in terms of format sizes.”

Visual elements are some of the most important features of shopping ads; they have the potential to make or break campaigns based on their level of quality. To ensure ad images meet Google’s and consumers’ standards, here are some of the Google Merchant Center (GMC) image minimum requirements:

  • Image files must be smaller than 16MB.
  • Images must accurately display the entire product.
  • Images must show all products in the bundle.

GMC also provides marketers with recommended best practices to help improve their ads:

  • Images should represent the distinguishing details of each product variant.
  • Images should use the highest resolution available.
  • Products should take up no less than 75%, but no more than 90%, of the full image.
shopping ad image optimization
Source: Anastasia Sorokina

Sorokina also noted that marketers can add up to 10 images to their shopping ads. This lets brands showcase different views of products to give customers a more robust experience.

“This is a recent addition and not a lot of marketers take advantage of it,” she said. “It’s a great way to catch potential customers’ attention and showcase your product in different settings and angles. It’s going to help your click-through rate and potentially your conversion rate.”

Ensure required attributes are in place

“There are a few attributes that Google requires for you to include in your shopping feed, otherwise you won’t be able to submit the feed in the first place,” Sorokina said. “These include item ID, brand titles, descriptions, and availability.”

Marketers must fill out these attributes with the most accurate information possible to be eligible for Shopping, but there are several optional values to consider using as well. The product category attribute, in particular, allows brands to provide more granular categorization signals to both Google and users.

shopping feed optimization tactics
Source: Anastasia Sorokina

Here are the other optional feed attributes marketers should consider optimizing:

  • Additional image link.
  • Mobile link.
  • Availability date.
  • Cost of goods sold.
  • Expiration date.
  • Sale price.
  • Sale price effective date.

Add additional attributes to stand out from competitors

“Even though your ads have well-written, optimized, relevant titles and descriptions and high-quality eye-catching images, it’s hard to stand out — there’s a lot of competition,” said Sorokina.

Google’s Merchant Promotions offers a lot of attributes to help brands reach the next level of shopping advertising. Marketers can feature discounts, free or discounted shipping, gifts with purchase and other unique selling points to distinguish their brand from competitors.

“Merchant Promotions are a great way to showcase your offers, potentially boosting your click-through rate when a customer sees them,” Sorokina said. “They’re not too hard to set up, but there are certain requirements, especially when it comes to how you show the discounts on your site, and your checkout process also matters.”

Google Merchant Promotions and annotations
Source: Anastasia Sorokina

Sorokina also suggests leveraging Google Shopping annotations, the auto-generated tags that give searchers more context regarding your products: “Things like price drops, free and fast shipping tags — these are different from Merchant Promotions because they’re automated. Google automatically generates these price tags, which allows you to call out some of the products that are on sale.”

She recommends that marketers enable local inventory ads if applicable. They can use them to promote in-store inventory or deals for items picked up in-store.

Brands can also leverage online reviews by showing product ratings on shopping ads. These can help highlight your most highly-rated products.

Prepare for future digital commerce trends

The advent of new technologies and consumer privacy regulations are driving changes in digital commerce. To stay competitive, marketers must not only be aware of these emerging trends but continually experiment with shopping ads to find the best solutions going forward.

“We have some interesting challenges that are presented within the [shopping] ecosystem,” said Basheer Bergus of Growphoria in the same presentation. “We’re seeing less control for advertisers in terms of the data and information they can report on. We’re seeing some data privacy limitations and more automation.”

“It’s incumbent on us as advertisers to continue to test and iterate, but to also be aware of the various regulations that might be local, national or international. We need to make sure that we can get as much data as we can but also abide by the law,” he added.

future of e-commerce and shopping ads
Source: Basheer Bergus

E-commerce revenue is growing with the expansion of digital marketing channels, so brands that haven’t optimized their shopping ads could be missing out. Free product listings and other new features on platforms like Google Shopping have made it easier for brands to enter the digital commerce ecosystem than ever before.

“When we look at the future of shopping ads, what we’re seeing is that it’s becoming less and less convoluted in terms of getting up and running,” Bergus said. “That barrier to entry for the advertising ecosystem has gotten more simplified.”

“The future of shopping ads is looking pretty robust,” he added.

Watch the full SMX Next presentation here (free registration required).

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Jason February 4, 2022 0 Comments

Functions for Core Web Vitals Tactics with Cloudflare’s HTMLRewriter

Our Guide to A/B Testing for Core Web Vitals explained a series of small steps with two services and a browser extension to write tests for frontend code tactics. Thirty years ago, we would copy a page’s raw source to run find-and-replace operations until we could manage a facsimile of a page put in a web-enabled folder to demonstrate the same kinds of recommendations.

We don’t have to do that anymore.

Setting up a reverse proxy and writing software for conducting SEO twenty years ago was limited to a small set of companies that built and hosted the infrastructure themselves. Cloudflare now provides us with a turnkey solution. You can get up and running using a free account. To change frontend code, use Cloudflare’s HTMLRewriter() JavaScript API.

The code is relatively easy to comprehend.

With Core Web Vitals, it’s the immediacy, the perceived need and the rapidity of being able to cycle through varying tests that ultimately shows value and really impresses. The fundamental platform is available to you through the steps outlined in our guide. We’ll write functions for making commonplace changes so that you can begin testing real tactics straight away.

HTMLRewriter()

If you’ve been following along, you may know our script provides the option to preload an element that you can specify in a request parameter for LCP. We return a form when the value is missing, just to make it easy to add your reference. There is also a placeholder for something called importance, which we’ll be addressing as well. What’s important is to understand what we’re going to do.

The HTMLRewriter() API gives us the ability to use jQuery-style element selectors to attach to HTML elements in raw page source to run JavaScript from that foothold. You’ll be able to modify elements, a whole group of elements or even the base document in powerful ways. You can edit a page’s title, for example. In production, your edit becomes the title and is what gets indexed at Google and Bing.

One complication you will encounter is that you can only edit raw source, not a hydrated Document Object Model (DOM). One quick way to view raw source is with the browser’s built-in view-source functionality. With Firefox, view-source highlights validation errors in red, for example. Even when browsers “fix” broken HTML, this can usually be fixed with our Worker.

Working inside DevTools, the “Sources” tab provides access to raw source. Use preference settings to always “pretty print” source, which will format it so you can scan the code to look for optimizations. Another preference tip is a setting to bypass cache when DevTools is open. This workflow will help you as you go so your optimizations don’t result in reference errors.

Element Selectors

When you spot something you want to fix with HTMLRewriter(), you’re going to need to narrow changes and isolate the element to avoid altering more code than you intend. Use the most exclusive selector possible, which can be very easy when elements have unique IDs. Otherwise, find a tell-tale sign, such as a reference to a unique location in href or src attributes.

You will find the ability to use wildcards and “command mode” vim-style regular expressions matching attribute values. You can also supply more than one criteria, even with the same attribute name. Use your vim powers to narrow matches to single elements, or match a group of elements with broader expressions. Logic can then separate concerns between changes.

Example matching wildcard “fonts.g” prefetch link elements to remove those for: fonts.googleapis.com.

.on(`link[rel="dns-prefetch"][href*="fonts.g"]`, removeEl())

Example showing two matches for the href attribute, narrowing it a single file among many.

.on('link[href^="https://example.com/static/version"][href$="/print.css"]', unblockCSS())

The first example above uses that wildcard match where the string “fonts.g” can appear anywhere in the href attribute of link elements. It’s an example for a broad match that might attach to more than one link element for an appropriate action, like removing the element(s) that match, if any.

The second example from above shows how you can select a particular link element that starts with a string, and ends with another string, but which can have anything between. This is useful for selecting a single element that is part of a build system whereby there may be a versioning token directory for browser cache-busing that is dynamically named.

Link elements

Link elements are multifaceted by virtue of their several attributes. Thus, they can serve a number of purposes. Not to be confused with links (as in anchors), link elements are typically where you start looking for quick-hitting performance strategies. Some preload and preconnect link elements may be actually getting in the way or maybe entirely unnecessary.

You only get maximum six hosts to connect simultaneously. Your first strategy will be to make the most of them. Try removing all priority hint link element statements and test the result. If timings go the wrong way, then add them back one at a time and test the real impact of each. You’re going to need to learn how to read the WebpageTest waterfall chart in-depth.

Following this, tactics go to resource loading, which also involves link elements pretty heavily, but not exclusively. At this point, we want to look at scripts as well. The order in which resources load can affect things very negatively. Our testbed is perfect for trying various tactics gleaned from reading the waterfall chart. Keep the console drawer of DevTools open to check for errors as you work.

Removing elements

Removing elements is exceptionally simple to do. Once you’ve selected an element, or a group of them, the next field in HTMLRewriter().on() statements is where you write a script block. You can do this in place with curly braces. You can reference a named function. Or you can build a new class instance for an object defined earlier, which in this context, may be over-engineering.

When you encounter sample Worker code you may see class initializers. All that’s really needed to remove and element is the following function. Anything done with a named class object can be done with a plain function (object) using less code, for fewer bugs, with more readable syntax and far more teachable. We’ll revisit class constructors when we delve into Durable Objects.

element: (el) => { el.remove(); }

In a nutshell, this block defines a variable “el” in reference to the element instance and the code block calls the built-in remove() element method, which you will find detailed in the corresponding documentation. All HTMLRewriter() element methods are available to you for use with instances of your element matches. Removing elements is one of the simpler ones to comprehend.

Unblocking render blocking resources

Unblocking script elements is much easier than unblocking stylesheet resources. As luck would have it, we have a boolean attribute for signaling the browser that we want to asynchronously load a script or defer it altogether (for when there is idle time). That’s ideal! Stylesheets, on the other hand, need a little “hack” to get them unblocked — they requires some inline Javascript.

Essentially, we turn a stylesheet link element reference into preload to unblock it. But that changes the nature of the link element to one where the style rules will not get applied. Preload downloads resources to store them in local cache, ready for when needed, but that’s it. DevTools warns you when a resource is preloaded and not used expediently — that’s when you know you can remove it!

Preloading and then using an onload attribute to run JavaScript to change it back from preload to stylesheet is the CSS “hack” to unblock what otherwise is a naturally render blocking resource. Using JavaScript’s this keyword allows you to change its properties, including the rel attribute (and the onload attribute itself). The pattern has a backfill for non-JavaScript sessions, as well.

Here is our unblockCSS() function which implements the strategy using ready-made element methods.

const unblockCSS = () => ({
element: (el) => {
el.removeAttribute('media');
el.setAttribute('rel', 'preload');
el.setAttribute('as', 'style');
el.setAttribute('onload', "this.onload=null;this.rel='stylesheet';this.media='all'");
el.after(`
<noscript><link rel="stylesheet" href="${el.getAttribute("href")}"></noscript>
`, { html: true }); }});

Select the link element stylesheet references that are render blocking and call this function on them. It allows the browser to begin downloading the stylesheet by preloading it. Once loaded, the rel attribute switches back to stylesheet and the CSS rules get immediately applied. If style problems occur after this change, then one or more sheets need to load in normal request order.

The function acts as a reusable code block. Toggle your element selections using HTMLRewriter() and test the difference unblocking CSS sheets one at a time, or in groups, depending on your approach. Utilize the tactic to achieve an overall strategy unblocking as much as you can. However, always remember to look for problems resulting from changes to CSS and Script resources.

Script priorities

The order in which you load styles can botch the design. Unexpectedly fast-loading stylesheet rules will overwrite ones more sluggishly loaded. You also have to watch while loading scripts in alternate order so that they get evaluated and are resident in memory when the document is evaluated. Reference errors can cascade to dozens or hundreds of script errors.

The best way to check for problems is to watch the console drawer and simulate slow network connections. This can exaggerate problems to the point they should be evident in DevTools. If script resources are processed using more powerful CPUs and load over cable modem speed, or faster, it is possible you’ll miss a critical error. Requests get nicely spaced out, as well.

Here is our function changing, or adding, async and defer attributes.

const makeAsyncJS = () => ({
element: (el) => {
el.removeAttribute("defer");
el.setAttribute("async", "async");
}
});

const makeDeferJS = () => ({
element: (el) => {
el.removeAttribute("async");
el.setAttribute("defer", "defer");
}
});

If a script doesn’t originally have async or defer, it’s harmless to run the removeAttribute() element method for a more reusable code block. You can safely disregard this if you’re working quickly on a one-off project where you might be writing this inline rather than calling a function you defined previously in the script.

Alt attributes for SEO

As mentioned, our Guide to A/B Core Web Vitals tactics was, by design, meant for us to have a fully functioning Edge Computing testbed up and running to demonstrate content with future SEO for Developers articles and future events. During our SMX West event last year (2021), we demonstrated using Cloudflare Workers for a website, achieving Lighthouse fireworks (scoring 100 across all its tests).

There are lots of things which need to be in place to get the fireworks. One important aspect is that all images must have valid alt attributes. The test can detect when the text in in alt attributes are “nondescript,” or present, but empty. You need words that depict what’s in the associated image. One way to do that might be to parse the file name from the src attribute.

Here is a function that extracts text from img src attributes to power alt text from filenames with hyphens.

const img_alt = element.getAttribute('alt');
const img_src = element.getAttribute('src');
if (!img_alt) {
element.setAttribute('alt', img_src.replace('-', ' '));
}

In a nutshell, this will look for the condition on images where there is no alt attribute value. When there’s a likelihood its src attribute filename is hyphenated, it will replace hyphens with spaces to formulate what may be a suitable value. This version won’t work for the majority of cases. It doesn’t replace forward slashes or the protocol and domain. This merely serves as a starting point.

Why we care

Having a testbed for trying out various Core Web Vitals Performance Optimization tactics is incredibly impressive to site owners. You should have this capability in your agency arsenal. A slight Google rankings boost with good scores is both measurable and largely achievable for most sites through tactics we will discuss and demonstrate. Tune in for a live performance March 8-9th.

SEO technicians have long recommended performance improvements for search engine ranking. The benefit to rankings has never been clearer. Google literally defined the metrics and publishes about their effect. We have Cloudflare Workers to implement Edge SEO remedies, as demonstrated here with alt attributes for images. Our reverse proxy testbed by virtue of Cloudflare sets the stage for rich communication with developers.

The post Functions for Core Web Vitals Tactics with Cloudflare’s HTMLRewriter appeared first on Search Engine Land.

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Jason February 3, 2022 0 Comments

How Google uses artificial intelligence In Google Search

As Google continues to leverage more artificial intelligence and machine learning in Google Search, one may wonder in what ways does AI and machine learning help Google Search perform its daily tasks. Since 2015, when Google introduced its first AI into search named RankBrain, Google has continued to deploy AI systems to better understand language and thus improve the search results Google presents to its searches.

Several months ago we sent Google a number of questions around how Google uses its AI in search, including RankBrain, neural matching, BERT and Google’s latest AI breakthrough – MUM. We’ve come up with more of an understanding of when Google uses AI, which AI does what in Google Search, how these various AI algorithms may work together, how they have changed over the years and what, if anything, search marketers need to know when it comes to how Google uses AI in search.

We spoke with Danny Sullivan, the Public Liaison for Google Search, to help with the answers to many of these questions. In short, RankBrain, neural matching and BERT are used in Google’s ranking system across many, if not most, queries and look at understanding the language of both the query and content it is ranking. However, MUM is not currently used for ranking purposes, it is currently only used for COVID vaccine naming and powers the related topics in videos results.

It starts by writing content for humans

You hear it all the time from Google representatives and from many SEOs: write content for humans. In the older days of SEO, when the algorithms were maybe simpler, you would have many SEOs who would craft content for each and every search engine (back then there were dozens of different search engines). Now, there is primarily Google, with a little bit of Bing and some ruffling from DuckDuckGo – but the algorithms are much more complex and with machine learning and AI, the algorithms understand language more like a human would understand language.

So the advice Google has given is write for humans, and that you can’t optimize your site for BERT or any AI. If you write content that humans understand, then the algorithms and AI search engines use will also understand it. In short, this article is not aimed at trying to give you SEO tips on how to optimize your sites for any specific AI, but rather to communicate how Google uses AI in Google Search.

Overview of AI used in Google Search

RankBrain. It starts with RankBrain, Google’s first attempt at using AI in search dates back to 2015. Google told us RankBrain helps Google understand how words are related to concepts and can take a broad query and better define how that query relates to real-world concepts. While it launched in 2015 and was used in 15% of queries, Google said it is now, in 2022, widely used in many queries and in all languages and regions. RankBrain does specifically help Google rank search results and is part of the ranking algorithm.

  • Year Launched: 2015
  • Used For Ranking: Yes
  • Looks at the query and content language
  • Works for all languages
  • Very commonly used for many queries

Here is an example provided by Google of how RankBrain is used, if you search for “what’s the title of the consumer at the highest level of a food chain,” Google’s systems learn from seeing those words on various pages that the concept of a food chain may have to do with animals, and not human consumers. By understanding and matching these words to their related concepts, RankBrain helps Google understand that you’re looking for what’s commonly referred to as an “apex predator.”

Neural matching. Neural matching was the next AI Google released for search, it was released in 2018 and then expanded to the local search results in 2019. In fact, we have an article explaining the differences between RankBrain and neural matching over here. Google told us neural matching helps Google understand how queries relate to pages by looking at the entire query or content on the page and understanding it within the context of that page or query. Today, neural matching is used in many, if not most, queries, for all languages, in all regions, across most verticals of search. Neural matching does specifically help Google rank search results and is part of the ranking algorithm.

  • Year Launched: 2018
  • Used For Ranking: Yes
  • Looks at the query and content language
  • Works for all languages
  • Very commonly used for many queries

Here is an example provided by Google of how neural matching is used, if you search for “insights how to manage a green,” for example. Google said “if a friend asked you this, you’d probably be stumped.” “But with neural matching, we’re able to make sense of this quizzical search. By looking at the broader representations of concepts in the query — management, leadership, personality and more — neural matching can decipher that this searcher is looking for management tips based on a popular, color-based personality guide,” Google told us.

BERT. BERT, Bidirectional Encoder Representations from Transformers, came in 2019, it is a neural network-based technique for natural language processing pre-training. Google told us BERT helps Google understand how combinations of words express different meanings and intents, including looking at the sequence of words on a page, so even seemingly unimportant words in your queries are counted for. When BERT launched, it was used in 10% of all English queries but expanded to more languages and used in almost all English queries early on. Today it is used in most queries and is supported in all languages. BERT does specifically help Google rank search results and is part of the ranking algorithm.

  • Year Launched: 2019
  • Used For Ranking: Yes
  • Looks at the query and content language
  • Works for all languages but Google said BERT “plays critical role in almost every English query”
  • Very commonly used for many queries

Here is an example provided by Google of how BERT is used, if you search for “if you search for “can you get medicine for someone pharmacy,” BERT helps us understand that you’re trying to figure out if you can pick up medicine for someone else. Before BERT, we took that short preposition for granted, mostly surfacing results about how to fill a prescription,” Google told us.

MUM. MUM, Multitask Unified Model, is Google’s most recent AI in search. MUM was introduced in 2021 and then expanded again at the end of 2021 for more applications, with a lot of promising uses for it in the future. Google told us that MUM helps Google not just with understanding languages but also generating languages, so it can be used to understand variations in new terms and languages. MUM is not used for any ranking purposes right now in Google Search but does support all languages and regions.

  • Year Launched: 2021
  • Used For Ranking: No
  • Not query or languages specific
  • Works for all languages but Google not used for ranking purposes today
  • Used for a limited number of purposes

Currently, MUM is used to improve searches for COVID-19 vaccine information, and Google said it is “looking forward to offering more intuitive ways to search using a combination of both text and images in Google Lens in the coming months.”

AI used together in search but may be specialized for search verticals

Danny Sullivan from Google also explained that while these are individual AI-based algorithms, they often work together to help with ranking and understanding the same query.

Google told us that all of these AI systems “are used to understand language including the query and potentially relevant results,” adding that “they are not designed to act in isolation to analyze just a query or a page.” Previously, it may have been assumed and understood that one AI system may have looked more at understanding the query and not the content on the page, but that is not the case, at least not in 2022.

Google also confirmed that in 2022 RankBrain, neural matching, and BERT are used globally, in all languages that Google Search operates in.

And when it comes to web search versus local search versus images, shopping and other verticals, Google explained that RankBrain, neural matching, and BERT are used for web search. Other modes or verticals of Google Search such as images or shopping mode use separate, specialized AI systems, according to Google.

What about core updates and AI

As explained above, Google uses RankBrain, neural matching, and BERT in most queries you enter into Google Search, but Google also has core updates. The Google broad core updates that Google rolls out a few times per year is often noticed by site owners, publishers, and SEOs more than when Google releases these larger AI-based systems.

But Google said these all can work together, with core updates. Google said these three, RankBrain, neural matching, and BERT are the larger AI systems they have. But they have many AI systems within search and some within the core updates that Google rolls out.

Google told us they do have other machine learning systems in Google Search. “RankBrain, neural matching, and BERT are just some of our more powerful and prominent systems,” Google said. Google added, “there are other AI elements that can impact core updates that don’t pertain to those specific three AI systems.”

The post How Google uses artificial intelligence In Google Search appeared first on Search Engine Land.

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Jason February 3, 2022 0 Comments

4 things to beware of with Google’s Performance Max automated campaigns

With Google on its way to over $200b per year in ad revenues, companies that aren’t yet advertising online should think long and hard about why everyone else but them seems to be growing their business with Google Ads.

Perhaps they’ve tried and failed. Let’s face it: Especially in recent years, Google advertising has gotten increasingly automated, yet strangely also more complex with a multitude of campaign types, bidding strategies, and targeting options to choose from. 

In what appears to be an effort to simplify, Google recently introduced a new, streamlined, all-in-one automated-campaign type: Performance Max. This new campaign needs minimal setup and promises to run a company’s ads as appropriate across Google’s six primary advertising channels: Search, Maps, Display, Gmail, Discover and YouTube. 

But as with any automation, Performance Max shouldn’t be thought of as a set-it-and-forget-it campaign. After all, as we’ve established many times before, the best PPC results come from humans and automation working together. Or as Frederick Vallaeys put it in his first book, Digital Marketing in an AI World:

What inputs does Performance Max use?

To get started with automated ads on Google, you need to provide:

  • Your marketing objectives and goals
  • Budget
  • Creative assets 
    • Text 
    • Images 
    • Video (optional, since this will auto-generate)
  • Geo-targets
  • Feeds (optional)
    • Google My Business
    • Google Merchant Center
    • Dynamic Ads feed
    • Business data feeds
  • Audience signals (optional)
    • First-party Audiences, including remarketing lists
    • Google Audiences, including custom audiences

From there, automation is off to the races and promises to show your ad when it expects to be able to get you a conversion.

Where do Performance Max ads run?

To find conversions that meet your stated objectives, Performance Max can, as appropriate, automatically serve your ad across its six channels: Search, Maps, Display, Gmail, Discover, and YouTube. Performance Max will replace Smart Shopping and Local campaigns but is intended to be a supplement rather than a replacement for the other campaign types like Search and Display.

Image source: Google.com January 2022

For new advertisers, this is a big deal and significant simplification because the same possible coverage would have previously required creating a separate campaign for each channel. And for advertisers who are just getting started with Google Ads, they may not have the time, or necessary experience and skill, to set up each and every one of these campaigns correctly to drive success. Now, with only a single campaign to create, advertisers can start seeing immediate results and focus on optimizing those aspects of their campaigns that have the biggest upside potential.

What could go wrong?  

It’s important to understand what any automation’s capabilities and limitations are. If you overestimate an automation’s capabilities, and it fails to deliver, you really have only yourself to blame.

A good analogy is to self-driving cars’ five levels of automation, as defined by the SAE (Society of Automotive Engineers) and National Traffic and Highway Safety Administration: 

What happens when a ‘self-driving’ car crashes?

As long ago as 1979, IBM put the prosecution’s case this way:

Image source: https://samim.io/p/2022-01-24-a-computer-can-never-be-held-accountable-an-ibm-slid/

In Los Angeles, a driver is now being prosecuted for vehicular manslaughter for letting his “self-driving” car run a red light and killing two people in the process. The driver treated his car’s capabilities like a level 5 automation when in fact, it was just a level 2 automation or a driver-assistance feature.

Likewise, in PPC, Performance Max campaigns are not level 5 fully self-driving automation, but more like a level 2 or 3 assist feature. Performance Max handles a narrowly defined task quite well, but it lacks context to be able to do it fully alone.

It’s up to you, the human advertiser, to supply that context, which includes your ultimate business goals. As an account or campaign manager, you’re in the driver’s seat. Google automation can’t be held accountable when problems arise. 

So what can go wrong…

1. You give the automation incomplete goals. 

Think of automation in PPC as your newest team member. When a new person joins your team, whether they’re a hired consultant or a new full-timer, you’ve got to teach them about your business, like your goals and how you make money. If you share incomplete information, for example, by failing to specify that you don’t just want leads but rather leads that convert into sales, they will probably do a poor job.

It’s the same with PPC automation. For example, if you tell the automated Google Ads system that your goal is to get leads, it will probably get you lots of leads. But that wasn’t your real goal. You want leads that turn into customers. It’s critical to have a way to feed this and other goal-related data back to Google so they can deliver what you truly want.

Tools like Optmyzr can help advertisers create value rules to help steer Google automation to better quality conversions. 

2. You supply Google with poorly optimized feeds.

If you sell stuff, or you have multiple business locations, you can give this data to Google through one of their many structured data formats. In the case of products, this is a Google Merchant Feed. 

Google then uses the data from the feed to decide what searches are relevant to your offer and show what it deems the best image, title, and price in each ad. But if your feed contains incomplete data, or if your title text is poorly optimized, your ads will look and feel worse than your competitors’, and you’ll either get fewer or more expensive conversions.

While long-time PPC pros may stress the importance of keywords, bids, and creative, Performance Max lets you control almost none of this. In Fred Vallaeys’s just-published second book, Unlevel the Playing Field: The Biggest Mindshift in PPC History, he explains that modern PPC managers shouldn’t manage every detail but should rather know how to manage Google Ads on the periphery, where they interface with the automated system. 

Knowing how to optimize a feed is a great example of this. The feed connects to the ads system, where Google’s automation takes over and turns it into keywords, targeting, and the ads themselves. 

And if you want more control, PPC software can help turn your feed into keywords, ads, and campaigns from a template you control.  

3. You don’t leverage first-party data.

As privacy concerns mount, there’s a big shift away from third-party data in online advertising. That means that first-party data is gaining in importance. If you have a list of existing customers, feed that first-party data into your Google Ads campaigns to improve targeting. Yes, over time, Google AI could probably learn what type of audience would be best to target. But why let the system potentially waste thousands of dollars to learn what you could have told it right from the start?

And with more advanced PPC tools, you can bring virtually any first-party data into a rule engine to automate your PPC decision-making.

4. You fail to write “helpful” ad components.

If you’re used to advertising on social media and similar platforms, you may have gotten used to writing ads or posts that aim to be attention-getting above all. After all, when a user is rapidly swiping down their feed, the best way to stop them maybe with a controversial title or catchy image. 

Things are different and more complicated with Google Ads. People use Google to search for things they already know they need. If you can help them, there’s no need to stop them in their tracks. Instead, aim to answer their questions and assure them that yours is the best possible solution to their problem. How will you help them? That means including unique value propositions and clear calls to action in the ad text components that will then make up the various parts of your Responsive Search Ads (RSAs). 

For more great insights about how to create effective RSAs, take a look at Optmyzr’s 2021 RSA research and its RSA presentation at SMX Next.

Automation-layering tools can help you avoid these mistakes

So while Google makes it ever easier to run automatic PPC ads, the reality is that these campaigns will deliver far better results with your ongoing help and optimization. You can either do this work manually or get help from automations you manage and control, like those available in PPC-management software suites like Optmyzr

“Automation layering” is what we call automation you install that provides checks and balances to Google’s automation. This is automation you, the manager sitting in the driver’s seat, insert in the interface between you and the Google Ads system. To do this, you don’t need to spend inordinate amounts of time monitoring all the minutiae of the ad engine. Instead, use simple rules and scripts to do this work for you. You can then focus on the strategic elements that add the most value when you, the human driver, deploy them in the system.

Automation layering PPC software doesn’t have to cost a lot. Optmyzr recently introduced Optmyzr Lite, a free tier of service specifically designed for new Google advertisers with single-business ad budgets under $10k per month. Advertisers get access to a dashboard, reports, audits, and optimization suggestions different from and independent of those Google provides. It’s a great way to monitor and correct Google AI when it could use your help, as it inevitably will at times. 
Many advertisers say: don’t let the auctioneer tell you how or when to bid. Optmyzr Lite is a trustworthy third-party tool that can offer a different perspective on how to optimize your Google Ads account so that you can focus on growing your business.

The post 4 things to beware of with Google’s Performance Max automated campaigns appeared first on Search Engine Land.

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Jason February 3, 2022 0 Comments

5 Digital Marketing Tools that Can Boost Your Brokerage

Competitive, modern businesses have digital marketing tools as a central part of their basic recipe for success. Without online marketing, it can be tricky to get access to your target audience or gain new leads. 

For mortgage brokers and loan officers, an effective digital marketing strategy can help generate leads, nurture them, and convert them into clients.

If you’re new to digital marketing or don’t have much experience with it, you might be confused about choosing the best tools to get real results.

The tools and software available in the mortgage industry continue to change rapidly. Staying up to date on trends and popular technologies can be time-consuming, but it’s well worth the effort.

In this article, we’ll highlight the top five digital marketing tools that you can use to boost your brokerage. These tools can help loan officers to connect with customers, produce profits, and gain valuable information about new opportunities. 

1. Social Media Platforms

Any high-quality marketing strategy should include the use of social media platforms. These platforms can be used as networking tools. They can help you to connect with potential clients and encourage customer engagement. 

Cross-promotion and networking with other social media groups can help to create more public interest in your services, which can drive more traffic to your website. Participating in discussions and offering a professional point of view on the industry online can even build your credibility as an expert in your field. 

Platforms like Facebook, LinkedIn, Instagram, and Snapchat allow mortgage brokers to gain greater visibility and make a bigger public impression. 

Many social media platforms offer standard features designed specifically for digital marketing. For example, Facebook includes Facebook Ads Manager, which allows companies to run and track the performance of their online ads.

A high-quality CRM designed for mortgage brokers can integrate with popular social media platforms, too. This makes it easy to track leads that are generated through social media campaigns. 

With just a few clicks, you can set up new campaigns using templates that are fully branded to your organization. Whether you want to share updates about the current state of the mortgage market, reach first-time homebuyers, or highlight a client testimonial, branded templates make it easy to get the word out. 

Once your campaign is complete, you can even track your success through powerful analytics tools. If a campaign generates a ton of leads, you can use it as a template for future marketing efforts. If it didn’t perform as well as you’d hoped, you can make adjustments for your next one.

2. Design Tools

For digital marketing to be successful, it’s important to produce appealing and authoritative content. However, many businesses lack access to a graphic artist. This can make creating ads, social media posts, and blogs difficult. 

Using high-quality images with your posts and blogs will increase public interest in your company. Customers who notice appealing images are much more likely to seek out detailed information about your services and visit your company’s website. 

Lenders who don’t have access to a graphic artist can look into design tools like Photoshop and Canva. But what if you don’t have the time and energy to learn a graphic design program?

Again, this is where the CRM you choose matters. Many top-quality CRMs provide access to advertising templates and libraries. You can add stock images to your posts with ease, making sure that any design you create is visually stunning.

3. Email Marketing Tools

Email marketing is a key component for any successful online marketing strategy. While email communications are often standard ways to communicate with your existing customers, they are also powerful for new ones!

Email marketing is one of the oldest forms of digital communication. While social media, live chat, and other forms of marketing are still beneficial, email communications have a user base of over 4 billion people worldwide. It’s still a preferred method of communication for many prospective clients.

You can use email marketing tools to create fully customized email campaigns. These can highlight relevant information about special loan programs and services. 

For example, if you want to increase the number of veterans that you serve with VA loans, you can send a series of targeted emails to educate buyers about your VA rates, qualifications, and services. 

Looking to reach customers in rural areas? Create a location-targeted email list to market opportunities for USDA loans. 

You can also use email marketing to reach out to celebrate milestones with your existing customers. For example, you can automatically send a note of congratulations to celebrate a past buyer’s first year in their home.

Personalized Touch

Lastly, you can use email marketing to encourage relationships with real estate agents, title companies, and other valued partners. Schedule emails to go out once a quarter to invite partners to network events, celebrate your first transaction together, or update your partners about new products and services.

These personalized touches can make a huge impact on your clients and partners. Rather than sending vague, generic content out to a massive list of leads, you can refine your approach and connect with various groups in meaningful ways.

The best CRM tools will integrate with email marketing platforms. This will allow you to define customer groups with tags and lists. Once these lists are ready, you can prepare automated email campaigns to be published on a schedule. 

With the top tools on the market, you can even review your results! You can see how many emails were opened, which links were clicked on, who moved from a lead to a customer, and what time of day emails were opened most often. With this information in hand, you can continue to refine your results.

4. Survey and Review Tools

Surveys can be an important part of an effective digital marketing strategy. Small questionnaires can help you to understand your client’s needs and create meaningful solutions to address them.

You can send out a survey via email, social media, or simple text. You can get immediate feedback on services, personnel, and marketing campaigns with a survey.

For example, you can send an automated email survey to every customer after their loan closes. This will give you an opportunity to review your own performance, as well as the performance of other loan officers in your brokerage. 

If a client reports a problem, you can reach out right away to try to make things right. This can help to support a great brand reputation for your mortgage brokerage.

Encourage customers who feel great about their experience with your company to provide reviews online. Public customer feedback, testimonials, and reviews will often establish brand credibility better than traditional ads. 

Incorporating online reviews on your company website or registering your company on Google Business can allow you to quickly and easily request client reviews. 

Once these reviews come in, you can post them on social media. You can also send out a thank you email, ask for referrals, and use feedback to reward team members for a job well done.

When you have served clients well, they’ll be happy to spread the word with their friends and family members. This kind of word-of-mouth support can be powerful for any mortgage brokerage.

5. Analytics Tools

Analytic tools include Google Analytics, Facebook Insights, and Twitter Analytics, to name a few. But your CRM should also work well with your digital marketing tools, allowing you to determine how successful each campaign was.

For example, perhaps you use your CRM to design and publish a Facebook marketing campaign. Afterward, you should be able to review how much you spent, how many clicks/likes/shares you received, how many leads you received, and more. You can repeat successful campaigns or adjust your strategy for future marketing efforts with this information in hand.

Using analytics tools to monitor a company’s website performance is the backbone of a successful marketing strategy. If your analytics are not revealing positive trends, it may be time to change your marketing strategy. But you can’t change your strategy if you don’t know what went wrong in the first place!

Real-time, accurate information is essential for all mortgage brokers. Use this information wisely, and you can become a master of digital marketing.

A Powerful CRM Solution to Take Digital Marketing to the Next Level

Digital marketing trends have changed the ways that mortgage brokers do business. 

It doesn’t matter whether you’re an individual loan officer, part of a small, dynamic team, or the leader of a large mortgage brokerage. Digital marketing can help you effectively market your company to potential clients online. 

Digital marketing requires a blend of experience, strategy, and media savvy. When you use the right tools, you can generate high-quality results. 

At BNTouch, lenders use our powerful solutions to generate new leads, nurture clients through the sales funnel, connect with partners, and close loans easily. Reach out today to schedule a demo for the best mortgage brokerage CRM on the market!

 

Request a free demo

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Jason February 3, 2022 0 Comments

Google Q4 search ad revenue: $43.3 billion

Alphabet, parent company of Google, released its earnings report yesterday for its fourth quarter. In it, we learned Google search advertising revenue increased 35% compared to the same quarter in 2020.

Overall, Alphabet reported Q4 revenue of $75.3 billion, up 32% from $52.8 billion vs. Q4 2020. For fiscal year 2021, Alphabet revenue was $257.6 billion, an impressive 41% increase from $182.5 billion in FY 2020.

Total Google advertising up 32.5%. In Q4, total Google advertising brought in $61.2 billion in revenue. In Q4 2020, that figure was $46.2 billion. “Total Google advertising” includes Google search and other, YouTube advertising, and Google Network.

Philipp Schindler, Google’s SVP and chief business officer, said on the Alphabet earnings call that this growth was driven by “broad-based strength in advertiser spend and strong consumer online activity. In the fourth quarter, retail was again by far the largest contributor to year-on-year growth of our ads business. Finance, media and entertainment and travel were also strong contributors.”

And in fiscal year 2021, total Google advertising grew 42.5% year over year compared to 2020 – $209.5 billion vs. $146.9 billion. 

Wondering what percent of Alphabet’s total revenue came from Google advertising in 2021? That would be 82%. 

Google Search & other up 35.7%. In Q4, search advertising accounted for $43.3 billion in revenue, Alphabet reported. In Q4 2020, that number was $31.9 billion.

Looking at fiscal year 2021, Google search and other brought in just under $149 billion, an increase of 43% over $104 billion in 2020.

YouTube Advertising up 25.3%. In Q4, YouTube advertising accounted for $8.6 billion in revenue. In Q4 2020, that number was $6.8 billion.

For fiscal year 2021, YouTube advertising brought in $28.8 billion, an increase of 45.8% over $19.7 billion in 2020.

Google Network up 25.5%. In Q4, the Google network accounted for $9.3 billion in revenue. In Q4 2020, that number was $7.4 billion

For fiscal year 2021, Google network brought in $31.7 billion in revenue, up 37.2% versus $23 billion in 2020.

Why we care. Last week, Microsoft reported its search revenue, a much smaller $3 billion by comparison during the same time period. Clearly, Google is the behemoth in search advertising. This provides even more proof that brands and businesses are investing in paid search advertising on Google. During the earnings call, Google highlighted advances in AI, machine learning, and automation as ways they are helping advertisers find opportunities. The big question: is Google delivering enough conversions and the best ROI? Schindler noted that “there’s a lot of intelligence in our auction to deliver great ROI for advertisers, but there’s always more we can do.”

Source: Alphabet Fourth Quarter and Fiscal Year 2021 results

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Jason February 2, 2022 0 Comments

Google finally launches revamped Partners program

Google has launched the new Google Partners program, the company announced Wednesday. This means that Partners program requirement changes have now taken effect.

Google will notify all Partners of their current status. Those that have already met the new requirements will receive their Partners badge immediately and those that have not will receive their badge as soon as they meet all the requirements.

Google initially announced requirement changes to this program in February 2020, but the launch was delayed due to the effects of the coronavirus pandemic, which also gave the company time to integrate feedback from advertisers into the final version of the requirements.

The new Partner requirements. Agencies were not happy with the first iteration of Google’s new Partners program requirements: The company had doubled the 90-day spend threshold (from $10,000 to $20,000), added an optimization score requirement and extended the Google Ads certification criteria to half of eligible users (up from just one).

After receiving feedback from the paid search community, Google kept the 90-day threshold at $10,000 and enabled advertisers to accept or dismiss recommendations to improve their optimization score. The official launch of the new Partners program (and the associated requirement changes) was also postponed until now.

To be eligible for the new Google Partners program, advertisers must:

  • Achieve an optimization score of 70%.
  • Spend $10,000 across all of a partner’s managed accounts within a 90-day period.
  • Have at least 50% of designated account strategists certified in Google Ads, with at least one certification in each product area (Search, Display, Video, etc.) with campaign spend of $500 (or more) in 90 days.

Premier Partners requirements. Agencies that meet Partners requirements and are within the top 3% of participating agencies in their country are eligible to become Premier Partners. The top 3% is evaluated annually; the factors that determine the top 3% include, but aren’t limited to:

  • Client growth – Ability for partners to grow their existing clients and acquire new clients, measured by year-over-year ads spend growth and ads spend among first-time Google Ads clients.
  • Client retention – Demonstrated ability to sustain client business, measured by the percentage of clients retained year-over-year.
  • Product diversification – Demonstrated investment in results-focused product mix beyond Search, measured by the percentage of spend in Display, Apps, Video, and Shopping each calendar year.
  • Annual ads spend – Investment in Google Ads or Google Marketing Platform, measured by spend across managed accounts each calendar year.

New benefits for Partners and Premier Partners. In addition to existing program benefits, all Partners that meet the new requirements will be eligible for “High-value offers,” which are $500 Google Ads credits (previously $100) for new clients. New clients will have 60 days (previously 30 days) to spend $500 to qualify for the $500 credit.

Moving forward, high-value offers will only be available to Google Partners and Premier Partners. For Members, the current promotional offers will still be available to apply to client

accounts until the end of March.

And, beginning later this month, all Partners will be listed in Google’s new Partners directory, which will be available globally to all advertisers.

Google has published a document detailing program benefits for those that would like to learn more.

Benefits just for Premier Partners. Premier Partner status is awarded to the top 3% of partners in each country. Google Ads is now offering its Premier Partners the following:

  • Product betas – Receive ongoing access to the most current product betas. 
  • Advanced Google Ads support – Access 24-hour advanced ads support.
  • Executive experiences –  Attend invite-only industry events, such as roundtable discussions with Google leaders, sessions with other Premier Partners and opportunities to hear from industry thought leaders. 
  • Premier Partner Awards – The Premier Partner Awards highlight excellence in digital marketing and showcase Premier Partners that help drive results for clients with Google Ads.
  • Newly redesigned 2022 Premier Partner badge.

Why we care. We’ve known about these changes for quite some time and now they’ve taken effect, which means that if you haven’t already met the new requirements, you may no longer have Partner status.

Additionally, there may now be a more urgent need to meet the new requirements, particularly the certification requirement: “The main requirement we have seen some Partners not meet is the Certification Requirement,” a Google spokesperson told Search Engine Land when asked about what may be holding agencies back from earning their Partner badges. “The majority are meeting both the Performance [optimization score] and Spend requirements.”

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Jason February 2, 2022 0 Comments

Google Search Console snapshot in search results now can show domain properties

Back in 2018, Google began showing a snapshot of your Google Search Console data and analytics in the web search results for verified properties. Now, Google will also show this snapshot for domain property verification methods, not just the older verification methods.

The announcement. Google announced this on Twitter saying “we are happy to share that starting today Search Console in Search results feature will also support domain properties.”

What it looks like. Here is a screenshot of what this looks like in the search results:

What changed. When this snapshot card launched, it worked for all the verification methods Google Search Console initially supported. But when Google released domain properties the following year, the snapshot was not supported for that verification method. Now Google is supporting displaying the Search Console snapshot for domain properties.

How do you see it. This card can appear only if you are an owner or full user of the site in Google Search Console, and you are signed in with that Google account while searching for your site or queries it might rank for. You can turn this snapshot on or off as well, those instructions are in this help document.

Why we care. Having this snapshot come up can be useful for site owners who have Search Console access but might not check their Search Console data too often. This is a useful reminder to those site owners that there is a treasure trove of data and information in Search Console that they can look at or hire an SEO agency to look at on their behalf.

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Jason February 2, 2022 0 Comments