We're proud to introduce SIGNUM for Restaurants, the best-in-class data set drilling deep into the voice of the buyer across the restaurant category.
The restaurant industry – including quick-serve, fast casual, and casual dining establishments – faces unprecedented challenges. Across the board, brands must compete with an increasingly complex and hard-to-anticipate set of competitors, offerings, and consumer preferences.
Quantifind, the company helping marketers eliminate their competitive blind spots and discover how to steal market share by focusing on only the data that drives revenue, today announced it has appointed Jim Harold as Chief Revenue Officer and Paul Emery as Vice President of Engineering. Both will be responsible for continuing to drive the company toward revenue growth and product innovation.
“Storytelling” is one of the most hackneyed buzzwords in our industry. Pundits employ the term to refer to everything from anecdotes and case studies to persona-based marketing.
Welcome to QF(x), Quantifind’s official technology blog. This is the first of a series of blog posts where we will cover different aspects of our platform, including the products and solutions we are working on to help marketers make better business decisions informed by the voice of intelligent data and their own intuition.
Today seemed an appropriate day to start this blog, as we’ve just announced the general availability of our flagship SIGNUM Analysis product, which helps marketers explore, understand and change their impact on revenue in real time. What’s most exciting to me is that our platform solves a problem that the industry has been trying to solve for a long time—connecting marketing with revenue results.
It may sound crazy coming from a marketing analytics company like Quantifind, but today’s marketers simply have too many facts and figures at their disposal. We’ve finally moved beyond that tipping point where the human capacity to absorb and act on data has become over-saturated with a flood of dashboards.
Today’s CMOs face pressure to produce the kind of real-time, data-driven strategies that used to appear only in science fiction – so it’s appropriate that Adobe VP Mickey Mericle turned to a classic sci-fi work, The Hitchhiker’s Guide to the Galaxy, to explain why so many marketers still struggle to turn analytics into insights.
Marketers know consumer data contains valuable insights — but they also know that finding those insights is incredibly hard because most of the data is just noise. Sound painfully familiar? If so, you won’t want to miss Quantifind at the Marketing Analytics and Data Science Conference, running June 8-10 in San Francisco at the Hilton, Financial District. Quantifind will take the stage with Pepsi, one of its flagship clients, to discuss why Explanatory Analytics can help marketers cut through the clutter.
Devotees of B movies will no doubt remember the culminating moment in the 2006 film Snakes on a Plane. “That’s it! I’ve had it with these m***********g snakes on this m***********g plane!” Samuel L. Jackson’s character infamously bellows, understandably exasperated after hours spent battling serpents at 36,000 feet.
As fed up as Jackson was with snakes, today’s marketers are feeling equally exhausted by data. We’ve spent years collecting and scrutinizing data – tallying clicks and Retweets, peering at dashboards full of visualizations, you know the drill.
Everyone knows the Olympics aren’t just a series of competitions to anoint the best athletes, but also the World championships of brand advertising. On the Monday after the summer fortnight, people around the water cooler will be talking more about the ads than the events themselves.
But do all those hundreds of millions of dollars spent on ads really produce ROI for sponsors? Those answers have been historically -- and notoriously -- elusive for marketers. Social listening platforms can only share metrics on fluffy concepts like buzz and reach.
Today, innovative approaches are helping brands to directly measure how paid sponsorships can affect the bottom line, down to the dollar. The process starts with measuring revenue-driving conversations within target audiences on platforms like Twitter.
So how does it work?