| Advert location<\/td>\n | Click thru Rate<\/td>\n<\/tr>\n |
| Top Banner Main Page<\/td>\n | 0.23%<\/td>\n<\/tr>\n |
| Side advert Main Page<\/td>\n | 0.30%<\/td>\n<\/tr>\n |
| Custom<\/td>\n | 0.37%<\/td>\n<\/tr>\n |
| Interstitial<\/td>\n | 5.70%<\/td>\n<\/tr>\n |
| App List<\/td>\n | 7.14%<\/td>\n<\/tr>\n |
| Panels<\/td>\n | 12.60%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n <\/p>\n ((Bea.F.,2013)<\/p>\n Prices might vary according to the location of the advert. Clearly, advertising your product or services on the panel would cost little bit more than the top banner as CTR on panels are a lot more.<\/p>\n Advert Revenue Calculation<\/strong><\/p>\n This is a hierarchal structure and you will see number of users decreasing as calculation move forward. Let’s depict the calculation per 30,000 users who will sign up to the application.<\/p>\n According to the Stanford venture Lab 90% of the users download the application (sign up). Out of this 90% – 80% will\u00a0have Internet connection on a regular basis. So let’s do some calculations now based on these figures.<\/p>\n 0.9 X 0.8 X 30,000 = 21,6000<\/p>\n So now our actual users are only 21,600 people<\/strong><\/p>\n Now lets focus on time. 5 Minutes = 600 seconds\/ 30 seconds = 10 (To find ad depiction<\/strong>)<\/p>\n 10 X 21, 600 = 216,000 ad representation<\/strong><\/p>\n According to Stanford venture lab only 10% of the people actually carry on using the application after download and out of that only 80% actually have internet connection at all times.<\/p>\n 30,000 X 0.10 X 0.8 = 2,400<\/strong><\/p>\n According the lab normally people use the application for about 10 minutes a day, which is a lot more when it comes to social media but we will stick to 10 minute for the sake of calculations just say for 25 days a month.<\/p>\n 10 X 25 = 250<\/strong><\/p>\n Each advert lasts for 30 seconds so now we are going to multiply 250 by 2 = 500 ads per person.<\/strong><\/p>\n Now we are going to multiply our actually users with potential users<\/strong>\u00a0<\/strong><\/p>\n 8000 X 500 = 4,000,000<\/strong><\/p>\n Calculate the revenue per 30,000 users<\/strong>\u00a0<\/strong><\/p>\n 21,6000 + 4,000,000 = 4,216,000<\/strong><\/p>\n if we say \u00a32 per 1000 advert<\/strong><\/p>\n 4,216,000\/ 1000 X 2 = \u00a3 8432 per 30,000 users<\/strong><\/p>\n (Gleeson.P.,2015)<\/p>\n \u00a0<\/strong>Reference<\/strong><\/p>\n Bea.F.,2013. What is an average mobile ad click-through rate?. Available from: http:\/\/appflood.com\/blog\/average-ctr-by-ad-formats<\/a> [Accessed on 26th april 2015]<\/p>\n <\/p>\n Gleeson.P.,2015 . How to calculate mobile ad revenue. Avaliable from: http:\/\/smallbusiness.chron.com\/calculate-mobile-ad-revenue-74440.html<\/a> [Accessed on 26th april 2015]<\/p>\n <\/p>\n <\/p>\n <\/p>\n <\/p>\n \u00a0<\/strong><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Advertising Revenue Advert location Click thru Rate Top Banner Main Page 0.23% Side advert Main Page 0.30% Custom 0.37% Interstitial 5.70% App List 7.14% Panels 12.60% ((Bea.F.,2013) Prices might vary according to the location of the advert. Clearly, advertising … Continue reading |