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Leading market research firm set to disrupt industry, focus on cutting labor, human analysis, and prices for greater efficiencies and accuracy
Market research veteran takes over to drive RESPONSE:AI’s expansion in the US
Focus on what’s important, leave the rest to the machines.
Here's you can make the best ads possible.
Mike Stevens at Insight Platforms has just published his 15 Predictions for Insights in 2020. He starts off with the challenge of squeezed budgets and the need to move research in-house to more automated tools, saving cost and time vs. traditional research firms.
The response:AI platform provides an ideal technology to enable #digitaltransformation of the #insights function. We help #marketresearch teams to launch automated surveys and generate presentation-ready reports at the push of a button. Visit our website to learn more or message us at email@example.com.
You can read Mike's full set of predictions at https://lnkd.in/dDSXbfV
We agree with most of what Mike has written, with the possible exception of No. 15, that Leeds United will make it to the Premier League. We can't really comment on that, but we'll counter with our own prediction -- the #BuffaloBills will defeat the #NewEnglandPatriots to win the AFC East!
(Dallas, Texas-- June 7, 2018) Response:Now, a market research technology firm, today announced it has rebranded as response:AI. As automation and AI technology continue to change the entire market research process for the better, response:AI is leveraging its leading market research technology to be at the forefront of this transformation.
“Automation provides clear competitive advantages for both consumers and producers of market research,” says Dr. Frederick Barber, CEO of response:AI. “Studies can now be conducted quickly and far less-expensively than those using traditional methodologies, and response:AI is perfectly-positioned to bring this new wave of technology to market.”
response:AI provides its technology platform to large brands with internal market research skills and capacity, and to other market research agencies and professionals to deliver more efficient and accurate results. More than just a tech platform, response:AI also provides full service market research projects directly to clients.
Global firms like MasterCard, Google, VML, and McCann have already utilized response:AI’s innovative methods to solve their market research needs, and the results speak for themselves. response:AI’s approach delivered comprehensive, agency-quality results in a fraction of the time and at much lower cost.
“Our AI-based approach to market research is not just for enterprise clients,” adds Dr. Barber. “Because we’re able to cut 80-90% of the data gathering and analysis process, response:AI makes it possible for firms of all shapes and sizes to utilize the full range of benefits market research brings quickly, accurately and with great cost efficiencies.”
On June 12, Dr. Barber will be presenting at the Insight Information Exchange (IIeX) conference in Atlanta, GA, on the use of technology-enabled market research by startups and technology incubators. The session will focus on how automation and AI technology can help startups (and the firms who fund them) that do not have in-house market research capabilities to conduct high-quality research studies. That means better products, better marketing, and better decision-making processes.
For the full IleX Atlanta agenda, check out their website.
With offices and team in Dallas, New York, and Prague, response:AI provides AI-powered market research for organizations of all sizes. For more on exactly what we do and how we do it, visit https://response-ai.com/.
(Prague, CZ -- April 17, 2018) -- RESPONSE:AI, a leader in providing AI-driven automated market research, has named Dr. Frederick Barber as its new CEO.
After fewer than six months as RESPONSE:AI’s Managing Director of North America, Dr. Barber will take over as chief executive of the Dallas- and Prague-based organization, responsible for global strategy, market development, and client success.
“I am excited to take the helm for a company that has developed an amazing piece of technology that will fundamentally change the dynamics of the market research industry,” said Dr. Barber. “Expanding to the US from Europe in such a short time is no small feat, and our expertise in market research, software development, and AI, positions us to be a leader in this space for years to come.”
Beyond his focus on bolstering RESPONSE:AI’s client support presence in the US, he will oversee the company’s three-pronged strategy of providing full service market research, self-service products which require minimum client-side input, and full AI platform access for market research professionals, agencies, and enterprise corporations.
In addition, Dr. Barber will focus on investor relations, while also becoming a RESPONSE:AI investor himself.
Ex-CEO and RESPONSE:AI co-founder, Rene Henc, will remain with the company as Chairman of the Board of Directors, and will stay on as a key part of the company’s leadership team. His focus will shift to strategic technology and product advancements, the development of market research as a service, and enterprise partnerships. Rene will lead the team in Prague and will oversee operations in Europe with current and future RESPONSE:AI clients.
More on Dr Frederick Barber
Prior to joining RESPONSE:AI in October 2017, Dr. Barber served as Chief Analytics Officer for MXM, a leading content marketing agency. He’s worked with leading brands in the automotive, CPG, retail, financial services, and a host of other industries, served on Client Advisory Boards for SPSS and Experian, and is a recognized expert in market segmentation and enterprise predictive analytics. He holds a BA magna cum laude from Cornell, an MA in Demography from Georgetown, and a Doctorate in Strategic Leadership from Regent University.
With offices in Dallas, San Francisco, and Prague, RESPONSE:AI provides AI-powered market research for organizations of all sizes. For more on exactly what we do and how we do it, check out response-ai.com.
Automation has been changing major industries for decades (centuries, if you want to get technical). There are countless examples of this in practice - just think of the automotive industry where robots now do the work of dozens (or more) of assembly line workers.
Market research is no different, and it’s ripe for disruption. So, that’s what we’re doing. It’s called r:n Platform, and it’s built for researchers who want to focus their time on analysis and less on mundane data-collection tasks and more on getting answers.
We’ve been using automation and AI to make complex market research easier, faster, and more affordable for a while. Now, we’re pulling back the curtain a bit. Our team has been working with our r:n Platform technology as we worked on it, and now we’re turning it into its own, stand-alone service.
We developed r:n Platform with one goal in mind - to maximize research output. Our automation replaces as much as 90% of human research input, including survey composition, data processing, and analysis. With more than 100 predefined constructs (and more to come), you can create any type of survey and then apply your own methodologies and expertise. r:n Platform does the heavy lifting.
r:n Platform will help research professionals deliver more research for clients while freeing up teams will work on projects that matter and, at the same time, reducing overhead costs. We’re making it easier than ever to run market analyses, brand strength studies, packaging tests, and really any other quantitative research project. In addition, it can also be used as an analysis tool for already-existing datasets to analyze larger datasets
Our central goal with r:n Platform is to make complex research easier, faster, and exponentially more affordable. The RESPONSE:AI team has been working in the research field for decades and we’re all-too-familiar with the barriers that had been built into it for so long. r:n Platform is our contribution to the democratization of market research.
Get in touch to find out more!
We’ve started a show!
In this episode, RESPONSE:AI CEO Rene Henc and I discusses how and why to test your marketing and advertising assets — everything from concept to messaging to final product. There are countless great reasons to use market research in your marketing and advertising processes, but the most important one is obvious: stop wasting your budget on ads that don’t work.
Rene lays out his recipe for successful ads and how a bit of market research can help you get your campaigns right the first time — on any medium and platform you can think of.
We look at fundamental business questions:
- How does your target audience respond to your ads?
- Does this version of the ad meet the intended creative idea?
- Is your media budget being employed effectively?
To learn more about our Ad Development & Testing research packages, go here.
Watch the full episode here:
Thanks for watching, we hope you like it and find it useful. You can subscribe to RESPONSE:AI on YouTube, and we’re always open to feedback, suggestions, and ideas.
According to a survey by Linqia, “The State of Influencer Marketing 2018,” marketers are set to spend even more on influencers in 2018. 39% of respondents said they intend to increase their spending on influencers in 2018.
While accounting for a relatively small amount of overall marketing and ad budgets, the amounts being spent are not small. 74% of Linqia’s respondents said they spend $25k or more per influencer marketing program. 46% of respondents said they typically run 2–5 influencer campaigns annually, while 30% run five or more.
As budgets are shifted to influencer programs, data and analysis will inevitably become a bigger part of what has been an opaque (at best, in some cases) process. According to Linqia, 76% marketers say measuring influencer program ROI is a top challenge and, in 2017, “46% of marketers used product sales to determine the success of a program.”
All of this means that influencer marketing is getting more sophisticated. Working with influencers presents challenges for both sides involved. Influencers need to work with partners that their audiences like and, more importantly, avoid partners that could invite backlash.
On the buyer side, agencies and brands need to do their homework, as is the case with any other marketing or advertising venture. Are influencers going to be more effective than other channels? Which influencers will your audience respond to? Are there certain segments that respond more strongly than others?
Like pretty much every other aspect of marketing and advertising, all of these things can be tested. Yep, it’s true, market research has a HUGE role to play in influencer marketing. Here are a few ideas:
1.) Know what your audience will pay attention to and what they won’t. You can look at potential sponsors and partners within your target demographics and find those that fit the best. Find out things like brand strength, brand likeability, and motivation to buy — and get your audience ads they’ll engage with and keep your brand partners happy.
2.) Manage your personal brand more effectively. Don’t rely strictly on analytics data about your audience. Ask them what they like, what they want to see more (or less) of, what they think about things that may differ from your content, and more. The more you know about the audience you have, the more you’ll know about the audience you want to get.
3.) Stay ahead of the game. As brands and agencies increase budgets, there will be increased demand for accountability. Use market research to look at your partners’ products and craft collaborations that speak directly to their target audience and yours with one voice.
For Brands & Agencies
1.) Find the right partner. A robust market analysis will tell you how consumers make buying decision, when and why they recommend products, how they learn about new products and more. You’ll target the right market with the right influencers like never before.
2.) Set your goals. According to the Linqia survey, engagement is still the leading metric for influencer campaigns. If the goal is increased brand awareness, it’s good to know where your brand sits in the first place. Furthermore, ongoing brand analysis will show you the brand effects of your influencer campaigns in concrete terms.
3.) Reach the masses, one niche at a time. With influencers, even the largest audience (usually) pales in comparison to even the smallest ad network. Audience loyalty is key — the scale comes next. On the acquisition side, that means you’ll be spreading budget around different platforms, with different products, to oftentimes wildly-unrelated target audiences. A little market research will help you narrow that list to something manageable, and then build campaigns with influencers that will actually influence your audience.
There are countless applications for market research for those on both ends of the influencer marketing universe. The most striking number from the Linqia survey was the response to a question about the biggest challenges facing influencer marketing. 76% of respondents said it was determining ROI. This is an issue for both buyers and sellers in this market. If there is overwhelming agreement that determining ROI is a challenge on the brand side, that means influencers aren’t forthcoming and proactive enough in showing their value.
The answer to a big portion of this is actually simple, and affordable. The top three KPIs for influencer programs are engagement, clicks, and impressions — all brand awareness metrics. One, ongoing brand analysis can tell both sides all they need to know. You’ll see brand lift, motivation, likeability, and more, tracked over time. Second, you’ll be to go deeper and test different deliveries and channels with the market and get it right the first time.
Both sides will be better off for it.
Want to learn more about Brand Analysis? Watch our webinar explaining the research process and what it can show you:
You’ve no doubt been reading the trend pieces about what’s big, what’s old, and what’s coming for the year ahead, so here’s a number: 81% of enterprise businesses use customer analysis to better understand their consumers.
For startups and smaller businesses without enterprise budgets, such insights can seem out of reach. First, they are not (more on that here). Second, and most importantly, investing in a bit of market research early can pay outsized dividends later.
That’s what I discusses in my latest for MarTechSeries. From the piece:
To present yourself in the best light to both potential investors and your target market, you first need to understand your future ecosystem. This means taking a deep dive into your customers: what they use, wish for, what they appreciate and criticize, issues they may face using existing products, etc. Then go to the competition: what they offer, how they price it, how they communicate, etc. when you have all of this info, defining your new product or service may not be easy, but it does become more focused.
Commitment, preference, relevance, familiarity, awareness, likelihood to purchase, brand values — all of these data points (and more) go into how we measure brand strength. For marketers and brand managers, having a complete view of what your market thinks about your brand — beyond simply liking it or not — is absolutely crucial. Extensive knowledge about how consumers see your brand versus the competition can be the deciding factor in success or failure
In this episode, RESPONSE:AI CEO Rene Henc describes the importance of maintaining a strong brand, how it affects your company’s bottom line, and how we can help you measure your brand’s strength, equity, likeability, and much much more.
To learn more about our Brand Analysis research packages, check this out.
Watch the full episode here:
Thanks for watching, we hope you like it and find it useful. You can subscribe to RESPONSE:AI on YouTube, and we’re always open to feedback, suggestions, and ideas.
Here at RESPONSE:AI, we provide AI-powered market research — now available to US clients. We’ve been successfully operating in the European market since early 2017, and so far boast a 100% customer satisfaction for clients such as Google, Mastercard, Raiffeisen Bank, Marks & Spencer, and more.
Our value proposition is pretty straightforward — any business or marketing agency thatdesires the same quality and depth of insight from a traditional market research report can get it from us in dramatically less time and far less cost. In many cases, we’re able to provide research at 3x the speed and 3x less the cost of current market research and DIY offerings.
Recently Ruck.us, who provide political candidates with an online platform to create campaign websites retained us to learn what past and present users like and dislike about the service, and their willingness to recommend. “With market research from RESPONSE:AI, we were able to focus on the things we needed to improve about our service,” says Ruck.us CEO Nathan Daschle. “Now, we have the data to make some subtle changes to get our clients out there evangelizing about Ruck.us, and we couldn’t be happier.”
For more on exactly what we do and how we do it, go here.
To lead our efforts, we’ve appointed veteran market research executive Dr. Frederick Barber as Managing Director of North America. He is responsible for strategy, market development and client success in the U.S. and Canada. “With RESPONSE:AI we have an innovative company that is applying the latest in app-based technology, process automation and artificial intelligence to a critical business need,” says Barber. “Market research is now far more timely and cost effective for anyone with a need for quality insights without the resource drain related to traditional research firms. I look forward to bringing my experience in both market research and marketing automation to bear in RESPONSE:AI’s North American expansion.”
Prior to joining RESPONSE:AI, Dr. Barber served as Chief Analytics Officer for MXM, a leading content marketing agency. He has managed analytic services for such clients as Fiat Chrysler, Volkswagen, KraftHeinz, Nestle, Toshiba, Nationwide Insurance, Allergan, Home Depot and TGI Fridays. Fred has served on Client Advisory Boards for SPSS and Experian. He is a recognized expert in market segmentation and enterprise predictive analytics. He holds a BA magna cum laude from Cornell, an MA in Demography from Georgetown and a Doctorate in Strategic Leadership from Regent University.
“At RESPONSE:AI our success comes from understanding how to execute automated market research and add the critical human touch,” says Rene Henc, CEO and founder of RESPONSE:AI. “We ensure our clients receive the very best data with over 20 years of market research experience in the final analysis.”
I’ve been a market research consultant for over 20 years, and I’m a co-founder here at RESPONSE:AI. I want to offer some tips on the various methods — some free and some more expensive — you can use to improve your chances at attracting and securing investment. I will also give you some idea of what questions you need to get answers to before you begin your initial market research.
Getting professional investor money behind your idea isn’t easy. I’ve been there. You don’t want to find yourself in front of potential investors without clear answers. If you’re serious about success, then spending a little time at the earliest stages to get a more accurate insight into the needs and wants of the market is well worth it. Especially when you find yourself in the Dragon’s den.
In order to present yourself in the best light to both potential investors and your target market, you first need to understand your future “ecosystem”. This mainly means customers — what they use, wish for, what they appreciate and criticize, issues they may face using existing products, etc. Then go to the competition — what they offer, how they price it, how they communicate, etc. when you have all of this info, defining your new product or service becomes maybe not easier, but it does become more focused.
Next, you need to be able to describe your product or service so that you can ask the key questions of your potential market. You may try to develop a minimum viable product (MVP) or simple demo so that you can get advanced feedback, but that is quite expensive and takes some time. In many situations it’s beneficial to describe what you want to offer and list the key elements of your future value proposition. Try to make the proposition concise and differentiated so that you can clearly articulate why and how this product or service is different from other existing ones.
Finally, you will be ready to ask your potential market and customers about your idea, your competitors, pricing, naming, etc. While some “market research” is undoubtedly useful and key for any startup to verify and potentially adjust initial assumptions or even seeking investors and cofounders, there are a variety of methods available for this purpose. Some are free and some more expensive but all are worthwhile at least during this initial phase.
You walk into a coffee shop and ask someone what they think of your idea. It’s great for getting personalized feedback, but it’s time consuming, fairly subjective, and anecdotal.
You have the chance to get far more respondents than from the Starbucks method. Having said that, online forums and places like reddit, where the respondents are anonymous, means you can be subjected to some brutal comments. As always — beware of the trolls.
This is similar to the Starbucks method in that what you are gaining in personalized and fairly specific feedback, you are losing in both time and any sort of quantitative objectivity.
Companies like Survey Monkey are great for delivering broad, plentiful data. The speed and low cost are also wonderful, but, because there is no expert backing you up, and no control on the method of data collection, it can actually hurt your potential target market in the same way spam can.
Without a doubt this is the most tried and true method, but costs can be high due to the sheer amount of time it takes to customize the research, run the data collection, analyse it, and produce a full report. Luckily, thanks to advances in automation, there are some companies that have managed to automate a large part of this process and reduce the time it takes by roughly a third… i suppose you can guess who. ;)
All of these are worthwhile, but remember no potential investor will be interested in anecdotal evidence when evaluating the potential success of your business. So the more people you ask, the more quantitative research you do, the more you will be able to talk about patterns.
1. Experience matters — You need to have experience doing market research — otherwise you may define the scope or target group incorrectly and more. Market research agencies will make sure the expertise is there, will use proven methodologies, and will know from experience how to define the study, how to define the target group, and also how many people you should ask to get answers and required granularity.
2. Speed — You may do it fast and 80/20, or use an agency. Traditional agencies used to take weeks, but today, thanks to automation and technology, some agencies deliver within a few days asking hundreds of respondents and providing statistically significant outcomes.
3. Cost — As usual, quality goes with significance — you can do a high-level test for free, or use a sample. But, rather than using only your own expertise to define a simple survey, you may prefer to take a professional approach and it might be worth the investment — automation drives the cost lower for basic studies. For example, with sample size at 200 people from your target audience, it could be as low as $1250, which is a reasonable cost to get some date behind your ideas and assumptions.
Approaching potential investors with a professional market research report, complete with analysis and insight based on hard data, will help establish both your credibility, as well as the market value proposition of your idea.
Entrepreneurs, investors, and industry analysts always talk about passion and motivation. Sorry to insert a proverbial Steve Jobs here, but he talked about it all the time.
Unsurprisingly, it is often the first thing investors mention as their prime reason for investing. As an entrepreneur you probably already believe what your are doing is going to work, but there are no doubt going to be tough times that will test this. Being able to backup your beliefs with the hard data can make a huge difference in both your own motivation and that of your investors.
Successful people believe in what they are doing…
…this belief can only be strengthened when the numbers back that up.
To sum up, startups that rely on market research to test their ideas, can not only present the data to validate or improve their initial idea, but also to lend credibility when approaching potential investors. Once you get off the ground market research can help you monitor and increased consumer satisfaction, customer retention, brand loyalty and ultimately profit!
Let’s talk Consumer and Market Analysis. Specifically, the various issues it addresses and some of the tools available to get it right. First, we need to split the two.
The central aim of Consumer Analysis is to illuminate — and ultimately lead to an understanding of — the interactions between products and consumers. It focuses on purchase decision-making process, motivations, shopping patterns, and consumption habits.
Market analysis is concerned with market attractiveness and dynamics. It looks into the size of market in terms of volume, value, competition, and/or consumer segments.
Despite the fact that Consumer Analysis and Market Analysis can be considered as two independent studies, they are commonly used in combination. The information obtained is used in a range of business scenarios like the planning around a new product launch. Consumer and Market Analysis sheds lights on the gaps between the market offer and consumer needs, consumer segmentation, brand awareness, and more.
C & M studies are typically used by companies to mitigate market uncertainty and business risk. Whether it’s entering a new market or developing a new product, these are the high investment, high priority, high risk items on top of any strategy list.
C & M studies will help determine market size and potential, including answers about market expansion possibilities, consumer purchasing habits, motivations, and product selection criteria. It’s a lot easier to sell your product when you know how buyers behave and what drives their decisions.
When you drill down, C & M Analysis can provide detailed insights:
It’s important to note that all of the benefits I listed above are potential results from Consumer and Market Analysis. They are potential because, as with any poll or survey, this analysis must be done correctly — from respondents to the language of the questions, to the sample size. There’s more to come on that soon.
Brand Equity is the value — attributed by a consumer or potential consumer — of your product or service. Higher brand equity translates into consumer goodwill and their propensity to buy your particular brand of product or service. Its measurement, complemented by a traditional financial performance measurement, helps companies make strategic decisions affecting the factors that drive it.
What follows is a quick overview of some of the evidence for the correlation between brand equity measurement and operational factors like profit and success of a particular product or service, including examples of how brand perception impacted sales both positively and negatively.
A look at the impact of brand equity on the operational performance of businesses in the CPG industry indicates that there is correlation between brand equity and the operational performance of businesses. Mohan and Sequeira (2012) provided conceptual support for the relationship between brand equity dimensions and brand market performance. Tolba and Hassan (2009) concluded that brand equity constructs are correlated with brand market performance. The practical implications of these findings are that brand equity has to be effectively measured and managed in order to improve operational performance of business.
It’s clear from all the studies that in the U.S. retail market, brand equity drives where consumers fill their baskets. So as retailers strive to increase their share of their shoppers’ dollars, and ultimately grow sales, they should focus heavily on increasing their brand equity.
The brands that consumers say have a strong brand proposition and excellent advertising always grow in perceived value. So, with an increase in brand marketing follows an increase in sales, and vice-versa.
When brand equity takes a hit, there is a corresponding drop in sales. In 1999, Nike’s sales were at $9 billion, but sales fell later that year by nearly 8% and then it got worse. Increasing awareness about wages and conditions in Nike factories in places like Indonesia coincided with a huge hit in sales.
Reports surfaced that factory workers were on less than a dollar a day, working from 7am to 9pm, six days a week. Nike’s brand took a big hit, much to the joy of its rival shoemaker Reebok, who saw its own share price rise from $8 to $30 in the same year as Nike’s stock fell by 15%.
All the evidence points to the fact that measuring brand equity is key to helping you making strategic decisions that affect your bottom line. Its measurement has posed a big challenge to companies in the CPG industry that rely on it for making speedy decisions to keep their customers coming back for the right reasons. Recent advances in automation means larger databases can be used in combination with expert analysis in order to stay a step ahead.
Luckily, this automation has seen not only a boost in the ease of analyzing the data but also a reduction in the time and cost necessary to carry it out this operationally crucial research. In 2011, there were just 150 on this adtech/martech list, now there are over 5,000 providers in the space and counting: ours is not even listed here… yet.
Marketers in businesses of all sizes now have access to detailed market insights starting at just $2,750. Our platform helps measure brand strength, track campaigns, and test ads faster and more frequently than ever.
However, over half of the people we talk to react to our pricing like this:
“You don’t buy a Porsche at the cost of a KIA. It’s impossible to offer the same quality as large international market research agencies at a such lower price.”
The explanation is simple. Everything we do is related to automation and our innovative approach to market research processes, which, until now have remained untouched for decades.
We are not the only firm in the world providing market research, but we are one of the few companies that has turned wishful thinking about automation into a functional product. The market research revolution is here and has made professional services accessible to any and every marketer and business strategist in nearly any industry.
When we talk about automation, it doesn’t mean we’ve traded accuracy for speed. Far from it. We run every stage of market research as carefully and at the same quality assurance standards as traditional research agencies. In short, we’ve trained algorithms to perform the many processes that are repeated throughout.
In addition to automation, our human market research experts guarantee the quality of survey input and output, and deliver the insights that will drive strategic decisions.
Coming up with this product was a complex process on which our team spent several years. Now, the implementation of a research project does not require days of “manual” work, but only several hours of work by senior research professionals who control and correct what our system produces.
What exactly have we automated?
You send the brief, as usual, and we set up the rest.
The basis of your questionnaire is created automatically according to pre-defined rules. We guarantee that, no matter your requirements, each one will be unique and fit your business case. You also get the opportunity to comment and approve it.
Data Processing & Evaluation
This is all about statistics. It was only necessary to streamline the whole process and make sure the data flows seamlessly. So, that’s exactly what we did!
Final Report Preparation
No one makes charts and tables manually these days, right? In addition to charts, we automatically-generate textual that serve as a bedrock for the final analysis.
Automation enables us to maintain consistent quality for projects of all sizes and fitting all budgets. Our team has spent decades in market research, and quality is our primary concern. We understand the craft and the science, and we’ve created a way to shorten the process considerably. It’s a win-win.
Have a look at some examples of the core RESPONSE:AI products we offer to know more about what you are going to get.
Any questions? Get in touch with us! If you have any doubts, try our services and we’re sure you’ll be pleasantly surprised.
It used to be that Marketing Directors or owners would have to either take a gamble and just roll the dice to choose between the best of 3 concepts or if they wanted a more accurate consumer-centric approach, it would to cost a ton and take ages to get surveys done, compile data and analyse it all. Those days are done.
Our automated research tools produce in-depth insights into originality and customer appeal, including things like their propensity to buy or remember a product based on individual graphic features, colors, logos and text elements.
The respondents are all real customers, so their suggested changes or improvements are tied directly to buyer motivation.
Our algorithms and advanced automation mean that, although the research itself is done in the same manner as any of the large traditional market research companies, the analysis and detailed reports can be produced far faster and cheaper. (Packaging research starts from as little as $2,750.)
Depending on research complexity and the amount of data collection required, we deliver a packaging test report within only four days from receiving the assignment. The data processing that follows is literally done in a matter of hours. We interpret the results so that clients unaccustomed to interpreting raw research data can understand it thoroughly.
The real automation revolution is taking the risk out of packaging improvements, modifications and product launches: Getting customer feedback first, eliminates the gambling aspect. The numbers are there, but the dice are best used for paper weights.