Marketing Log: Difference between revisions
(Created page with "=Fri Mar 27, 2020= Hi Marcin – It seems as if it is possible to do Facebook look a like audiences also from who has liked your Facebook page, meaning we wouldn’t need to a...") |
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=Sat May 9, 2020= | |||
A good emergent strategy for OSE consistent with its Collaborative Design mission is to do Collaborative Marketing. Defined as 'we post products on your page, you post products on our page'. On one side, this could be just for free, or at a % for each side. Could be not equal perced, | |||
=Fri Mar 27, 2020= | =Fri Mar 27, 2020= | ||
Hi Marcin – It seems as if it is possible to do Facebook look a like audiences also from who has liked your Facebook page, meaning we wouldn’t need to ad it to the webpage if we only use that data. Not sure if it’s enough data but we can try. It also says that we can use manual .csv data, not sure what demands are on those data in terms of what needs to have collected but perhaps google analytics works, or even the one we have now, can be used for the same purposes. We can always try to start with using data from who likes the Facebook page. It would still be Facebook, but only using Facebook data which Facebook already has through their portal, as compared to gather new data for Facebook through our. We can try that, 1. Starting with Facebook ads look a like from who likes our page, 2. See if we can add the existing aws data. And then if nr 2. Doesn’t work or if 1. And 2. doesn’t provide good enough results, we can see if we can use google analytics data for promoting our Facebook ads. It wouldn’t be as integrated with events tracking and such all in one package, but we can try and see if it gets the job done. Andreas | Hi Marcin – It seems as if it is possible to do Facebook look a like audiences also from who has liked your Facebook page, meaning we wouldn’t need to ad it to the webpage if we only use that data. Not sure if it’s enough data but we can try. It also says that we can use manual .csv data, not sure what demands are on those data in terms of what needs to have collected but perhaps google analytics works, or even the one we have now, can be used for the same purposes. We can always try to start with using data from who likes the Facebook page. It would still be Facebook, but only using Facebook data which Facebook already has through their portal, as compared to gather new data for Facebook through our. We can try that, 1. Starting with Facebook ads look a like from who likes our page, 2. See if we can add the existing aws data. And then if nr 2. Doesn’t work or if 1. And 2. doesn’t provide good enough results, we can see if we can use google analytics data for promoting our Facebook ads. It wouldn’t be as integrated with events tracking and such all in one package, but we can try and see if it gets the job done. Andreas | ||
Revision as of 14:04, 9 May 2020
Sat May 9, 2020
A good emergent strategy for OSE consistent with its Collaborative Design mission is to do Collaborative Marketing. Defined as 'we post products on your page, you post products on our page'. On one side, this could be just for free, or at a % for each side. Could be not equal perced,
Fri Mar 27, 2020
Hi Marcin – It seems as if it is possible to do Facebook look a like audiences also from who has liked your Facebook page, meaning we wouldn’t need to ad it to the webpage if we only use that data. Not sure if it’s enough data but we can try. It also says that we can use manual .csv data, not sure what demands are on those data in terms of what needs to have collected but perhaps google analytics works, or even the one we have now, can be used for the same purposes. We can always try to start with using data from who likes the Facebook page. It would still be Facebook, but only using Facebook data which Facebook already has through their portal, as compared to gather new data for Facebook through our. We can try that, 1. Starting with Facebook ads look a like from who likes our page, 2. See if we can add the existing aws data. And then if nr 2. Doesn’t work or if 1. And 2. doesn’t provide good enough results, we can see if we can use google analytics data for promoting our Facebook ads. It wouldn’t be as integrated with events tracking and such all in one package, but we can try and see if it gets the job done. Andreas