Get the Most Accurate Ratings Forecasts with our Revolutionary TV Trading and Analysis Software

More Accurate than
Recent Weeks
More Accurate than
Same Time Last Year
Stuart Lewis

“My personal challenge was to see how fast, easy and relevant we could make TVmap, to meet the real world needs of my media colleagues.”
Stuart Lewis, TVmap Founder

View the TVMap Suite

What our customers are saying...

I always find TVmap very helpful to deal with and the software very easy to use. We require customisation to deal with our unique needs and TVmap have always been able to provide a fast and efficient solution.
Steve Carter
Research Manager, Sky TV
We found it easy to get up and running with TVmap and we are getting a lot of value from competitive data, audience analysis and the TV buying modules.
Sean McCready
TVmap is crucial for our B2B relations. All our clients use it and TVmap allows us to easily share our data. With such great add-ons like TVmail downloads, my workload has halved and our clients no longer have to manually load our data into their systems. TVmap is an essential tool for any serious agency or supplier. It makes our product more relevant to the market and adds a new level of professionalism to our business operations.
Shaun Buffett
Advertising Services Coordinator. Maori TV

* Our most recent NZ study quantified the accuracy of TVmap forecasting in comparison to traditional methods. The study involved calculating ratings forecasts for more than 157,000 individual timeslots, using six different methodologies and then comparing these with the actual ratings achieved.

Of the 38 top-level scenarios analysed in this study, TVmap outperformed ‘Same Time Last Year’ in 37 of 38. TVmap outperformed ‘Recent weeks without seasonal adjustment’ in 37 of 38 and was equal in the remaining scenario. Overall, TVmap’s forecasting engine proved to be more accurate than traditional methods of forecasting ratings; specifically 24.4% more accurate than using ratings from the same time last year and 35.8% more accurate than using recent weeks analysis.