POLI NIKA
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POLI NIKA

Spotify PlaylistingIndie / RockIndependentSoloFemale

How two focused Spotify playlisting campaigns helped POLI NIKA build momentum around “Don’t Mean to Hurt You” and “Sunny Days”, strengthening long-term listener behaviour around the Remember Why EP cycle.

65.88k

Spotify monthly listeners for POLI NIKA, up 154.42%

28/100

Chartmetric Popularity Index score

+40.2k

Monthly listener increase

156k

Total song streams and growing

Campaign Objective

The objective was to build momentum around 'Don't Mean to Hurt' You while strengthening POLI NIKA's profile traction ahead of the mid-2025 release of her EP 'Remember Why'.

The same playlisting approach was then extended into a second campaign for 'Sunny Days', aligning release activity with the wider EP cycle so the audience growth did not depend on one short promotional moment.

POLI NIKA Spotify Playlisting
Data provided bySpofify for Artists

Spotify for Artists reporting showed 26k+ new listeners and 156k total song streams and growing.

The important shift was not only reach. POLI NIKA and her team gained listeners who were saving tracks, sharing them, adding them to playlists and returning with low skip rates.

POLI NIKA Chartmetric Data
Data provided byChartmetric

Chartmetric recorded 65.88k Spotify monthly listeners for POLI NIKA, up 154.42%, alongside a Spotify Popularity Index score of 28/100.

Chartmetric provides a wider artist-level read on the campaign, while Spotify for Artists reporting is used throughout this case study for listener behaviour, source of streams and algorithmic listening.

The popularity index reflects recent plays, total streams within a period, saves, shares, additions to user-created playlists and lower skip rates, all of which indicate stronger listener engagement.

POLI NIKA Spotify Playlisting

ResultsKey results

Sustained Growth

Spotify for Artists reporting showed the same momentum translating into retention: since the end of the campaigns, POLI NIKA's streams and listeners had more than doubled and continued to pick up into January 2026.

That retention matters because Sunny Days continued to generate streaming activity after the playlisting campaign stopped in mid-December 2025. The result was a more stable base of engaged listeners rather than a short-term lift.

ResultsKey results

Algorithmic Discovery

By the 26 January 2026 report update, POLI NIKA was receiving 19k+ new monthly streams from algorithmically matched listeners through Spotify algorithmic playlists.

These listeners were being reached through recommendation surfaces such as Radio and Discover Weekly, where Spotify can connect songs with users who share similar listening habits and taste patterns.

Sunny Days was also generating 89% of streams from other listeners' playlists, showing that the music was being carried forward by real user behaviour after curator pitching. That activity gives Spotify stronger signals around saves, repeat listening and audience fit.

Radio Algorithm

Radio

Release Radar Algorithm

Release Radar

Your Discover Weekly algorithm

Discover Weekly

POLI NIKA similar artist

ResultsKey results

Increased Visibility

More Relevant Discovery

As a result of this deeper emotional engagement, Spotify now understands POLI NIKA's audience more clearly. This helps align her Fans Also Like section with more relevant similar artists, while making her profile and music more discoverable across other artist profiles and recommendation surfaces.

Don't Mean to Hurt You and Sunny Days also moved to the top of POLI NIKA's popular songs on her Spotify artist profile. Popular songs are shaped by both all-time and recent listening activity, so their position reflected current demand as well as deeper engagement around the wider Remember Why release cycle.

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Campaign Summary

By 26 January 2026, POLI NIKA was standing on a stronger foundation for future releases: two focused playlisting campaigns had created a larger listener base that kept streaming, saving, following and feeding Spotify's recommendation systems after active pitching had stopped.