May
22

Managing Algorithmic Volatility

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Managing Algorithmic Volatility | SEO Book

Upon the recently announced Google update I’ve seen some people Tweet things like

  • if you are afraid of algorithm updates, you must be a crappy SEO
  • if you are technically perfect in your SEO, updates will only help you

I read those sorts of lines and cringe.

Here’s why…

Fragility

Different businesses, business models, and business structures have varying degrees of fragility.

If your business is almost entirely based on serving clients then no matter what you do there is going to be a diverse range of outcomes for clients on any major update.

Let’s say 40% of your clients are utterly unaffected by an update & of those who saw any noticeable impact there was a 2:1 ratio in your favor, with twice as many clients improving as falling.

Is that a good update? Does that work well for you?

If you do nothing other than client services as your entire business model, then that update will likely suck for you even though the net client impact was positive.

Why?

Many businesses are hurting after the Covid-19 crisis. Entire categories have been gutted & many people are looking for any reason possible to pull back on budget. Some of the clients who won big on the update might end up cutting their SEO budget figuring they had already won big and that problem was already sorted.

Some of the clients that fell hard are also likely to either cut their budget or call endlessly asking for updates and stressing the hell out of your team.

Capacity Utilization Impacts Profit Margins

Your capacity utilization depends on how high you can keep your steady state load relative to what your load looks like at peaks. When there are big updates management or founders can decide to work double shifts and do other things to temporarily deal with increased loads at the peak, but that can still be stressful as hell & eat away at your mental and physical health as sleep and exercise are curtailed while diet gets worse. The stress can be immense if clients want results almost immediately & the next big algorithm update which reflects your current work may not happen for another quarter year.

How many clients want to be told that their investments went sour but the problem was they needed to double their investment while cashflow is tight and wait a season or two while holding on to hope?

Category-based Fragility

Businesses which appear to be diversified often are not.

  • Everything in hospitality was clipped by Covid-19.
  • 40% of small businesses across the United States have stopped making rent payments.
  • When restaurants massively close that’s going to hit Yelp’s business hard.
  • Auto sales are off sharply.

Likewise there can be other commonalities in sites which get hit during an update. Not only could it include business category, but it could also be business size, promotional strategies, etc.

Sustained profits either come from brand strength, creative differentiation, or systemization. Many prospective clients do not have the budget to build a strong brand nor the willingness to create something that is truly differentiated. That leaves systemization. Systemization can leave footprints which act as statistical outliers that can be easily neutralized.

Sharp changes can happen at any point in time.

For years Google was funding absolute garbage like Mahalo autogenerated spam and eHow with each month being a new record. It is very hard to say “we are doing it wrong” or “we need to change everything” when it works month after month after month.

Then an update happens and poof.

  • Was eHow decent back in the first Internet bubble? Sure. But it lost money.
  • Was it decent after it got bought out for a song and had the paywall dropped in favor of using the new Google AdSense program? Sure.
  • Was it decent the day Demand Media acquired it? Sure.
  • Was it decent on the day of the Demand Media IPO? Almost certainly not. But there was a lag between that day and getting penalized.

Panda Trivia

The first Panda update missed eHow because journalists were so outraged by the narrative associated with the pump-n-dump IPO. They feared their jobs going away and being displaced by that low level garbage, particularly as the market cap of Demand Media eclipsed the New York Times.

Journalist coverage of the pump-n-dump IPO added credence to it from an algorithmic perspective. By constantly writing hate about eHow they made eHow look like a popular brand, generating algorithmic signals that carried the site until Google created an extension which allowed journalists and other webmasters to vote against the site they had been voting for through all their outrage coverage.

Algorithms & the Very Visible Hand

And all algorithmic channels like organic search, the Facebook news feed, or Amazon’s product pages go through large shifts across time. If they don’t, they get gamed, repetitive, and lose relevance as consumer tastes change and upstarts like Tiktok emerge.

Consolidation by the Attention Merchants

Frequent product updates, cloning of upstarts, or outright acquisitions are required to maintain control of distribution:

“The startups of the Rebellion benefited tremendously from 2009 to 2012. But from 2013 on, the spoils of smartphone growth went to an entirely different group: the Empire. … A network effect to engage your users, AND preferred distribution channels to grow, AND the best resources to build products? Oh my! It’s no wonder why the Empire has captured so much smartphone value and created a dark time for the Rebellion. … Now startups are fighting for only 5% of the top spots as the Top Free Apps list is dominated by incumbents. Facebook (4 apps), Google (6 apps), and Amazon (4 apps) EACH have as many apps in the Top 100 list as all the new startups combined.”

Apple & Amazon

Emojis are popular, so those features got copied, those apps got blocked & then apps using the official emojis also got blocked from distribution. The same thing happens with products on Amazon.com in terms of getting undercut by a house brand which was funded by using the vendor’s sales data. Re-buy your brand or else.

Facebook

Before the Facebook IPO some thought buying Zynga shares was a backdoor way to invest into Facebook because gaming was such a large part of the ecosystem. That turned out to be a dumb thesis and horrible trade. At times other things trended including quizzes, videos, live videos, news, self hosted Instant Articles, etc.

Over time the general trend was edge rank of professional publishers fell as a greater share of inventory went to content from friends & advertisers. The metrics associated with the ads often overstated their contribution to sales due to bogus math and selection bias.

Internet-first publishers like CollegeHumor struggled to keep up with the changes & influencers waiting for a Facebook deal had to monetize using third parties:

“I did 1.8 billion views last year,” [Ryan Hamilton] said. “I made no money from Facebook. Not even a dollar.” … “While waiting for Facebook to invite them into a revenue-sharing program, some influencers struck deals with viral publishers such as Diply and LittleThings, which paid the creators to share links on their pages. Those publishers paid top influencers around $500 per link, often with multiple links being posted per day, according to a person who reached such deals.”

YouTube

YouTube had a Panda-like update back in 2012 to favor watch time over raw view counts. They also adjust the ranking algorithms on breaking news topics to favor large & trusted channels over conspiracy theorist content, alternative health advice, hate speech & ridiculous memes like the Tide pod challenge.

All unproven channels need to start somewhat open to gain usage, feedback & marketshare. Once they become real businesses they clamp down. Some of the clamp down can be editorial, forced by regulators, or simply anticompetitive monpolistic abuse.

Kid videos were a huge area on YouTube (perhaps still are) but that area got cleaned up after autogenerated junk videos were covered & the FTC clipped YouTube for delivering targeted ads on channels which primarily catered to children.

Dominant channels can enforce tying & bundling to wipe out competitors:

“Google’s response to the threat from AppNexus was that of a classic monopolist. They announced that YouTube would no longer allow third-party advertising technology. This was a devastating move for AppNexus and other independent ad technology companies. YouTube was (and is) the largest ad-supported video publisher, with more than 50% market share in most major markets. … Over the next few months, Google’s ad technology team went to each of our clients and told them that, regardless of how much they liked working with AppNexus, they would have to also use Google’s ad technology products to continue buying YouTube. This is the definition of bundling, and we had no recourse. Even WPP, our largest customer and largest investors, had no choice but to start using Google’s technology. AppNexus growth slowed, and we were forced to lay off 100 employees in 2016.”

Everyone Else

Every moderately large platform like eBay, Etsy, Zillow, TripAdvisor or the above sorts of companies runs into these sorts of issues with changing distribution & how they charge for distribution.

Building Anti-fragility Into Your Business Model

Growing as fast as you can until the economy craters or an algorithm clips you almost guarantees a hard fall along with an inability to deal with it.

Markets ebb and flow. And that would be true even if the above algorithmic platforms did not make large, sudden shifts.

Build Optionality Into Your Business Model

If your business primarily relies on publishing your own websites or you have a mix of a few clients and your own sites then you have a bit more optionality to your approach in dealing with updates.

Even if you only have one site and your business goes to crap maybe you at least temporarily take on a few more consulting clients or do other gig work to make ends meet.

Focus on What is Working

If you have a number of websites you can pour more resources into whatever sites reacted positively to the update while (at least temporarily) ignoring any site that was burned to a crisp.

Ignore the Dead Projects

The holding cost of many websites is close to zero unless they use proprietary and complex content management systems. Waiting out a penalty until you run out of obvious improvements on your winning sites is not a bad strategy. Plus, if you think the burned site is going to be perpetually burned to a crisp (alternative health anyone?) then you could sell links off it or generate other alternative revenue streams not directly reliant on search rankings.

Build a Cushion

If you have cash savings maybe you guy out and buy some websites or domain names from other people who are scared of the volatility or got clipped for issues you think you could easily fix.

When the tide goes out debt leverage limits your optionality. Savings gives you optionality. Having slack in your schedule also gives you optionality.

The person with a lot of experience & savings would love to see highly volatile search markets because those will wash out some of the competition, curtail investments from existing players, and make other potential competitors more hesitant to enter the market.

via Managing Algorithmic Volatility

 

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