Artificial Intelligence

10 Ways AI Can Help Market Researchers

AI in market research

With the way things are changing with time, artificial intelligence in market research is undoubtedly one of the significant demands in the industry. Although, as quick as the process is, it has been observed with the time that nothing is always satisfactory.

Before the implementation of machines, lots of human working hands were needed for factories and companies. After a while, we needed more machines and little manpower, but presently, we want the machines to execute most of our work. Besides, the automation sector makes everything easier and more comfortable for us by reducing both effort and time.

Nevertheless, we are still not content, and we still need a system that is not only artificial but also intelligent. We need Artificial Intelligence in market research to make the machine/system sophisticated not only to work rapidly but also to think automatically and yield outstanding results faster effectively.

10 Ways In Which AI Is Impacting The Market Research 

1. Enhance your surveys constantly 

You won’t require any assistance in writing questions or learning how to design questionnaires. AI also acts as a final Question and Answer to any survey you issue, and a continuous help as the survey gathers responses. With AI, you can see where questions may require modifications or unveil bias, and capitalize on machine learning to perfect your surveys, according to previous respondents.

2. Eliminates bias from the collection and assessing of data

Every market researcher knows that one of the significant risks to data integrity is bias. It’s either a leading survey question or one of your survey respondents recalling some things but totally forgetting others, hence skewing the data. 

AI generates high-quality data by eliminating unconscious human bias and remembering everything equally as pure data. Currently, this was implemented into the Experience Management Platform through Survey Review, which is an AI-powered tool that analyses every question and makes real-time suggestions on how to enhance your survey and collect better data. It’s undoubtedly a fantastic example of how AI is assisting market researchers in working smarter.

3. Analyzing the report

Supposing AI techniques can write reports; they can absolutely read them alongside materials important for marketers. Although it takes a while to conduct a business research project first, the next thing to do is look for someone to edit it and examine the accuracy of the data. 

With the assistance of advanced algorithms, it will be more comfortable and faster for you to scan your project to discover any existing research inconsistencies. Machine analysis is more accurate than the classical approaches when you cannot even depend on the distinctiveness of your writing without rechecking it.

4. Make use of data already collected

In a pressure to implement AI in optimizing surveys and collecting better data, many people ignore the massive amount of data that is present out there, either it is old company records or in the public domain. 

Actually, AI assists you in unlocking the operational data (O-data), written off as ancient history, which you can add with your personal experience data (X-data) and mine for amazing perceptions.

5.  Reduce report writing time

Most times, a market researcher spends lots of time only on writing reports. Well, AI can help in other aspects also. In case you’re thinking of research findings as data points, then it makes a lot of sense. An algorithm can absolutely learn to make specific assumptions and conclusions about the data, and then produce a report for you.

It can give you time to concentrate on essential tasks like establishing hypotheses, verifying AI-produced findings, and sharing or discussing results to stakeholders or clients.

6. Removing fake news

Although, we may regard fake news as low-quality data or information unimportant to the research. Nevertheless, false findings may look reliable and worthy of further application. For a human researcher, it is usually challenging to differentiate fake news from the truth. 

AI applications are not also fortune-tellers, but they can quickly analyze the origins of the news more effectively than marketing specialists. There are various aspects of high-quality data, and we are opportune to have AI assist us in determining what most of them are.

7. Prevent community members from dropping out

For most internal insights teams, online communities, or panels assist you in having a consistent conversation with your clients and ensure they’re at the core of your organization. Also, AI can support you in upholding engagement, decreasing churn, and producing high-quality results. 

It does this by implementing predictive modeling, analyzing things such as logins and dwell time, to identify members who are possibly dropping out quickly and the rest is up to you to encourage them not to go.

8. Conduct extensive secondary research

Usually, both small and large organizations use secondary research whenever they’re observing new markets, working on pricing strategies, or reviewing their suppliers. Conducting this takes lots of time, so it usually makes way for primary research. AI can help analyze the collection of secondary research within seconds and also reveal trends and themes in the data. 

9. Gathering valuable data in real-time

With the assistance of traditional research methods, you need to turn an enormous amount of data upside down to select the sections you think are meaningful. But, a similar process can be totally different when machine learning is taking it on. Moreover, AI’s ability to search efficiently is also an excellent tool for gathering data from clients in real-time. 

Chatbots comprises sets of questions that only gather valuable information from respondents. Actually, smart machines can effectively work with any data that becomes accessible in the industry. Hence, researchers do not need to worry about delivering unimportant or obsolete charts to business clients.

10. Decoding and structuring customers’ data

Behavioral predictions in the marketing sector may not be as undependable as we believe. AI tools can perfectly assist companies in understanding their customers better by collecting, decoding, and categorizing responses so that they are kept in an appropriate place. 

Smart technology can accurately decode spoken language and keep surveys to assist businesses to plan their processes effectively.  To correctly place behavioral predictions into your research report, you can rely on AI techniques for the task.

Challenges And The Future Of AI In Market Research 

Nevertheless, many challenges need to be addressed when it comes to using AI in marketing research. The most important one is the breaking down of the silos that’s present in various organizations.

In the technology department, the research team, data analysts, and marketing team are doing their best to answer the same questions but are making use of different techniques, different thinking, disparate data, and hence, get different answers most of the time. 

Actually, compounding the problem is the fact that every of these business units has different systems, which implies trying to combine different sets of data has traditionally been a significant cause for the silos remaining constant.

However, when looking into the future of artificial intelligence in marketing research, it’s essential to understand how AI and human beings can work in accord, each supplementing each other’s abilities and strengths.

It is important to note that AI works effectively to keep and remember massive amounts of data and make complicated calculations according to the data sets. Human beings are exceptionally skillful at interacting socially and achieving tasks, being creative, and thinking critically.

Just imagine great things AI and humans will achieve together. AI can go beyond human ability in searching for the connections in the data at a level that’s difficult for humans. AI can help us understand things that are not clear to us and reveal unknown things to us.

With the affirmation of such a limitless possibility, the benefits of using AI in marketing research to decrease insight time are apparent and interesting.

Conclusion 

Behavioral information obtained from artificial intelligence in market research can greatly assist in understanding future trends and consumer behavior. This step can comfortably provide a massive help in generating business decisions and strategies in the coming year.

Artificial intelligence in market research is known to offer and also affect marketing strategies, business models, customer service options, sales processes, and detailed consumer behavior.

Generally, the AI in market research will aid the increase of the sales processes. Well, not only the market research industry but also affect and improve every other industry too.

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