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The Current State of Google’s Search Generative Experience [What It Means for SEO in 2024]

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Search


By Tinuiti Team

SEO enthusiasts, known for naming algorithm updates after animals and embracing melodrama, find themselves in a landscape where the “adapt or die” mantra prevails. So when Google announced the launch of its Search Generative Experience (SGE) in May of 2023 at Google/IO, you can imagine the reaction was immense.

Although SGE has the potential to be a truly transformative force in the landscape, we’re still waiting for SGE to move out of the Google Labs Sandbox and integrate into standard search results. 

Curious about our current take on SGE and its potential impact on SEO in the future? Read on for more.

Decoding Google’s Defensive Move

In response to potential threats from competitors like ChatGPT, Bing, TikTok, Reddit, and Amazon, Google introduced SGE as a defensive maneuver. However, its initial beta release raised questions about its readiness and global deployment.

ChatGPT provided an existential threat that had the potential to eat into Google’s market share. When Bing started incorporating it into its search results, it was one of the most significant wins for Bing in a decade. In combination with threats from TikTok, Reddit, and Amazon, we see a more fractured search landscape less dominated by Google. Upon its launch, the expectation was that Google would push its SGE solution globally, impact most queries, and massively shake up organic search results and strategies to improve organic visibility.

Now, industry leaders are starting to question if Google is better off leaving SGE in the testing ground in Google labs. According to Google’s recent update, it appears that SGE will remain an opt-in experience in Google Labs (for at least the short term). If SGE was released, there could be a fundamental reset in understanding SEO. Everything from organic traffic to optimization tactics to tracking tools would need adjustments for the new experience. Therefore, the prospect of SGE staying in Google Labs is comforting if not entirely reliable. 

The ever-present option is that Google can change its mind at any point and push SGE out broadly as part of its standard search experience. For this reason, we see value in learning from our observations with SGE and continuing to stay on top of the experience.

SGE User Experience and Operational Challenges

If you’ve signed up for search labs and have been experimenting with SGE for a while, you know firsthand there are various issues that Google should address before rolling it out broadly to the public.

At a high level, these issues fall into two broad categories including user experience issues and operational issues.

Below are some significant issues we’ve come across, with Google making notable progress in addressing certain ones, while others still require improvement:

  • Load time – Too many AI-generated answers take longer to load than a user is willing to wait. Google recommends less than a 3-second load time to meet expectations. They’ll need to figure out how to consistently return results quickly if they want to see a higher adoption rate.
  • Layout – The SGE layout is massive. We believe any major rollout will be more streamlined to make it a less intrusive experience for users and allow more visibility for ads, and if we’re lucky, organic results. Unfortunately, there is still a decent chance that organic results will move below the fold, especially on mobile devices. Recently, Google has incorporated more results where users are prompted to generate the AI result if they’d like to see it. The hope is Google makes this the default in the event of a broad rollout where users can generate an AI result if they want one instead of assuming that’s what a user would like to see. 
  • Redundancy – The AI result duplicates features from the map pack and quick answer results. 
  • Attribution – Due to user feedback, Google includes sources on several of their AI-powered overviews where you can see relevant web pages if there is an arrow next to the result. Currently, the best way to appear as one of these relevant pages is to be one of the top-ranked results, which is convenient from an optimization standpoint. Changes to how attribution and sourcing are handled could heavily impact organic strategies. 

On the operational side, Google also faces significant hurdles to making SGE a viable product for its traditional search product. The biggest obstacle appears to be making the cost associated with the technology worth the business outcomes it provides. If this was a necessary investment to maintain market share, Google might be willing to eat the cost, but if their current position is relatively stable, Google doesn’t have much of an incentive to take on the additional cost burden of heavily leveraging generative AI while also presumably taking a hit to their ad revenue. Especially since slow user adoption doesn’t indicate this is something users are demanding at the moment.

While the current experience of SGE is including ads above the generative results now, the earliest iterations didn’t heavily feature sponsored ads. While they are now included, the current SGE layout would still significantly disrupt the ad experience we’re used to. During the Google I/O announcement, they made a statement to reassure advertisers they would be mindful of maintaining a distinct ad experience in search.  

“In this new generative experience, Search ads will continue to appear in dedicated ad slots throughout the page. And we’ll continue to uphold our commitment to ads transparency and making sure ads are distinguishable from organic search results” – Elizabeth Reid, VP, Search at Google

Google is trying to thread a delicate needle here of staying on the cutting edge with their search features, while trying not to upset their advertisers and needlessly hinder their own revenue stream. Roger Montti details more of the operational issues in a recent article digging into the surprising reasons SGE is stuck in Google Labs.

He lists three big problems that need to be solved before SGE will be integrated into the foreground of search:

  1. Large Language Models being inadequate as an information retrieval system
  2. The inefficiency and cost of transformer architecture
  3. Hallucinating (providing inaccurate answers)

Until SGE provides more user value and checks more boxes on the business sense side, the traditional search experience is here to stay. Unfortunately, we don’t know when or if Google will ever feel confident they’ve addressed all of these concerns, so we’ll need to stay prepared for change.

Experts Chime in on Search Generative Experience

Our team has been actively engaging with SGE, here’s a closer look at their thoughts and opinions on the experience so far:

“With SGE still in its early stages, I’ve noticed consistent changes in how the generative results are produced and weaved naturally into the SERPs. Because of this, I feel it is imperative to stay on top of these on-going changes to ensure we can continue to educate our clients on what to expect when SGE is officially incorporated into our everyday lives. Although an official launch date is currently unknown, I believe proactively testing various prompt types and recording our learnings is important to prepare our clients for this next evolution of Google search.”

– Jon Pagano, SEO Sr. Specialist at Tinuiti

“It’s been exciting to watch SGE grow through different variations over the last year, but like other AI solutions its potential still outweighs its functionality and usefulness. What’s interesting to see is that SGE doesn’t just cite its sources of information, but also provides an enhanced preview of each webpage referenced. This presents a unique organic opportunity where previously untouchable top 10 rankings are far more accessible to the average website. Time will tell what the top ranking factors for SGE are, but verifiable content with strong E-E-A-T signals will be imperative.”

–Kate Fischer, SEO Specialist at Tinuiti

“Traditionally, AI tools were very good at analytical tasks. With the rise of ChatGPT, users can have long-form, multi-question conversations not yet available in search results. When, not if, released, Google’s Generative Experience will transform how we view AI and search. Because there are so many unknowns, some of the most impactful ways we prepare our clients are to discover and develop SEO strategies that AI tools can’t directly disrupt, like mid to low funnel content.”

– Brandon Miller, SEO Specialist at Tinuiti

“SGE is going to make a huge impact on the ecommerce industry by changing the way users interact with the search results. Improved shopping experience will allow users to compare products, price match, and read reviews in order to make it quicker and easier for a user to find the best deals and purchase. Although this leads to more competitive results, it also improves organic visibility and expands our product reach. It is more important than ever to ensure all elements of a page are uniquely and specifically optimized for search. With the SGE updates expected to continue to impact search results, the best way to stay ahead is by focusing on strong user focused content and detailed product page optimizations.” 

– Kellie Daley, SEO Sr. Specialist at Tinuiti

Navigating the Clash of Trends

One of the most interesting aspects of the generative AI trend in search is that it appears to be in direct opposition to other recent trends.

One of the ways Google has historically evaluated the efficacy of its search ranking systems is through the manual review of quality raters. In their quality rater guidelines, raters were instructed to review for things like expertise, authority, and trustworthiness (EAT) in results to determine if Google results are providing users the information they deserve. 

In 2022, Google updated their search guidelines to include another ‘e’ in the form of experience (EEAT). In their words, Google wanted to better assess if the content a user was consuming was created by someone with, “a degree of experience, such as with actual use of a product, having actually visited a place or communicating what a person has experienced. There are some situations where really what you value most is content produced by someone who has firsthand, life experience on the topic at hand.” 

Generative AI results, while cutting-edge technology and wildly impressive in some cases, stand in direct opposition to the principles of E-E-A-T. That’s not to say that there’s no room for both in search, but Google will have to determine what it thinks users value more between these competing trends. The slow adoption of SGE could be an indication that a preference for human experience, expertise, authority, and trust is winning round one in this fight. 

Along these lines, Google is also diversifying its search results to cater to the format in which users get their information. This takes the form of their Perspectives Filter. Also announced at Google I/O 2023, the perspectives filter incorporates more video, image, and discussion board posts from places like TikTok, YouTube, Reddit, and Quora. Once again, this trend shows the emphasis and value searchers place on experience and perspective. Users value individual experience over the impersonal conveyance of information. AI will never have these two things, even if it can provide a convincing imitation.

The current iteration of SGE seems to go too far in dismissing these trends in favor of generative AI. It’s an interesting challenge Google faces. If they don’t determine the prevailing trend correctly, veering too far in one direction can push more market share to ChatGPT or platforms like YouTube and TikTok.

Final Thoughts

The range of outcomes remains broad and fascinating for SGE. We can see this developing in different ways, and prognostication offers little value, but it’s invaluable to know the potential outcomes and prepare for as many of them as possible.

It’s critical that you or your search agency be interacting and experimenting with SGE because:

  • The format and results will most likely continue to see significant changes
  • This space moves quickly and it’s easy to fall behind
  • Google may fix all of the issues with SGE and decide to push it live, changing the landscape of search overnight
  • SGE experiments could inform other AI elements incorporated into the search experience

Ultimately, optimizing for the specific SGE experience we see now is less important because we know it will inevitably continue changing. We see more value in recognizing the trends and problems Google is trying to solve with this technology. With how quickly this space moves, any specifics mentioned in this article could be outdated in a week. That’s why focusing on intention and process is important at this stage of the game.

By understanding the future needs and wants SGE is attempting to address, we can help you future-proof your search strategies as much as possible. To some extent we’re always at the whims of the algorithm, but by maintaining a user-centric approach, you can make your customers happy, regardless of how they find you.

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Profit More, Work Less: 4 Steps to Niching Down For Your Agency

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Profit More, Work Less: 4 Steps to Niching Down For Your Agency

Profit More Work Less 4 Steps to Niching Down For

Ever wonder what the most successful agencies did differently than everyone else?

Was it luck, skill, hard work, the industry they chose, or something else?

Through my consulting work at Revenue Boost, I’ve worked with and taught over 400+ agencies how to scale their business.

From this, I’ve seen consistent patterns & traits in the ones who grow effortlessly…

Versus the ones who stay stuck for years – no matter how hard they work.

One key difference in approach stuck out to me.

I’ll illustrate what this one difference was with a story.

Once upon a time…

Two marketers graduated from business school with big plans to start their own agency. 

Ready to conquer the world, they started cold calling, cold emailing, and doing everything under the sun to get clients.

And although they had the SAME levels of work ethic and talent…

One of them now has an 8-figure agency.

The other one of them is still freelancing odd jobs, barely making ends meet.

What did the successful one do differently?

He took a big risk and started turning down clients and projects.

Instead of offering everything to everyone, like most agency owners…

And being a jack of all trades but a master of none…

He decided only to serve Plumbers and be the best dang’ plumbing marketer on the planet.

With a goal to make their pipeline fuller than a broken toilet pipe.

1716128762 859 Profit More Work Less 4 Steps to Niching Down For1716128762 859 Profit More Work Less 4 Steps to Niching Down For

He mastered the art of niching down and realized it would be easier to be the biggest fish in a small pond.

And you should too – and in this article, you’ll learn exactly how to define your own niche.

Now it may seem scary to turn down clients…and it may feel like you’re limiting yourself by focusing on only one client-type.

But it’s exactly the opposite. You’re actually limiting yourself by being everything for everybody.

Niching Down Can Help 2x-3x Your Revenues

One of my clients Lauren ran a digital agency offering everything under the sun.

Social media, paid ads, web dev, SEO, and she offered it to clients from many different industries.

Because of this, her agency stayed stuck at $25,000 a month and she couldn’t break through.

On top of that, she and her team worked so much harder than they had to and operations were messy.

Every client needed different things, required customization, and nothing was standardized.

We sat together to audit all her past clients, and we found that Medical practices were her best clients.

They were easy to sell, stayed the longest, and gave her the least amount of headaches and complaints.

So, she changed her entire business model to ONLY service this industry.

Then, she developed a standardized offer for that industry, rather than customizing everything.

One offer, to one target market. Afterwards, she started cold emailing businesses in her niche with her new offer.

The Results?

 She 2X’d her revenues and grew to $52,000 in monthly revenue in not even four months time.

All from making one simple shift. One decision that can make everything easier, and you can do the same.

See, most agency owners and marketers start out with one or two clients, and then they get referred new clients from various industries.

Before they know it, they’re marketing everything for everyone and have NO idea who their ideal client is.

The Problem with Running a Business This Way Is That It Becomes Impossible to Scale.

Every single new client requires a ton of research, thought, and brainpower.

1716128762 609 Profit More Work Less 4 Steps to Niching Down For1716128762 609 Profit More Work Less 4 Steps to Niching Down For

Because each new client has different needs, it leads to having no standardized processes and systems.

Which keeps the founder stuck in the business and unable to hire a team.

The other problem that arises is acquisition.

There are hundreds of thousands of agencies on the planet, and it’s really hard to stand out.

UNLESS you specialize.

When you specialize in a niche – let’s say, SEO for plumbers…

Then you aren’t competing with every other agency on the planet. You don’t look and sound just like them anymore.

Now, you’ve created your own tiny pond in which you can be a big fish.

There are way fewer agencies that specialize in plumbers or SEO, let alone both. So, you’ve eliminated the competition with one decision.

If a plumber was looking at two agencies – one that was a general digital agency and one that specializes in helping plumbers…

They almost always choose the agency that specializes in their industry and has testimonials from people just like them.

Not to mention, it’s easier to market when you have a clear niche in mind.

You know who you’re writing your content for…

You know who to send emails and social media DMs too…

You know exactly who to target in your ads….

You know what podcasts you should get booked on

And so on and so on.

Plus, you can charge whatever prices you want. Because you aren’t compared to the hundreds of thousands of agencies out there – you have a unique offer now.

Committing to one niche makes marketing easier, it makes selling easier, and it makes scaling easier.

You only have to be good at doing 1 thing for 1 person, and you can build systems and processes around it. This way, you can hire a team to take it over and be able to work less.

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Now how do you do it? What if you don’t know who your ideal client is?

Step 1: Audit Your Current + Past Client List.

Write down every single client you’ve ever served, and group them by niche. Industry, location, size and so on.

Once you group them together, one niche might stick out for you already as your favorite type of client.

If it doesn’t, use my 7-Point checklist and rank each niche on a 1-5 scale.

These 7 criteria points are what makes a great niche.

#1 – Total Addressable Market:

How many businesses are in this market? Is it large enough to support your bigger goals? Is the market shrinking or growing? Make sure the niche is big enough for you and that it’s not declining.

#2 – Purchasing Power

Is this market (or at least a segment of it) able to afford what you want to charge?

Think back to if you’ve received a lot of pricing objections when you’ve sold to these people in the past.

#3 – Lifetime Value

How long did these clients stay? Were they one-and-done projects or did they stay with me for eternity?

The bigger the life-time value, the more money and time you can spend to acquire a client.

If the niche typically churns in a few months or only works with you for quick, one-off projects…

Then you’ll have to spend so much energy on sales and marketing to keep the business alive.

#4 – Strong Need & Pain

Does this market have an important problem to solve, one that they have to fix? Or, is what you sell just a “nice to have”?

If the latter, it’s going to be very hard to get clients.

If they can’t live without your solution, then getting clients will be a breeze.

#5 – Desire to Solve that Pain

It’s one thing for a market to have a problem, but they must also have a desire to solve that problem.

Even if they have the need that you fulfill, that’s not enough – they also have to care about fulfilling that need.

#6 – Easy to Reach

Is the market fairly easy to find online? Can you reach them via most advertising platforms and social channels? Are their groups and communities online?

If you’re targeting businesses that are hard to reach online, you’re creating one extra barrier to your success.

Step 2: Choose 1 Niche After Ranking Each of Your Past Clients.

1716128763 995 Profit More Work Less 4 Steps to Niching Down For1716128763 995 Profit More Work Less 4 Steps to Niching Down For

Tally up all the rankings and pick the 1 with the highest score.

Don’t worry about making the wrong decision.

Consider this an experiment.

You aren’t married to your new niche, you can always change back in a few months if it doesn’t work out.

Step 3: Create a Pre-Packaged Offer for Your New Niche

The whole point of niching down is to create more focus and simplicity in your business

Part of this is about WHO you sell, part of this is about WHAT you sell them.

Start out by choosing 1 problem to solve for them, and 1 solution to that problem.

List out what the deliverables will be and what you want to charge.

Keep it simple! You can build upon this later.

Step 4: Test the Waters and Go Land 5 New Clients.

Before you make any drastic changes to your business, such as letting go of clients, changing your branding and website…

Test the waters first, and verify if this new niche is the direction you want to go.

Go land another 5 clients or so, and that’ll be enough to identify if these are really our ideal clients or not.

You might think they are at first but you’ll know for sure once you serve more of them.

Wrapping Up…

You know now the problems of being a jack-of-all-trades with no clear focus.

Every new client is a ton of work and requires customization…

And getting new clients is difficult because there’s nothing that stands out about your agency. You’ll look and sound like everyone else.

This means when you do niche down, and sell 1 offer to 1 target market…

Your workload will decrease. Each new client will be easier to serve than the previous one.

You’ll become world-class at helping your clients from all the focused repetition

You’ll quickly develop a reputation and become a big fish in a small pond.

In every way, it’ll become easier to grow, scale, attract, and retain clients.

Plus, you’ll have more fun and the business will be simpler & easier to run.

And with this knowledge…

You’ve learned the 5 simple steps to niching down.

So…

Time to get to work!

Put this into practice and watch it transform your business.


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Unlocking AMC Insights Series: Leveraging Media Overlap Analysis for Enhanced Conversions

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AMC Media Mix

Amazon


By Tinuiti Team

In today’s data-driven marketing landscape, the ability to ask the right questions is paramount. Amazon Marketing Cloud (AMC) emerges as the magic 8-ball of advertising solutions, offering advertisers a robust platform for precise analytics and strategic decision-making. If you’re new to AMC, it’s a secure, privacy-friendly, dedicated cloud-based measurement and analytics solution introduced in 2021.

Understanding the Value of Amazon Marketing Cloud

Built on Amazon Web Services (AWS), AMC provides a flexible environment that empowers advertisers with customizable reporting capabilities based on event-level data across various data sets. These data sets can encompass both advertiser data and Amazon Advertising data, granting advertisers a comprehensive view of campaign performance. In essence, AMC equips advertisers with transparent, cross-channel data essential for making informed marketing decisions, a necessity in today’s marketing landscape.

For a comprehensive understanding of AMC basics, Tinuiti’s AMC overview provides all the essential information about the Amazon Marketing Cloud.

This article marks the first of a 3-part series where we dive into specific AMC use cases. In this installment, we focus on the Media Overlap analysis, guiding you through utilizing this report to address critical business questions, pinpoint key metrics, and strategically apply derived insights.

What is the Media Overlap Analysis? 

The Media Overlap analysis determines the collective impact of Amazon ads and isolates the incremental impact of a specific media type. The metrics provided by this report analyze reach and performance across a full-funnel strategy, including DSP Display, Streaming TV, and Sponsored Ads. 

To utilize this report, it is required to have data from at least two of the aforementioned ad types in a single AMC instance. The same products must be advertised in each ad type, and each ad product must have been running for at least one week during the same time period. It is recommended to wait 14 days after the query’s end date to use this analysis to capture all conversions due to Amazon’s 14-day attribution window. This use case is designed to help answer business questions surrounding how to best leverage the array of Amazon Ad products.

Here are a few examples of the types of questions the Media Overlap analysis addresses:

  • When shoppers are exposed to any combination of Display, Streaming TV, Sponsored Ads, what is the impact on conversion rates?
  • What impact does each ad type have on conversion beyond ROAS or last-touch attribution?
  • What is the average order value when shoppers are exposed to a combination of ad types?

The following metrics tend to be the most useful in addressing the business questions above:

  • Purchase rate: Percentage of unique users who purchased at least one time compared to unique users reached
  • Reach: Number of unique users reached
  • Users that purchased: Number of unique users who purchased at least one time.
  • Purchases: Number of times any amount of a promoted product or products are included in a purchase event. Purchase events include video rentals and new Subscribe & Save subscriptions.
  • Order value: Total amount resulting from a single purchase event

Below is a sample case study used to address the following question: When shoppers are exposed to any combination of Display, Streaming TV, Sponsored Ads, what is the impact on conversion rates?

Here is an example of a what a finalized report looks like: 

Top 7 Media Type Mixes based on Purchase Volume (CE Advertiser) 

Unlocking AMC Insights Series Leveraging Media Overlap Analysis for Enhanced

To answer the original question, the key metric to review here is the Prospective Purchase Rate (PPR). When exposed to fewer than three ad types, the PPR is significantly lower. However, when exposed to three or more ad types, the PPR increases. For users who were exposed to Sponsored Display (SD), Sponsored Products (SP), Demand Side Platform (DSP), and Sponsored Brands (SB) ads, the PPR was 8.19%, demonstrating the correlation between the number of ad types shoppers were exposed to and an increased Prospective Purchase Rate.

As a result of these findings, two prominent potential opportunities to improve performance emerge:

  1. Continuing to invest, or increasing investments, in DSP and video as they are key drivers in a user’s path to conversion. The advertiser should diversify their media mix with these ad products.
  2. Due to the correlation between Sponsored Products ads in combination with other ad products and higher conversion rates, there is an additional opportunity to build an AMC audience retargeting SP clickers. This will ensure advertisers are capitalizing on shoppers moving through the lower to upper funnel in their shopping journey.

AMC’s Media Overlap Analysis: Key Takeaways and Next Steps for Enhanced Conversions

AMC’s Media Overlap analysis highlights the impact of middle and upper funnel ads on conversion rates. Tinuiti’s teams observe many brands prioritizing Sponsored Products due to their perceived low risk and high returns under Amazon’s last-touch attribution model. However, this approach overlooks the influence of other ad types. Data from this analysis underscores the effectiveness of a holistic strategy. While a Sponsored Products ad may lead to a sale, it doesn’t consider other ad exposures that shape purchase decisions. The Overlap analysis underscores the value of a full-funnel strategy and the impact of DSP media on overall performance. Advertisers should consider adjusting budget allocations to DSP and streaming video based on these insights.

Furthermore, a full-funnel strategy can drive higher average order value.

The average order value significantly increases when exposed to a media mix of three or more ad types. While each advertiser should analyze their own business, Tinuiti consistently observes that users exposed to a greater number of ad products typically correlate with higher conversion rates and higher order values.

The Media Overlap analysis is part of the Instructional Query Library (IQL), which offers pre-built templates by Amazon to get started with the basics. If you’re seeking deeper insights with the guidance of experts who understand AMC’s unique landscape, reach out to Tinuiti today.

Liked this article? Don’t miss Part 2 of our AMC use case series on Tinuiti’s blog next month!

This post was authored by Averie Lynch, Specialist of Strategic Services at Tinuiti.

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Introducing Variation Generator for Web Experimentation

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Introducing Variation Generator for Web Experimentation

If you attended Opticon ’23, you saw first-hand how Optimizely has been investing in AI. Optimizely introduced Opal, an AI assistant designed to accelerate the entire marketing lifecycle. Opal is ever-present across Optimizely One, providing generative AI, smart insights, and recommendations to transform how our customers create, test and personalize digital experiences.

Now, our latest AI capability is here: Variation Generator. Available for all Web Experimentation customers, Variation Generator helps experiment authors expedite the ideation and creation of test variations.

What does it do?

Variation Generator leverages generative artificial intelligence to create a list of phrasing suggestions based on a site’s text elements like headlines, product descriptions, or call-to-action (CTA) wording, ultimately making it easier and faster for experimenters to plan multiple variations for their tests, which can be quite time-consuming.

Who is it for?

Based on our research, around 30% of experiments include text changes. So, experiment authors like optimization managers or digital marketers are spending a lot of time ideating/brainstorming multiple versions of the original copy to decide which should be tested. Variation Generator empowers users to add more variations in an experiment, which we strongly suggest after our Experimentation Benchmark research found that experiments with more variations (4+) tend to see higher win rates and return higher uplifts on the metrics tracked.

Cool…but generative AI is popping up everywhere, why does it matter here?

  1. Directly embedded into our UI: No separate tools or tabs to click out to…No typing out a prompt to a chatbot…just click the text element you want suggestions for, and click “generate.” All interaction stays within our Visual Editor.
  2. Reduce time and effort in variation ideation: Shorten the time it takes to come up with new experiment variations, allowing experiment authors to get more time back into their day.
  3. Optimize each variation in an experiment: Variation Generator provides unbiased and creative alternatives to experiment authors so they can make sure that each variation is different enough to avoid duplicative messaging, yet effective enough captures visitors’ attention.
  4. Increase a test’s chances of winning: Our Benchmark research shows that experiments with 4+ variations are ~90% more likely to win than experiments with just 2 variations. Variation Generator helps experiment authors create more variations, leading to higher lifts.
  5. Fine-tune brand positioning: Improve existing headlines, product descriptions, CTA buttons, and more, ensuring a consistent and impactful brand message across digital properties.

Increase a test’s chances of winning

This outcome is important enough to highlight a second time. Mentioned earlier, we know from our Experimentation Benchmark research that tests with more variations (4+) are more likely to produce a winning (statistically significant) result versus a traditional A/B test that pits a baseline (original version) against a single variation. Variation Generator can help experiment authors get into the habit of testing more variations and producing more winning results.

Future enhancements

Optimizely is committed to continuous innovation and improvement. Potential enhancements for Variation Generator include generating suggestions for other content types like images, icons, HTML, and CSS, as well as giving users more control over output fine-tuning, such as adjusting length, tone, and other fields.

At the end of the day…

Optimizely’s Variation Generator is a simple yet powerful feature that empowers experiment authors to create more effective and winning experiments. By harnessing the power of artificial intelligence, this feature saves time, optimizes variations, and fine-tunes brand positioning, ultimately leading to better results, stronger brand presence, and an effortless workflow.

Want more info? If you’re an existing customer, ask your account manager about Variation Generator, and if you’re a future customer, contact us to learn more.

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