Sales Collapse 76%: How Tesla Lost $873 Billion In 83 Days
Historical credit: what this means
A retained source record links this person and role to the video. It has not been independently re-verified.
9 historical reviewsHistorical work attribution
Portfolio
115 work samples. Each credit shows where it came from.
Why 77,000 Cancer Patients Are Suing Pfizer (& Others)
Historical credit: what this means
A retained source record links this person and role to the video. It has not been independently re-verified.
The Chinese Company That Secretly Runs "American" Brands
Historical credit: what this means
A retained source record links this person and role to the video. It has not been independently re-verified.
About these numbers
- Videos reported in the source portfolio
- 115The work samples shown above.
- Views reported for the portfolio
- 244.7MThe source’s total for this person’s listed videos, from an unknown date. It counts public views of those videos, not views this person generated, and is not a live figure.
- Channels associated
- 15Channels linked to this profile in the source record. An association is not a confirmed working relationship.
Reviews
All reviewsL
Logically Answered
Historical reviewDaniel treats every script and video like his own! His attention to detail and viewer satisfaction are excellent. He's also careful not to go over the top, always balancing out risk vs reward and avoiding diminishing returns. Would highly recommend giving Daniel a shot!
Retained source review
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Zac Alsop
Historical reviewDaniel has been a great source of feedback for videos, making key comments about retention and areas which need clarification or more context. He has great knowledge of analytics and also isn't shy about throwing around creative ideas. He's very proactive, always down to help. His turn around time is very quick and he's very communicative.
Retained source review
Skills & specialties
Content specialties
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About
Helping creators and their teams improve their content by providing actionable advice based on retention data, audience interest, and the learnings of analyzing hundreds of channels
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