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Analytics Table:Good Growth
| Date | subscribers | views | videos | Estimated Revenue |
|---|---|---|---|---|
Jun 27, 2026 Jun 27 Sat | 9 -- | 730 +1 | 48 -- | $0 - $0 |
Jun 26, 2026 Jun 26 Fri | 9 -- | 729 -- | 48 -- | -- |
Jun 25, 2026 Jun 25 Thu | 9 -- | 729 +1 | 48 -- | $0 - $0 |
Jun 24, 2026 Jun 24 Wed | 9 -- | 728 -- | 48 -- | -- |
Jun 23, 2026 Jun 23 Tue | 9 -- | 728 -- | 48 -- | -- |
Jun 22, 2026 Jun 22 Mon | 9 -- | 728 -- | 48 -- | -- |
Jun 21, 2026 Jun 21 Sun | 9 -- | 728 +1 | 48 -- | $0 - $0 |
Jun 20, 2026 Jun 20 Sat | 9 -- | 727 -- | 48 -- | -- |
Jun 19, 2026 Jun 19 Fri | 9 -- | 727 -- | 48 -- | -- |
Jun 18, 2026 Jun 18 Thu | 9 -- | 727 -- | 48 -- | -- |
Jun 17, 2026 Jun 17 Wed | 9 -- | 727 -- | 48 -- | -- |
Jun 16, 2026 Jun 16 Tue | 9 -- | 727 +1 | 48 -- | $0 - $0 |
Jun 15, 2026 Jun 15 Mon | 9 -- | 726 -- | 48 -- | -- |
Jun 14, 2026 Jun 14 Sun | 9 -- | 726 +1 | 48 -- | $0 - $0 |
Jun 7, 2026 Jun 7 Sun | 9 -- | 725 -- | 48 -- | -- |
Jun 6, 2026 Jun 6 Sat | 9 -- | 725 -- | 48 -- | -- |
Jun 5, 2026 Jun 5 Fri | 9 -- | 725 +2 | 48 -- | $0 - $0 |
Jun 4, 2026 Jun 4 Thu | 9 -- | 723 -- | 48 -- | -- |
Jun 3, 2026 Jun 3 Wed | 9 -- | 723 -- | 48 -- | -- |
Jun 2, 2026 Jun 2 Tue | 9 -- | 723 -- | 48 -- | -- |
Jun 1, 2026 Jun 1 Mon | 9 -- | 723 -- | 48 -- | -- |
May 31, 2026 May 31 Sun | 9 -- | 723 -- | 48 -- | -- |
May 30, 2026 May 30 Sat | 9 -- | 723 -- | 48 -- | -- |
May 29, 2026 May 29 Fri | 9 -- | 723 -- | 48 -- | $1 - $1 |
| Daily Average | -- | -- | -- | -- |
| Weekly Average | -- | +1 | -- | $0 - $0 |
| Last 29 Days | -- | +7 | -- | $0 - $0 |
Income Estimates for Good Growth
Income estimates are not available at this time. Historical data is required to calculate accurate earning projections based on view metrics and CPM rates.
About Good Growth
Explore Good Growth's YouTube presence with 9 subscribers and 48 videos. Experience the cumulative impact of 730 views across their engaging content.
Good Growth is a data and technology company trusted by global brands to grow profitability and market share of digital channels. We have developed our own scientific method and see e-commerce as an integrated system with the customer at its centre. We have published 2 industry leading books and have a unique team of experts; data scientists, mathematicians, e-commerce specialists and marketers. We have developed 40+ proprietary e-commerce analytics models to analyse businesses performance. No single tool or platform can give the insight, innovation and creativity that comes from our blended expertise and scientific approach. We have industry benchmarks based on our 10 years of client work which help our customers understand ‘what good looks like’ and the scale of growth possible. We use our methodology, data and IP to innovate and build world-class customer journeys on legacy systems at breakneck speed. We change your world. In a good way.
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