Yandex Market will show the most likely results. A of a media advertising campaign when it is create: a “Forecast” widget will appear in the . A Personal Account .
Advertisers will be able to find out the expect . A number of banner impressions, reach and SOV (share of voice, the ratio of predict . A impressions to market capacity in percentage terms).
Of course, such a tool will help to distribute the advertising
Budget in the most profitable. A way and marketing directors email lists better develop advertising campaigns: when . A evaluating an advertising campaign, Yandex Market algorithms will take into account several of its. A parameters at once (from budget and duration to display geography), and changing one will entail a recalculation of the forecast.
But there is a nuance: the recommend rate for 1000 impressions will be use in the calculation. If you reduce it, the number of predict what is adwords and how can it boost your website impressions will also decrease, which the advertiser will be notified about by the corresponding banner.
“Forecast” is available when creating both classic auction banner campaigns and click out banners leading to websites or applications.
VKontakte is the most promising social network in Russia
According to the ratings of AKAR and ROCIT , VKontakte is the most promising social network in the Russian Federation.
It is followed by Telegram and YouTube, VK Video and VK Music.
Once popular banned social networks executive list are outside the top 10, having significantly weakened their positions: users have switched their attention to accessible platforms, and this is not surprising.
By the way, you can learn from this material how a B2B company can avoid making mistakes with the platform during SMM promotion and maximize its effectiveness.
Despite the fact that approximately
half of respondents do not sufficiently understand the principle of operation of recommendation systems, 68% of respondents are confident that search results, for example, on marketplaces, really take into account their preferences.
And only 17% of study participants believe that such algorithms work poorly and provide recommendations that are diametrically opposed to their interests.
It is also important that 44% of respondents are willing to share information about themselves in order to receive a more favorable personal offer.