Free Song Survey

This question identifies your core musical taste and helps segment audiences by genre. It guides personalized recommendations and marketing efforts.

Understanding beloved artists helps tailor suggestions based on similar styles. It also reveals influential figures in your listening habits.

This highlights top-performing tracks in your personal library. It informs which songs resonate most with you.

Identifying preferred musical periods refines era-based playlist curation. It also sheds light on nostalgic trends.

This helps determine instrumental textures that appeal to you. It supports targeted playlist creation featuring those sounds.

This distinction reveals whether you value raw performance energy or polished production. It guides how live content should be featured.

This measures the weight of lyrical content versus melody in your preferences. It informs lyric-focused recommendations.

This clarifies your mood-based listening tendencies. It helps tailor upbeat or relaxed playlists.

Understanding the role of artist storytelling informs brand partnerships and promotional strategies. It also highlights audience values.

This assesses your openness to mainstream versus underground music. It guides balance in curated content delivery.

This clarifies desired emotional outcomes, such as relaxation or motivation. It supports mood-targeted recommendations.

Identifying joy-inducing tracks informs feel-good playlist creation. It highlights music that uplifts your mood.

This pinpoints empowering tracks that boost motivation. It guides the development of motivational playlists.

Recognizing calming songs supports stress-relief content. It tailors playlists for relaxation sessions.

This reveals the role of nostalgia in emotional engagement. It informs memory-triggering playlist strategies.

This explores coping mechanisms involving music. It helps design stress-management audio experiences.

This tracks mood variations tied to listening habits. It supports timed mood-boosting recommendations.

This measures music's cognitive influence on perspective. It guides content for emotional resilience.

This identifies power tracks for productivity and exercise. It informs motivational playlist curation.

This uncovers healing music that aids emotional processing. It supports therapeutic playlist development.

This identifies primary discovery touchpoints like apps or social media. It helps allocate promotional resources effectively.

This measures engagement with curated content streams. It informs the frequency of playlist updates.

This pinpoints dominant distribution channels. It guides platform-specific marketing efforts.

This assesses the influence of social proof in discovery. It supports referral and sharing features.

This reveals the role of viral content in music discovery. It guides social media campaign strategies.

This determines the impact of editorial content. It informs investment in review-driven promotion.

This highlights real-world discovery via concerts. It supports event-based marketing initiatives.

This measures engagement with niche content creators. It guides influencer partnership decisions.

This identifies traditional media's impact on discovery. It informs cross-channel promotion planning.

This gauges openness to global sounds and trends. It helps tailor world music recommendations.

This quantifies overall engagement and usage patterns. It guides content volume and timing.

This identifies peak listening windows for targeted releases. It supports time-based notifications.

This explores structured listening habits like morning playlists. It aids routine-based content planning.

This measures multi-tasking with music for productivity. It informs focus-driven playlist creation.

This tracks content freshness preferences. It guides update frequency for curated playlists.

This determines preference for deep listening versus quick plays. It informs album-oriented features.

This assesses interest in variety versus sequence. It helps tailor shuffle or sequential options.

This explores personalization around emotional states. It guides mood-based playlist tools.

This measures reliance on downloaded content. It informs offline capability improvements.

This identifies preferred listening devices and contexts. It aids format optimization for audio quality.

This measures listener expectations for sound fidelity. It guides audio mastering and platform codec choices.

This uncovers gaps in algorithmic accuracy. It informs enhancements in personalization engines.

This evaluates tolerance for ad-supported models. It aids ad frequency and format decisions.

This captures desired interface or functionality improvements. It guides product roadmap priorities.

This assesses trust in peer curation versus AI-driven lists. It shapes hybrid playlist offerings.

This measures advocacy and social sharing potential. It informs referral incentive programs.

This identifies unmet user needs and pain points. It drives feature development and differentiation.

This evaluates transparency around credits and metadata. It supports improvements in information display.

This reveals which data points influence trust, such as play counts or likes. It informs how metrics are presented.

This collects constructive feedback for creators and marketers. It supports strategies to boost listener interaction.