Dash Pricing & Promo Analyzer.

NOTE: This is in beta! Please reach out to us with feature requests, and we'll give you our full attention!

"Optimal pricing and promotions, handed to you."

Did you know that prices and discounts that result in increased signups are different from those that result in increased profits? Indeed, prices that lead to growth are generally lower than prices that increase revenue, which in turn are lower than prices that increase profits.

Leading ecommerce businesses have secured the top spot by making use of dynamic pricing and promotions, so they can strategically undercut the competition or pad their margins—whichever the market can bear for the moment. They got there by investing $millions in Data Science research and talent. If you've tried to develop and instrument these ideas yourself, you know that the data is noisy, data pipelines are fragile, and controlled experimentation is impossibly tricky. So you end up guessing and hoping you're making good choices.

Fortunately, Dash Price & Promo Anayzer does all the hard work for you. Our team originated the dynamic pricing algorithms at several of your favorite marketplaces, and now we're handing you the secrets so you can outdo your competition—without hiring costly Data Science talent!

How it works

Dash Price & Promo Analyzer is a dependable complement to your Business Analytics team, feeding you pricing and promotions suggestions, backed by analysis, and accompanied by estimated payoffs. To accomplish this, it

• continually reads your historical prices and promotions, as well as the resulting sales and profits,
• continually analyzes those patterns to isolate the estimated impact of each price and promotion on your bottom line,
• periodically feeds you suggestions on what to tweak to increase ROI most dramatically,
• estimates the impact of those suggestions,
• implements any of the suggestions on your behalf, if you choose.

If you choose to accept a suggestion, Dash Price & Promo Analyzer will either conduct an experiment (an "A/B" test), or migrate toward the suggested prices and discounts stepwise, while ensuring actual outcomes are in line with predicted outcomes.

NOTE: This is in beta! Please reach out to us with feature requests, and we'll give you our full attention!