We value your privacy

We and our third party partners may use cookies and similar technologies on this site to analyze usage, optimize our services, personalize content, tailor and measure ads and keep this site secure. Privacy Notice Cookies Notice
en
Contact SalesLog in
Contact SalesLog in

How to use MaxDiff analysis

MaxDiff analysis can be your go-to tool for market research. Get more out of your data with expertise from global market research services.

If your business is successful, there are bound to be plenty of things about your products and services that your customers like.

Yet there are times when it’s important to know what it is that those customers value above all else, or even love, that makes them loyal and repeat customers who readily sing the praises of your brand.

That’s where MaxDiff analysis can be your go-to tool for market research. The methodology provides useful data about your customer preferences so you can make sure you are meeting their needs and exceeding their expectations through ever-improving products and services.

MaxDiff analysis is an analytic methodology that is used to gauge survey respondents’ preferences for different items and rank those attributes in a best-to-worst ranking.

With MaxDiff analysis, you can identify customer preferences based on lists of attributes or features for just about any product, service or issue. So, if your company makes exercise equipment, you could conduct a MaxDiff survey asking respondents to choose what they like most about your treadmills, e.g. quietness, online coaching, health metric electronics or portability. The same type of approach could be used by a hotel chain seeking to learn what’s most important to customers during a stay or a clothing retailer wishing to identify what customers appreciate most during an in-store shopping experience.

Gaining this insight via a survey using MaxDiff design can be the key to making better, more informed decisions and investments that can help drive growth and prevent you from making costly missteps based on assumptions that aren’t backed by data.

With our intuitive platform, backed by expert survey methodology, anyone can perform MaxDiff studies, even non-experts.

MaxDiff analysis works by forcing people to choose the most and least important attributes from a list that they are provided with in a survey. Since respondents are forced to choose based on a MaxDiff survey question, they can do some of the heavy lifting for you by identifying what’s likely to be most important to most customers.

In this way, a MaxDiff design goes beyond standard rating questions that only ask people to provide feedback about the degree to which they like or dislike a product, service or specific feature or questions that simply ask respondents to identify what they like without forcing them to identify which they value the most.

A potential challenge with those types of surveys is that people typically like many features of a product or service. However, without any insight into what they like the most, it’s difficult to make decisions and trade-offs in terms of what to invest in or improve.

Let’s go back to the hotel example. It’s likely that there are a lot of amenities that your guests appreciate. They may like the convenient location, free breakfast, unlimited Wi-Fi, valet service, comfortable beds and the full-scale gym with an indoor pool.

As a hotel operator, the fact that there are many features that customers like is great. After all, it only helps to enhance your overall customer experience, which leads to great reviews, return guests and positive word-of-mouth buzz.

But let’s suppose that business is so brisk that you now want to open another similar hotel in another area of the same city. Your budget and resources aren’t unlimited and you need to make sure that you get the maximum value out of the new location by attracting the most traffic from your target audience. This is an instance where MaxDiff analysis can work its magic.

Once you’ve determined the group or groups that you plan to get feedback from, you can create a MaxDiff survey that will give you greater insight into the amenities and services that members of that group value most.

From this survey, you should gain some instructive insights that can help guide your decision-making about the new hotel. For instance, you may find that the location with easy access to the city centre is by far the most favoured feature among the group you are surveying. Based on that insight, it may make sense to pay more for a location on some prime real estate that will allow guests to readily access the city centre.

Yet, if “free” is what triggers the most positive response from your guests, then it’s worth considering investing less in location and other nice-to-have amenities so you can focus on offering free breakfast, Wi-Fi and parking.

By forcing your respondents to choose, their answers will make it easier for you to choose your own priorities.

You can also put a MaxDiff survey to work to help you decide which features to prioritise in a product or service.  

For instance, when it comes to product development, MaxDiff can be a great tool in the process of developing an entirely new product or creating an upgraded or ‘new and improved’ version of an existing product for which sales may have flatlined recently. For example, maybe you’re a bakery that offers sandwiches, pastries and other baked items, but owing to a recent trend for low-carb diets, you suspect that your customers are prioritising healthier choices.

That’s the logical conclusion, but is it the right one? MaxDiff analysis can help you find out. So you could ask customers to rank the features that they like most about your products, listing options such as:

  • Variety of offerings
  • Locally sourced ingredients
  • Great taste
  • Healthy low-carb options
  • Sweet and decadent treats

If your initial hypothesis is correct, then it would make sense to explore how to expand your low-carb and healthy options to better satisfy existing customers and, hopefully, attract new ones.

But let’s suppose that your results come back and they end up in the following order, from most to least liked:

  • Great taste
  • Sweet and decadent treats
  • Variety of offerings
  • Locally sourced ingredients
  • Healthy low-carb options

These results provide an entirely new and unexpected insight. Based on the responses, it appears likely that the majority of your customers aren’t overly focused on healthy choices when they shop with you. Instead, perhaps they see your products as their go-to choice when they are simply looking for some great tasting baked goods or even as a sweet reward for making healthy choices in other aspects of their lives.

In this example, if it weren’t for MaxDiff analysis, you may have thrown yourself into revamping your menu so it featured a broader range of healthy and low-carb products. That would have been a costly mistake if it ended up putting off your best customers, who may decide to give Greggs their custom instead.

Let’s assume you have a new product with a long list of great features.

That’s great, but it also raises the question: Which features should be emphasised in your product offering? 

In other words, you’re looking to showcase the most compelling aspects of your product in your advertising and marketing that will resonate most effectively with your target audience of prospects and customers.

Advertising demands focus; you only have an instant to catch interest and deliver your most compelling message. Consider an unscientific experiment by marketing expert Ron Marshall, who set out to see how many ads he was exposed to during a typical day. Marshall abandoned the experiment not long after he had started, having counted 487 advertising messages before he had even finished his breakfast.

So yes, knowing which advertising claims will resonate most effectively with your target audience is essential. And a great way to find that out is via a MaxDiff analysis. You can craft different messages highlighting various features of a certain product that you are advertising and then survey customers to see which ones resonate most with them. So if you aim to pitch a new cleaning product, some messaging choices might be:

  • Cleans your mess for less
  • Makes your house smell like spring all year round
  • Kills 99.9% of household germs
  • Safe for you and your feline friends

Advertising budgets are typically tight. The feedback that you obtain from a survey question such as this can help you nail down the most effective message, plus the next-best supporting messages for longer ads or marketing content.

Segmentation is nothing new in marketing. It’s all about sorting through your customers and grouping them in logical ways in order to target them more effectively while meeting their product needs. Common ways to segment customers are according to their age group, gender or geographic location, or according to products that they tend to purchase.

This segmentation is useful, but it doesn’t typically get to the core of what motivates your customers' actions and decisions. Needs-based market segmentation fills that gap by segmenting your customers based on their underlying attitudes and behaviours. MaxDiff analysis can help you identify the traits and priority needs driven by these attitudes and behaviours so you can then tailor your efforts and messaging to meet those needs.

For instance, a needs-based MaxDiff survey for a new kitchen blender might ask which of the following is the survey taker’s main motivation:

  1. Maximum convenience
  2. Value for money
  3. Optimal performance

In this instance, if the most important need expressed by the majority of respondents is maximum convenience, then it’s likely that your efforts will be best spent on emphasising the ease and speed of the product, and future product enhancements can be focused on amplifying that convenience.

MaxDiff analysis can clearly make a huge difference by getting to the heart of your customers' top preferences and then providing actionable data to help guide your focus and decisions. These key benefits include:

  • Clear insight
    You gain greater clarity about which aspects of your products and services are most important to your customers, as well as insight into what else they value, in descending order, down to the least valued on the list. This can help affirm either that you should either stay the course with your product development or messaging or that you need to rethink how you are promoting your products or services.
  • Greater efficiency
    If you’re doing things right, when you ask your customers what they like about your products, they could go on and on. That’s all well and good, but it doesn’t provide much insight to help you keep improving and growing. Since MaxDiff surveys force respondents to choose, you get right to the core of the issue so you can use your results to execute data-driven actions.
  • Straightforward recommendations
    The feedback that you capture via MaxDiff analysis is often rather black and white when it comes to resulting data. If the majority of your survey respondents state that they shop at your bakery for a decadent treat, then you can feel quite confident in recommending that it makes sense to put emphasis on that in your marketing and maybe order some more sugar from your suppliers.

There are potentially also a few challenges associated with MaxDiff analysis, including the following:

  • Knowing what your customers hate
    MaxDiff does a great job of identifying what your customers like the most. However, depending on how your survey is set up, it often can’t reveal the things that they might not like at all, or even despise. This challenge lies in the fact that MaxDiff analysis typically reveals what your customers like most in descending order, but whatever comes in last place doesn’t fully reveal what customers think about it.

    So if you were asking customers what they like most about cherry chocolate-chip ice cream cones, you might give them four choices, such as the chocolate chips, the cherries, the creamy ice cream or the crunchy cone.

    In this instance, the crunchy cone may end up listed as the least favourite of the options. But the chances are that plenty of your customers like that crunchy cone, only less so than the other delicious stuff listed. Alternatively, they might hate the crunchy cone. With MaxDiff, it’s hard to know.
  • Knowing how much customers may love a certain product or feature
    Similar to not knowing what your customers might detest, with MaxDiff analysis, it’s also difficult to get a clear read on a product or feature that is prompting your customers to be happy on a daily basis.

    For instance, let’s suppose that you were asking them to rank sweets from their most favourite to their least favourite. Your results may show Jelly Babies at the top, but what it doesn’t reveal is that many of those customers have a nearly irrational love of Jelly Babies that prompts them to consume copious amounts of them daily, serve bowlfuls of exclusively these sweets at their birthday parties and hang Jelly Babies art on their walls. This type of unbridled passion for a product can be a goldmine for a confectionary marketer, but a MaxDiff analysis will only tell you that more people like them better than other sweets.
  • Too close to call
    MaxDiff works best when there is a clear winner, and it never hurts to have a clear runner-up as well. When that occurs, it makes recommendations and related actions fairly clear. However, things can become a little more challenging when you have a close race for the top. So going back to the bakery example, imagine that you surveyed 100 people and it turns out that at the top of the most-liked list is a decadent sweet treat, with 39 respondents choosing it. Yet, it is closely followed by 38 respondents ranking “more healthy choices” at the top of their list.

    No doubt, this insight would be helpful because it tells you that you have customers at opposite ends of the spectrum when it comes to their reasons for making purchases from your bakery. However, working out how to keep everyone happy may take some more investigation.

MaxDiff is one of several market research methodologies aimed at identifying and ranking customer preferences to produce best-worst data. Here is a breakdown on how MaxDiff analysis differs from other common methods: 

  • MaxDiff analysis vs. best-worst scaling
    In market research, MaxDiff analysis and best-worst scaling are often presented as synonymous terms. Although some academic and scientific researchers sometimes point to subtle differences between the two methods, most marketers use the terms interchangeably to describe an analytic approach that is used to gauge survey respondents’ preferences for different items.
  • MaxDiff analysis vs. standard rating scale questions
    In market research, standard rating scale questions differ from MaxDiff analysis in that they don’t force a respondent to choose their top preference from a list of choices. Rather, standard ratings aim to capture consumer opinions regarding a product or service. Although types of rating scales vary, they often ask respondents to choose on a scale of 1 to 5, ranging from if they strongly disagree with a statement to strongly agree with a statement.
  • MaxDiff analysis vs. conjoint analysis
    In conjoint analysis, those conducting the research add more dimensions beyond what MaxDiff analysis seeks to determine by describing a product or service with multiple attributes. Multiple product features are combined to build many product concepts. Respondents are then asked to choose which concept they prefer, providing feedback that can be valuable in developing the most useful and marketable product.

Armed with greater awareness of what MaxDiff analysis is, how it can benefit your market research and its pros and cons, you can now busy yourself with getting a better data-driven read on your customers' preferences.

The more you know about what they like and value most, the better equipped you are to keep customers happy and attract new ones to grow your brand and your business. MaxDiff analysis can play a key role in strengthening your brand. Work with SurveyMonkey’s expert research team to use MaxDiff to prioritise features and optimise your product.

Collect market research data by sending your survey to a representative sample

Get help with your market research project by working with our expert research team

Test creative or product concepts using an automated approach to analysis and reporting

To read more market research resources, visit our Sitemap.