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Snowflake · BigQuery · Redshift · CSV
- TikTok customers have 34% lower 90-day LTV than other channelsTikTok customers show $127 vs $192 avg LTV—significant gap confirmed.92%
- Checkout drop-off correlates with page load timeNo significant correlation found (r=0.08, p=0.34).88%
- Premium subscribers churn less in the first 30 daysPremium shows 2.3x better retention (94% vs 41%).95%
- Weekend traffic converts at a different rate than weekdayMixed signals across segments, need more data.45%
- Organic search users refer friends more than paid acquisitionOrganic users refer 3.1x more than paid acquisition.91%
TikTok customers have 34% lower 90-day LTV than other channels
Based on 15,250 customers acquired Jan-Nov 2025. LTV calculated at 90-day mark with 95% CI.
Consider reducing TikTok acquisition spend or optimizing for higher-intent audiences.
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# Hypothesis: Regional order value differs
from scipy import stats
query = """
SELECT region, order_value
FROM orders
WHERE order_date >= '2025-01-01'
"""
df = run_query(query)
result = stats.ttest_ind(
df[df.region=='North']['order_value'],
df[df.region=='South']['order_value']
)Statistical rigor
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