DELRAY BEACH, Fla.--(BUSINESS WIRE)--Bidtellect, a paid content distribution and analytics company, today announced the release of expanded contextual targeting capabilities as a part of their new Forecasting 2.0 solution. Forecasting 2.0 advances previous generation functionality and features a wide range of selectable targeting and allowability options, as well as a true bid landscape showing estimated volume and spend for one day at different bid prices.
The technology’s forecasting capabilities allow the user to simply click ‘forecast’ after selections are made, and a graph will display Bid Price (available in CPM, CPC, vCPM, CPP, CPCV) vs. Impressions, Clicks, Spend, Viewable Impressions, Plays, and Completed Views. By showing differing results, users can tweak selections (pull a “lever” to increase or decrease scale) and thus plan a unique, customizable campaign and determine the optimal bid price. The upside of this is twofold: for Bidtellect platform users, it allows them to explore a very specifically targeted campaign and determine its possibility at varying budget levels, and two, Bidtellect can gain further understanding of how levers in the platform impact scale and price at certain budget levels.
Forecasting 2.0 further positions Bidtellect at the forefront of applying advanced data science to ad targeting optimization, as well as user- and customer-centric capability.
“The advanced capabilities of Forecasting 2.0 are the first of its kind across the Native and Content Delivery landscape,” says Mike Conway, Chief Technology Officer at Bidtellect. “The complexity, elegance, and effectiveness of our solution is not offered by any of our competitors. The advanced functionality positions our clients toward elimination of upfront Ad spend on learnings at the beginning of the campaign, giving them a head start toward effective delivery.”
“Contextual targeting is a critical tactic to drive successful Native campaigns,” adds Craig Aron, Senior Vice President of Strategic Business Development. “Laying on additional targeting parameters including Viewability, Ad Unit Type, JS tag compatibility, and Supply source can have a major impact on potential scale when it comes to Native. Having the ability to fully understand the Native bid landscape in a single platform gives Advertisers an edge that would be hard to obtain from a traditional display platform.”