What Is CRO Marketing and How to Make It Work?
Any enterprise with a website should invest in CRO marketing. It is an invaluable way to monitor how visitors interact with your website, and to make sure you are taking necessary steps to encourage them to engage with your brand.
What Is CRO Marketing?
CRO stands for Conversion Rate Optimization. CRO marketing is a method of increasing the percentage of your website’s visitors who take a desired action (or, to use marketing speak, who ‘convert’).
Conversions are a marketer’s holy grail, but the term can mean different things depending on your company’s goals. If increasing sales is your priority, then conversions could mean purchases. However, a conversion can also mean:
1. Signing up to receive content like marketing emails
2. Registering personal information like an email address
3. Spending a certain amount of time on your site
4. Downloading content like white papers and reports
5. Upgrading a service to a higher tier
These KPIs (key performance indicators) all benefit your company, be it directly by generating revenue or by increasing engagement.
How Do You Calculate Conversion Rate?
You can use your chosen KPI to work out your conversion rate. Here is a simple formula:
Total number of conversions ÷ total number of website visitors x 100 = conversion rate
You will use these figures based on a set period of time. So if in the month of September, your website had 10,000 visitors, of who 2,000 converted, your conversion rate would be 20 percent (2,000 ÷ 10,000 x 100 = 20).
Why Is CRO Important?
CRO is vital to any business with a digital marketing operation, because it:
Generates revenue. Even indirect conversions like content downloads and registering personal information increase engagement, which are proven to help your bottom line in the long term.
Gives you more value from your existing customers. Redesigning your website layout or redoubling your online marketing operation will encourage conversions from current visitors, which is much more cost effective than attracting new visitors.
Improves the customer experience. A higher conversion rate means customers are engaging more with your brand, which means they are happier spending time or money on your website. It could be done with something as simple as a more readable font, a more inviting layout or a bigger Call to Action (CTA) button. Little changes like these can make all the different to the customer experience. And remember: a happy customer is a loyal customer.
Grows brand affinity. All this engagement means your brand is playing a bigger part in your customers’ lives. That makes them more likely to think of it when considering a purchase, and to spread word about it to friends and family.
How to Develop a CRO Marketing Strategy
1. Define ‘conversion’
As we have seen, a conversion can take many forms. In order to measure your CRO, you first need to decide which KPI you are going to measure. This can vary depending on the campaign you are running, but it is vital you define what your goal is. As is always the case with data, without the right metric, the data will be useless.
2. Map your customer journey
A good knowledge of how your customers found your brand’s website and how they interact with it thereafter is essential. Without this knowledge, it is impossible to determine which touchpoints can be improved in order to drive conversions.
You should first collect and analyze data on your customers to determine which are most likely to convert. This data can include:
- Demographics (age, gender, income bracket)
- Psychographics (attitudes, aspirations)
- Geographics (location, locales)
AI can help you divide your customers into different segments based on this data, and then even create sub-segments within segments, for an even more granular customer view. Then you can rank these segments based on likelihood to convert, to ensure you only target the most valuable customers with timely and relevant marketing material that they will find compelling.
3. Analyze your current conversion process
Now it is time to ask yourself: why are your site visitors currently not converting? It could be due to:
- Difficult to read fonts
- Slow-loading web pages
- Unconvincing (or lack of) customer testimonials
- Images not loading or incorrectly formatted
- A CTA that is not compelling or easy to miss
- Intrusive ads/too many pop-ups
- Poor web page layout
- A disconnect between page headlines and content
To identify which pages have the most potential for increased conversions, look for those with the lowest ratio of traffic-to-conversion rate (i.e. those with the highest traffic, but the lowest conversion rate).
4. Test, test, test
Once you have identified an issue, you can test different solutions, for example three new fonts to see which is most readable.
Testing comes in two forms: A/B and multivariate (MVT).
1) A/B testing tests two versions of the page you are optimizing, but only changes one variable (for example, the font). This lets you pinpoint exactly which elements drive or diminish conversions.
2) MVT lets you trial multiple variables for different versions of one page simultaneously. It is like doing multiple A/B tests at the same time.
Before conducting tests, you should consider every element on the page to see how it can be improved. For example, maybe full-page pop-ups will drive conversions, or you might be better off with a less intrusive CTA. You should also ensure that your content matches the context of the page to ensure clarity of messaging and minimizing any potential confusion.
The big question: were you correct? If anything you changed did increase conversions, can you prove it conclusively? When analyzing your results, do not lose sight of your original goals and KPIs.
If any – or even all – of your tests failed, do not feel downhearted. Not every test will be a success, and you often learn more from a failed test than a successful one. Absorb those learnings, and move on to the final step.
6. Revise and re-test
This final step is an ongoing process of continual improvement. It may involve a small change like tweaking your edits, or a complete re-evaluation of your KPIs, resetting the company goals and conducting more customer research. Whichever is the case, as long as you are always learning, you are on the path to increasing your CRO.
CRO marketing is the embodiment of the mantra: do not work harder, work smarter. Instead of chasing more customers, it allows you to focus on your current ones, and to ensure you are serving them as well as possible. Because no business ever suffered for looking after its customers.
* Are you looking to optimize your conversion rates? Our full-funnel CrossX advertising solutions powered by advanced AI technology can help. Get in touch with our team today for an exclusive consultation.
WE ARE HERE TO HELP
YOU MIGHT ALSO LIKE
Artificial intelligence (AI) is revolutionizing how marketers operate – if you don’t embrace it now, you risk being left behind the competition. Read on to find out how it can make your marketing campaigns more effective and efficient, maximizing your return on investment (ROI). What Is AI Marketing? AI marketing leverages tools powered by artificial intelligence techniques such as machine learning and deep learning to analyze and predict customer behavior in order to market to them more effectively. AI marketing takes many forms, but they all rely on data to reveal customer action or inaction. This data-driven approach to marketing is grounded in reality – how your customers are actually behaving, rather than how you imagine they are or would like them to be – and so generates actionable insights that marketers can use to create more compelling marketing content and campaigns. The Benefits of AI Marketing It is more efficient. AI tools like machine learning let marketers crunch huge amounts of data very quickly, generating actionable insights much faster than analyzing manually, saving your enterprise time and money. It is reliable. With a grounding in hard data, you can rest assured that the results generated by AI
Q: What is GDPR? The General Data Protection Regulation (“GDPR”) is a new legislation by the EU parliament that lays out requirements for data collection, storage, and usage practice. This new law is meant to replace the 1995 EU Data Protection Directive (DPD) to significantly enhance the protection of the personal data of EU citizens and increase the obligations on organisations who collect or process personal data. Q: When is the GDPR coming into effect? The GDPR will become fully enforceable on May 25, 2018. Q: Who does the GDPR affect? Although the GDPR is an EU regulation, the territorial scope of GDPR is potentially far wider as it can also apply to non-EU businesses in certain cases. Businesses that market their products to or monitor the behavior of people in the EU are required to be GDPR compliant. Q: What constitutes personal data under the GDPR? Any information related to a natural person, defined as ‘Data Subject’ in GDPR, that can be used to directly or indirectly identify the person. It can be anything from a name, a photo, an email address, bank details, posts on social networking websites, medical information, or a computer IP address. Q. How is
Author | Min Sun, Chief AI Scientist, Appier Emotion is one of the most distinguishable human qualities, one that sets us apart from machines. However, it is not out of the realm of possibilities for machines to read emotions and respond accordingly. Increasingly, machines are able to interpret human’s emotional states and adapt their behavior to give appropriate responses – something we call emotional AI, or artificial emotional intelligence (though in the computing field, it is known as affective computing). Here we will explore what it is, how it works, and how it can benefit businesses. Three Types of Emotional AI Emotional AI is the next step in the evolution of artificial intelligence. By interpreting people’s emotions, AI can respond in a much more naturalistic manner, making the interaction much closer to typical human intercourse. There are three main types of emotional AI – natural language text analysis, voice analysis and facial expression analysis. The first two are already quite common, while the third probably attracts the most media attention. Other types of analysis also include mouse movement, eye-gaze, heart rate and electrocardiography, etc. Natural language text analysis It involves AI scanning written text like a review of a