Thousands of SKUs supported by tens of thousands to millions of keywords make retail the most complex environment to pull off a successful paid search program. Along with landing pages, ad text and quality scores, there are the millions of daily keyword pricing decisions you need to make. Bidding too high, or too low will, will not look good on the bottom line. Retailers that use OptiMine to make the pricing decisions for them are seeing dramatic improvements in financial performance.
Read the case studies to learn about the challenges overcome and the results delivered. Go here to see how other retailers have benefited from using OptiMine.
Managing paid-search bids for highly seasonal keywords can be a time-draining task. Where some retailers are willing to incur costs during the off-season, others pause and unpause campaigns to avoid paying for clicks that rarely convert. Read how this niche clothing retailer overcame the challenge through individual keyword level modeling.
Daily, weekly and seasonal events can change the bid dynamics of paid-search campaigns in ways that are hard to predict and nearly impossible to quantify. That means cost of sales can be subject to wide swings and fluctuations with volume and conversion rate changes. Read the case study and see how this online retailer of hair care, cosmetics, fragrance and body care products beat it cost of sales goal while increasing YOY Revenue.
By 2010, this online subscription service was struggling due to a dramatic increase on competition. New sales and customer acquisitions were falling short of goals. Read the case study to find out how OptiMine reversed the trend while reducing cost per acquisition.
Retailers need to make the most of the coveted holiday shopping season. For many it’s a make-or-break time. This specialty retailer enjoyed their best-ever Cyber Monday and most profitable December after implementing OptiMine. Read case study to find out how OptiMine helped this specialty retailer achieve new levels of financial performance success.
The customer was convinced there was untapped revenue in the tail, but their incumbent bidding system was unable to find it. OptiMine’s individual keyword-level multivariate approach resulted in significant financial gains over the incumbent’s rules-based optimization. Read the case study for the details.