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Вміст надано Sajid Islam. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Sajid Islam або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.
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[Ep69/9Aug21] - New Requirements for Google Podcasts Recommendations & Other Digital Marketing Updates from the Week of Aug 9, 2021

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Manage episode 300017455 series 2839121
Вміст надано Sajid Islam. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Sajid Islam або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

1. Instagram Rolls Out Limits Feature to Prevent Abuse - Instagram announces 3 new features to help protect people from abuse :

  • The ability for people to limit comments and DM requests during spikes of increased attention
  • Stronger warnings when people try to post potentially offensive comments
  • The global rollout of our Hidden Words feature, which allows people to filter abusive DM requests

2. Facebook Announces First-Ever #BuyBlack Summit - As part of its expanded effort to support Black business owners as they deal with the ongoing impacts of the pandemic, Facebook has announced a new #BuyBlack Summit, an all-day event that will provide advice and guidance for Black-owned businesses, to be held on August 24th. Sign up for the event and learn more https://buyblacksummit.splashthat.com/

3. Facebook Shares New, Privacy-Focused Approach to Advertising - The spin from Facebook is that they are helping to provide more insight within the data limitations in place after Apple’s ATT. And now they are developing a set of privacy-enhancing technologies (PETs) for ads, which will minimize the amount of data gathered and processed, in order to help protect personal information, while still facilitating insight into campaign performance. They are:

Secure Multi-Party Computation (MPC) - allows two or more organizations to work together while limiting the information that either party can learn. MPC is useful for enhancing privacy while calculating outcomes from more than one party, such as reporting the results of an ad campaign or training a machine-learning model where the data is held by two or more parties.

Today, this type of reporting requires at least one party to learn which specific people made a purchase after seeing a specific ad. With MPC, say one party has the information about who saw an ad and another party has information on who makes a purchase. MPC and encryption make it possible for both parties to learn insights about how an ad is performing, without the need to entrust a single party with both data sets. Last year, they began testing a solution called Private Lift Measurement, which uses MPC to help advertisers understand performance.

On-Device Learning - trains an algorithm from insights processed right on your device without sending individual data such as an item purchased or your email address to a remote server or cloud. For example, if lots of people who click on ads for exercise equipment also tend to buy protein shakes, on-device learning could help identify that pattern without sending individual data to a Facebook server or cloud. Then, Facebook can use this pattern to find an audience for protein shakes using ads. Similar to a feature like autocorrect or text prediction, on-device learning improves over time. As millions of devices each make small improvements and start to identify new patterns, these patterns can train an algorithm to get smarter so you may see more ads that are relevant to you and less that aren’t. On-device learning data can be further protected by combining it with differential privacy.

Differential Privacy - is a technique that can be used on its own or applied to other privacy-enhancing technologies to protect data from being re-identified. Differential privacy works by including carefully calculated “noise” to a dataset. For example, if 118 people bought a product after clicking on an ad, a differentially private system would add or subtract a random amount from that number. So instead of 118, someone using that system would see a number like 120 or 114.

Adding that small random bit of incorrect information makes it harder to know who actually bought the product after clicking the ad, even if you have a lot of other data.

4. Video Calling on LinkedIn Is Now a Reality - After adding support for various third-party video providers over the last year in order to facilitate video meetings in the app, last week, LinkedIn quietly rolled out a new, native video option within its messaging platform, which provides another way to connect with users, without the need to download a separate video app.

As explained by LinkedIn:

"From an initial job search to a 1:1 conversation, we wanted to drive the productivity of our members end to end while keeping them safe. By adding video conferencing as a part of the messaging experience, members can connect virtually while maintaining the context of their existing conversation. Now, members can easily schedule free video meetings with their network without the need to download a client or sign up to any service."

5. Google Search Console May Contain Bot Traffic Data - Google's John Mueller confirmed that Google Search Console does not filter out all bot traffic. John said on Twitter in response to someone suspecting seeing bot traffic in the Performance report, "sometimes it can be from bots - we don't necessarily filter all of that out in Search Console."

6. Google Ads attribution models now support YouTube and Display - Attribution is a common issue for search marketers and continues to be muddied as more of the web focuses on privacy. The ability to model your attribution journeys through YouTube and Display will help marketers determine which channels to invest in and which channels could use a different strategy.

As of August 9, Google Ads has upgraded all non-last click models, including data-driven attribution, to support YouTube and Display ads. In addition to clicks, the data-driven attribution model also measures engaged views from YouTube.

Along with knowing which channels are contributing along the buyer journey toward a final conversion (whatever that looks like for your business), the new inclusions mean that “when used along with automated bidding strategies or updates to your manual bidding, data-driven attribution helps to drive additional conversions at the same CPA compared to last click.”

7. YouTube Updates Default Settings on Kids Content, Implements New Restrictions on Promotions - YouTube has announced some new measures to assist in protecting young users from questionable content and unwanted exposure on the platform, with new default privacy settings for uploads by young people, and new reminders and prompts to help avoid overuse.

First off on the new upload settings - in the coming weeks, YouTube says that it will upgrade the default privacy settings for uploads from users ages 13-17 to 'the most private option available'.

So kids can still mitigate the defaults, but by using this as a starting point, YouTube's hoping to ensure that younger users gain more awareness of the risks involved in such, potentially limiting unwanted exposure in the app.

YouTube's also looking to tackle overuse, with the addition of 'take a break' and bedtime reminders, also by default, for all users ages 13-17. So, again, savvy youngsters can just switch these settings off if they choose - and most of them are far more savvy and attuned to such than their parents. But by implementing new defaults, YouTube's looking to increase awareness of its various options in this respect, with a view to improving safety.

And finally, in what may be a big blow for kidfluencers, YouTube's also removing more commercial content from YouTube Kids.

...

  continue reading

203 епізодів

Artwork
iconПоширити
 
Manage episode 300017455 series 2839121
Вміст надано Sajid Islam. Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Sajid Islam або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.player.fm/legal.

1. Instagram Rolls Out Limits Feature to Prevent Abuse - Instagram announces 3 new features to help protect people from abuse :

  • The ability for people to limit comments and DM requests during spikes of increased attention
  • Stronger warnings when people try to post potentially offensive comments
  • The global rollout of our Hidden Words feature, which allows people to filter abusive DM requests

2. Facebook Announces First-Ever #BuyBlack Summit - As part of its expanded effort to support Black business owners as they deal with the ongoing impacts of the pandemic, Facebook has announced a new #BuyBlack Summit, an all-day event that will provide advice and guidance for Black-owned businesses, to be held on August 24th. Sign up for the event and learn more https://buyblacksummit.splashthat.com/

3. Facebook Shares New, Privacy-Focused Approach to Advertising - The spin from Facebook is that they are helping to provide more insight within the data limitations in place after Apple’s ATT. And now they are developing a set of privacy-enhancing technologies (PETs) for ads, which will minimize the amount of data gathered and processed, in order to help protect personal information, while still facilitating insight into campaign performance. They are:

Secure Multi-Party Computation (MPC) - allows two or more organizations to work together while limiting the information that either party can learn. MPC is useful for enhancing privacy while calculating outcomes from more than one party, such as reporting the results of an ad campaign or training a machine-learning model where the data is held by two or more parties.

Today, this type of reporting requires at least one party to learn which specific people made a purchase after seeing a specific ad. With MPC, say one party has the information about who saw an ad and another party has information on who makes a purchase. MPC and encryption make it possible for both parties to learn insights about how an ad is performing, without the need to entrust a single party with both data sets. Last year, they began testing a solution called Private Lift Measurement, which uses MPC to help advertisers understand performance.

On-Device Learning - trains an algorithm from insights processed right on your device without sending individual data such as an item purchased or your email address to a remote server or cloud. For example, if lots of people who click on ads for exercise equipment also tend to buy protein shakes, on-device learning could help identify that pattern without sending individual data to a Facebook server or cloud. Then, Facebook can use this pattern to find an audience for protein shakes using ads. Similar to a feature like autocorrect or text prediction, on-device learning improves over time. As millions of devices each make small improvements and start to identify new patterns, these patterns can train an algorithm to get smarter so you may see more ads that are relevant to you and less that aren’t. On-device learning data can be further protected by combining it with differential privacy.

Differential Privacy - is a technique that can be used on its own or applied to other privacy-enhancing technologies to protect data from being re-identified. Differential privacy works by including carefully calculated “noise” to a dataset. For example, if 118 people bought a product after clicking on an ad, a differentially private system would add or subtract a random amount from that number. So instead of 118, someone using that system would see a number like 120 or 114.

Adding that small random bit of incorrect information makes it harder to know who actually bought the product after clicking the ad, even if you have a lot of other data.

4. Video Calling on LinkedIn Is Now a Reality - After adding support for various third-party video providers over the last year in order to facilitate video meetings in the app, last week, LinkedIn quietly rolled out a new, native video option within its messaging platform, which provides another way to connect with users, without the need to download a separate video app.

As explained by LinkedIn:

"From an initial job search to a 1:1 conversation, we wanted to drive the productivity of our members end to end while keeping them safe. By adding video conferencing as a part of the messaging experience, members can connect virtually while maintaining the context of their existing conversation. Now, members can easily schedule free video meetings with their network without the need to download a client or sign up to any service."

5. Google Search Console May Contain Bot Traffic Data - Google's John Mueller confirmed that Google Search Console does not filter out all bot traffic. John said on Twitter in response to someone suspecting seeing bot traffic in the Performance report, "sometimes it can be from bots - we don't necessarily filter all of that out in Search Console."

6. Google Ads attribution models now support YouTube and Display - Attribution is a common issue for search marketers and continues to be muddied as more of the web focuses on privacy. The ability to model your attribution journeys through YouTube and Display will help marketers determine which channels to invest in and which channels could use a different strategy.

As of August 9, Google Ads has upgraded all non-last click models, including data-driven attribution, to support YouTube and Display ads. In addition to clicks, the data-driven attribution model also measures engaged views from YouTube.

Along with knowing which channels are contributing along the buyer journey toward a final conversion (whatever that looks like for your business), the new inclusions mean that “when used along with automated bidding strategies or updates to your manual bidding, data-driven attribution helps to drive additional conversions at the same CPA compared to last click.”

7. YouTube Updates Default Settings on Kids Content, Implements New Restrictions on Promotions - YouTube has announced some new measures to assist in protecting young users from questionable content and unwanted exposure on the platform, with new default privacy settings for uploads by young people, and new reminders and prompts to help avoid overuse.

First off on the new upload settings - in the coming weeks, YouTube says that it will upgrade the default privacy settings for uploads from users ages 13-17 to 'the most private option available'.

So kids can still mitigate the defaults, but by using this as a starting point, YouTube's hoping to ensure that younger users gain more awareness of the risks involved in such, potentially limiting unwanted exposure in the app.

YouTube's also looking to tackle overuse, with the addition of 'take a break' and bedtime reminders, also by default, for all users ages 13-17. So, again, savvy youngsters can just switch these settings off if they choose - and most of them are far more savvy and attuned to such than their parents. But by implementing new defaults, YouTube's looking to increase awareness of its various options in this respect, with a view to improving safety.

And finally, in what may be a big blow for kidfluencers, YouTube's also removing more commercial content from YouTube Kids.

...

  continue reading

203 епізодів

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