BlockTrackernew vs returning users
    Updated 2025-04-22
    with DAU_u as (
    SELECT
    date_trunc('day', block_timestamp) as date,
    count(DISTINCT from_address) as DAU
    FROM monad.testnet.fact_transactions
    GROUP BY date
    )
    ,new as (
    SELECT
    date_trunc('day', first_tx) as date,
    count(DISTINCT user) as new_user
    FROM (
    SELECT
    from_address as user,
    min(block_timestamp) as first_tx
    FROM monad.testnet.fact_transactions
    GROUP BY 1)
    GROUP BY 1)

    SELECT
    a.date,
    Dau,
    coalesce(new_user,0) as new_account,
    sum(new_account) over (ORDER by date) as cum_account,
    Dau - new_account as returning_account,
    100 * new_account / Dau as new_account_percent,
    100 * returning_account / Dau as returning_account_percent,
    avg(Dau)over(ORDER BY date) as "daily avg DAU",
    AVG(Dau) over (ORDER BY date ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) as avarage_7_Dau,
    avg(new_account)over(ORDER BY date) as "daily avg new account",
    AVG(new_account) over (ORDER BY date ROWS BETWEEN 7 PRECEDING AND CURRENT ROW) as avarage_7_new_account
    FROM DAU_u a
    LEFT JOIN new b using(date)
    ORDER BY 1 DESC

    Last run: 14 days ago
    DATE
    DAU
    NEW_ACCOUNT
    CUM_ACCOUNT
    RETURNING_ACCOUNT
    NEW_ACCOUNT_PERCENT
    RETURNING_ACCOUNT_PERCENT
    daily avg DAU
    AVARAGE_7_DAU
    daily avg new account
    AVARAGE_7_NEW_ACCOUNT
    1
    2025-06-09 00:00:00.000413819142283062578133995913.43821896.5617822854104.396104893672.1251988687.09740359165.875
    2
    2025-06-08 00:00:00.000911188628143062435858483746.89363893.1063622870053.973856951170.8752001592.05882463502.125
    3
    2025-06-07 00:00:00.000874376229523061807718514242.62495897.3750422882941.25942413.8752014347.17763265033.125
    4
    2025-06-06 00:00:00.000931031903553061578198406769.70483390.2951672896243.006623957093.252027535.22516675646.625
    5
    2025-06-05 00:00:00.0001012986994503060674649135369.8175190.182492909344.42978074.1252040449.7672014.5
    6
    2025-06-04 00:00:00.00098809710293330596801488516410.41729789.5827032922071.6577189988542053476.60402769104.25
    7
    2025-06-03 00:00:00.000952427335653058650819188623.52415596.4758452935139.0540541023575.8752066655.95270371140
    8
    2025-06-02 00:00:00.00010654534703030583151610184234.41408595.5859152948626.8911561037183.1252080486.50340173618.25
    9
    2025-06-01 00:00:00.000873809489183057844868248915.59824994.4017512961525.3424661019361.752094414.28767171521.625
    10
    2025-05-31 00:00:00.000841132750623057355687660708.92392691.0760742975923.3862071028726.252108521.15862169345.75
    11
    2025-05-30 00:00:00.00099181110786030566050688395110.87505689.1249442990748.3263891056889.1252122642.40277864140.875
    12
    2025-05-29 00:00:00.00010988786129830555264610375805.57823594.4217653004726.90909110610762136731.7902157125.625
    13
    2025-05-28 00:00:00.00011792257616830549134811030576.45915793.5408433018148.3802821053048.1252151347.52112757544.25
    14
    2025-05-27 00:00:00.0001185872119219305415180106665310.05327789.9467233031190.39007110339622166065.10638357675.375
    15
    2025-05-26 00:00:00.00010612855339130529596110078945.03078894.9692123044371.2357141024705.6252180685.43571453376.5
    16
    2025-05-25 00:00:00.000922882302573052425708926253.27853496.7214663058638.0431651018712.3752195989.7122357690.875
    17
    2025-05-24 00:00:00.000948725315113052123139172143.32140596.6785953074114.5362321025483.1252211683.42753667666.25
    18
    2025-05-23 00:00:00.00010664353342330518080210330123.13408796.8659133089628.3284671038782.1252227597.09489177120.125
    19
    2025-05-22 00:00:00.0001025306517383051473799735685.04610394.9538973104504.751035857.1252243730.72794184933.5
    20
    2025-05-21 00:00:00.0001034655646473050956419700086.2481793.751833119906.2222221019998.3752259967.71111182979
    ...
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