For years, artificial intelligence has been influencing conversion rate optimization (CRO).
Chatbots were among the first applications. When Amtrak announced that its 2016 income from customers interacting with its chatbot had increased by 30%, it made news.
However, chatbots are only one aspect of the current convergence of AI, machine learning, and CRO.
This is what’s happening:
AI is making CRO techniques that formerly needed enormous amounts of resources, data, and traffic more accessible, such as multivariate A/B testing and predictive modeling.
If CRO is similar to patching a leaking bucket, then incorporating artificial intelligence into the process is similar to having a machine test dozens of different approaches to each hole—while conducting simulations that aid in the initial bucket design.
The optimization of conversion rates has been radically altered by AI. My innovative AI-powered CRO approach, which produces an average conversion increase of 193%, allows me to personally witness this.
Artificial Intelligence’s Effects On CRO
Launching your campaign, evaluating its success, and then conducting A/B testing to further optimize is the standard procedure in classic CRO.
Every stage of this process is being altered by AI tools.
Before your campaign even launches, you can test your hypothesis with technologies like AI heatmaps and predictive analytics.
You can quickly create copy that is effective and conversion-focused by using AI copywriting tools.
The actual testing comes next. Faster, more adaptable, and capable of automatically classifying visitors according to characteristics like location and behavior, AI-powered A/B testing solutions may then direct them to the version of the landing page that has the highest conversion rate.
The Operation Of AI Conversion Rate Optimization
Strategy, research, data collecting, analysis, testing, and optimization are the main components of traditional conversion rate optimization.
To see how AI fits into the CRO process, let’s go over each stage again.
Conversion Rate Optimization With AI
Methodology
Business objectives dictate strategy, and AI cannot assist with these. Increasing your conversion rate may be the only goal of your CRO approach.
Additionally, some CRO methods concentrate on boosting average order value, acquiring better-fit clients, optimizing traffic, or lowering customer acquisition expenses.
This is where AI can be useful as you start to get tactical.
Revenue consequences for all of those “what would happen if…?” queries that are frequently asked during high-level strategy sessions are predicted using predictive modeling tools such as Obviously.ai. Understanding the probable results aids in choosing the best course of action.
Another way AI helps CRO is through the creation of customer personas. By automatically generating client personas from Google Analytics data, tools like as Delve.ai expedite this process.
After developing a plan, it’s time to start your research.
Investigate
First, make sure you know why visitors are visiting your website. An offer made for the wrong people won’t go you very far. On-site metrics and analytics data can be useful in this regard.
Second, ensure that no obstacles are preventing users from converting or leading them to leave your material before they have had a chance to read it.
Although there are numerous approaches to this, they always begin with data. Use heatmaps, session records, and autocapture technologies to keep a close eye on user activity. Start logging as much information as you can about your users, such as phone conversations, support emails, and chat logs.
To obtain anecdotal information, ask people about their subjective experiences through surveys, polls, and even one-on-one interviews. Non-intrusive popups can be used by tools such as Qualaroo to collect user input while users are on a relevant page.
However, what do you do with all of this information? AI can help with it.
Examination
AI is significantly more adept than humans at processing data.
For example, more than 30 million websites use Google Analytics. To help you make sense of the vast quantity of data being recorded, Google Analytics comes with an integrated AI-powered insights tool that highlights trends in website performance.
More sophisticated analytics systems employ a technique known as “autocapture,” which records each contact on your website and helps you identify areas where conversions are declining.
Platforms for digital experience intelligence, such as FullStory, record everything that occurs and then turn the vast amount of data into useful knowledge.
Surveys, reviews, chat logs, and social media are just a few of the subjective consumer feedback sources that sentiment analysis technologies like Keatext can evaluate at scale and turn into actionable insights.
It’s essential to have an analytics solution that generates insights if you want to find out why people are abandoning your website and what barriers they face.
Analytics For Prediction
In the past, developing hypotheses for CRO campaigns required user feedback and interaction data.
These days, however, programs like Attention Insight use artificial intelligence (AI) to mimic how actual people might use your website. AI heatmaps can be created in 60 seconds and are 90% as accurate as human studies by using tens of thousands of image files from eye-tracking research to train machine learning models.
Going one step further, predictive analytics systems forecast the anticipated actions of specific users. Propensity modeling features in tools like Pecan.ai assign each visitor to a distinct class based on how likely they are to convert. Propensity modeling, which is especially effective for upselling and cross-selling campaigns, is based on characteristics such as behavior, gender, income, work position, and location.
Customization
For more than ten years, personalization has been a popular term in marketing. However, for years, personalization’s useful applications were mostly restricted to small-scale applications like chatbots or adding your initial name to email text (“Hey {name}, here’s 15% off”).
Personalization is finally making a comeback thanks to artificial intelligence.
AI systems can show customers the landing page or dynamic headline that will help them convert based on their demographics or activity, as well as provide special deals to particular user types.
Please.AI uses well-timed, subtly placed popups with tailored suggestions to encourage website visitors to convert. These AI-powered prods can raise average order values by up to 25% and conversion rates by up to 12%.
Using information from consumer quizzes, Octane.ai suggests a customized selection of goods. Age, geography, behavior, and product requirements are examples of zero-party data that Octane can use to improve client relationships and boost revenue and average order value.
Customers can get personalized query recommendations and results from AI-powered website search tools depending on their location, time of day, previous searches, and past purchases. By doing this, they can locate what they’re looking for more quickly and a dynamically-generated search results page is filled with results.
The power of personalization extends beyond e-commerce. Uberflip.com powers online sales engagement with buying intent data and AI content recommendations, generating customized portals for every prospect and bringing in the most successful sales materials and messaging.
Get the fundamentals correct.
Thus far, we have discussed how to queue up activities to test in your CRO campaign using data-driven insights and client feedback.
However, there are also tried-and-true best practices for conversion rate optimization that you should try in whatever campaign you run. During your CRO process, allow yourself to temporarily set aside the analytics, personalization, and AI tools.
After putting the AI tools away, perform a traditional audit. Examine your website in person. Make sure the wording is easy to understand, the call to action is obvious, and the value is appealing. Does the design make sense? Is the copy interesting?
Here are some fundamentals to discuss:
Create
Make your layout simple to use. Users shouldn’t have to guess where to go next. Users should be able to comprehend the page’s purpose, identify the next action you’re requesting, and see the advantages of acting within a few seconds.
Adhere to established design layouts. According to UX research, some layouts—such as an F-shaped layout—are easier to understand. Make use of your layout to draw the user’s attention to the page’s most crucial components.
Make sure your landing pages are free of superfluous distractions. Although it might seem obvious that movies would boost user engagement, numerous CRO studies have demonstrated that text or basic graphics work better than films. Remove it if it isn’t directly advancing the conversion objective.
Verify the speed of your website. Conversion may be hampered by loading time. Users may leave your website before they have had a chance to read your material and comprehend your offer if it isn’t loading quickly enough.
A Copy
Address the issues that your audience is facing. Employ strategies such as price anchoring, gain framing, and loss framing to appropriately frame the advantages of your offer.
Users only read 20–28% of the text on your page, so write language that is easy to scan. Be succinct and straightforward in your communication.
Most consumers scan the rest of your page after reading the headline, subheader, and call to action, according to your heatmaps. Take particular note of these three textual components. You can test many copy variations for each of them with the use of AI copywriting tools.
Conversion
Targeting numerous conversions on a single landing page is one of the cardinal sins of landing pages. Adhere to a single conversion objective that aligns with the intent of your visitors.
One of the most crucial elements of your page is your call to action (CTA). Make sure it is noticeable above the fold and stands out. Make the value of clicking the call to action obvious by using language that is action-oriented.
Make conversion simple. Instead than making users navigate lengthy forms or intricate sign-up procedures, utilize short forms or multi-step forms.
Fear and uncertainty are among the reasons why users do not act. Make every effort to allay their worries.
Conversions can be significantly impacted by social proof, such as reviews and testimonials.
Offering money-back guarantees and free trials reduces the perceived risk of acting.
Put accolades, credentials, and client testimonials front and center to foster trust.
Examining
Your list of CRO strategies to investigate ought to be overflowing by now. There is a lot to discuss, including personalization, customer interviews, and predictive models.
However, you will need to test to confirm which modifications have the most effect.
Conventional A/B testing is ineffective and slow. On top of taking weeks to complete and requiring large amounts of data, they can only test a couple variants at a time and don’t provide any optimization benefits until the test is completed.
Modern A/B testing uses AI to allow you to test more ideas faster while increasing personalization. Tools like ABtesting.ai provide automated suggestions for your headline, copy, and call to action, reducing the time and effort needed to conduct tests.
AI-powered A/B tests require only small amounts of traffic, can test many variables at once, and automatically start showing the better-performing variants during the test. Different versions of a page can be shown to different people based on their behavior, location, and other attributes.
Once you choose a testing tool, it’s time to go through your list of changes and hypotheses and start experimenting.
Begin by making sure you get the fundamentals right—website speed, design, copy, and conversion elements. Take a look at your offer and make sure it’s being framed attractively.
You may not need to measure or A/B test every one of these factors, especially if they’re almost certain to have a positive impact on your conversion rate (as with website speed, for example).
Then, experiment. Review the insights generated from the customer data you’ve collected and adjust your website experience accordingly.
Use real heatmaps or AI heatmaps and figure out which elements of your site users are actually looking at.
Test elements of personalization like dynamic headlines, personalized search and product or article recommendations, and AI-powered nudges and popups.
Follow the data. Don’t get too attached to the changes you’re testing. Let the system decide which variant to show based on performance.
Optimizing With The Power Of AI
AI is revolutionizing the practice of conversion rate optimization.
Instead of waiting until months after launch to optimize your site, you can optimize during development by using AI to simulate how users are likely to behave on your site.
Instead of manually sorting through mountains of user data, you can use AI to crunch data from multiple sources and present insights.
Instead of queuing up multiple weeks-long A/B tests, you can change multiple variables within a single test—and you can trust your AI-powered optimization system to deliver the right version of the landing page to the right user.
From predictive modeling to autocapture software, the world of AI-powered CRO is changing fast. The only way to keep up? Keep testing, keep optimizing, and keep iterating.