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Over the next week, each time doubt crept in — when a colleague brushed off an idea at work, when an old friend assumed Lola would be okay with less than she deserved — she repeated the phrase quietly like a talisman. “Zip up.” It reminded her she could close herself against slights without sealing off her will. It kept her steady while she decided which parts of herself to show and which to protect while she prepared something better.

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A standout track that perfectly encapsulates the album’s title—a chaotic, driving anthem about the complications of modern dating. Over the next week, each time doubt crept

The album reached and features the breakthrough UK number-one single, "Messy" . Tracklist Breakdown Heavyweight blend of 80% cotton and 20% recycled polyester

You find Lola Young in the gap between the mattress and the wall. That’s where This Wasn’t Meant For You Anyway lives. It’s not a breakup album; it’s a breakdown album. It’s the sound of a woman realizing that the person in the passenger seat doesn’t know her at all—and worse, doesn’t want to.

| Phase | Steps | Data Sources | Tools | |-------|-------|--------------|-------| | | • Search for “Lola Young This Wasn’t Meant for You Anyway ZIP UPD” on major platforms.• Scrape metadata (upload date, uploader type, view/stream counts, likes, comments). | SoundCloud API, YouTube Data API, TikTok public endpoints, Spotify for Artists (if access granted) | Python (requests, BeautifulSoup), pandas | | 2. Listener Survey | • Deploy a short questionnaire (10 questions) to fans who have interacted with the ZIP UPD.• Capture demographics, discovery path, and perception of the remix vs. original. | Survey hosted on Google Forms; link shared via community subreddits and fan Discords | Qualtrics, R for statistical analysis | | 3. Comparative Metrics | • Normalize engagement metrics (e.g., likes per 1 000 views).• Compute “lift” = (ZIP UPD streams – baseline) / baseline for the original track. | Collected API data | R (ggplot2, dplyr) | | 4. Qualitative Content Analysis | • Sample 100 comments across platforms.• Code for sentiment (positive/negative/neutral) and themes (e.g., “better than original”, “novelty”). | Comment text from APIs | NVivo or manual coding in Excel | | 5. Impact Assessment | • Correlate spikes in original‑track streams with ZIP UPD upload dates.• Use time‑series analysis (ARIMA) to isolate effect. | Spotify streaming logs (if available) | Python (statsmodels) |