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Number of Presenters:
- Chances of getting an offer improve with 1, 2, or max 3 presenters.
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Gender Composition:
- Pitches with MALE presenters only are more likely to get offers.
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Patents:
- Startups with patents do not have a significantly higher chance of receiving offers compared to those without patents.
-
Guest Sharks:
- A startup is more likely to get an offer when there is NO GUEST Shark present in the pitch, but the difference is not substantial.
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Founding Year:
- Startups founded around 2019 are more likely to get an offer.
- Total offers received: 321
- Total pitches: 478
- Overall offer acceptance rate: 67.15%
- Season 1: 63.16%
- Season 2: 71.60%
- Season 3: 66.24%
Industry | Number of Startups | Offers | Deals | Offers (%) | Offers converted (%) |
---|---|---|---|---|---|
Healthcare | 37 | 33 | 30 | 89.19 | 90.91 |
Agriculture | 4 | 3 | 3 | 75.00 | 100.00 |
Education | 11 | 8 | 7 | 72.73 | 87.50 |
Food | 107 | 77 | 60 | 71.96 | 77.92 |
Technology | 49 | 35 | 30 | 71.43 | 85.71 |
Industry | Net Margin | Gross Margin |
---|---|---|
Sports | 8.50 | 8.00 |
Beverages | 6.67 | 30.20 |
Household | 5.80 | 22.40 |
Fashion | 4.36 | 21.42 |
Food | 3.46 | 16.01 |
- Pitchers aged 30-50 are more likely to get an offer.
- Startups in Healthcare, Food, Technology, Fashion, and Manufacturing are more likely to get an offer.
- Shark Tank India dataset (cleaned and preprocessed)
- Exploratory Data Analysis (EDA) notebooks
- Investment pattern analysis notebooks
- Shark performance analysis notebooks
- More conclusions can be made by visualizations stored in /visualizations