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After Google: Should SEOs Jump Ship?



After Google: Should SEOs Jump Ship?

The author’s views are entirely his or her own (excluding the unlikely event of hypnosis) and may not always reflect the views of Moz.

There was a pre-search-engine age. It’s hard to conceive of now, but there was. Even in the early days of search engines, when Ask Jeeves, Yahoo, and Excite still competed for the crown, I can remember web portals. Pages that I’d start at, in the “computer room” at school, to navigate and explore the web not by searching, but by clicking on organized links.

In the beginning, there were web portals. The internet was without form and void, and darkness was over the face of the deep.

These were already the death throes of a previous internet age. Search engine dominance, and specifically Google dominance, has been the norm for this kind of journey for decades now. It’s all that many SEOs have ever known.

But what comes next?

People have talked for a long time about existential threats to Google’s dominance, and often, implicitly, by extension, SEO. You’ll have heard the claims that Amazon or YouTube are now preferred engines for certain kinds of search, or that Google is going to struggle against the unique technological advantages of Apple, AI chatbots, the unique regional advantages of Baidu, or the unique format advantages of TikTok. Or maybe you’ve even heard that people prefer to restrict their searches only to Reddit. Even mainstream outlets are suggesting that Google search quality may be in decline.

This post is not about the health of Google search as a product, or about the implications of improving AI products for your SEO strategy right now. (Although, I know of at least one post for this blog being written on that topic!) Instead, this post is about which of these threats, if any, actually stand a chance of unseating Google’s dominance.

In what capacity?

To ask what might take Google’s role, we must first ask what role it is that we’re interested in. Google is many things, and possibly part of the reason Google’s doom is so often predicted is that we’re not always talking about the same specific things.

What exactly is it that search engines as a genre, and then Google, have dominated? Perhaps we might mean:

  • The place you’d start to find a web page on a site you’ve not yet discovered? For example, you might not know yet what the best site is for a given topic.

  • The place you’d start to find a web page on a site you’re already familiar with? Perhaps you’re searching on Google hoping to see a result from Reddit, or from Wikipedia.

  • The place you’d start to answer a given question? So maybe you’d be happy with a non-web result as long as it answered your question.

  • The place you’d start to complete a task? So, again, the best answer might not be a web page at all.

The truth is that the present reality blurs these use cases to the point of it not being useful to separate them. But for Google to be replaced by something that maintains this close alignment, it’d have to be a close peer competitor.

The obvious pretenders

There are two that come to mind, as similarly resourced companies trying similar things via a similar method (a web index): Bing and Apple.

I don’t want to be dismissive of Bing, or of the value of someone — anyone — else maintaining a similar enough competitor to keep Google somewhat honest. Although it’s often mocked in SEO circles, Bing in reality is not so many years behind Google at any given point. But, really, it’s hard to see the events that could lead to Bing supplanting Google at its own game. It’s just too similar for people to make the switch. One possibility based on recent news is for Bing to become less similar, pursuing one of the precise alternatives I’ll cover below – but more on that when we get to it.

Apple, on the other hand, is doing something similar, but with some unique advantages. I must credit my former colleague (and 2023 Mozcon speaker) Tom Anthony who has been very prescient around Apple’s moves in this space, going so far as to backward-engineer Apple search results that weren’t supposed to be publicly available. Apple can do things that Bing can’t, leveraging Apple’s app ecosystem and device integration to provide search results that skip certain steps of a user journey in ways that Google cannot, or will not.

The trouble with Apple as a Google search competitor is obvious, though. The unique advantages, as I said, are to do with apps and hardware. Apple devices are expensive — prohibitively so. (This varies by market – in the US, with the base price of a phone contract being so high, iPhones are more palatable and have a notably higher market share than in Europe, for example. But, that’s a topic for another day – either way…). There is a fairly hard cap on the market share of a search engine that is only superior on high-end devices, and not only that, but ones from a specific brand.

So could Apple take a big chunk out of Google? Yes, it may already quietly have done so with various iOS changes pushing the prevalence of Apple’s own search results. But totally replace Google? Very unlikely.

You can say the same for regional competitors like Baidu, Yandex, or Naver. These may well consistently beat out Google in their own backyards, and perhaps even spread to nearby countries and regions, but it’s hard to see them beating Google in its own backyard(s).

Revolution, not evolution

So what about competitors that replace Google by doing something totally different, to solve the same problems? The reality is that a lot of the problems we solve right now with web search, are not actually well suited to web search. The fact that something like a Google Home will often answer your questions by essentially reading out a featured snippet is a symptom of Google’s dominance, not a symptom of web search being well suited to that use case. Even Google themselves recognize this, and betray that in tools like Google Translate, clocks, calculators, and so on, embedded in SERPs. So who might the more disruptive threats be?

One name that came up a lot in 2022 is TikTok, and I’d point you to this excellent post by Lidia Infante on this very blog. To sum up her argument, TikTok can take market share from Google, but it can’t replace Google entirely. TikTok is too specialized (in video format and certain topic areas), and the quality assurance is too weak. So, again, we have a competitor that chips away at Google without replacing it.

Then of course, most recently, SEOs of Twitter have been right to point out that for many queries, ChatGPT produces better responses than Google. Take this example, “excel query for extraction the domain name from a url”:

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1674474876 874 After Google Should SEOs Jump Ship

The ChatGPT result above is far more informative and easy to follow. However, like TikTok, this only works for certain things. ChatGPT is not a web search engine:

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1674474876 949 After Google Should SEOs Jump Ship

So you have to be willing to abandon the premise that your result should be a web page. Which, in this context, comes down to: do you trust an answer if you don’t know who wrote it? ChatGPT and similar technologies have access to “knowledge” sourced from the web, like Google, but they don’t cite a source. Indeed, it would be immensely difficult to trace the source of their various claims, some of which seem quite… odd.

Similar to TikTok, then, this is something I might prefer to Google for a specific kind of query. In this particular case, the kind of query that previously took me to StackOverflow. But I’m not going to ask it for mortgage advice.

I noted above that Bing is rumored to be integrating ChatGPT with its own search product. This enlarges the threat to Google in that it makes this technology more accessible, but really, the same qualms apply – there are many, many queries for which this is not helpful. Even if Bing can hybridize these technologies into a “best of both” of traditional web search and NLP, well – that’s already the road Google is going down.

The other challenge with this “ChatAI as search” model is an economic one. Google and Amazon have both already come to the conclusion that the type of queries asked of their personal assistant devices are barely, if at all, economic to run – because of the limited monetization opportunities for purely informational queries. Perhaps my distinction above, about what we mean by replacing Google, is very relevant here – some of our use cases of Google as a search engine are actually just a loss leader for others. As such, perhaps this bundling of disparate uses is necessary.

The King is dea… wait, wait, he’s still breathing

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Number of explicit core search queries powered by search engines in the United States as of January 2022 – via Statista

Ultimately, these threats look set to chip away at Google, not replace it. At worst, a broad monopoly will be sliced up and shrunk, and that doesn’t feel like any great evil. For SEOs, we should be aware of these new search engines, and these new “search engines”, and of the risks attached to being locked into the Google ecosystem. But don’t forget the chart above: the original pie is not going anywhere. The Google SEO game is still not a bad game to be playing.

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Why We Are Always ‘Clicking to Buy’, According to Psychologists



Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.


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A deeper dive into data, personalization and Copilots



A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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Why The Sales Team Hates Your Leads (And How To Fix It)



Why The Sales Team Hates Your Leads (And How To Fix It)

Why The Sales Team Hates Your Leads And How To

You ask the head of marketing how the team is doing and get a giant thumbs up. 👍

“Our MQLs are up!”

“Website conversion rates are at an all-time high!”

“Email click rates have never been this good!”

But when you ask the head of sales the same question, you get the response that echoes across sales desks worldwide — the leads from marketing suck. 

If you’re in this boat, you’re not alone. The issue of “leads from marketing suck” is a common situation in most organizations. In a HubSpot survey, only 9.1% of salespeople said leads they received from marketing were of very high quality.

Why do sales teams hate marketing-generated leads? And how can marketers help their sales peers fall in love with their leads? 

Let’s dive into the answers to these questions. Then, I’ll give you my secret lead gen kung-fu to ensure your sales team loves their marketing leads. 

Marketers Must Take Ownership

“I’ve hit the lead goal. If sales can’t close them, it’s their problem.”

How many times have you heard one of your marketers say something like this? When your teams are heavily siloed, it’s not hard to see how they get to this mindset — after all, if your marketing metrics look strong, they’ve done their part, right?

Not necessarily. 

The job of a marketer is not to drive traffic or even leads. The job of the marketer is to create messaging and offers that lead to revenue. Marketing is not a 100-meter sprint — it’s a relay race. The marketing team runs the first leg and hands the baton to sales to sprint to the finish.



To make leads valuable beyond the vanity metric of watching your MQLs tick up, you need to segment and nurture them. Screen the leads to see if they meet the parameters of your ideal customer profile. If yes, nurture them to find out how close their intent is to a sale. Only then should you pass the leads to sales. 

Lead Quality Control is a Bitter Pill that Works

Tighter quality control might reduce your overall MQLs. Still, it will ensure only the relevant leads go to sales, which is a win for your team and your organization.

This shift will require a mindset shift for your marketing team: instead of living and dying by the sheer number of MQLs, you need to create a collaborative culture between sales and marketing. Reinforce that “strong” marketing metrics that result in poor leads going to sales aren’t really strong at all.  

When you foster this culture of collaboration and accountability, it will be easier for the marketing team to receive feedback from sales about lead quality without getting defensive. 

Remember, the sales team is only holding marketing accountable so the entire organization can achieve the right results. It’s not sales vs marketing — it’s sales and marketing working together to get a great result. Nothing more, nothing less. 

We’ve identified the problem and where we need to go. So, how you do you get there?

Fix #1: Focus On High ROI Marketing Activities First

What is more valuable to you:

  • One more blog post for a few more views? 
  • One great review that prospective buyers strongly relate to?

Hopefully, you’ll choose the latter. After all, talking to customers and getting a solid testimonial can help your sales team close leads today.  Current customers talking about their previous issues, the other solutions they tried, why they chose you, and the results you helped them achieve is marketing gold.

On the other hand, even the best blog content will take months to gain enough traction to impact your revenue.

Still, many marketers who say they want to prioritize customer reviews focus all their efforts on blog content and other “top of the funnel” (Awareness, Acquisition, and Activation) efforts. 

The bottom half of the growth marketing funnel (Retention, Reputation, and Revenue) often gets ignored, even though it’s where you’ll find some of the highest ROI activities.

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Most marketers know retaining a customer is easier than acquiring a new one. But knowing this and working with sales on retention and account expansion are two different things. 

When you start focusing on retention, upselling, and expansion, your entire organization will feel it, from sales to customer success. These happier customers will increase your average account value and drive awareness through strong word of mouth, giving you one heck of a win/win.

Winning the Retention, Reputation, and Referral game also helps feed your Awareness, Acquisition, and Activation activities:

  • Increasing customer retention means more dollars stay within your organization to help achieve revenue goals and fund lead gen initiatives.
  • A fully functioning referral system lowers your customer acquisition cost (CAC) because these leads are already warm coming in the door.
  • Case studies and reviews are powerful marketing assets for lead gen and nurture activities as they demonstrate how you’ve solved identical issues for other companies.

Remember that the bottom half of your marketing and sales funnel is just as important as the top half. After all, there’s no point pouring leads into a leaky funnel. Instead, you want to build a frictionless, powerful growth engine that brings in the right leads, nurtures them into customers, and then delights those customers to the point that they can’t help but rave about you.

So, build a strong foundation and start from the bottom up. You’ll find a better return on your investment. 

Fix #2: Join Sales Calls to Better Understand Your Target Audience

You can’t market well what you don’t know how to sell.

Your sales team speaks directly to customers, understands their pain points, and knows the language they use to talk about those pains. Your marketing team needs this information to craft the perfect marketing messaging your target audience will identify with.

When marketers join sales calls or speak to existing customers, they get firsthand introductions to these pain points. Often, marketers realize that customers’ pain points and reservations are very different from those they address in their messaging. 

Once you understand your ideal customers’ objections, anxieties, and pressing questions, you can create content and messaging to remove some of these reservations before the sales call. This effort removes a barrier for your sales team, resulting in more SQLs.

Fix #3: Create Collateral That Closes Deals

One-pagers, landing pages, PDFs, decks — sales collateral could be anything that helps increase the chance of closing a deal. Let me share an example from Lean Labs. 

Our webinar page has a CTA form that allows visitors to talk to our team. Instead of a simple “get in touch” form, we created a drop-down segmentation based on the user’s challenge and need. This step helps the reader feel seen, gives them hope that they’ll receive real value from the interaction, and provides unique content to users based on their selection.

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So, if they select I need help with crushing it on HubSpot, they’ll get a landing page with HubSpot-specific content (including a video) and a meeting scheduler. 

Speaking directly to your audience’s needs and pain points through these steps dramatically increases the chances of them booking a call. Why? Because instead of trusting that a generic “expert” will be able to help them with their highly specific problem, they can see through our content and our form design that Lean Labs can solve their most pressing pain point. 

Fix #4: Focus On Reviews and Create an Impact Loop

A lot of people think good marketing is expensive. You know what’s even more expensive? Bad marketing

To get the best ROI on your marketing efforts, you need to create a marketing machine that pays for itself. When you create this machine, you need to think about two loops: the growth loop and the impact loop.

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  • Growth loop — Awareness ➡ Acquisition ➡ Activation ➡ Revenue ➡ Awareness: This is where most marketers start. 
  • Impact loop — Results ➡ Reviews ➡ Retention ➡ Referrals ➡ Results: This is where great marketers start. 

Most marketers start with their growth loop and then hope that traction feeds into their impact loop. However, the reality is that starting with your impact loop is going to be far more likely to set your marketing engine up for success

Let me share a client story to show you what this looks like in real life.

Client Story: 4X Website Leads In A Single Quarter

We partnered with a health tech startup looking to grow their website leads. One way to grow website leads is to boost organic traffic, of course, but any organic play is going to take time. If you’re playing the SEO game alone, quadrupling conversions can take up to a year or longer.

But we did it in a single quarter. Here’s how.

We realized that the startup’s demos were converting lower than industry standards. A little more digging showed us why: our client was new enough to the market that the average person didn’t trust them enough yet to want to invest in checking out a demo. So, what did we do?

We prioritized the last part of the funnel: reputation.

We ran a 5-star reputation campaign to collect reviews. Once we had the reviews we needed, we showcased them at critical parts of the website and then made sure those same reviews were posted and shown on other third-party review platforms. 

Remember that reputation plays are vital, and they’re one of the plays startups often neglect at best and ignore at worst. What others say about your business is ten times more important than what you say about yourself

By providing customer validation at critical points in the buyer journey, we were able to 4X the website leads in a single quarter!

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So, when you talk to customers, always look for opportunities to drive review/referral conversations and use them in marketing collateral throughout the buyer journey. 

Fix #5: Launch Phantom Offers for Higher Quality Leads 

You may be reading this post thinking, okay, my lead magnets and offers might be way off the mark, but how will I get the budget to create a new one that might not even work?

It’s an age-old issue: marketing teams invest way too much time and resources into creating lead magnets that fail to generate quality leads

One way to improve your chances of success, remain nimble, and stay aligned with your audience without breaking the bank is to create phantom offers, i.e., gauge the audience interest in your lead magnet before you create them.

For example, if you want to create a “World Security Report” for Chief Security Officers, don’t do all the research and complete the report as Step One. Instead, tease the offer to your audience before you spend time making it. Put an offer on your site asking visitors to join the waitlist for this report. Then wait and see how that phantom offer converts. 

This is precisely what we did for a report by Allied Universal that ended up generating 80 conversions before its release.

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The best thing about a phantom offer is that it’s a win/win scenario: 

  • Best case: You get conversions even before you create your lead magnet.
  • Worst case: You save resources by not creating a lead magnet no one wants.  

Remember, You’re On The Same Team 

We’ve talked a lot about the reasons your marketing leads might suck. However, remember that it’s not all on marketers, either. At the end of the day, marketing and sales professionals are on the same team. They are not in competition with each other. They are allies working together toward a common goal. 

Smaller companies — or anyone under $10M in net new revenue — shouldn’t even separate sales and marketing into different departments. These teams need to be so in sync with one another that your best bet is to align them into a single growth team, one cohesive front with a single goal: profitable customer acquisition.

Interested in learning more about the growth marketing mindset? Check out the Lean Labs Growth Playbook that’s helped 25+ B2B SaaS marketing teams plan, budget, and accelerate growth.

Disruptive Design Raising the Bar of Content Marketing with Graphic

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