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You’ve done the hard work – you’ve taken the time to understand your target audience, you’ve identified white space opportunities, and you’ve created a master branding strategy for your grocery product. The website is optimized, ads are targeted, and your product is searchable. So why isn’t it selling?
Often, companies neglect one of the most important steps in the buying journey – the Product Detail Page (PDP). The PDP is essential, as it is the place where consumers decide to buy or not to buy. In this infographic, you will find 9 common reasons why grocery PDPs have a conversion problem. Discover some of the most common pitfalls on ecommerce PDPs and learn how to avoid them to maximize product conversion.
Pharma brands invest millions in understanding HCP behaviors and preferences but often miss the human side of the professionals they’re targeting. Can true customer-centricity be achieved without recognizing the person behind the HCP?
Our data-backed infographic on the Changing Landscape of Physicians in America over the last 40 years provides insights into the human aspects of doctors, using data from numerous studies to tell their story.
If your goal is to connect with HCPs not just as professionals, but as people, and create experiences that build trust and loyalty, these insights are invaluable!
The market research industry has undergone a digital transformation of its own over the past decade. Ten years ago, the majority of market research was project-based and was implemented by custom market research providers on behalf of their clients. Today, most clients use “always-on” do-it-yourself market research platforms powered by agile technology, real-time data analytics and cloud computing.
But how well is the market research industry utilizing the latest advances in artificial intelligence and machine learning to shake up the status quo? Compared to some other industries like healthcare and automotive where AI/ML has made tremendous inroads already, the market research industry is still in the early stages of adoption of AI/ML.
In this fascinating infographic, the adoption of AI/ML in market research is explained through the top 16 use cases, organized in increasing levels of AI/ML application. The infographic simplifies a complex landscape and makes it easy for the insights community to learn about all the important use cases of AI/ML in market research.
Brands often invest a lot of time with their marketing teams and ad agencies whittling down and refining the number of messages they plan to take into testing. More often than not, they’re left wondering if they might be missing out on a great message.
Whether it is the danger of leaving out potentially winning messages out of a research study or having to compromise on the optimal message bundles and story flow, there are many reasons to adopt the use of Newristics' CMO.
Choose Message Optimizer is the only patented message testing algorithm designed exclusively for pharma messaging and the biggest innovation in message testing in 20+ years.
Look through this infographic to learn why CMO is the perfect way to test your messages in research and optimize your messaging campaign
Bringing carefully optimized messaging campaigns to market is not easy and requires perfection from insights to action - which is why many brands end up settling for messaging that is less than optimal.
Check out this infographic to explore the potential barriers to optimizing every step of the messaging cycle. To overcome these barriers, brands need to leverage the power of science, algorithms, and technology.
Newristics is the preferred message optimization partner of the pharma industry. Combining the power of messaging science and algorithms, Newristics helps pharmaceutical brands bring the best messaging to market.
AiGILE Messaging is a subscription service designed to improve pharma messaging. 100+ market research and in-market studies showed that messaging developed by AiGILE was superior to all other messaging and often resulted in 2-3x improvement.
AiGILE uses a combination of behavioral science and AI to improve your pharma messaging.
Check out our infographic on why AiGILE is the best marketing investment you can make in your brand. Leverage AiGILE for 100s of use cases and optimize any of your communications under one subscription - Any team. Any content format. Any stakeholder. Any channel.
Every messaging improvement you receive is guaranteed to be better and ready to use. But that's only one reason for you to choose AiGILE. Learn about the seemingly unending ways you can utilize your AiGILE subscription for the most impactful results.
All major brands have 80% Good Messaging, but only some brands have messaging that is 100% Great. The difference? Winning brands don’t have better creative agencies, they optimize their messaging using science and algorithms on top of the creative. Check out this infographic to learn about the challenges associated with taking your messaging from 80 to 100.
AiGILE uses a combination of behavioral science and AI to improve your messaging by 2-3X.
Proven in 100+ studies, AiGILE can improve your messaging by up to 2-3X. Now with Newristics' AiGILE service, you don't need to settle anymore!
Message testing research needs a major upgrade in the pharmaceutical industry. Choose Message Optimizer (CMO) is the only patented message testing algorithm designed exclusively for pharma messaging and the biggest innovation in message testing in 20+ years.
Check out this infographic on why CMO is Faster |Cheaper | Better |Easier than all other message testing methodologies created so far. Designed specifically for pharma message testing, CMO is the only algorithm that uses behavioral science and machine learning to test messages. When tested head-to-head against competitive benchmarks:
In a meta-analysis of 50+ studies, CMO messaging beat controls 100% of the time and improved messaging effectiveness by an average of 74%.
Whether you are launching a new drug, preparing for an LCM event, or just refreshing your messaging, one CMO study can replace multiple rounds of qual and quant research, saving $100,000+ and 13 weeks on average. Click here to explore CMO!
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