Canvs Blog

How to Use Canvs MRX to Inform your Marketing Strategy | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

The Challenge

Today’s liquor makers are marketing spirit brands as "experiences.” Spirits are moment-makers, symbols of letting loose, of making an impression, or of celebrating a victory. This experiential strategy requires marketers to understand not only who is consuming their product but when and how. Before they can “own the moment,” they need to be sure they know what moments resonate with their most important customers.

To get the answers it needed, one spirits brand asked its core demo: “What’s the last occasion you had a drink for?” Over 6,700 open-ended responses poured in, containing a wealth of insights about the experiences that customers associated with the brand. The only question remaining was: what’s the best way to analyze this treasure trove of qualitative data? Traditional hand-coding is time-consuming, fraught with inaccuracy and inconsistency, and difficult to draw conclusions from. Canvs MRX offered a better solution: Automated AI processing.

Methodology

Canvs MRX makes processing open-ended responses as simple as uploading a spreadsheet. Once the spirits brand entered its file of 6,700 responses, Canvs MRX immediately jumped into action, using its one-of-a-kind unnatural language processing engine to decipher over 500 million words and expressions, including slang, acronyms, emojis, misspellings, and subtle nuances such as sarcasm.

Within minutes, the consumer insights group was able to view and analyze a detailed breakdown of the experiences described in their open-ended responses, and to filter and analyze the data according to numerous demographic criteria. The result was a gold mine of information that validated its experiential strategy and provided new insights into their most valuable customer segments.

By using Canvs MRX, this premium spirits distributor uncovered insights about its most valuable customers that led to more targeted creative and media strategy.

The Findings

Based on the responses to the survey question, we found that two important demographic groups empower the brand to easily make more cost-effective and targeted marketing spend. Using Canvs MRX, the spirits brand zoomed in on these groups to further their understanding of how and when they consume alcohol.

Wealthy Party Go-ers: Respondents with a High Household Income

When respondents in the top income bracket [$250k or more] think of themselves drinking spirits, they envision excitement and festivities. Canvs identified their top spirits moments/drivers as a “Party” [20% share], a “Birthday” [14% share] and Friends [14% share]. Relative to other income groups, they were the least likely to include Family in their responses.

This insight made a strong impact on the brand’s creative and media strategy, solidifying the brand’s positioning as the top choice for a “Night on the Town” or a “Party to Remember” rather than more intimate or somber family moments like an anniversary or holiday.

Friendly Millennials: Respondents aged 21-34

For respondents aged 21-34, “Time with Friends” is the #1 moment for enjoying spirits, regardless of gender. In particular, they get very excited about celebrating “Birthdays” with spirits. Birthdays ranked as the #3 moments driver for these young drinkers, accounting for 10.1% of total Emotional Reactions.

This insight led the brand to explore numerous opportunities for friend-themed campaigns and messaging. In addition to the impact on creative, it impacted when and where the brand ran advertising, directing them towards shows and brands that are associated with “Friends” and “Friendship” in social.

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PODS Adopts Canvs AI for Text Analytics to Power Customer Experience | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

PODS & Canvs Co-Present at Upcoming Insights Events

Canvs AI, the leading text analytics platform for consumer insights & CX, today announced that PODS, the market-leading moving and storage brand, has successfully adopted Canvs AI as part of its customer experience (CX) operations.

PODS is the pioneer and leader in portable moving & storage and was recently recognized as the #1 moving and storage company of 2022 by move.org. Core to its success in this ultra-competitive market is its relentless focus on customer experience and customer feedback. With tens of thousands of customer comments annually from post-experience surveys, call center interactions, and digital touchpoints, PODS needed a way to extract meaningful, actionable insights from open-ended questions at scale. Using Canvs AI, PODS is able to efficiently analyze thousands of open-ended responses, quickly organizing and classifying the themes to understand the “why” behind their customer feedback scores and develop actionable next steps.

“Canvs has a great AI on its own that is constantly improving, however, the ability to create rules using easily understandable boolean logic allows the feedback to be categorized exactly the way you want with high accuracy,” said Logan Fern, customer experience analyst at PODS. “Canvs provides our 'why' behind the score better than other text analytic tools in the industry.”

“The way PODS is using Canvs is the reason Canvs exists. They’re able to take mountains of customer feedback that would otherwise be nearly impossible to analyze and quickly identify not only trending topics and themes but also emotional sentiment,” said Jared Feldman, Founder & CEO of Canvs AI. “Probably the most important part is that they’re able to generate highly specific and actionable insights that they can implement to continuously improve customer experience.”

PODS Presents with Canvs

Logan will be co-presenting with Canvs Founder & CEO Jared Feldman at several upcoming market research conferences, where he will outline PODS’ approach to customer feedback and their use of open-ended questions, and how they generate core, actionable insights by analyzing open-ended text.

Quirk’s Event Global

Tuesday, October 11th at 9:40 am EST

TMRE

Tuesday, November 15th at 12:50 CST

About Canvs AI
Canvs AI is the easiest, fastest, and most accurate insights platform for analyzing open-ended text from virtually any source, including surveys, customer reviews and social media. Canvs is used by some of the world’s most admired brands, research agencies, and media & entertainment companies to accelerate time-to-insights, reduce cost, and deepen the understanding of consumers. For more information or to request a customized demo, please visit https://canvs.ai/ or email sales@canvs.ai.

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What is Text Analysis? | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

"What is the purpose of text?" An open-ended response is intended to answer or explain their intent, feelings, or behavior. Text analytics is a question and answer problem; one that to date has underperformed for various reasons, and has been made more difficult by changing language and technology. Text analytics options, however, are advancing. Artificial Intelligence (AI) and Natural Language Processing (NLP) is growing with leaps and bounds, pulling forward the opportunities to solve this question and answer problem. Traditionally, when businesses opted to perform text analysis on open-ended responses from surveys, social media, reviews, or another source, they were required to manually code the text responses, or use automated systems that only rated content on a positive to negative scale; which made nuanced language interpretation impossible.

Emerging technology innovations are now enabling organizations to tap into the power of text analysis quickly and at scale, providing statistically significant insights without the need for hand-coding. The most sophisticated text analysis platforms today can ingest open-ends and return data that is transparent, flexible, and capable of interpreting both natural language and the “un-natural” language of the internet. By eliminating the need for highly specialized talent to spend hours poring over unstructured text to find themes and reach conclusions, AI-driven text analysis frees up those resources to take more immediate action and drive results.

The information gleaned from text analysis can be used to empower organizations to make informed decisions that enhance business operations, from improving marketing to changing product design and enhancing customer experience. This guide will explore the definition of text analysis, its uses, and how you can use Canvs to get the most out of your text analysis efforts. Let's get started.

What is the Definition of Text Analysis?

Text analysis, sometimes referred to as text mining, is a process used to extract meaning and information from data in digital text form. It is a complex process that encompasses breaking text down through parsing, recognizing patterns, analyzing language, and finally, interpreting the meaning of the text. On a fundamental level, text analysis is the digital equivalent of reading posts on the internet and accurately interpreting what is being said. However, machines must be taught to perform accurate language interpretation through machine-learning, natural language processing (NLP), and by leveraging the power of AI.

Previously, text analysis could not be performed autonomously. An individual would have to manually code the unstructured open-text, spending hours sifting through the data before it could be run through a program to be analyzed. Even once the analysis was completed, an individual would still need to assess the results to ensure that the text was understood contextually. In short, the emerging technology enables text analysis to be completed by trained AI to provide an accurate interpretation of the text in a fraction of the time.

How is Text Analysis Used?

Text analysis is exceptionally versatile. Organizations across multiple industries can leverage the power of text analysis to gain a better understanding of their customer experiences, whether they are products, advertisements, shows, or social assets. Text analysis can be used to explore the impact of a service or product on the public, whether good or bad. It goes further than simply ascertaining whether something is "good or bad;" it can be used to gain much more valuable and nuanced insights. By utilizing emotion measurement as a part of the text analysis process, organizations gain an in-depth look at what people feel about a particular product or service.

Taking the Canvs case study of the 2018 Super Bowl, it's easy to see how companies spanning the CPG, automotive, and all the industries in between can benefit from text analysis. Canvs used text analysis and its emotion measurement framework to derive insights about the public’s emotional reactions to ads posted on Facebook and Youtube. The analysis found that:

Facebook held a much higher audience reaction rate than Youtube.
Automotive ads gained the most "love" reactions by far with entertainment ads earning the least.
Brand categories could be evaluated against a Super Bowl ad benchmark to determine effectiveness.

These insights, which would have taken days to hand-code and interpret by humans, were delivered in a matter of hours after the event concluded thanks to the power of Canvs’ AI.

Why is this important?

Text analysis enables brands to assess audience reactions as they happen, giving them the power to determine whether live marketing campaigns are successful. Brands can then use their findings to make informed business decisions, such as maintaining campaign goals or determining campaign ROI. However, this is just the tip of the iceberg. Text analysis can be used to interpret the results of reviews, surveys, social media responses, and more.

How Does Canvs Handle Text Analysis?

Canvs handles text analysis very differently than traditional platforms. From the start, Canvs was dedicated to bridging the gap between NLP and the contextual analysis of so-called "unnatural language." Without the ability to understand the context in which language is used, text analysis could not provide an accurate interpretation. However, by leaning into the use of unnatural language to create a method of unnatural language processing, Canvs was able to exponentially expand the depth of insights that are possible with text analysis.

This can be seen not only in which types of text can be analyzed but where the analyzed text originates. Previously, businesses would be hard-pressed to find a way to accurately and efficiently perform text analysis of reactions on social media and other digital platforms, such as YouTube or Facebook. That's because the use of internet slang, emojis, and other forms of unnatural language made it impossible to discern the real meaning behind words.

However, Canvs scoured the internet for years, trawling billions of terms to create a massive knowledge base capable of understanding everything from phrases like, "That's lit!" to "I don't mean to throw shade but..." Moreover, by integrating machine learning, NLP, and creating a proprietary metric to assess emotional reactions, Canvs is able to perform powerful and nuanced emotion measurement with a framework of 42 emotions, so every open-end can be understood and used to drive insights.

Unlike some “black box” forms of text analysis, the data and insights that Canvs delivers are transparent and flexible, allowing its users to dive deeper into what customers are feeling. By thematically organizing emotional reactions by applying Topics, Net, and Codes, it’s possible to understand not just what consumers are saying about a brand or program, but drill down to explore specific elements. Benchmarking and sorting features like Crosstabs make it easy to compare one set of data to another, or layer in demographic information to see trends among different segments of the audience. It’s even possible to read verbatim what consumers are saying -- in short, there is no limit to what can be learned from the text analysis that the Canvs platform serves up.

Canvs helps businesses and brands leverage text analysis to deliver a better customer experience and ultimately become more empathetic. Interested in what Canvs can do for your organization? Learn more about our solutions today.

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Customer Video: How PODS Uses Canvs AI to Improve Customer Experience | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

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Introducing the Weekly Canvs AF* List™: a Rating of Top Programs and Talent Based on Emotional Reaction | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

Today, Canvs is introducing our new emotional measurement rating for TV streaming and talent: the Weekly Canvs AF List™. This rating is based on a proprietary measure of the most emotionally engaging programs from the previous week expressed as the Canvs AF Score™.

The Canvs AF Score, which combines engagement metrics such as Canvs’ Emotional Reactions and Reaction Rate, determines not just the most talked-about programs and talent of the week, but also which generated the highest levels of audience Emotional Engagement. This score is based on analysis from the Canvs AI insights platform, which uses artificial intelligence and advanced natural language processing (NLP) to analyze social conversations about TV programs and talent. Through this analysis, the Canvs platform not only identifies responses that express emotion but also which emotions are being expressed.

Because the AF Score factors in Emotional Reaction and Reaction Rate in addition to total conversation, we’re able to quickly identify emerging content. Additionally, Canvs’ unique ability to identify key drivers of audience reaction gives us the ability to produce a Talent rating that spans programs and platforms/networks.

The Canvs AF Lists provide a unique, emotions first, perspective into what programs and talent outperform the crowd in driving not just high levels of conversation, but high levels of passion. While other lists based on total viewership or viewership hours provide a view into what programs and talent were talked about, the Canvs AF Lists tackle the much more complex issue of what programs/talent had the greatest emotional impact on its viewers.

About the Canvs AF Score

The Canvs AF Score is expressed as a number generally in the hundreds and is based on a Z-Score combination of several Canvs AI metrics. The Canvs AF Score provides a normalized benchmark that can be used to determine a program or talent's engagement compared to the top programs and talent from the previous two years. For example, if a program or talent had a Canvs AF Score of 800, that would mean the program ranked in the 80th percentile when compared to historical programs or talent.

Additional Information on metrics within the Weekly Canvs AF Score:

The rank is determined by the streaming program and talent with the highest Canvs AF Score™ from the current week being tracked.
Compared to Previous Week references how the streaming program or talent ranked in the previous week and its improvement or decline in rank during the current week
An Emotional Reaction is defined as a dialogue response that contains one or more of Canvs’ 42 core emotions.
A Reaction Rate is defined as the percentage of posts and comments that express an emotion.
Emotional Reactions and Reaction Rate have been included in the full Canvs AF Lists for streaming and talent to provide additional context on the programs' performance.

*AF is short for All the Feels, a nod to the unique emotional measurement provided by Canvs AI.

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Canvs AI Product Tour - March 21, 2024 | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

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Canvs AI 2022 Recap: Open Ends to Core Insights | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

As Ferris Bueller so wisely said, "Life moves pretty fast. If you don't stop and look around once in a while, you could miss it." With those wise words in mind, we wanted to take a moment to reflect on 2022 at Canvs as we turn the page to 2023.

Text analytics continued to be a significant focus for the insights community, with Greenbook recognizing it as the #1 “emerging method” in its annual 2022 GRIT Insights Practice report. Driven by the need to keep pace with fast-changing consumer behavior and preferences, the value of AI-powered text analysis was reflected in the use of Canvs MRX. The total volume of open-ended responses analyzed by the Canvs platform increased by 2X from 2021! This growth is a testament to the increasing demand for our cutting-edge text analytics solutions, and we are proud to be able to help so many organizations transform open ends into insights. The top three research types analyzed with Canvs were audience feedback, NPS and customer satisfaction surveys, and brand research.

We are the most proud and excited about how our customers utilize Canvs to deliver insights and ROI for their organizations, and we’re tremendously grateful to those organizations for putting their trust in Canvs as a critical part of their research processes. We had the pleasure of sharing the amazing work of our customers with the insights community via events and conferences throughout 2022. We loved how these stories showcased the power of open-ended text to generate actionable, core insights. A few of our favorites include:

National Geographic presented on how this historic brand is using cutting-edge text analytics to capture subscriber feedback and manage its media brand.
PODS showed the power of text analytics in customer experience management, using Canvs to identify the root cause of customer satisfaction issues among its military customers.

Guided by customer usage and feedback, Canvs introduced a number of new and enhanced product capabilities all focused on making it easy and delightful to discover insights from unstructured text data. Key product highlights include:

Tracking & Compare for Canvs MRX, improving the ability to analyze and compare data sets and data over multiple waves (i.e. time series).
Connectors for Survey Platforms, making data imports from Qualtrics and Forsta/ Decipher platforms easier than ever.
Connectors for BI Platforms, providing direct integration with Tableau and Power BI allowing customers to work with their analysis in the way that works best for them.
Translation for Canvs MRX, allowing customers to analyze open-ended text from multiple languages directly on the Canvs platform.

AI-powered text analysis emerged as a critical component of the modern research technology stack thanks to new innovations and ever increasing ease-of-use. 2023 is shaping up to be another watershed year for text analytics and we’re heads down on new innovations to continue to support our dynamic customers in accelerating their time-to-insight from open ends.

Lastly, we would like to take a moment to again express our gratitude to our customers. You've trusted us with your data, given us feedback, and you've been a vital part of making core insights from open ends a strategic focus in 2022 and in the years ahead. Thank you for choosing Canvs AI as your text analytics solution!

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Customer Video: How Fossil Group Accelerates Consumer Insights and Empathy - TMRE @ Home | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

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New Series Comparison: Analyzing House of the Dragon and Lord of the Rings: The Rings of Power following their late Summer premieres | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

TL; DR

Currently, House of the Dragon is outpacing Lord of the Rings: The Rings of Power in generating commentary surrounding the programs. However, The Rings of Power has generated more Emotional Reactions and a higher Reaction Rate (passion rate).
House of the Dragon has seen significantly higher rates of positive Emotional Reactions such as Love and Excited. The Rings of Power has seen more negative Emotional Reactions such as Hate largely due to conversation about character portrayal and diverse casting decisions.
Based on early conversation surrounding both series, House of the Dragon has seen more conversation attributed to characters on the program such as Prince Daemon Targaryen, King Viserys Targaryen, and Princess Rhaenyra Targaryen

A month ago, Canvs took a look at two of the most anticipated fantasy series to possibly ever be released. The Game of Thrones prequel series House of the Dragon was released back in late August on HBO and HBO Max, while last week saw the release of Lord of the Rings: The Rings of Power on Amazon Prime Video. Despite The Rings of Power having higher levels of conversation on official trailers, we found higher engagement and excitement on Twitter surrounding House of the Dragon and predicted that it would outperform its competitor.

Now that both series have been released for at least a week, we will explore some of the early performance metrics surrounding these two fantasy series.

House of the Dragon is handily outpacing Lord of the Rings: The Rings of Power following both series’ late Summer premieres

So far, it is clear that House of the Dragon has been outperforming Lord of the Rings: The Rings of Power in generating higher levels of both Total Tweets in the early episodes of their respective seasons.

When comparing the week prior to and the week following the premiere episodes of the two series, House of the Dragon has earned over 1 million Total Tweets, 22% higher than The Rings of Power’s Total Tweet Count
Despite higher levels of Total Tweets directed at House of the Dragon, The Rings of Power is currently generating slightly more Emotional Reactions and an 8% higher Reaction Rate (passion rate among Tweets directed at the show)

Source: Canvs Content Page, 7 days prior to and after the release of House of the Dragon and The Rings of Power Read As: Surrounding the premiere of both House of the Dragon and The Rings of Power, House of the Dragon is currently outpacing The Rings of Power by 182K Total Tweets

While House of the Dragon has seen much more overall conversation attributed to the show prior to and following its premiere, it is clear that The Rings of Power audience is slightly more passionate in their conversations around the program. Below, we will dive into these Emotional Reactions to see what is causing the shift in Emotional Reactions between the two series.

**Fan’s Emotional Reactions have varied heavily between the House of the Dragon and The Rings of Power in the first**

The largest shifts in Emotional Reactions between the two series are in Love, Hate, and Excited. House of the Dragon earned 8% and 6% higher rates of Love and Excited Emotional Reactions respectively, where The Rings of Power saw 8% more Hate Emotional Reactions.

House of the Dragon’s Emotional Reactions of Love (35% of all House of the Dragon Emotional Reactions) and Excited (12% of all House of the Dragon Emotional Reactions) were generally attributed to people enjoying the premiere episode, without mentioning specific plot points or characters that they were fans of in the premiere. Some commenters noted that the new prequel series is much better than the final season of Game of Thrones, and are remaining cautiously optimistic about the new show.

House of the Dragon Verbatims

Excited: “Well I’m sold on House of the Dragon. Took me all but 5 minutes into the first episode. #HouseoftheDragon”
Excited: “House of Dragon is already picking back up with the original GOT energy. This is gonna be good!!”
Love: “House of Dragon was fantastic. I can't wait to see what the show turns into. #HouseoftheDragon”
Love: “The first episode of House of the Dragon is so lit I hope they don't ruin it in the end.”

Over 26% of conversation surrounding Lord of the Rings: The Rings of Power showed the Emotional Reaction Love. However, the new Lord of the Rings series saw much higher levels of Hate (11% of all The Rings of Power Emotional Reactions) compared to House of the Dragon.

Despite both shows introducing more diversity in their casting within the new programs and taking liberties with how characters are portrayed, Elon Musk’s Tweet about J.R.R. Tolkien “rolling over in his grave” stirred up quite a bit of controversy for The Rings of Power. All this controversy led to Elon Musk being mentioned in over 24% of Hate Emotional Reactions surrounding The Rings of Power.

Regardless of the controversy, both positive and negative early reviewers of The Rings of Power mentioned the show is slightly slower than the original Lord of the Rings and Hobbit franchises.

Lord of the Rings: The Rings of Power Verbatims

Love: “#RingsOfPower looks fantastic. It is a bit of a slow burner on the plot but a lot of world building to be done so I’ll stick around.”
Love: “Rings of Power- there’s a lot going on. I’m not a Tolkien die hard so I can’t say if it fits the canon, but it’s a great show.”
Hate: “@elonmusk Oh look the guy who couldn't buy Twitter thinks the new LOTR show is bad.”
Hate: “Genuinely curious: How did @PrimeVideo spend $1 billion on @LOTRonPrime and end up with such terrible CGI?”

Source: Canvs Compare, 7 days prior to and after the release of House of the Dragon and The Rings of Power Read As: House of the Dragon earned 8% more Love Emotional Reactions and 6% more Excited Emotional Reactions Compared to The Rings of Power, The Rings of Power saw an 8% higher rate of Hate Emotional Reactions

**Based on the early episodes, House of the Dragon has seen more conversation focused around its characters and the network itself**

Top character drivers for House of the Dragon include Prince Daemon Targaryen (mentioned in 2.9% of House of the Dragon Tweets), King Viserys Targaryen (mentioned in 1.9% of House of the Dragon Tweets), and Princess Rhaenyra Targaryen (mentioned in 1.6% of House of the Dragon Tweets).

The Rings of Power saw fewer character drivers mentioned, but Galadriel (mentioned in 1.9% of The Rings of Power Tweets) appears to be an early fan favorite in the series.

In terms of generating conversation directed towards the network, over 8% of Tweets mentioned HBO Max and over 5% of Tweets mentioned HBO for House of the Dragon. In comparison, The Rings of Power commentary only mentioned Amazon in 3% of all Tweets.

Feel free to explore the top topics from both series below in the interactive visualization.

As we expected after analyzing preliminary data for both of the programs, House of the Dragon appears to be the clear favorite in driving positive conversation on Twitter. Despite both programs diversifying their casts and taking some creative liberties with their character portrayals, House of the Dragon has been able to avoid the negative feedback due in large part to Elon Musk Tweeting his disapproval of the new Lord of the Rings series.

Both programs are still in their early stages, and Canvs will continue to analyze the shows throughout their entire seasons. Make sure to check back on Canvs periodically to see how fan conversation shifts as the seasons progress.

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Canvs AI Secures Funding to Operationalize Empathy for Insights & Experience Leaders | Canvs

Admin — Tue, 03 Dec 2024 05:58:03 GMT

Fulcrum Equity Partners leads $15 million fundraise to accelerate

growth for leading AI insights platform

September 27, 2023 — For consumer brands, empathy—understanding how your customer feels and why they feel that way—is one of most critical sources of differentiation. In fact, Tillamook, the modern dairy brand, has conducted a study showing that their most loyal customers are 85% more likely to say the brand understands them (and these “loyalists” have a 5 times higher lifetime customer value). But with 80% of consumer feedback coming in the form of unstructured “experiential” data via consumer surveys, support chats & transcripts and online reviews, organizations don’t have an “operating system” for this data (as they do for “transactional” data within CRM and accounting systems).

According to Gartner, Inc., over 80% of brands are unable to analyze their unstructured feedback, largely because its so difficult to process and gain insights from and that the "the ability to analyze unstructured data is a key competitive advantage."

That’s why we’re thrilled to share that Canvs AI has received a $15 million dollar investment led by Fulcrum Equity Partners to help accelerate the development, growth and adoption of our empathy operating system (OS), the Canvs AI Insights Platform. Additionally, Engage, an innovative corporate venture initiative from category-leading corporations like Coca-Cola, Delta Air Lines, Cox Enterprises, Inspire Brands, and The Home Depot, also participated in the round.

Canvs AI’s mission is to enable empathy by putting the power of understanding consumers' feelings in the hands of every business. Fortune 500 companies like CVS, Disney, Church & Dwight, ABInbev and Netflix use the Canvs AI Platform daily to analyze unstructured feedback from both consumers and employees. They report that their research productivity increases 20X while deepening their understanding of key stakeholders in their business.

The world’s leading companies have long understood the value of empathy to drive loyalty and boost customer lifetime value. However, most consumer feedback is trapped in noisy open-ended responses, fragmented and siloed across dozens of different sources. Canvs AI unlocks critical insights in unstructured feedback from virtually every source, using a combination of patented natural language algorithms and our newly released generative-AI co-pilot, AI Story Assist™, that presents users with an automated narrative about their data. Canvs AI has pioneerd the ability to investigate data with plain-language questions, and produce easily understood and quantifiable metrics into emotional reactions. Over the last year alone, Canvs has analyzed over 850 million pieces of open-ended text from surveys, social media and online comments on behalf of its brands.

https://vimeo.com/868467759?share=copy

Canvs AI is used across consumer research, insights, customer experience and employee feedback, including:

Tillamook uses Canvs AI across its insights work. In one study, the company analzed over 30,000 comments from consumer food diaries to identified the power of nostalgia in people’s relationship with food.

"Our most loyal customers are significantly more likely to say that Tillamook understands their needs, resulting in up to four times higher consumer value. Canvs AI has quickly become a critical part of how Tillamook achieves deeper consumer understanding by unlocking insights from open-ended text." Olivia Zabrodsky, Consumer & Market Insights Manager at Tillamook

PODS analyzes tens of thousands of customer comments from their feedback surveys each year to understand the root causes of customer satisfaction and/or service issues.

"Canvs provides our ‘why’ behind the score better than other text analytic tools in the industry.” Logan Fern, customer experience analyst at PODS

National Geographic uses Canvs AI to help manage the iconic brand in a modern media landscape. In one application, they analyze comments from subscriber surveys to understand why customer are or are not renewing their subscription. These comments help National Geographic better understand their subscribers and how their subscribers relate to the brand.

"Canvs gives us insights about our subscribers and our brand that just wouldn’t otherwise be possible. It’s allowed us to very deftly navigate the brand through a complex media environment while being responsive to the market.” Jessica Bates, Senior Director of Consumer Insights

Fandango uses Canvs AI to manage digital experience across its online brands, including the Fandango.com movie ticketing site, RottenTomatoes.com reviews and VUDU streaming service. In one project, Fandango collected open-ended feedback on site creative to identify the best-performing partner promotion.

"Canvs has allowed us to embrace open ends, which we traditionally did not do. It's given us a lot of great insights that we wouldn't have gotten otherwise." Margaret Wilhelm, Vice President of Insights at Fandango

We're incredibly grateful to have the opportunity to support so many great insights leaders across some really amazing brands! This funding provides resources to accelerate product development and customer success operations, meaning we'll be able to deliver even more value to these and other Canvs AI customers.

About Fulcrum

Fulcrum Equity Partners is an Atlanta-based growth equity firm that gives entrepreneurs the capital and hands-on support they need to take their companies further, faster. Fulcrum invests in healthcare services and B2B tech executives searching for $5 million to $30 million of equity in minority and majority growth opportunities. Fulcrum's partners believe in building businesses the right way, meeting teams where they are, and helping them imagine a bigger and brighter future by building the right systems, processes, teams, and culture. All of that starts with the right experience, the right support, and the right relationship. Learn more at http://www.fulcrumep.com.

About Canvs AI

Canvs AI is the leading insights platform for transforming open-ended consumer feedback into actionable business intelligence using advanced, AI text analysis. Canvs is used by some of the world’s most admired brands to accelerate time-to-insights, reduce cost, and deepen their understanding of consumers. For more information or to request a customized demo, please visit https://canvs.ai or email sales@canvs.ai.

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