This document outlines tasks from a marketing team to analyze user data from an Instagram database in order to identify opportunities to engage users. The tasks include finding the oldest users, users who have never posted, the winner of a photo contest with the most likes, popular hashtags, and the best day of the week to launch ads based on user registration patterns. Investor metrics are also requested on user engagement rates and identifying bot/fake accounts. The document provides SQL queries to retrieve the requested data from the Instagram database tables.

1. Instagram
User
Analytics

2. Trainity Instagram
Analysis project using SQL
Queries.
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3. Database provided by
trainity.
Tool used MySQL
workbench.
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4. Database
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5. User analysis is the process by which we track how
users engage and interact with our digital product
(software or mobile application) in an attempt to
derive business insightsfor marketing, product &
development teams.
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6. These insights are then used by teams across the
business to launch a new marketing campaign,
decide on features to build for an app, track the
success of the app by measuring user
engagement and improve the experience
altogether while helping the business grow.
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7. AGENDA
The marketing team wants to launch some
campaigns, and they need your help with the
following…
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8. Rewarding Most Loyal Users: People who have
been using the platform for the longest time.
Task: Find the 5 oldest users of the Instagram
from the database provided
Command –
SELECT *
FROM users
ORDER BY created_at
LIMIT 5;
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9. Remind Inactive Users to Start Posting: By
sending them promotional emails to post their
1st photo.
Task: Find the users who have never posted a
single photo on Instagram
Command –
SELECT users.username, users.id
FROM users
WHERE NOT EXISTS ( SELECT * FROM photos
WHERE users.id = photos.user_id)
ORDER BY username;
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10. Declaring Contest Winner: The team started a
contest and the user who gets the most likes on
a single photo will win the contest now they
wish to declare the winner.
Task: Identify the winner of the contest and
provide their details to the team.
Command –
SELECT likes.photo_id, users.username,
COUNT(likes.user_id) AS likes_user
FROM likes
INNER JOIN photos ON likes.photo_id =
photos.id
INNER JOIN users ON photo.user_id = users.id
GROUP BY likes.photo_id, users.username
ORDER BY like_user DESC
LIMIT 1
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11. Hashtag Researching: A partner brand
wants to know, which hashtags to use in
the post to reach the most people on the
platform.
Task: Identify and suggest the top 5 most
commonly used hashtags on the platform
Command –
SELECT tags.tag_name,
COUNT(photo_tags.photo.id) AS
num_tags
FROM photo_tags
INNER JOIN tags ON
photo_tags.tag_id=tags.id
GROUP BY tag_name
ORDER BY num_tags DESC
LIMIT 5
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12. Launch AD Campaign: The team wants to
know, which day would be the best day
to launch ADs.
Task: What day of the week do most users
register on? Provide insights on when to
schedule an ad campaign
Command –
SELECT weekday (created_at) as
weekday, COUNT(users.username) AS
user_num
FROM ig_clone.users
GROUP BY weekday
ORDER BY user_num DESC
# 0=Monday, 1=Tuesday and so.. on…#
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13. INVESTOR METRICS
Our Investors want to know if Instagram Is
performing well and is not becoming redundant
like Facebook, They want to assess the app on
following grounds…
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14. User Engagement: Are Users still posting on
Instagram or they are making fewer Posts.
Task: Provide how many times the
average user posts on Instagram, Also
provide total number of photos on
Instagram / total posts
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15. Bots & Fake Accounts: The investors want
to know if the platform is crowded with
fake and dummy accounts
Task: Provide data on users (bots) who
have liked every single photo on the site
(since any normal user would not be able
to do this)
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16. Thank you