diff --git a/.github/workflows/MainDistributionPipeline.yml b/.github/workflows/MainDistributionPipeline.yml
index 2219615..644155c 100644
--- a/.github/workflows/MainDistributionPipeline.yml
+++ b/.github/workflows/MainDistributionPipeline.yml
@@ -1,73 +1,28 @@
#
-# Build, test and (optionally) release the extension
+# Build and test the extension using the DuckDB reusable CI workflow.
+# Tracks the v1.4 stable branch so point releases (v1.4.5, v1.4.6, ...)
+# automatically trigger a rebuild with matching platform strings.
#
name: Main Extension Distribution Pipeline
on:
push:
pull_request:
workflow_dispatch:
+ schedule:
+ - cron: "0 8 * * 1-5"
concurrency:
- group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || '' }}-${{ github.base_ref || '' }}-${{ github.ref != 'refs/heads/main' && github.sha || '' }}
- cancel-in-progress: true
+ group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || '' }}-${{ github.base_ref || '' }}-${{ github.ref != 'refs/heads/main' || github.sha }}
+ cancel-in-progress: false
jobs:
- build:
- name: Build (${{ matrix.duckdb_arch }})
- runs-on: ${{ matrix.os }}
- strategy:
- fail-fast: false
- matrix:
- include:
- - os: ubuntu-latest
- duckdb_arch: linux_amd64
- rust_target: x86_64-unknown-linux-gnu
- - os: macos-14
- duckdb_arch: osx_amd64
- rust_target: x86_64-apple-darwin
- osx_build_arch: x86_64
- - os: macos-14
- duckdb_arch: osx_arm64
- rust_target: aarch64-apple-darwin
- osx_build_arch: arm64
- - os: windows-latest
- duckdb_arch: windows_amd64
- rust_target: x86_64-pc-windows-msvc
- env:
- OSX_BUILD_ARCH: ${{ matrix.osx_build_arch }}
-
- steps:
- - uses: actions/checkout@v4
- with:
- submodules: recursive
- fetch-depth: 0
-
- - name: Install Rust
- uses: dtolnay/rust-toolchain@stable
- with:
- targets: ${{ matrix.rust_target }}
-
- - name: Build extension (Unix)
- if: runner.os != 'Windows'
- run: make release
-
- - name: Build extension (Windows)
- if: runner.os == 'Windows'
- shell: bash
- run: |
- cd yardstick-rs && cargo build --release
- cd ..
- mkdir -p build/release
- cd build/release
- cmake -G "Visual Studio 17 2022" -A x64 -DCMAKE_BUILD_TYPE=Release ../..
- cmake --build . --config Release
-
- - name: Test extension
- if: matrix.osx_build_arch != 'x86_64' && runner.os != 'Windows'
- run: make test
-
- - name: Upload artifact
- uses: actions/upload-artifact@v4
- with:
- name: yardstick-${{ matrix.duckdb_arch }}
- path: build/release/extension/yardstick/yardstick.duckdb_extension
+ duckdb-stable-build:
+ name: Build extension binaries
+ uses: duckdb/extension-ci-tools/.github/workflows/_extension_distribution.yml@main
+ with:
+ duckdb_version: v1.4-andium
+ ci_tools_version: main
+ extension_name: yardstick
+ extra_toolchains: rust
+ exclude_archs: "wasm_mvp;wasm_eh;wasm_threads;linux_amd64_gcc4;windows_amd64_rtools;windows_amd64_mingw"
+ rust_logs: true
diff --git a/.gitmodules b/.gitmodules
index 75d9a82..859dbd9 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,6 +1,8 @@
[submodule "duckdb"]
path = duckdb
url = https://github.com/duckdb/duckdb
+ branch = main
[submodule "extension-ci-tools"]
path = extension-ci-tools
- url = https://github.com/duckdb/extension-ci-tools
+ url = https://github.com/duckdb/extension-ci-tools.git
+ branch = main
diff --git a/docs/yardstick_adtech_kitchen_sink.ipynb b/docs/yardstick_adtech_kitchen_sink.ipynb
new file mode 100644
index 0000000..1cfd4a2
--- /dev/null
+++ b/docs/yardstick_adtech_kitchen_sink.ipynb
@@ -0,0 +1,4972 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5295dcf0",
+ "metadata": {
+ "jupyter": {
+ "source_hidden": true
+ }
+ },
+ "outputs": [],
+ "source": [
+ "# /// script\n",
+ "# requires-python = \">=3.13\"\n",
+ "# dependencies = [\n",
+ "# \"altair\",\n",
+ "# \"duckdb\",\n",
+ "# \"ipywidgets\",\n",
+ "# \"jupyterlab\",\n",
+ "# \"pandas\",\n",
+ "# \"plotly\",\n",
+ "# ]\n",
+ "#\n",
+ "# [tool.uv]\n",
+ "# exclude-newer = \"2025-12-29T09:27:05.834166-08:00\"\n",
+ "# ///"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "fdaf96bc",
+ "metadata": {},
+ "source": [
+ "# Yardstick + DuckDB: Adtech kitchen sink\n",
+ "\n",
+ "This notebook builds a synthetic adtech dataset with multiple dimension tables, a wide denormalized view, derived measures, ad hoc metrics, an interactive Altair dashboard, and cohort retention.\n",
+ "\n",
+ "Run from the repo root with juv:\n",
+ "\n",
+ "```bash\n",
+ "# optional install\n",
+ "uv tool install juv\n",
+ "\n",
+ "# run (no install)\n",
+ "uvx juv run docs/yardstick_adtech_kitchen_sink.ipynb\n",
+ "# or\n",
+ "juv run docs/yardstick_adtech_kitchen_sink.ipynb\n",
+ "```\n",
+ "\n",
+ "If the local extension is built, the notebook loads it from `build/release/extension/yardstick/yardstick.duckdb_extension`. Otherwise it falls back to `INSTALL yardstick FROM community`.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 50,
+ "id": "2b335a68",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from pathlib import Path\n",
+ "import duckdb\n",
+ "import pandas as pd\n",
+ "import altair as alt\n",
+ "import tempfile\n",
+ "import ipywidgets as widgets\n",
+ "from IPython.display import display, clear_output\n",
+ "\n",
+ "alt.data_transformers.disable_max_rows()\n",
+ "alt.renderers.enable(\"default\")\n",
+ "\n",
+ "conn = duckdb.connect(database=\":memory:\", config={\"allow_unsigned_extensions\": \"true\"})\n",
+ "\n",
+ "temp_dir = Path(tempfile.gettempdir()) / \"yardstick_duckdb_tmp\"\n",
+ "temp_dir.mkdir(parents=True, exist_ok=True)\n",
+ "conn.execute(f\"pragma temp_directory='{temp_dir.as_posix()}'\")\n",
+ "conn.execute(\"pragma memory_limit='3GB'\")\n",
+ "conn.execute(\"pragma preserve_insertion_order=false\")\n",
+ "conn.execute(\"pragma threads=4\")\n",
+ "\n",
+ "ext_path = Path(\"build/release/extension/yardstick/yardstick.duckdb_extension\").resolve()\n",
+ "if ext_path.exists():\n",
+ " conn.execute(f\"LOAD '{ext_path.as_posix()}'\")\n",
+ "else:\n",
+ " conn.execute(\"INSTALL yardstick FROM community\")\n",
+ " conn.execute(\"LOAD yardstick\")\n",
+ "\n",
+ "def exec_sql(sql: str) -> None:\n",
+ " conn.execute(sql)\n",
+ "\n",
+ "def df_sql(sql: str) -> pd.DataFrame:\n",
+ " return conn.sql(sql).df()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1bca9f8b",
+ "metadata": {},
+ "source": [
+ "## Build the data model\n",
+ "\n",
+ "Dimensions: advertisers, campaigns, creatives, placements, geos.\n",
+ "Fact: daily ad_events.\n",
+ "Wide view: ad_events_wide (denormalized).\n",
+ "Measures view: ad_measures_v (Yardstick measures + derived calculations).\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 51,
+ "id": "d02fcdd9",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "f0baae4874984155bd55801a13a41128",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "campaign_count = 200\n",
+ "campaigns_per_advertiser = 5\n",
+ "advertiser_count = campaign_count // campaigns_per_advertiser\n",
+ "creatives_per_campaign = 3\n",
+ "creative_count = campaign_count * creatives_per_campaign\n",
+ "placement_count = 14\n",
+ "density_mod = 9\n",
+ "density_cutoff = 8\n",
+ "date_days = 730\n",
+ "\n",
+ "exec_sql(f\"\"\"\n",
+ "create or replace table advertisers as\n",
+ "select\n",
+ " advertiser_id,\n",
+ " 'Advertiser ' || advertiser_id as advertiser,\n",
+ " case advertiser_id % 4\n",
+ " when 0 then 'Retail'\n",
+ " when 1 then 'SaaS'\n",
+ " when 2 then 'Gaming'\n",
+ " else 'FinTech'\n",
+ " end as vertical,\n",
+ " case\n",
+ " when advertiser_id in (1, 2, 3, 4) then 'Enterprise'\n",
+ " when advertiser_id in (5, 6, 7, 8, 9, 10) then 'Mid-Market'\n",
+ " else 'SMB'\n",
+ " end as tier,\n",
+ " case advertiser_id % 3\n",
+ " when 0 then 'NA'\n",
+ " when 1 then 'EMEA'\n",
+ " else 'APAC'\n",
+ " end as account_region\n",
+ "from range(1, {advertiser_count + 1}) t(advertiser_id);\n",
+ "\n",
+ "create or replace table advertiser_lifecycle as\n",
+ "select\n",
+ " advertiser_id,\n",
+ " date '2024-01-01' + ((advertiser_id * 29) % 180)::integer as account_start,\n",
+ " least(\n",
+ " date '2025-12-31',\n",
+ " date '2024-01-01' + ((advertiser_id * 29) % 180 + 180 + ((advertiser_id * 13) % 450))::integer\n",
+ " ) as account_end\n",
+ "from advertisers;\n",
+ "\n",
+ "create or replace table agency_accounts as\n",
+ "select\n",
+ " advertiser_id,\n",
+ " case advertiser_id % 5\n",
+ " when 0 then 'Northwind Media'\n",
+ " when 1 then 'Starlight Performance'\n",
+ " when 2 then 'BlueSky Growth'\n",
+ " when 3 then 'Vertex Digital'\n",
+ " else 'Nimbus Creative'\n",
+ " end as agency,\n",
+ " case advertiser_id % 3\n",
+ " when 0 then 'OmniGroup'\n",
+ " when 1 then 'Publicis-ish'\n",
+ " else 'Indie'\n",
+ " end as holding_company,\n",
+ " case advertiser_id % 3\n",
+ " when 0 then 'Managed'\n",
+ " when 1 then 'Self-Serve'\n",
+ " else 'Hybrid'\n",
+ " end as buying_model,\n",
+ " case advertiser_id % 2\n",
+ " when 0 then 'Annual'\n",
+ " else 'Quarterly'\n",
+ " end as contract_type\n",
+ "from advertisers;\n",
+ "\n",
+ "create or replace table brands as\n",
+ "select\n",
+ " advertiser_id,\n",
+ " 'Brand ' || advertiser_id as brand,\n",
+ " case advertiser_id % 3\n",
+ " when 0 then 'Core'\n",
+ " when 1 then 'Growth'\n",
+ " else 'Enterprise'\n",
+ " end as product_line,\n",
+ " case advertiser_id % 4\n",
+ " when 0 then 'Consumer'\n",
+ " when 1 then 'Prosumer'\n",
+ " when 2 then 'SMB'\n",
+ " else 'B2B'\n",
+ " end as portfolio\n",
+ "from advertisers;\n",
+ "\n",
+ "create or replace table campaigns as\n",
+ "select\n",
+ " campaign_id,\n",
+ " 1 + ((campaign_id - 1) / {campaigns_per_advertiser}) as advertiser_id,\n",
+ " 'Campaign ' || campaign_id as campaign,\n",
+ " case campaign_id % 3\n",
+ " when 0 then 'Performance'\n",
+ " when 1 then 'Acquisition'\n",
+ " else 'Awareness'\n",
+ " end as objective,\n",
+ " case campaign_id % 4\n",
+ " when 0 then 'CPA'\n",
+ " when 1 then 'ROAS'\n",
+ " when 2 then 'CTR'\n",
+ " else 'Reach'\n",
+ " end as optimization_goal,\n",
+ " date '2024-01-01' + ((campaign_id * 11) % 320)::integer as start_date,\n",
+ " date '2024-01-01' + ((campaign_id * 11) % 320 + 180 + (campaign_id % 45))::integer as end_date,\n",
+ " 60000 + (campaign_id % 5) * 20000 as planned_budget\n",
+ "from range(1, {campaign_count + 1}) t(campaign_id);\n",
+ "\n",
+ "create or replace table audience_targets as\n",
+ "select\n",
+ " campaign_id,\n",
+ " case campaign_id % 5\n",
+ " when 0 then 'Prospecting'\n",
+ " when 1 then 'Retargeting'\n",
+ " when 2 then 'Lookalike'\n",
+ " when 3 then 'Loyalty'\n",
+ " else 'Lapsed'\n",
+ " end as audience_segment,\n",
+ " case campaign_id % 4\n",
+ " when 0 then '18-24'\n",
+ " when 1 then '25-34'\n",
+ " when 2 then '35-44'\n",
+ " else '45+'\n",
+ " end as age_bucket,\n",
+ " case campaign_id % 3\n",
+ " when 0 then 'Female'\n",
+ " when 1 then 'Male'\n",
+ " else 'All'\n",
+ " end as gender,\n",
+ " case campaign_id % 4\n",
+ " when 0 then 'New'\n",
+ " when 1 then 'Active'\n",
+ " when 2 then 'Churn Risk'\n",
+ " else 'Reactivation'\n",
+ " end as lifecycle_stage\n",
+ "from campaigns;\n",
+ "\n",
+ "create or replace table creatives as\n",
+ "select\n",
+ " creative_id,\n",
+ " 1 + ((creative_id - 1) / {creatives_per_campaign}) as campaign_id,\n",
+ " 'Creative ' || creative_id as creative,\n",
+ " case creative_id % 4\n",
+ " when 0 then 'Video'\n",
+ " when 1 then 'Display'\n",
+ " when 2 then 'Native'\n",
+ " else 'Audio'\n",
+ " end as format,\n",
+ " case creative_id % 3\n",
+ " when 0 then 'Brand'\n",
+ " when 1 then 'Value'\n",
+ " else 'Product'\n",
+ " end as concept\n",
+ "from range(1, {creative_count + 1}) t(creative_id);\n",
+ "\n",
+ "create or replace table creative_tags as\n",
+ "select\n",
+ " creative_id,\n",
+ " case creative_id % 4\n",
+ " when 0 then 'Bold'\n",
+ " when 1 then 'Minimal'\n",
+ " when 2 then 'Story'\n",
+ " else 'Utility'\n",
+ " end as message_tone,\n",
+ " case creative_id % 3\n",
+ " when 0 then 'Discount'\n",
+ " when 1 then 'Free Trial'\n",
+ " else 'No Offer'\n",
+ " end as offer_type,\n",
+ " case creative_id % 2\n",
+ " when 0 then 'English'\n",
+ " else 'Spanish'\n",
+ " end as language,\n",
+ " case creative_id % 3\n",
+ " when 0 then 'Landing Page'\n",
+ " when 1 then 'App Store'\n",
+ " else 'Lead Form'\n",
+ " end as landing_type\n",
+ "from creatives;\n",
+ "\n",
+ "create or replace table placements as\n",
+ "select\n",
+ " placement_id,\n",
+ " case placement_id % 4\n",
+ " when 0 then 'NewsCo'\n",
+ " when 1 then 'Streamly'\n",
+ " when 2 then 'SocialHub'\n",
+ " else 'PodSpace'\n",
+ " end as publisher,\n",
+ " case placement_id % 3\n",
+ " when 0 then 'news.com'\n",
+ " when 1 then 'video.app'\n",
+ " else 'podcast.fm'\n",
+ " end as site,\n",
+ " case placement_id % 3\n",
+ " when 0 then 'Header'\n",
+ " when 1 then 'In-Stream'\n",
+ " else 'Sidebar'\n",
+ " end as placement_type,\n",
+ " case when placement_id % 2 = 0 then 'Premium' else 'Standard' end as inventory_tier\n",
+ "from range(1, {placement_count + 1}) t(placement_id);\n",
+ "\n",
+ "create or replace table supply_paths as\n",
+ "select\n",
+ " placement_id,\n",
+ " case placement_id % 4\n",
+ " when 0 then 'Magnite'\n",
+ " when 1 then 'PubMatic'\n",
+ " when 2 then 'OpenX'\n",
+ " else 'Index'\n",
+ " end as exchange,\n",
+ " case placement_id % 3\n",
+ " when 0 then 'Open Auction'\n",
+ " when 1 then 'PMP'\n",
+ " else 'PG'\n",
+ " end as deal_type,\n",
+ " case placement_id % 2\n",
+ " when 0 then 'First Price'\n",
+ " else 'Second Price'\n",
+ " end as auction_type,\n",
+ " case placement_id % 3\n",
+ " when 0 then 'Direct'\n",
+ " when 1 then 'Reseller'\n",
+ " else 'DSP'\n",
+ " end as supply_type\n",
+ "from placements;\n",
+ "\n",
+ "create or replace table geos as\n",
+ "select * from (values\n",
+ " ('New York', 'Northeast'),\n",
+ " ('California', 'West'),\n",
+ " ('Texas', 'South'),\n",
+ " ('Florida', 'South'),\n",
+ " ('Illinois', 'Midwest'),\n",
+ " ('Washington', 'West'),\n",
+ " ('Massachusetts', 'Northeast'),\n",
+ " ('Colorado', 'West'),\n",
+ " ('Arizona', 'West'),\n",
+ " ('Georgia', 'South')\n",
+ ") as t(geo, region_group);\n",
+ "\n",
+ "create or replace table ad_events as\n",
+ "with dates as (\n",
+ " select date '2024-01-01' + i::integer as event_date\n",
+ " from range(0, {date_days}) t(i)\n",
+ "),\n",
+ "base as (\n",
+ " select\n",
+ " d.event_date,\n",
+ " c.campaign_id,\n",
+ " c.advertiser_id,\n",
+ " c.objective\n",
+ " from dates d\n",
+ " join campaigns c\n",
+ " on d.event_date between c.start_date and c.end_date\n",
+ " join advertiser_lifecycle al\n",
+ " on c.advertiser_id = al.advertiser_id\n",
+ " and d.event_date between al.account_start and al.account_end\n",
+ "),\n",
+ "expanded as (\n",
+ " select\n",
+ " b.event_date,\n",
+ " b.advertiser_id,\n",
+ " b.campaign_id,\n",
+ " b.objective,\n",
+ " ch.channel,\n",
+ " dv.device,\n",
+ " g.geo,\n",
+ " p.placement_id,\n",
+ " abs(hash(b.event_date, b.campaign_id, ch.channel, dv.device, g.geo, p.placement_id)) as seed\n",
+ " from base b\n",
+ " cross join (select unnest(['Search', 'Social', 'Display', 'Video']) as channel) ch\n",
+ " cross join (select unnest(['Desktop', 'Mobile', 'CTV']) as device) dv\n",
+ " cross join geos g\n",
+ " cross join placements p\n",
+ " where (abs(hash(b.event_date, b.campaign_id, ch.channel, dv.device, g.geo, p.placement_id)) % {density_mod}) < {density_cutoff}\n",
+ "),\n",
+ "metrics as (\n",
+ " select\n",
+ " event_date,\n",
+ " advertiser_id,\n",
+ " campaign_id,\n",
+ " objective,\n",
+ " channel,\n",
+ " device,\n",
+ " geo,\n",
+ " placement_id,\n",
+ " 1 + ((campaign_id - 1) * {creatives_per_campaign} + (seed % {creatives_per_campaign})) as creative_id,\n",
+ " seed,\n",
+ " 200 + (seed % 1800) as impressions,\n",
+ " case channel\n",
+ " when 'Search' then 0.040\n",
+ " when 'Social' then 0.022\n",
+ " when 'Display' then 0.012\n",
+ " else 0.009\n",
+ " end\n",
+ " + case device\n",
+ " when 'Mobile' then 0.006\n",
+ " when 'CTV' then -0.004\n",
+ " else 0.0\n",
+ " end\n",
+ " + ((seed % 70)::double / 10000.0) as ctr,\n",
+ " case objective\n",
+ " when 'Performance' then 0.060\n",
+ " when 'Acquisition' then 0.045\n",
+ " else 0.020\n",
+ " end\n",
+ " + ((seed % 30)::double / 10000.0) as cvr,\n",
+ " case channel\n",
+ " when 'Search' then 18\n",
+ " when 'Social' then 12\n",
+ " when 'Display' then 8\n",
+ " else 16\n",
+ " end\n",
+ " + case when placement_id % 2 = 0 then 4 else 0 end\n",
+ " + ((seed % 30)::double / 10.0) as cpm\n",
+ " from expanded\n",
+ "),\n",
+ "final as (\n",
+ " select\n",
+ " event_date,\n",
+ " advertiser_id,\n",
+ " campaign_id,\n",
+ " creative_id,\n",
+ " placement_id,\n",
+ " channel,\n",
+ " device,\n",
+ " geo,\n",
+ " impressions,\n",
+ " floor(impressions * ctr)::integer as clicks,\n",
+ " floor(impressions * ctr * cvr)::integer as conversions,\n",
+ " floor(impressions * 0.0004)::integer as view_through,\n",
+ " round(impressions / 1000.0 * cpm, 2) as spend,\n",
+ " round(\n",
+ " (floor(impressions * ctr * cvr)::double) *\n",
+ " case channel\n",
+ " when 'Search' then 110\n",
+ " when 'Social' then 90\n",
+ " when 'Display' then 70\n",
+ " else 100\n",
+ " end\n",
+ " + (floor(impressions * 0.0004)::double) * 15,\n",
+ " 2\n",
+ " ) as revenue\n",
+ " from metrics\n",
+ ")\n",
+ "select * from final;\n",
+ "\n",
+ "create or replace view ad_events_wide as\n",
+ "select\n",
+ " e.event_date,\n",
+ " extract(year from e.event_date) as year,\n",
+ " date_trunc('week', e.event_date) as week,\n",
+ " date_trunc('month', e.event_date) as month,\n",
+ " date_trunc('quarter', e.event_date) as quarter,\n",
+ " extract(dow from e.event_date) as day_of_week,\n",
+ " case when extract(dow from e.event_date) in (0, 6) then true else false end as is_weekend,\n",
+ " e.advertiser_id,\n",
+ " a.advertiser,\n",
+ " a.vertical,\n",
+ " a.tier,\n",
+ " a.account_region,\n",
+ " aa.agency,\n",
+ " aa.holding_company,\n",
+ " aa.buying_model,\n",
+ " aa.contract_type,\n",
+ " b.brand,\n",
+ " b.product_line,\n",
+ " b.portfolio,\n",
+ " e.campaign_id,\n",
+ " c.campaign,\n",
+ " c.objective,\n",
+ " c.optimization_goal,\n",
+ " c.start_date,\n",
+ " c.end_date,\n",
+ " c.planned_budget,\n",
+ " aud.audience_segment,\n",
+ " aud.age_bucket,\n",
+ " aud.gender,\n",
+ " aud.lifecycle_stage,\n",
+ " e.creative_id,\n",
+ " cr.creative,\n",
+ " cr.format as creative_format,\n",
+ " cr.concept,\n",
+ " ct.message_tone,\n",
+ " ct.offer_type,\n",
+ " ct.language,\n",
+ " ct.landing_type,\n",
+ " e.placement_id,\n",
+ " p.publisher,\n",
+ " p.site,\n",
+ " p.placement_type,\n",
+ " p.inventory_tier,\n",
+ " sp.exchange,\n",
+ " sp.deal_type,\n",
+ " sp.auction_type,\n",
+ " sp.supply_type,\n",
+ " e.channel,\n",
+ " e.device,\n",
+ " g.geo,\n",
+ " g.region_group,\n",
+ " e.impressions,\n",
+ " e.clicks,\n",
+ " e.conversions,\n",
+ " e.view_through,\n",
+ " e.spend,\n",
+ " e.revenue,\n",
+ " e.revenue - e.spend as profit,\n",
+ " case when e.impressions > 0 then e.clicks::double / e.impressions else null end as row_ctr,\n",
+ " case when e.clicks > 0 then e.conversions::double / e.clicks else null end as row_cvr,\n",
+ " datediff('day', c.start_date, e.event_date) as flight_day,\n",
+ " case\n",
+ " when datediff('day', c.start_date, c.end_date) <= 0 then null\n",
+ " else datediff('day', c.start_date, e.event_date)::double / nullif(datediff('day', c.start_date, c.end_date), 0)\n",
+ " end as flight_progress,\n",
+ " case\n",
+ " when datediff('day', c.start_date, c.end_date) <= 0 then 'Single-day'\n",
+ " when datediff('day', c.start_date, e.event_date) < (datediff('day', c.start_date, c.end_date) / 3) then 'Launch'\n",
+ " when datediff('day', c.start_date, e.event_date) < (2 * datediff('day', c.start_date, c.end_date) / 3) then 'Mid'\n",
+ " else 'Tail'\n",
+ " end as flight_phase,\n",
+ " case\n",
+ " when extract(month from e.event_date) in (12, 1, 2) then 'Winter'\n",
+ " when extract(month from e.event_date) in (3, 4, 5) then 'Spring'\n",
+ " when extract(month from e.event_date) in (6, 7, 8) then 'Summer'\n",
+ " else 'Fall'\n",
+ " end as season\n",
+ "from ad_events e\n",
+ "join advertisers a using (advertiser_id)\n",
+ "join agency_accounts aa using (advertiser_id)\n",
+ "join brands b using (advertiser_id)\n",
+ "join campaigns c using (campaign_id)\n",
+ "join audience_targets aud using (campaign_id)\n",
+ "join creatives cr using (creative_id)\n",
+ "join creative_tags ct using (creative_id)\n",
+ "join placements p using (placement_id)\n",
+ "join supply_paths sp using (placement_id)\n",
+ "join geos g using (geo);\n",
+ "\n",
+ "create or replace view ad_measures_v as\n",
+ "select\n",
+ " event_date,\n",
+ " year,\n",
+ " week,\n",
+ " month,\n",
+ " quarter,\n",
+ " day_of_week,\n",
+ " is_weekend,\n",
+ " season,\n",
+ " advertiser,\n",
+ " vertical,\n",
+ " tier,\n",
+ " account_region,\n",
+ " agency,\n",
+ " holding_company,\n",
+ " buying_model,\n",
+ " contract_type,\n",
+ " brand,\n",
+ " product_line,\n",
+ " portfolio,\n",
+ " campaign,\n",
+ " objective,\n",
+ " optimization_goal,\n",
+ " audience_segment,\n",
+ " age_bucket,\n",
+ " gender,\n",
+ " lifecycle_stage,\n",
+ " creative_format,\n",
+ " concept,\n",
+ " message_tone,\n",
+ " offer_type,\n",
+ " language,\n",
+ " landing_type,\n",
+ " publisher,\n",
+ " site,\n",
+ " placement_type,\n",
+ " inventory_tier,\n",
+ " exchange,\n",
+ " deal_type,\n",
+ " auction_type,\n",
+ " supply_type,\n",
+ " channel,\n",
+ " device,\n",
+ " geo,\n",
+ " region_group,\n",
+ " flight_phase,\n",
+ " sum(impressions) as measure impressions,\n",
+ " sum(clicks) as measure clicks,\n",
+ " sum(conversions) as measure conversions,\n",
+ " sum(view_through) as measure view_through,\n",
+ " sum(spend) as measure spend,\n",
+ " sum(revenue) as measure revenue,\n",
+ " sum(revenue - spend) as measure profit,\n",
+ " sum(spend * case deal_type when 'PMP' then 0.10 when 'PG' then 0.14 else 0.06 end) as measure supply_fee,\n",
+ " sum(spend * case buying_model when 'Self-Serve' then 0.03 when 'Hybrid' then 0.05 else 0.06 end) as measure platform_fee,\n",
+ " sum(revenue - spend - (spend * case deal_type when 'PMP' then 0.10 when 'PG' then 0.14 else 0.06 end)\n",
+ " - (spend * case buying_model when 'Self-Serve' then 0.03 when 'Hybrid' then 0.05 else 0.06 end)) as measure net_profit\n",
+ "from ad_events_wide;\n",
+ "\n",
+ "create or replace view ad_social_2025_v as\n",
+ "select\n",
+ " creative_format,\n",
+ " sum(spend) as measure spend,\n",
+ " sum(revenue) as measure revenue\n",
+ "from ad_events_wide\n",
+ "where year = 2025 and channel = 'Social';\n",
+ "\n",
+ "create or replace table campaign_channel_wide as\n",
+ "select\n",
+ " campaign,\n",
+ " advertiser,\n",
+ " sum(case when channel = 'Search' then spend else 0 end) as spend_search,\n",
+ " sum(case when channel = 'Social' then spend else 0 end) as spend_social,\n",
+ " sum(case when channel = 'Display' then spend else 0 end) as spend_display,\n",
+ " sum(case when channel = 'Video' then spend else 0 end) as spend_video,\n",
+ " sum(spend) as spend_total,\n",
+ " sum(revenue) as revenue_total\n",
+ "from ad_events_wide\n",
+ "group by 1, 2;\n",
+ "\n",
+ "create or replace table advertiser_month_channel_wide as\n",
+ "select\n",
+ " advertiser,\n",
+ " month,\n",
+ " sum(case when channel = 'Search' then spend else 0 end) as spend_search,\n",
+ " sum(case when channel = 'Social' then spend else 0 end) as spend_social,\n",
+ " sum(case when channel = 'Display' then spend else 0 end) as spend_display,\n",
+ " sum(case when channel = 'Video' then spend else 0 end) as spend_video,\n",
+ " sum(spend) as spend_total,\n",
+ " sum(revenue) as revenue_total\n",
+ "from ad_events_wide\n",
+ "group by 1, 2;\n",
+ "\n",
+ "create or replace table agency_quarter_channel_wide as\n",
+ "select\n",
+ " holding_company,\n",
+ " quarter,\n",
+ " sum(case when channel = 'Search' then spend else 0 end) as spend_search,\n",
+ " sum(case when channel = 'Social' then spend else 0 end) as spend_social,\n",
+ " sum(case when channel = 'Display' then spend else 0 end) as spend_display,\n",
+ " sum(case when channel = 'Video' then spend else 0 end) as spend_video,\n",
+ " sum(spend) as spend_total,\n",
+ " sum(revenue) as revenue_total\n",
+ "from ad_events_wide\n",
+ "group by 1, 2;\n",
+ "\"\"\")\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 52,
+ "id": "fffb2aa3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
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+ " 2025-02-21 | \n",
+ " 2025 | \n",
+ " 2025-02-17 | \n",
+ " 2025-02-01 | \n",
+ " 2025-01-01 | \n",
+ " 5 | \n",
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+ " 2025-02-20 | \n",
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+ " 2025-02-17 | \n",
+ " 2025-02-01 | \n",
+ " 2025-01-01 | \n",
+ " 4 | \n",
+ " False | \n",
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+ " ... | \n",
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+ " 3 | \n",
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+ " 2025-02-18 | \n",
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+ " 2025-02-17 | \n",
+ " 2025-02-01 | \n",
+ " 2025-01-01 | \n",
+ " 2 | \n",
+ " False | \n",
+ " 6.0 | \n",
+ " Advertiser 6 | \n",
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+ " 19.12 | \n",
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+ " -19.12 | \n",
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+ " 128 | \n",
+ " 0.621359 | \n",
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+ " 2025-02-17 | \n",
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+ " 2025-02-01 | \n",
+ " 2025-01-01 | \n",
+ " 1 | \n",
+ " False | \n",
+ " 6.0 | \n",
+ " Advertiser 6 | \n",
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+ " ... | \n",
+ " 0 | \n",
+ " 11.98 | \n",
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+ "
6 rows × 64 columns
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " campaign | \n",
+ " advertiser | \n",
+ " spend_search | \n",
+ " spend_social | \n",
+ " spend_display | \n",
+ " spend_video | \n",
+ " spend_total | \n",
+ " revenue_total | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Campaign 151 | \n",
+ " Advertiser 31 | \n",
+ " 693774.06 | \n",
+ " 500811.33 | \n",
+ " 371024.28 | \n",
+ " 629865.78 | \n",
+ " 2195475.45 | \n",
+ " 9126760.0 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Campaign 56 | \n",
+ " Advertiser 12 | \n",
+ " 1688480.85 | \n",
+ " 1221615.23 | \n",
+ " 900961.12 | \n",
+ " 1526791.64 | \n",
+ " 5337848.84 | \n",
+ " 5123530.0 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Campaign 176 | \n",
+ " Advertiser 36 | \n",
+ " 827794.20 | \n",
+ " 596041.89 | \n",
+ " 440779.41 | \n",
+ " 750718.80 | \n",
+ " 2615334.30 | \n",
+ " 2511960.0 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Campaign 76 | \n",
+ " Advertiser 16 | \n",
+ " 1870500.72 | \n",
+ " 1344195.25 | \n",
+ " 995811.21 | \n",
+ " 1694036.86 | \n",
+ " 5904544.04 | \n",
+ " 24614320.0 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " Campaign 171 | \n",
+ " Advertiser 35 | \n",
+ " 176342.04 | \n",
+ " 128140.93 | \n",
+ " 93391.23 | \n",
+ " 159398.34 | \n",
+ " 557272.54 | \n",
+ " 3501650.0 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " Campaign 106 | \n",
+ " Advertiser 22 | \n",
+ " 1728980.98 | \n",
+ " 1248683.98 | \n",
+ " 923091.36 | \n",
+ " 1572619.47 | \n",
+ " 5473375.79 | \n",
+ " 22782160.0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " advertiser | \n",
+ " month | \n",
+ " spend_search | \n",
+ " spend_social | \n",
+ " spend_display | \n",
+ " spend_video | \n",
+ " spend_total | \n",
+ " revenue_total | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Advertiser 12 | \n",
+ " 2025-05-01 | \n",
+ " 17282.27 | \n",
+ " 12614.30 | \n",
+ " 9443.40 | \n",
+ " 16127.57 | \n",
+ " 55467.54 | \n",
+ " 49560.0 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Advertiser 12 | \n",
+ " 2025-03-01 | \n",
+ " 273452.72 | \n",
+ " 197560.66 | \n",
+ " 144869.69 | \n",
+ " 244958.18 | \n",
+ " 860841.25 | \n",
+ " 833080.0 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Advertiser 31 | \n",
+ " 2024-06-01 | \n",
+ " 25672.60 | \n",
+ " 18976.87 | \n",
+ " 14211.95 | \n",
+ " 23750.89 | \n",
+ " 82612.31 | \n",
+ " 342040.0 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Advertiser 6 | \n",
+ " 2025-03-01 | \n",
+ " 70908.83 | \n",
+ " 49874.07 | \n",
+ " 37874.86 | \n",
+ " 63130.71 | \n",
+ " 221788.47 | \n",
+ " 212290.0 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " Advertiser 30 | \n",
+ " 2024-07-01 | \n",
+ " 142411.47 | \n",
+ " 100770.74 | \n",
+ " 75430.41 | \n",
+ " 126357.17 | \n",
+ " 444969.79 | \n",
+ " 428570.0 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " Advertiser 30 | \n",
+ " 2024-05-01 | \n",
+ " 18118.33 | \n",
+ " 12661.10 | \n",
+ " 9563.13 | \n",
+ " 15873.00 | \n",
+ " 56215.56 | \n",
+ " 55540.0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " holding_company | \n",
+ " quarter | \n",
+ " spend_search | \n",
+ " spend_social | \n",
+ " spend_display | \n",
+ " spend_video | \n",
+ " spend_total | \n",
+ " revenue_total | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Publicis-ish | \n",
+ " 2024-04-01 | \n",
+ " 4163018.72 | \n",
+ " 2993801.63 | \n",
+ " 2221118.69 | \n",
+ " 3780476.27 | \n",
+ " 13158415.31 | \n",
+ " 54816130.0 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " OmniGroup | \n",
+ " 2024-10-01 | \n",
+ " 6295283.46 | \n",
+ " 4531029.79 | \n",
+ " 3357187.30 | \n",
+ " 5695159.76 | \n",
+ " 19878660.31 | \n",
+ " 19068180.0 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Indie | \n",
+ " 2025-01-01 | \n",
+ " 3143644.55 | \n",
+ " 2260989.95 | \n",
+ " 1675675.26 | \n",
+ " 2848689.08 | \n",
+ " 9928998.84 | \n",
+ " 62234000.0 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Indie | \n",
+ " 2024-07-01 | \n",
+ " 6247881.75 | \n",
+ " 4498721.81 | \n",
+ " 3343647.20 | \n",
+ " 5665079.79 | \n",
+ " 19755330.55 | \n",
+ " 123762780.0 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " Indie | \n",
+ " 2025-04-01 | \n",
+ " 185137.75 | \n",
+ " 131279.84 | \n",
+ " 98614.62 | \n",
+ " 167996.69 | \n",
+ " 583028.90 | \n",
+ " 3673830.0 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " Indie | \n",
+ " 2024-01-01 | \n",
+ " 396088.50 | \n",
+ " 287948.82 | \n",
+ " 211319.92 | \n",
+ " 358030.04 | \n",
+ " 1253387.28 | \n",
+ " 7871460.0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " scope | \n",
+ " impressions | \n",
+ " clicks | \n",
+ " conversions | \n",
+ " spend | \n",
+ " revenue | \n",
+ " profit | \n",
+ " supply_fee | \n",
+ " platform_fee | \n",
+ " net_profit | \n",
+ " roas | \n",
+ " ctr | \n",
+ " net_margin | \n",
+ " take_rate | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " All | \n",
+ " 1.138645e+10 | \n",
+ " 277979797.0 | \n",
+ " 7397683.0 | \n",
+ " 1.929273e+08 | \n",
+ " 737298840.0 | \n",
+ " 5.443716e+08 | \n",
+ " 1.991016e+07 | \n",
+ " 8951315.9 | \n",
+ " 5.155101e+08 | \n",
+ " 3.821641 | \n",
+ " 0.024413 | \n",
+ " 0.699187 | \n",
+ " 0.046397 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " channel | \n",
+ " spend | \n",
+ " pct_total | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Search | \n",
+ " 6.103939e+07 | \n",
+ " 31.638551 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Video | \n",
+ " 5.533500e+07 | \n",
+ " 28.681792 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Social | \n",
+ " 4.396938e+07 | \n",
+ " 22.790648 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Display | \n",
+ " 3.258351e+07 | \n",
+ " 16.889010 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " year | \n",
+ " vertical | \n",
+ " spend | \n",
+ " pct_of_year | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 2024 | \n",
+ " SaaS | \n",
+ " 4.471637e+07 | \n",
+ " 27.545697 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 2024 | \n",
+ " FinTech | \n",
+ " 3.968177e+07 | \n",
+ " 24.444337 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 2024 | \n",
+ " Retail | \n",
+ " 3.915766e+07 | \n",
+ " 24.121478 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 2024 | \n",
+ " Gaming | \n",
+ " 3.877944e+07 | \n",
+ " 23.888488 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 2025 | \n",
+ " Retail | \n",
+ " 9.813166e+06 | \n",
+ " 32.077520 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 2025 | \n",
+ " Gaming | \n",
+ " 9.459038e+06 | \n",
+ " 30.919937 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 2025 | \n",
+ " SaaS | \n",
+ " 6.430740e+06 | \n",
+ " 21.020964 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " 2025 | \n",
+ " FinTech | \n",
+ " 4.889090e+06 | \n",
+ " 15.981579 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " advertiser | \n",
+ " rev_2025 | \n",
+ " rev_2024 | \n",
+ " yoy_change | \n",
+ " yoy_pct | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Advertiser 24 | \n",
+ " 4181110.0 | \n",
+ " 1334630.0 | \n",
+ " 2846480.0 | \n",
+ " 213.278587 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Advertiser 18 | \n",
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+ " 1606820.0 | \n",
+ " 2692210.0 | \n",
+ " 167.548948 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Advertiser 12 | \n",
+ " 3249420.0 | \n",
+ " 1874110.0 | \n",
+ " 1375310.0 | \n",
+ " 73.384700 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Advertiser 6 | \n",
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+ " -319270.0 | \n",
+ " -15.081532 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
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+ " -3.375484 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
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+ " -1461380.0 | \n",
+ " -7.981954 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
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+ " -2230260.0 | \n",
+ " -11.123059 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
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+ " 5247430.0 | \n",
+ " -4929730.0 | \n",
+ " -93.945608 | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
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+ " 443230.0 | \n",
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+ " -5031390.0 | \n",
+ " -91.903913 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
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+ " 8344890.0 | \n",
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+ " -7859030.0 | \n",
+ " -48.500795 | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " Advertiser 11 | \n",
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+ " -10988740.0 | \n",
+ " -50.445685 | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " Advertiser 28 | \n",
+ " 3695910.0 | \n",
+ " 17369190.0 | \n",
+ " -13673280.0 | \n",
+ " -78.721460 | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " Advertiser 22 | \n",
+ " 4253890.0 | \n",
+ " 18528270.0 | \n",
+ " -14274380.0 | \n",
+ " -77.041084 | \n",
+ "
\n",
+ " \n",
+ " | 13 | \n",
+ " Advertiser 16 | \n",
+ " 4855520.0 | \n",
+ " 19758800.0 | \n",
+ " -14903280.0 | \n",
+ " -75.426038 | \n",
+ "
\n",
+ " \n",
+ " | 14 | \n",
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+ " 4374420.0 | \n",
+ " 23545050.0 | \n",
+ " -19170630.0 | \n",
+ " -81.421063 | \n",
+ "
\n",
+ " \n",
+ " | 15 | \n",
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+ " 232150.0 | \n",
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+ " -20553650.0 | \n",
+ " -98.883132 | \n",
+ "
\n",
+ " \n",
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+ " Advertiser 38 | \n",
+ " NaN | \n",
+ " 21099650.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
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\n",
+ " \n",
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+ " NaN | \n",
+ " 20037620.0 | \n",
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\n",
+ " \n",
+ " | 18 | \n",
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+ " NaN | \n",
+ " 35182480.0 | \n",
+ " NaN | \n",
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\n",
+ " \n",
+ " | 19 | \n",
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+ " NaN | \n",
+ " 4952070.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 20 | \n",
+ " Advertiser 1 | \n",
+ " NaN | \n",
+ " 19009760.0 | \n",
+ " NaN | \n",
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\n",
+ " \n",
+ " | 21 | \n",
+ " Advertiser 14 | \n",
+ " NaN | \n",
+ " 35244760.0 | \n",
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+ "
\n",
+ " \n",
+ " | 22 | \n",
+ " Advertiser 25 | \n",
+ " NaN | \n",
+ " 24522350.0 | \n",
+ " NaN | \n",
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+ "
\n",
+ " \n",
+ " | 23 | \n",
+ " Advertiser 36 | \n",
+ " NaN | \n",
+ " 2511960.0 | \n",
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+ "
\n",
+ " \n",
+ " | 24 | \n",
+ " Advertiser 37 | \n",
+ " NaN | \n",
+ " 9263070.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 25 | \n",
+ " Advertiser 35 | \n",
+ " NaN | \n",
+ " 3501650.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 26 | \n",
+ " Advertiser 20 | \n",
+ " NaN | \n",
+ " 32606700.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 27 | \n",
+ " Advertiser 7 | \n",
+ " NaN | \n",
+ " 24356390.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 28 | \n",
+ " Advertiser 26 | \n",
+ " NaN | \n",
+ " 37705570.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 29 | \n",
+ " Advertiser 8 | \n",
+ " NaN | \n",
+ " 37735940.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 30 | \n",
+ " Advertiser 15 | \n",
+ " NaN | \n",
+ " 5501130.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 31 | \n",
+ " Advertiser 13 | \n",
+ " NaN | \n",
+ " 22782110.0 | \n",
+ " NaN | \n",
+ " NaN | \n",
+ "
\n",
+ " \n",
+ " | 32 | \n",
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+ " NaN | \n",
+ " 9126760.0 | \n",
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\n",
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\n",
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+ " NaN | \n",
+ " 5907520.0 | \n",
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\n",
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+ " NaN | \n",
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\n",
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+ " NaN | \n",
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\n",
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+ " NaN | \n",
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\n",
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\n",
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+ " NaN | \n",
+ " 21095490.0 | \n",
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\n",
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\n",
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\n",
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\n",
+ " \n",
+ " \n",
+ " | \n",
+ " objective | \n",
+ " spend | \n",
+ " revenue | \n",
+ " ctr | \n",
+ " cvr | \n",
+ " cpc | \n",
+ " cpa | \n",
+ " roas | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Acquisition | \n",
+ " 6.610773e+07 | \n",
+ " 275263600.0 | \n",
+ " 0.024405 | \n",
+ " 0.028999 | \n",
+ " 0.694234 | \n",
+ " 23.939759 | \n",
+ " 4.163864 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Performance | \n",
+ " 6.410890e+07 | \n",
+ " 401960490.0 | \n",
+ " 0.024416 | \n",
+ " 0.044046 | \n",
+ " 0.693981 | \n",
+ " 15.755892 | \n",
+ " 6.269964 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Awareness | \n",
+ " 6.271065e+07 | \n",
+ " 60074750.0 | \n",
+ " 0.024419 | \n",
+ " 0.006278 | \n",
+ " 0.693876 | \n",
+ " 110.526920 | \n",
+ " 0.957967 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " device | \n",
+ " spend | \n",
+ " search_spend | \n",
+ " search_share | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Desktop | \n",
+ " 6.431682e+07 | \n",
+ " 6.103939e+07 | \n",
+ " 94.904246 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " CTV | \n",
+ " 6.430840e+07 | \n",
+ " 6.103939e+07 | \n",
+ " 94.916669 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Mobile | \n",
+ " 6.430205e+07 | \n",
+ " 6.103939e+07 | \n",
+ " 94.926042 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
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+ "
\n",
+ " \n",
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+ " Native | \n",
+ " 1920970.11 | \n",
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\n",
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+ " Video | \n",
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\n",
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+ " Audio | \n",
+ " 1634392.22 | \n",
+ " 23.451211 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Display | \n",
+ " 1631257.16 | \n",
+ " 23.406227 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n\n
\n \n \n | \n scope | \n impressions | \n clicks | \n conversions | \n spend | \n revenue | \n profit | \n supply_fee | \n platform_fee | \n net_profit | \n ctr | \n cvr | \n roas | \n cpc | \n cpa | \n net_margin | \n take_rate | \n
\n \n \n \n | 0 | \n Filtered | \n 1.138645e+10 | \n 277979797.0 | \n 7397683.0 | \n 1.929273e+08 | \n 737298840.0 | \n 5.443716e+08 | \n 1.991016e+07 | \n 8951315.9 | \n 5.155101e+08 | \n 0.024413 | \n 0.026612 | \n 3.821641 | \n 0.694033 | \n 26.07942 | \n 0.699187 | \n 0.046397 | \n
\n \n
\n
\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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\n",
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+ " 25.6% | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " East | \n",
+ " 137768.60 | \n",
+ " 25.346964 | \n",
+ " 25.3% | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " North | \n",
+ " 135297.35 | \n",
+ " 24.892298 | \n",
+ " 24.9% | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " West | \n",
+ " 131476.75 | \n",
+ " 24.189376 | \n",
+ " 24.2% | \n",
+ "
\n",
+ " \n",
+ "
\n",
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"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "region_df = df_sql(\"\"\"\n",
+ "SELECT\n",
+ " _outer.region,\n",
+ " aggregate(revenue) as revenue,\n",
+ " 100.0 * aggregate(revenue) / aggregate(revenue) at (all) as pct_total\n",
+ "from orders_v as _outer\n",
+ "order by revenue desc;\n",
+ "\"\"\")\n",
+ "region_df[\"pct_total_label\"] = region_df[\"pct_total\"].map(lambda v: f\"{float(v):.1f}%\")\n",
+ "display(region_df)\n",
+ "fig = px.bar(\n",
+ " region_df,\n",
+ " x=\"region\",\n",
+ " y=\"revenue\",\n",
+ " text=\"pct_total_label\",\n",
+ " title=\"Revenue by Region (share of total)\"\n",
+ ")\n",
+ "fig.update_traces(textposition=\"outside\")\n",
+ "fig.show()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "81f05cb8",
+ "metadata": {},
+ "source": [
+ "## Share within year\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "21e0af1c",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2025-12-29T07:58:58.542326Z",
+ "iopub.status.busy": "2025-12-29T07:58:58.542219Z",
+ "iopub.status.idle": "2025-12-29T07:58:58.550217Z",
+ "shell.execute_reply": "2025-12-29T07:58:58.549719Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " year | \n",
+ " region | \n",
+ " revenue | \n",
+ " pct_of_year | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 2023 | \n",
+ " South | \n",
+ " 75422.46 | \n",
+ " 25.558945 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 2023 | \n",
+ " East | \n",
+ " 74828.95 | \n",
+ " 25.357818 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 2023 | \n",
+ " North | \n",
+ " 73286.70 | \n",
+ " 24.835185 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 2023 | \n",
+ " West | \n",
+ " 71554.12 | \n",
+ " 24.248053 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 2024 | \n",
+ " South | \n",
+ " 63565.81 | \n",
+ " 25.586110 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 2024 | \n",
+ " East | \n",
+ " 62939.65 | \n",
+ " 25.334072 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 2024 | \n",
+ " North | \n",
+ " 62010.65 | \n",
+ " 24.960137 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " 2024 | \n",
+ " West | \n",
+ " 59922.63 | \n",
+ " 24.119680 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " year | \n",
+ " region | \n",
+ " channel | \n",
+ " revenue | \n",
+ " channel_share | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " 2023 | \n",
+ " East | \n",
+ " Retail | \n",
+ " 25290.30 | \n",
+ " 33.797481 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " 2023 | \n",
+ " East | \n",
+ " Partner | \n",
+ " 24981.30 | \n",
+ " 33.384539 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " 2023 | \n",
+ " East | \n",
+ " Online | \n",
+ " 24557.35 | \n",
+ " 32.817980 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " 2023 | \n",
+ " North | \n",
+ " Online | \n",
+ " 25001.05 | \n",
+ " 34.114034 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " 2023 | \n",
+ " North | \n",
+ " Partner | \n",
+ " 24288.45 | \n",
+ " 33.141689 | \n",
+ "
\n",
+ " \n",
+ " | 5 | \n",
+ " 2023 | \n",
+ " North | \n",
+ " Retail | \n",
+ " 23997.20 | \n",
+ " 32.744277 | \n",
+ "
\n",
+ " \n",
+ " | 6 | \n",
+ " 2023 | \n",
+ " South | \n",
+ " Retail | \n",
+ " 25165.80 | \n",
+ " 33.366453 | \n",
+ "
\n",
+ " \n",
+ " | 7 | \n",
+ " 2023 | \n",
+ " South | \n",
+ " Partner | \n",
+ " 25148.46 | \n",
+ " 33.343463 | \n",
+ "
\n",
+ " \n",
+ " | 8 | \n",
+ " 2023 | \n",
+ " South | \n",
+ " Online | \n",
+ " 25108.20 | \n",
+ " 33.290084 | \n",
+ "
\n",
+ " \n",
+ " | 9 | \n",
+ " 2023 | \n",
+ " West | \n",
+ " Partner | \n",
+ " 23940.25 | \n",
+ " 33.457542 | \n",
+ "
\n",
+ " \n",
+ " | 10 | \n",
+ " 2023 | \n",
+ " West | \n",
+ " Online | \n",
+ " 23822.06 | \n",
+ " 33.292367 | \n",
+ "
\n",
+ " \n",
+ " | 11 | \n",
+ " 2023 | \n",
+ " West | \n",
+ " Retail | \n",
+ " 23791.81 | \n",
+ " 33.250091 | \n",
+ "
\n",
+ " \n",
+ " | 12 | \n",
+ " 2024 | \n",
+ " East | \n",
+ " Online | \n",
+ " 21349.20 | \n",
+ " 33.920112 | \n",
+ "
\n",
+ " \n",
+ " | 13 | \n",
+ " 2024 | \n",
+ " East | \n",
+ " Partner | \n",
+ " 20942.35 | \n",
+ " 33.273699 | \n",
+ "
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+ 0,
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+ ],
+ "title": {
+ "text": "yoy_change"
+ }
+ }
+ }
+ },
+ "image/png": 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"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "yoy_df = df_sql(\"\"\"\n",
+ "SELECT\n",
+ " _outer.region,\n",
+ " aggregate(revenue) at (set year = 2024) as rev_2024,\n",
+ " aggregate(revenue) at (set year = 2023) as rev_2023,\n",
+ " aggregate(revenue) at (set year = 2024) - aggregate(revenue) at (set year = 2023) as yoy_change,\n",
+ " 100.0 * (aggregate(revenue) at (set year = 2024) - aggregate(revenue) at (set year = 2023))\n",
+ " / nullif(aggregate(revenue) at (set year = 2023), 0) as yoy_pct\n",
+ "from orders_v as _outer\n",
+ "order by yoy_change desc;\n",
+ "\"\"\")\n",
+ "yoy_df[\"yoy_pct_label\"] = yoy_df[\"yoy_pct\"].map(lambda v: f\"{float(v):.1f}%\")\n",
+ "display(yoy_df)\n",
+ "fig = px.bar(\n",
+ " yoy_df,\n",
+ " x=\"region\",\n",
+ " y=\"yoy_change\",\n",
+ " color=\"yoy_pct\",\n",
+ " text=\"yoy_pct_label\",\n",
+ " title=\"YoY Change by Region (2024 vs 2023)\"\n",
+ ")\n",
+ "fig.update_traces(textposition=\"outside\")\n",
+ "fig.show()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4e072da6",
+ "metadata": {},
+ "source": [
+ "## Drill-down: Online categories in 2024\n",
+ "\n",
+ "Uses a filtered view plus `AT (ALL category)` to compute share within the slice.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "b1915f28",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2025-12-29T07:58:58.691987Z",
+ "iopub.status.busy": "2025-12-29T07:58:58.691848Z",
+ "iopub.status.idle": "2025-12-29T07:58:58.697719Z",
+ "shell.execute_reply": "2025-12-29T07:58:58.697240Z"
+ }
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " category | \n",
+ " revenue | \n",
+ " pct_of_filtered | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " Services | \n",
+ " 33558.80 | \n",
+ " 40.585350 | \n",
+ "
\n",
+ " \n",
+ " | 1 | \n",
+ " Support | \n",
+ " 16655.75 | \n",
+ " 20.143135 | \n",
+ "
\n",
+ " \n",
+ " | 2 | \n",
+ " Software | \n",
+ " 12701.40 | \n",
+ " 15.360822 | \n",
+ "
\n",
+ " \n",
+ " | 3 | \n",
+ " Hardware | \n",
+ " 11902.45 | \n",
+ " 14.394588 | \n",
+ "
\n",
+ " \n",
+ " | 4 | \n",
+ " Accessories | \n",
+ " 7868.58 | \n",
+ " 9.516105 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " scope | \n",
+ " revenue | \n",
+ " online_revenue | \n",
+ " online_share | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " | 0 | \n",
+ " All | \n",
+ " 543530.97 | \n",
+ " 181175.64 | \n",
+ " 33.333085 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "