๐ Daily Twitter Data Reports as of July 31, 2020 - Friday || Daily Hive Tips Giveaway
Our Daily Reports on the hashtags and words we frequently used on Twitter for #hive, $hive, #posh, hive.blog, and peakd.com. Hope you will enjoy what you see here as we are trying to boost Hive's popularity especially on a big social media #twitter.
As a long believer of the Hive protocol since 2017, there is a necessity to attract more attention in what can we offer here as Fast, Scalable, Powerful, The Blockchain for Web 3.0. Twitter is a great platform to bring awareness on Web 3.0, I made a post on how Twitter may play an important role for us.
I have gathered the data to show to you how we are doing of promoting Hive this past few days. I recommend checking this post on https://hive.blog/@hive-data for Embedded Tweet.
1. Daily number of Tweets / Retweets
| Date | Total |
|---|---|
| Jul-31-2020 | 1,771 |
| Jul-30-2020 | 1,888 |
| Jul-29-2020 | 2,364 |
| Jul-28-2020 | 2,788 |
| Jul-27-2020 | 2,618 |
| Jul-26-2020 | 2,460 |
| Jul-25-2020 | 2,007 |
2. Daily number of Engagements
| Date | Total |
|---|---|
| Jul-31-2020 | 10,253 |
| Jul-30-2020 | 12,147 |
| Jul-29-2020 | 20.343 |
| Jul-28-2020 | 45,211 |
| Jul-27-2020 | 61,586 |
| Jul-26-2020 | 17,033 |
| Jul-25-2020 | 18,880 |
(Note: Engagements is a total number of times a user interacted with a Tweet. Clicks anywhere on the Tweet, including Retweets, replies, follows, likes, links, cards, hashtags, embedded media, username, profile photo, or Tweet expansion.)
3. Daily number of Impressions / Reach
| Date | Total |
|---|---|
| Jul-31-2020 | 2.78 million |
| Jul-30-2020 | 3.50 million |
| Jul-29-2020 | 4.57 million |
| Jul-28-2020 | 7.35 million |
| Jul-27-2020 | 4.33 million |
| Jul-26-2020 | 4.45 million |
| Jul-25-2020 | 3.91 million |
(Note: Impression or Reach show how many total times people have seen a tweet.)
4. Daily context that relates to Hive.
5. Top 50 Daily Most Active Users
(Note: We giveaways tips daily for the Top 10 Most Active Twitter users. Please comment down below so we can tip your comments.)
6. Top 3 Tweets of the Day
https://twitter.com/ph1103/status/1288948177526300673?s=20
https://twitter.com/stellabelle/status/1288758725348655107?s=20
https://twitter.com/ErikGsn/status/1288976341409452036?s=20
(Note: Top 3 Tweets of the Day is considered by the total number of Engagements. Please comment down below so we can tip your comments. We can claim our #hivetips by commenting down below. We suggest to visit this post on https://hive.blog/@hive-data for Embedded Tweet. )
7. Best Tweets of the Week (July 23-29, 2020)
https://twitter.com/TheycallmeDan_/status/1286309600850042883?s=20
(Note: Best tweet of the week is considered by the total number of Engagements. Please comment down below so we can tip your comments. We can claim our #hivetips by commenting down below. We suggest to visit this post on https://hive.blog/@hive-data for Embedded Tweet.)
8. Highlight Tweets is the tweets worth looking into. We suggest visiting the Tweet post for higher #hive engagements.
https://twitter.com/JamesTodaroMD/status/1288271711394299905?s=20
(Note: We need our cooperation of tweeting #hive on James Todaro post about censoring their post on big social media. Let us talk Hive on his comment section to make him see the solution of decentralization.)
https://twitter.com/hodgetwins/status/1288263563220365312?s=20
(Note: Let us make some noise about Hive on this tweet. Tweeting once or twice a day will have a positive effect in our ecosystem.)
https://twitter.com/stellabelle/status/1288106306524651520?s=20
(Note: We have a very enjoyable Tuesday at #hivechat. If you are not aware, every week we have #hivechat session where the host will throw some questions for Hive community. We will answer any question we are comfortable answering. Next week we will have https://twitter.com/TraciYorkWriter hosting our #hivechat. Be sure to check the hashtag #hivechat on Twitter. Let us make the tag on trending page!)
https://twitter.com/mike_maloney/status/1288807883401039872?s=20
(*Note: Please help us explain to Michael Maloney why Hive has a potential to solve real-world problems.)
All data reported above are based on the data from Twitter related to Hive including #hive, $hive, #posh, hive.blog, and peakd.com.
