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It’s that time again: the monthly marketing staff meeting where the growth team, content team, web team—you get the idea—will showcase their latest metrics. How are our efforts in these respective areas moving the needle?
While no two market research projects are exactly the same, virtually every successful initiative will follow a similar structure. It’s a structure used by Fortune 50 companies all the way down to ambitious startups looking to shake up an industry, and it’s one that you can adopt for your business too.
Despite national conversations about a lack of women in tech, women remain largely underrepresented in STEM roles , according to a study by the National Science Foundation. And the pipeline doesn’t suggest a near-term correction, as only 19% of computer science degrees were awarded to women in 2016, down from 27% in 1997. Women also typically make less than their male counterparts in science, engineering, mathematics, and computer science occupations — with an average median salary of $66,000 pe
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AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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Long gone are the days when the fashion executive could set her product lines seasons in advance of a debut with shoppers. The trend towards individual expression fueled by social media combined with a couple of decades of priming by fast fashion brands has led us to a ravenous appetite for dynamism. The legacy seasonal […]. The post Digital Trend Foresights: Listening to Signals Left Behind by Shoppers & Competitors appeared first on Blog.
Long gone are the days when the fashion executive could set her product lines seasons in advance of a debut with shoppers. The trend towards individual expression fueled by social media combined with a couple of decades of priming by fast fashion brands has led us to a ravenous appetite for dynamism. The legacy seasonal […]. The post Digital Trend Foresights: Listening to Signals Left Behind by Shoppers & Competitors appeared first on Blog.
In our first installment of the Crayon Customer Corner, we sat down with Carolyn Klinger, Director of Market and Competitive Intelligence at Affinity. Carolyn recently purchased Crayon for the second time , but that’s not the primary reason we wanted to chat with her. As someone who has led CI and market intelligence initiatives at several fast-growing companies, we wanted to learn more about successful CI analysis from Carolyn and how she provides exceptional analysis to get results.
Many of the world’s top-performing companies share one thing in common: they closely track the activities of their rivals by conducting competitor analysis exercises regularly.
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You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
You may have heard by now that Instagram has added an Instagram Reel Ad feature. And with it, your Reel Ads will be placed in the most popular places for Reels content. This means you’ll be reaching more people, creating more impact, and getting in front of audiences that haven’t engaged with you before. The best part? It will feel like a seamless user experience when you do.
This article is featured in Washington Technology in March 2022. It was written by Brian Lindholm , Managing Principal. Over the last 10 years in business, I’ve had the opportunity to analyze many contract pursuits before and after award decisions are made. Pursuing and winning a federal contract is by no means easy…ever. Even the best competitors manage to have an Achilles’ Heel which leads to their downfall. .
Product marketing is easily one of the most cross-functional (and busy) roles in an organization. Product marketers have to juggle the messaging and positioning of products, lead product launches and help drive adoption, manage competitive intelligence programs, develop sales enablement materials, and so on. In other words, multitasking – strategically – is the name of the game for product marketers.
Best competitor analysis tools. Crunchbase. FactSet. Visualping. SEMRush. LexisNexis. PowerBI. Knowledge360 ?. Competitor analysis plays a vital role in the strategies of many of the world’s leading firms, acting as an important input into key strategic decisions. But as the industries that businesses compete in become increasingly complex, it’s more important than ever that competitive intelligence analysts like you embrace tools that enable you to deliver high-quality insight in real-time.
In a world where uncertainty and change are constant, scenario planning empowers companies with the agility and competitive edge needed to thrive. Download the toolkit to fortify your business strategy , set up your competitive positioning , and ensure your company is poised to respond to any future scenario.
The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO. “The chief data officer is the senior person, with a business focus, who understands the strategy and direction of the business, but their focus is on how to underpin that with data,” says
Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.
When buying anything online or offline, one of the first things that we’re conditioned to do is to search online and find reviews about that particular item. If what we’re looking for has favorable reviews, then we wouldn’t bat an eye and immediately initiate a purchase. But if there were only a couple of negative reviews, then we wouldn’t be interested in making a purchase, at least from that specific vendor.
The Great Resignation has created one of the hottest labor markets in living memory. As candidates explore their options and leaders seek to fill newly vacated seats, speed-to-engagement has become one of the most critical elements of the recruitment process. Like with sales, being early to conversations with candidates improves your chances. With the average hiring cycle close to 29 days , shortening this timeframe, while maintaining the quality of the candidate’s experience, can result in big
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Types of market research. Exploratory market research is geared toward uncovering new ideas and testing assumptions. Primary market research is when you use various techniques to directly collect data from a large number of participants. Secondary market research (also: “dark research) uses existing sources of information to build a more complete understanding of the topic being researched.
Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.
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