Install Trend
View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
| 134 days of no change | ||
| 2026-04-27 | 91 | -91 |
| 91 days of no change | ||
| 2026-01-25 | 90 | +1 |
| 32 days of no change | ||
| 2025-12-23 | 89 | +1 |
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| 2025-12-02 | 88 | +1 |
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| 2025-11-25 | 87 | +1 |
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| 2025-11-18 | 85 | +2 |
| 28 days of no change | ||
| 2025-10-20 | 84 | +1 |
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| 2025-10-16 | 82 | +2 |
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| 2025-10-13 | 81 | +1 |
| 6 days of no change | ||
| 2025-10-06 | 80 | +1 |
| 4 days of no change | ||
| 2025-10-01 | 79 | +1 |
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| 2025-09-28 | 77 | +2 |
| 2 days of no change | ||
| 2025-09-25 | 76 | +1 |
| 7 days of no change | ||
| 2025-09-17 | 74 | +2 |
| 2025-09-16 | 73 | +1 |
| 8 days of no change | ||
| 2025-09-07 | 72 | +1 |
| 3 days of no change | ||
| 2025-09-03 | 71 | +1 |
| 2025-09-02 | 70 | +1 |
| 4 days of no change | ||
| 2025-08-28 | 69 | +1 |
| 2025-08-27 | 68 | +1 |
| 2025-08-26 | 67 | +1 |
| 4 days of no change | ||
| 2025-08-21 | 66 | +1 |
| 2025-08-20 | 65 | +1 |
| 2025-08-19 | 63 | +2 |
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| 2025-08-16 | 62 | +1 |
| 17 days of no change | ||
| 2025-07-29 | 61 | +1 |
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| 2025-07-23 | 60 | +1 |
| 2025-07-22 | 59 | +1 |
| 2025-07-21 | 58 | +1 |
| 2 days of no change | ||
| 2025-07-18 | 57 | +1 |
| 2025-07-17 | 56 | +1 |
| 3 days of no change | ||
| 2025-07-13 | 55 | +1 |
| 1 days of no change | ||
| 2025-07-11 | 54 | +1 |
| 1 days of no change | ||
| 2025-07-09 | 53 | +1 |
| 2025-07-08 | 51 | +2 |
| 8 days of no change | ||
| 2025-06-29 | 50 | +1 |
| 3 days of no change | ||
| 2025-06-25 | 49 | +1 |
| 2025-06-24 | 47 | +2 |
| 1 days of no change | ||
| 2025-06-22 | 46 | +1 |
| 3 days of no change | ||
| 2025-06-18 | 45 | +1 |
| 1 days of no change | ||
| 2025-06-16 | 44 | +1 |
| 2025-06-15 | 43 | +1 |
| 2 days of no change | ||
| 2025-06-12 | 42 | +1 |
| 1 days of no change | ||
| 2025-06-10 | 41 | +1 |
| 6 days of no change | ||
| 2025-06-03 | 40 | +1 |
| 6 days of no change | ||
| 2025-05-27 | 39 | +1 |
| 2025-05-26 | 38 | +1 |
| 2025-05-25 | 37 | +1 |
| 2 days of no change | ||
| 2025-05-22 | 35 | +2 |
| 3 days of no change | ||
| 2025-05-18 | 34 | +1 |
| 4 days of no change | ||
| 2025-05-13 | 33 | +1 |
| 6 days of no change | ||
| 2025-05-06 | 32 | +1 |
| 7 days of no change | ||
| 2025-04-28 | 31 | +1 |
| 2 days of no change | ||
| 2025-04-25 | 29 | +2 |
| 6 days of no change | ||
| 2025-04-18 | 28 | +1 |
| 7 days of no change | ||
| 2025-04-10 | 27 | +1 |
| 1 days of no change | ||
| 2025-04-08 | 26 | +1 |
| 1 days of no change | ||
| 2025-04-06 | 25 | +1 |
| 2 days of no change | ||
| 2025-04-03 | 24 | +1 |
| 2025-04-02 | 23 | +1 |
| 7 days of no change | ||
| 2025-03-25 | 22 | +1 |
| 7 days of no change | ||
| 2025-03-17 | 18 | +4 |
| 2025-03-16 | 17 | +1 |
| 5 days of no change | ||
| 2025-03-10 | 15 | +2 |
| 2025-03-09 | 13 | +2 |
| 2 days of no change | ||
| 2025-03-06 | 12 | +1 |
| 2025-03-05 | 11 | +1 |
| 2025-03-04 | 7 | +4 |
| 2025-03-03 | 5 | +2 |
| 4 days of no change | ||
| 2025-02-26 | 4 | +1 |
| 2 days of no change | ||
| 2025-02-23 | 3 | +1 |
| 1 days of no change | ||
| 2025-02-21 | 2 | +1 |
| 2025-02-20 | 1 | +1 |
| 2025-02-19 | 0 | +1 |
About
The agent forecast enables managers and forecasters to generate accurate Omnichannel contact volume forecasts at 15, 30, 60-minute, and at daily intervals. Based on these volume forecasts, managers can create optimal staffing plans for contact centers.
Key Features
- Collect historical volume data for up to three years across multiple channels.
- Generate accurate forecasts based on the historical data to capture the latest trends in contact volumes.
- Optimize staffing for day-to-day contact center operations by creating short-term forecasts at 15, 30, and 60-minute intervals.
- Understand hiring and training needs in your contact center by generating long-term forecasts at daily intervals.
- Refresh short-term forecasts by using the latest trends and long-term planning inputs.