Pranamya Shirasa Devam

The song Pranamya Shirasa Devam by Shankar Mahadevan has been played 88,149 times on Spotify since its release on August 11, 2015.

Other songs from Shankar Mahadevan

Pareeksha

Shankar Mahadevan
Introduction Of Hero & Prepetrator

Vijay, Rashmika Mandanna, R. Sarath Kumar, Prabhu, Prakash Raj, Shaam, Srikanth, Kushboo, Yogi Babu, Jayasudha, Sangeetha Krish, Samyuktha Shanmughanathan, Thalapathy Vijay, M.M.Manasi, Silambarasan TR, K. S. Chithra, Anirudha, Jonita Gandhi, Shankar Mahadevan, Karthik
Dhoka

Anousha Mani, Shankar Mahadevan, Loy Mendonsa, Tarannum Malik Jain
Tamizhanna Naan Oru

Yuvan Shankar Raja, Vaali, Shankar Mahadevan
Roja Kadale

Harris Jayaraj, Shankar Mahadevan, Sunidhi Chauhan, Chinmayi

Frequently asked questions

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- Inconsistent Stream Counts for a Day: Sometimes, a data point may represent the stream count for two days instead of one. This inconsistency arises because Spotify does not update its public stream count at a fixed time daily. If our data recording aligns with these fluctuations, it can lead to inaccuracies.
- Anomalous Data Points (including negative streams): On occasion, you might observe highly irregular data points, such as negative daily streams. These are typically the result of metadata discrepancies on Spotify's end, like different tracks sharing the same International Standard Recording Code (ISRC). In such cases, reaching out to us can be very helpful. We can often disregard these erroneous data points to present a more accurate graph.

In both situations, we're committed to continuously improving our data accuracy and are here to assist with any specific concerns you might have.
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: This occurs due to Spotify's policy of only displaying public stream counts for tracks that have surpassed 1,000 streams. Consequently, if you see a stream count marked as 0 in our system, it indicates that the total stream count for that track is currently below 1,000. As the track accumulates more streams and crosses this threshold, the accurate stream count will start being reflected in our data.