5 Digital Marketing Trends to Impact Affiliates in the 2020s

The 2010’s were filled with emerging technological trends that forever altered affiliate marketing’s identity.

New social platforms like Instagram were introduced, cellphones transformed into super computers, and video streaming put a stranglehold on content consumption.

As we enter the ‘20’s, new and roaring trends will inevitably change the industry’s landscape yet again.

We think the following are the most likely to cause affiliates to adapt, re-think, and flourish over the course of the next decade.

Honorable Mentions:

  • Live Video
  • Increased online restrictions (eg. GDPR)
  • Conversational marketing

Voice Search Vibes

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It’s estimated that in 2020, 50% of all online search queries will be initiated by voice search technology. That increase can be at least partially attributed to the rise in popularity of smart speaker devices like the Google Home and Amazon’s Alexa.

This shift is significant because voice searches and text searches are different in nature.  People don’t say the same combinations of words out loud that they would type into a search engine. 

For example, let’s say you wanted to find the topic of this post.

If you were to use traditional text search, you’d likely type something like:

 “Digital Marketing Online Trends 2020”.

You’re trying to include important information in a concise manner.

If you were to use voice search, you’d instead say something similar to:

“Okay Google/Alexa, what are the top digital trends affecting affiliate marketing in 2020?”

Notice how the text search focuses on a few keywords and the voice search is conversational. It’s also formed as a question.

The two are completely different phrases and thus can return completely different search results.

The shift towards voice search means many of the traditional rules and guidelines of SEO and content marketing are in danger of becoming ineffective. Rather than just trying to match specific keywords, affiliates using SEO must now be mindful of positioning content as an answer to a question to optimize for voice search.

All evidence suggests that this trend will continue to grow, and if so, there’s going to be a substantial shift in search ranking ideologies in the 2020s.

Native Rules the World

nativeIn 2019, nearly $44 billion was spent on native advertisements in the United States alone. which is a nearly 25% increase over how much was spent in 2018. Next year, it’s expected that 2/3 of advertisers’ display budgets will be allocated to some form of native advertising.

Its popularity is understandable. It accomplishes the difficult task of making advertisements non-disruptive.

It only makes sense that users are more likely to click on an advertisement when it’s integrated into the content they’re consuming.

Native advertising’s continued growth is also propelled by the fact that it takes many forms.

In-feed display ads, promoted listings, and even video content can all feature engagement-boosting native characteristics. 

The concept of native advertising presents the challenge of finding new and creative ways to blur the lines between advertising and content. If overcoming that challenge continues to provide a lucrative return for advertisers, native ads will keep evolving as an ultra-effective digital marketing strategy. 

The Influence of Influencers 

influencer

At its core, influencer marketing is affiliate marketing.

Affiliates, specifically those who utilize non-paid traffic sources like large social followings, have the exact same purpose as influencers.

For example, an affiliate who uses a large Instagram following to promote campaigns is accomplishing the same thing as a “traditional” Instagram influencer. They’re monetizing their platform and fan base.

There’s a lot of evidence that supports the idea that influencer marketing is simply more effective at engaging users than many other marketing methods. For instance, this study concluded that the method generates as much as 11x the ROI of a traditional banner ad.

Influencers are successful because they’re able to build a trusting, authentic relationship between themselves and others. That trust then translates to business.

In the eye of the follower, the product or service that the people they’re following are promoting is more essential than it would be otherwise. 

For affiliates, promoting campaigns in this fashion may become a more appealing option over other traffic sources, especially long-term.

The one caveat is that accumulating a large enough user base to monetize takes a significant amount of time and work. However, if achieved, the long-term gains can rival any traffic source. 

We may also see affiliate networks taking more of an initiative to reach out to influencers to work as their affiliates.

Working with networks offers benefits for influencers that don’t exist when working directly with brands. Therefore, it presents a partnership opportunity where both can prosper from each other. 

Programmatic Advertising and AI

AI

Earlier we mentioned how smart speaker devices are becoming common household items, affecting the way people use search engines. That’s just one-way artificial intelligence and automation are impacting digital marketing, and it doesn’t even scratch the surface of what we might see this decade. 

Perhaps the biggest AI-related trend that could change the way affiliates promote campaigns is programmatic advertising.

Programmatic advertising refers to ad placement and targeting strategies that are determined by automated software or algorithms.

Both Google and Facebook Ads have already implemented programmatic advertising functionality such as their Multiple Text Optimization feature. This allows advertisers to have a variety of ad creatives automatically targeted towards users who are most likely to engage with that combination of elements.

In its purest form, it’s part of an ongoing shift in control from human to machine in determining what works and what doesn’t online. The more successful the latter is at generating leads and sales, the more you can expect it to be the chosen strategy of advertisers.  

The fact that this trend has just recently become visible on larger advertising platforms is another sign that it may be poised to make a significant impact over the next decade. More features and functions are sure to be explored. That means we’re likely about to see just how effective AI advertising can be at giving companies, advertisers, and consumers exactly what they want.

Mobile’s (Continued) Takeover

mobile

It’s not new, but it’s also not ending.

Internet user’s migrating from desktop to mobile was more influential than any other technological trend in the 2010’s.

Think about this: Daily media consumption on mobile devices have grown 504% since 2011. The way people surf the web, e-mail, and used social media completely changed, and with it so did affiliate marketing.

Mobile traffic grew exponentially and app campaigns became lucrative promotion options for affiliates. 

What’s even more remarkable is how there’s little sign of stagnation in the rise of mobile usage. It’s expected that by 2023,7.33 billion people will own a mobile device. From app expenditure to video traffic, more people are spending more time on their phones doing more things. 

Even after a decade of growth in every capacity, mobile is poised to continue to eat away at desktop’s already shrinking relevance.

Just as it did last decade, performance/affiliate marketing will need to further adapt to the seemingly endless shift in how users spend their time online. Fortunately, networks, affiliates, and advertisers have always flourished when presented with that challenge. 

 

Have a different online trend that you think will impact affiliate marketing this decade? Let us know in the comments below: 

The post 5 Digital Marketing Trends to Impact Affiliates in the 2020s appeared first on MaxBounty Blog.

Facebook’s Multiple Text Optimization Continues AI Trend in Affiliate Marketing

The presence of automation and artificial intelligence in digital marketing is becoming increasingly evident.

It’s easy to see why.

Online advertisers are always looking for new ways to optimize their campaigns and companies like Google and Facebook are more than happy to oblige. All parties – company, advertiser, and consumer – ultimately win when an ad can quickly find the right audience.

Facebook Ads’ new Multiple Text Optimization feature sets out to accomplish that exact goal.

Advertisers can now list multiple ad-text variants and Facebook’s algorithms will automatically determine which combinations are most effective at engaging specific users. You can create multiple versions of copy, headlines, and descriptions and give them to Facebook to pull and test.

It’s similar to Google’s Responsive Ads feature that they integrated into their own platform last year.

How it works

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You, the advertiser, simply create your text variants under the Dynamic Creative category in the Facebook ads platform. Facebook then does the rest by optimizing combinations of those elements and delivering them to the audience most likely to engage.

How’s that determined? By a series of granular metrics.

Think of it as built-in automatic multivariate testing which is another form of split-testing.

This makes the feature a form of machine learning and it’s accomplished by Facebook combining data and signals from their platform with your own insights that you share.

Something you should be aware of is that your ad spend will need to be significant for Facebook to be able to properly test each element. If you have three headlines you want optimized, it’s going to cost you more to see results from this feature than if you only had two.

Why you should care

To better understand why this feature could be beneficial, think of how much time you and other affiliates normally spend on testing different ad elements.

This is a prime example of how machine-learning and digital marketing is a match made in heaven if the technology in place is effective. It can help you determine the most effective strategy and it can get you to that conclusion sooner than you would have otherwise.

It should also help you development a better idea of what to write for your ads’ headlines and other copy in the future. The insights you gain from this feature will accelerate the process of figuring out what works and what doesn’t long-term.

Facebook had this to say regarding the feature:

“By leveraging machine learning to dynamically select ad formats, creative and text at the ad impression-level based on what might work best for the individual in question, we can improve advertiser performance and the consumer experience.”

You can read more about their objective with MTO (multiple text optimization) here. 

What it Means

Advertising platforms are understandably using AI to try and improve their service as are networks, MaxBounty included, and tracking platforms. It’s not exactly a new idea. The intriguing part is that we don’t know just how large its presence may become.

There’s never been a magic money-making recipe for advertising, digital or otherwise. Determining what’s going to drive people to generate a lead or make a purchase usually requires an element of guesswork. The more machine-learning technology can minimize that guesswork, the more effective the advertising.

This may only be the beginning of a potentially long-term trend that could impact the way affiliates use several traffic sources.

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