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Facebook Insight Training 
by
Agenda 
• Introductions 
• What, Why and Where of Facebook Insights 
• Deeper Dive into Important Metrics 
• Measuring Success 
• Third Party Tools
Who am I? 
• John Wood 
• Founder of eGenie 
• Working with Digital 
Analytics: 
for 10 years 
• Believes: 
 A report is worth nothing unless it is actionable
Introductions 
• Who are you? 
• What do you do? 
• What do you want to get out of this session?
What is Facebook Insights? 
(and Why is it Useful?)
What is Facebook Insights? 
• Insights provides measurements on your 
Page's performance 
– available after at least 30 people like your Page 
• Find anonymised demographic data about 
your audience and see how people are 
discovering and responding to your posts
Why do we care? 
• Measure: 
– What is working? 
– What isn’t? 
• … so that we can understand and improve
How do we get Insights? 
Go to page, but must have permission:
High Level Insights - Overview 
• How many fans are there and how is this changing (Page Likes)? 
• How many people see content (Reach)? 
• How many people are engaged?
- Hover over title for info
High Level Insights - Overview 
• Metrics for your 5 Most Recent Posts
High Level Insights - Overview 
• Type 
– Link Click 
– Other Click (e.g. Status) 
– Photo View 
• Targeting 
– Public 
– Friends 
• Reach 
– number of unique users who have seen your content 
• Engagement 
– Likes 
– Comments 
– Shares 
– Other clicks
High Level Insights - Overview 
• Benchmarking against Competitors 
• Set up to 5 other Facebook Pages
High Level Insights - Likes 
• How many Fans do you have? 
• Is your Facebook Page fan-base growing?
Digression - Do You want Likes? 
• If you have 0 Likes, no one will see your Posts 
– Therefore you need Fans… 
• Posts are only seen by active, recently 
engaged Fans 
• Unengaged Fans are worthless - do not do 
anything to arbitrarily inflate that number 
• Target those that you want to become Fans 
• But it is important to know where they come 
from (see later)
What is an Engaged Fan? 
• To Like is a passive action and not time-consuming 
• Comment and Share show true engagement 
• Having acted they are more likely to: 
– sign up for a newsletter 
– click through to a product
How do we get Engaged Fans? 
• Ask questions 
• Create posts that get people interested 
• Contests 
• …
High Level Insights - Likes 
• Note American Time Zone 
• There are a number of ways of changing the date
High Level Insights - Likes 
• Benchmark for an easy way to see change
High Level Insights - Likes 
• Not all change is good! 
• What are the causes of change?
High Level Insights - Likes 
• Where were they when they Liked your Page? 
• Where did you succeed in engaging people?
Reach 
• The number of unique users (Fans and non- 
Fans) who have seen your content 
– Organic 
– Paid 
– Viral 
• Depends on EdgeRank (which we will come on 
to later)
Organic 
• “Users visited your Page or saw your Page or 
one of its posts in News Feed or Ticker.” 
• “Users” can be Fans, or not!
Paid 
• “Users who viewed a Sponsored Story or ad 
that promoted your post or Page.”
Viral 
• “Users saw your Page or one of its posts from 
a story generated by a friend.”
High Level Insights - Reach 
• Are those Ad Campaigns bringing impressions
High Level Insights - Reach 
• How are people engaging?
High Level Insights - Reach 
• Hint - hover over a point to highlight the trend for that metric
High Level Insights - Reach 
• Engagement can be negative 
• If it is, when did it occur and so what could have caused it?
High Level Insights - Reach 
• Above we saw Post Reach (i.e. from Posts!) 
• Also available is Total Reach, i.e. Posts and everything else 
• Both measure People
Visits 
• A unique user may visit the site more than 
once
High Level Insights - Visits 
• Is anyone going to a Newsletter Tab or a Contact Tab?
High Level Insights - Visits 
• Other Activity – in addition to Likes, Comments and Shares
High Level Insights - Visits 
• Probably your website is top… 
• You may be getting traffic from Google… 
• How effective are newsletters or other cross-promotional 
techniques?
High level Insights - Posts 
• When should you post?
High level Insights - Posts
High level Insights - Posts 
• What posts worked best? 
 Reach 
 Engagement
High level Insights - Posts 
• What post types work best? 
 Did your status updates get more reach then your 
image posts? 
 Which post type tended to get more comments and 
shares?
High level Insights - Posts 
• What engagement do your competitors get compared with 
yours? 
• When do they post? 
• How frequently?
What is EdgeRank? 
• EdgeRank is the algorithm used by Facebook 
to determine what appears in each individual 
newsfeed and where it appears in each 
newsfeed. 
• The algorithm is made of three variables: 
Affinity (Ue) 
Weight (We) 
Time Decay (De) 
• ΣUeWeDe
Affinity (Ue) 
• The affinity score measure the relationship or 
connection between two users. The closer the 
relationship or connection, the higher the 
score. 
• E.g. I am friends with my sister on Facebook, 
we have 70 mutual friends and I write on her 
wall regularly. We have a high affinity score so 
Facebook will include her in my newsfeed.
Weight (We) 
• Posts are weighted differently: 
1. Photos/ videos 
2. Links 
3. Plain text updates 
• Facebook changes the weight according to 
what they believe the user will find most 
engaging
Time decay (De) 
• How old the post is! 
• Posts become ‘old news’ over time, the time 
decay enables the newsfeed to remain up to 
date with recent news
Edgerank Is Dead? 
• In mid 2013 Facebook announced that they 
would be introducing a completely new algorithm 
which now included as many as 100,000 different 
elements 
• The new algorithm works by bumping stories you 
don’t see during a browsing session to the top of 
your newsfeed in your next browsing session 
• This can be affected by the amount of 
engagement (likes, comments and shares) a post 
receives
EdgeRank is dead cont. 
• Another change to the algorithm is the Last 
Actor 
• This takes into account your last 50 
interactions (likes, comments and shares) 
• People who you have engaged with most 
recently are given more weight and Facebook 
will push their posts higher in the News Feed
EdgeRank is dead cont. 
• Post types – The News Feed algorithm also 
takes into account the type of post a user 
tends to interact with 
• Device capabilities – The News Feed algorithm 
also takes into consideration the device being 
used, e.g. a user with a slow internet 
connection is likely to see more text updates
EdgeRank lives on 
• Despite Facebook’s new algorithm being said 
to now consist of over 100,000 variables the 
original EdgeRank variables still remain very 
important in the new algorithm
Improving your Page’s rank 
• Be precise – posts over 250 characters receive 
60% less likes than those between 100 and 
250 characters long 
• Visuals – 
Photo albums receive 180% more engagement 
Photos receive 120% more engagement 
Videos receive 100% more engagement
Improving your Page’s rank cont. 
• Post regularly – 96% of fans won’t return to a 
page so regular posts are the only way of 
reaching them 
• Time – Different audiences will use Facebook at 
different times, test different times of day to find 
when your audience are most active 
• Segmenting – Facebook allows you to target who 
will see your updates 
Male / Female 
Relationship status etc.
Improving your Page’s rank cont. 
• Social Call To Action (CTA) – with the new 
algorithm taking into account the level of 
engagement with a post, it is important for 
people to be engaging with your posts 
• People often won’t take action unless you tell 
them to e.g. 
“please share” 
“comment below”
Facebook Fraud – a follow on from 
“Virtual Bagel” 
Derek Muller from science blog Veritasium
From Muller’s video
Source: Comprendia
Facebook response to the video 
• Fake likes don’t help us. For the last two years, we have 
focused on proving that our ads drive business results and we 
have even updated our ads to focus more on driving business 
objectives 
• Those kinds of real-world results would not be possible with 
fake likes. In addition, we are continually improving the 
systems we have to monitor and remove fake likes from the 
system 
• Just to be clear, he created a low quality page about 
something a lot of people like – cats. He spent $10 and got 
150 people who liked cats to like the page 
• They may also like a lot of other pages which does not mean 
that they are not real people – lots of real people like lots of 
things
So, do we want to do 
Facebook Advertising? 
• The Facebook ad feature set has changed 
significantly since then 
• These features either didn’t exist or were unlikely 
to be used during these tests: 
– Conversion Tracking 
– Custom Audiences 
– Lookalike Audiences 
– Website Custom Audiences (Re-targetting) 
– FBX 
– Partner Categories 
– Facebook’s new ad reports
High level Insights - People 
• Who likes you? 
• Do they fit the profile of who you want to attract?
High level Insights - People 
• If any of your Page posts have been Liked or Shared or 
Promoted, you will have reached more than just your 
existing fan-base 
• How does this compare with your Fans?
High level Insights - People
Insights on Mobile 
• Just overview information for the past week:
Is that everything? 
•No!
Exporting data 
• Select 
– Date range 
– File format 
• Download one of 
– Page Level data 
• Old 
• New 
– Post Level data 
• Old 
• New
Data Export – 65 tabs of data! 
• Daily, Weekly, 28 Days 
• Talking About This 
• Stories 
• Likes, Unlikes, Friends of Fans 
• Engaged Users 
• Total Reach 
• Organic Reach 
• Paid Reach 
• Viral Reach 
• Impressions 
• Organic Impressions 
• Paid Impressions 
• Viral Impressions 
• Logged-In Views 
• Negative Feedback 
• Like Sources 
• Viral Reach by Story Type 
• Viral Impressions by Story Type 
• Frequency Distribution 
• Talking About This by Story Type 
• Interactions by Type 
• Consumptions 
• Likes Detailed Demographics 
• Reach Detailed Demographics 
• Talking About This Detailed Demo 
• External Referrer 
• Check-in Details
Export - Demographics
Export - Negative Feedback
Export – When are fans online?
Export – When are fans online?
Getting Insights data programmatically 
• A published API is available at 
https://developers.facebook.com/docs/graph-api/ 
reference/v2.0/insights 
to build e.g. dashboards if you don’t want to 
download
Page Stories 
• Likes of your Page 
• Likes, comments on, or shares of your Page 
posts 
• Answers to a Question you’ve asked 
• Responses to your Event 
• Mentions of your Page 
• Tags of your Page in a photo 
• Check-ins or Recommendations of your Place
More Metrics…. 
• Page Talking About This: Number of unique 
users sharing stories about your page 
• Logged-In Page Views: Total number of Page 
Views from users logged into Facebook 
• Engagement: includes any click or story 
created
Even More Metrics…. 
• Page Consumers: The number of unique users 
who clicked on any of your content 
• Page Consumptions: The total number of 
clicks on any of your content
Even Even More Metrics 
• Page Engaged Users: The number of unique 
users who engaged with your Page
Post Level Metrics 
• Logged in Page Views 
• Post Consumers 
• Post Consumptions 
• Post Engaged Users 
• Post Impressions 
• Post Reach 
• Paid & Organic Reach 
& Impressions 
• Post Stories 
• Post Talking About 
this 
• Post Viral Impressions 
• Post Viral Reach
Impressions & Reach 
• Post Impressions 
• Post Reach 
• Paid & Organic Reach & Impressions 
• Post Viral Impressions 
• Post Viral Reach
Post Stories 
• Post Stories: The number of stories generated 
about your Page post. Stories include: 
– Likes, comments on, or shares of your Page post 
– Answers a question you’ve asked 
– Responds to your event
More Post Metrics 
• Negative Feedback: Number of times users have 
clicked the “x” button, clicked “hide,” clicked 
“hide all” or reported your Page posts as spam 
• Post Consumers: The number of unique users 
who clicked anywhere in your post 
• Post Consumptions: The number of clicks 
anywhere in your post 
• Post Engaged Users: The number of unique users 
engaged with your post. Engagement includes 
any click or story created.
Metric Structure
Tools 
• AgoraPulse 
– Barometer (for benchmarking)
Tools cont. 
• PageLever 
• Quintly (expensive!)
Recap 
• There are lots of metrics in the GUI 
• Far more in export 
• Decide what is important and use them!
Any Questions?

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Facebook Insight training

  • 2.
  • 3. Agenda • Introductions • What, Why and Where of Facebook Insights • Deeper Dive into Important Metrics • Measuring Success • Third Party Tools
  • 4. Who am I? • John Wood • Founder of eGenie • Working with Digital Analytics: for 10 years • Believes:  A report is worth nothing unless it is actionable
  • 5. Introductions • Who are you? • What do you do? • What do you want to get out of this session?
  • 6. What is Facebook Insights? (and Why is it Useful?)
  • 7. What is Facebook Insights? • Insights provides measurements on your Page's performance – available after at least 30 people like your Page • Find anonymised demographic data about your audience and see how people are discovering and responding to your posts
  • 8. Why do we care? • Measure: – What is working? – What isn’t? • … so that we can understand and improve
  • 9. How do we get Insights? Go to page, but must have permission:
  • 10. High Level Insights - Overview • How many fans are there and how is this changing (Page Likes)? • How many people see content (Reach)? • How many people are engaged?
  • 11. - Hover over title for info
  • 12. High Level Insights - Overview • Metrics for your 5 Most Recent Posts
  • 13. High Level Insights - Overview • Type – Link Click – Other Click (e.g. Status) – Photo View • Targeting – Public – Friends • Reach – number of unique users who have seen your content • Engagement – Likes – Comments – Shares – Other clicks
  • 14. High Level Insights - Overview • Benchmarking against Competitors • Set up to 5 other Facebook Pages
  • 15. High Level Insights - Likes • How many Fans do you have? • Is your Facebook Page fan-base growing?
  • 16. Digression - Do You want Likes? • If you have 0 Likes, no one will see your Posts – Therefore you need Fans… • Posts are only seen by active, recently engaged Fans • Unengaged Fans are worthless - do not do anything to arbitrarily inflate that number • Target those that you want to become Fans • But it is important to know where they come from (see later)
  • 17. What is an Engaged Fan? • To Like is a passive action and not time-consuming • Comment and Share show true engagement • Having acted they are more likely to: – sign up for a newsletter – click through to a product
  • 18. How do we get Engaged Fans? • Ask questions • Create posts that get people interested • Contests • …
  • 19. High Level Insights - Likes • Note American Time Zone • There are a number of ways of changing the date
  • 20. High Level Insights - Likes • Benchmark for an easy way to see change
  • 21. High Level Insights - Likes • Not all change is good! • What are the causes of change?
  • 22. High Level Insights - Likes • Where were they when they Liked your Page? • Where did you succeed in engaging people?
  • 23. Reach • The number of unique users (Fans and non- Fans) who have seen your content – Organic – Paid – Viral • Depends on EdgeRank (which we will come on to later)
  • 24. Organic • “Users visited your Page or saw your Page or one of its posts in News Feed or Ticker.” • “Users” can be Fans, or not!
  • 25. Paid • “Users who viewed a Sponsored Story or ad that promoted your post or Page.”
  • 26. Viral • “Users saw your Page or one of its posts from a story generated by a friend.”
  • 27. High Level Insights - Reach • Are those Ad Campaigns bringing impressions
  • 28. High Level Insights - Reach • How are people engaging?
  • 29. High Level Insights - Reach • Hint - hover over a point to highlight the trend for that metric
  • 30. High Level Insights - Reach • Engagement can be negative • If it is, when did it occur and so what could have caused it?
  • 31. High Level Insights - Reach • Above we saw Post Reach (i.e. from Posts!) • Also available is Total Reach, i.e. Posts and everything else • Both measure People
  • 32. Visits • A unique user may visit the site more than once
  • 33. High Level Insights - Visits • Is anyone going to a Newsletter Tab or a Contact Tab?
  • 34. High Level Insights - Visits • Other Activity – in addition to Likes, Comments and Shares
  • 35. High Level Insights - Visits • Probably your website is top… • You may be getting traffic from Google… • How effective are newsletters or other cross-promotional techniques?
  • 36. High level Insights - Posts • When should you post?
  • 38. High level Insights - Posts • What posts worked best?  Reach  Engagement
  • 39. High level Insights - Posts • What post types work best?  Did your status updates get more reach then your image posts?  Which post type tended to get more comments and shares?
  • 40. High level Insights - Posts • What engagement do your competitors get compared with yours? • When do they post? • How frequently?
  • 41. What is EdgeRank? • EdgeRank is the algorithm used by Facebook to determine what appears in each individual newsfeed and where it appears in each newsfeed. • The algorithm is made of three variables: Affinity (Ue) Weight (We) Time Decay (De) • ΣUeWeDe
  • 42. Affinity (Ue) • The affinity score measure the relationship or connection between two users. The closer the relationship or connection, the higher the score. • E.g. I am friends with my sister on Facebook, we have 70 mutual friends and I write on her wall regularly. We have a high affinity score so Facebook will include her in my newsfeed.
  • 43. Weight (We) • Posts are weighted differently: 1. Photos/ videos 2. Links 3. Plain text updates • Facebook changes the weight according to what they believe the user will find most engaging
  • 44. Time decay (De) • How old the post is! • Posts become ‘old news’ over time, the time decay enables the newsfeed to remain up to date with recent news
  • 45. Edgerank Is Dead? • In mid 2013 Facebook announced that they would be introducing a completely new algorithm which now included as many as 100,000 different elements • The new algorithm works by bumping stories you don’t see during a browsing session to the top of your newsfeed in your next browsing session • This can be affected by the amount of engagement (likes, comments and shares) a post receives
  • 46. EdgeRank is dead cont. • Another change to the algorithm is the Last Actor • This takes into account your last 50 interactions (likes, comments and shares) • People who you have engaged with most recently are given more weight and Facebook will push their posts higher in the News Feed
  • 47. EdgeRank is dead cont. • Post types – The News Feed algorithm also takes into account the type of post a user tends to interact with • Device capabilities – The News Feed algorithm also takes into consideration the device being used, e.g. a user with a slow internet connection is likely to see more text updates
  • 48. EdgeRank lives on • Despite Facebook’s new algorithm being said to now consist of over 100,000 variables the original EdgeRank variables still remain very important in the new algorithm
  • 49. Improving your Page’s rank • Be precise – posts over 250 characters receive 60% less likes than those between 100 and 250 characters long • Visuals – Photo albums receive 180% more engagement Photos receive 120% more engagement Videos receive 100% more engagement
  • 50. Improving your Page’s rank cont. • Post regularly – 96% of fans won’t return to a page so regular posts are the only way of reaching them • Time – Different audiences will use Facebook at different times, test different times of day to find when your audience are most active • Segmenting – Facebook allows you to target who will see your updates Male / Female Relationship status etc.
  • 51. Improving your Page’s rank cont. • Social Call To Action (CTA) – with the new algorithm taking into account the level of engagement with a post, it is important for people to be engaging with your posts • People often won’t take action unless you tell them to e.g. “please share” “comment below”
  • 52. Facebook Fraud – a follow on from “Virtual Bagel” Derek Muller from science blog Veritasium
  • 55. Facebook response to the video • Fake likes don’t help us. For the last two years, we have focused on proving that our ads drive business results and we have even updated our ads to focus more on driving business objectives • Those kinds of real-world results would not be possible with fake likes. In addition, we are continually improving the systems we have to monitor and remove fake likes from the system • Just to be clear, he created a low quality page about something a lot of people like – cats. He spent $10 and got 150 people who liked cats to like the page • They may also like a lot of other pages which does not mean that they are not real people – lots of real people like lots of things
  • 56. So, do we want to do Facebook Advertising? • The Facebook ad feature set has changed significantly since then • These features either didn’t exist or were unlikely to be used during these tests: – Conversion Tracking – Custom Audiences – Lookalike Audiences – Website Custom Audiences (Re-targetting) – FBX – Partner Categories – Facebook’s new ad reports
  • 57. High level Insights - People • Who likes you? • Do they fit the profile of who you want to attract?
  • 58. High level Insights - People • If any of your Page posts have been Liked or Shared or Promoted, you will have reached more than just your existing fan-base • How does this compare with your Fans?
  • 60. Insights on Mobile • Just overview information for the past week:
  • 62. Exporting data • Select – Date range – File format • Download one of – Page Level data • Old • New – Post Level data • Old • New
  • 63. Data Export – 65 tabs of data! • Daily, Weekly, 28 Days • Talking About This • Stories • Likes, Unlikes, Friends of Fans • Engaged Users • Total Reach • Organic Reach • Paid Reach • Viral Reach • Impressions • Organic Impressions • Paid Impressions • Viral Impressions • Logged-In Views • Negative Feedback • Like Sources • Viral Reach by Story Type • Viral Impressions by Story Type • Frequency Distribution • Talking About This by Story Type • Interactions by Type • Consumptions • Likes Detailed Demographics • Reach Detailed Demographics • Talking About This Detailed Demo • External Referrer • Check-in Details
  • 65. Export - Negative Feedback
  • 66. Export – When are fans online?
  • 67. Export – When are fans online?
  • 68. Getting Insights data programmatically • A published API is available at https://developers.facebook.com/docs/graph-api/ reference/v2.0/insights to build e.g. dashboards if you don’t want to download
  • 69. Page Stories • Likes of your Page • Likes, comments on, or shares of your Page posts • Answers to a Question you’ve asked • Responses to your Event • Mentions of your Page • Tags of your Page in a photo • Check-ins or Recommendations of your Place
  • 70. More Metrics…. • Page Talking About This: Number of unique users sharing stories about your page • Logged-In Page Views: Total number of Page Views from users logged into Facebook • Engagement: includes any click or story created
  • 71. Even More Metrics…. • Page Consumers: The number of unique users who clicked on any of your content • Page Consumptions: The total number of clicks on any of your content
  • 72. Even Even More Metrics • Page Engaged Users: The number of unique users who engaged with your Page
  • 73. Post Level Metrics • Logged in Page Views • Post Consumers • Post Consumptions • Post Engaged Users • Post Impressions • Post Reach • Paid & Organic Reach & Impressions • Post Stories • Post Talking About this • Post Viral Impressions • Post Viral Reach
  • 74. Impressions & Reach • Post Impressions • Post Reach • Paid & Organic Reach & Impressions • Post Viral Impressions • Post Viral Reach
  • 75. Post Stories • Post Stories: The number of stories generated about your Page post. Stories include: – Likes, comments on, or shares of your Page post – Answers a question you’ve asked – Responds to your event
  • 76. More Post Metrics • Negative Feedback: Number of times users have clicked the “x” button, clicked “hide,” clicked “hide all” or reported your Page posts as spam • Post Consumers: The number of unique users who clicked anywhere in your post • Post Consumptions: The number of clicks anywhere in your post • Post Engaged Users: The number of unique users engaged with your post. Engagement includes any click or story created.
  • 78. Tools • AgoraPulse – Barometer (for benchmarking)
  • 79. Tools cont. • PageLever • Quintly (expensive!)
  • 80. Recap • There are lots of metrics in the GUI • Far more in export • Decide what is important and use them!

Notas do Editor

  1. Let’s now turn our attention towards Reach. Page Reach: The number of unique users who have seen any content associated with your Page (including any Ads or Sponsored Stories pointing to your Page). The Page Reach number might be less than the impressions number since one person can see multiple impressions. Similar to Impressions, Reach can also be Organic, Paid or Viral
  2. Engagement from other users also factors into the posted weight. So a plain text update with multiple likes and comments can carry more combined weight than a photo post with no engagement despite the initial weight of the post
  3. How quickly the post loses value, or “decays” is also dependent on the facebook user. If you only log in once a week, stories that are a few days old still have a chance of appearing on your newsfeed
  4. If you’ve ever used an internet forum or message board before, you’ll notice that Facebook’s concept of ‘story bump‘ is very similar to the process of ‘bumping’ a post on a forum.  A post on a message board gets ‘bumped’ each time a person interacts with said post.  Each interaction makes the post rise back up to the top of the message board.  You can imagine that very compelling, popular and controversial posts are often commented on the most, therefore they are constantly being ‘bumped’ and remain at the top of the message board
  5. If you’ve been liking and commenting statuses from your new coworker or best friend (or sharing posts from your favorite restaurant’s Facebook page), Facebook will push those posts up higher in News Feed.
  6. Exporting data opens up a wealth of new reports.
  7. For instance we can see demographic data in detail.
  8. Similar with other metrics such as negative feedback.
  9. Exporting the data give you the flexibility to really explore your stats and answer meaningful questions like “when is the best time to post?”
  10. You can use this data to see when your fans are online. How you use it is up to you. You could compare weekend to weekdays to see optimise your posting schedule & strategy. Here we can see a strong and clear difference between weekend & weekday behaviour.
  11. Page Stories: The number of stories created about your Page. Stories include:
  12. Page Consumptions: The total number of clicks on any of your content. Consumptions include link clicks, photo clicks, video plays and other clicks. Clicks generating stories are included in “Other Clicks.” Stories generated without clicks on page content (e.g., liking the page in Timeline) are not included.
  13. Post Impressions, Reach etc are exactly the same as the Page example except in that they relate to your posts rather than overall content. So we’ll leave those aside for now.
  14. Slide hidden – for reference only