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Ad networks is strengthened via yield optimization… agree or not?

Ad networks

Digital display advertising is experiencing an uprising. One of the crucial space in which technology is affecting online media is in yield optimization. The digital media has reformed radically for brands, media agencies and publishers in the last few years due to the introduction of the concept of real-time bidding (RTB). There are many questions which revolve around this, such as, what is the best technology and platform available to monetize? How does this approach praise my premium sales strategy? What about the unsold inventory?

With immense growth in real time bidding in these many years, it has created a great deal of pressure on publishers to keep up. Due to this ongoing change there are many complex decisions that publishers have to make for their display advertising models. To help these publishers out the term reorganizing and re-evaluating policies were introduced. Nowadays all transactions take place in real time. So, publishers have the chance to put strategies in place which will allow them to always get the highest yield in return for their impressions.

It has become essential for publishers to have a superior sales strategy, without ignoring the opportunity of automatic trading. It is a matter of making smart strategic decisions for the long term but also having a contingency short term strategy which will bring in steady outcomes. At Vertoz, yield optimization is focused on inventory measured by the direct sales team. It is an interesting step as it focuses on enabling publishers to predict, manage and optimize this premium inventory.

Visualize the optimization and heavy data inbound as publishers and advertisers look at the opportunity during the trading in the digital market. Here is where budding optimization companies will be well-placed to inform inventory holders about it. Good yield optimization maximizes revenue production regarding the same number of units. This is done via forecasting of high and low demand periods.