2026-02-01_churn/complexity.ipynb

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    "# Setup and initialization\n",
    "import json\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import numpy as np\n",
    "from io import StringIO\n",
    "from datetime import datetime\n",
    "\n",
    "# Load CSV file into a raw dataframe\n",
    "df = pd.read_csv('churn.csv')\n",
    "\n",
    "# Pull some quick stats\n",
    "category_totals = df.groupby('category').size()\n",
    "\n",
    "user_category_labels = {\n",
    "    'quick-exit': 'Free trial churn',\n",
    "    'fair-trial': 'D74 churn',\n",
    "    'short-termer': '6 month churn',\n",
    "    'long-termer': '> 6 months active'\n",
    "}\n",
    "metric_timeframe_labels = {\n",
    "    'short term': 'During free trial',\n",
    "    'medium term': 'After trial, before 90 days',\n",
    "    'long term': 'After 90 days, first 6 months'\n",
    "}\n",
    "\n",
    "category_order = {\n",
    "    'category': list(user_category_labels.keys())\n",
    "}\n",
    "\n",
    "def metric_label(metric_key):\n",
    "    parts = metric_key.split('_')\n",
    "    if \"term\" in parts:\n",
    "        timeframe = metric_timeframe_labels[\" \".join(parts[-2:])]\n",
    "        name = \" \".join(parts[0:-2]).title()\n",
    "    else:\n",
    "        timeframe = 'Lifetime'\n",
    "        name = parts.join(\" \").title()\n",
    "    return f\"{name}: {timeframe}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3e1b4524-f47d-410c-ac49-d1cc6a745ee6",
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   "source": [
    "def dffromstring(s):\n",
    "    return pd.read_csv(StringIO(s))\n",
    "df_db_medium = dffromstring(\"\"\"category,total,both_multiple,one_multiple,both_single,one_single,none\n",
    "01: Free trial churn,1363,0,5,1,24,75\n",
    "02: D74 churn,1028,0,12,6,32,67\n",
    "03: 6-month churn,1779,0,10,5,27,72\n",
    "04: > 6 months active,269,1,11,4,28,71\n",
    "\"\"\")\n",
    "df_db_medium_bookings = dffromstring(\"\"\"category,total,both_multiple_no_call,both_multiple_with_call,one_multiple_no_call,one_multiple_with_call,both_no_call,both_with_call,one_no_call,one_with_call,none_no_call,none_with_call\n",
    "01: Free trial churn,1363,0,0,4,3,1,0,23,22,65,9\n",
    "02: D74 churn,1028,0,0,10,8,3,2,31,29,57,9\n",
    "03: 6-month churn,1779,0,0,8,7,3,2,26,23,66,6\n",
    "04: > 6 months active,269,0,0,9,6,2,2,27,25,66,5\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62640aef-00d2-43b1-af1a-a28db7343321",
   "metadata": {},
   "source": [
    "## % of users who created booking forms and/or checklists before 90 days\n",
    "We group users created after 2023-01-01 by when they churned, then look at what they created in their first 90 days. While the difference isn't huge, usage is noticeably higher in the d74 churn group"
   ]
  },
  {
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   "execution_count": 3,
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category</th>\n",
       "      <th>Multiple of both</th>\n",
       "      <th>Multiple of at least one</th>\n",
       "      <th>One of both</th>\n",
       "      <th>One of at least one</th>\n",
       "      <th>Neither</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01: Free trial churn</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02: D74 churn</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>32</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03: 6-month churn</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>27</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04: &gt; 6 months active</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>28</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "                category  Multiple of both  Multiple of at least one  \\\n",
       "0   01: Free trial churn                 0                         5   \n",
       "1          02: D74 churn                 0                        12   \n",
       "2      03: 6-month churn                 0                        10   \n",
       "3  04: > 6 months active                 1                        11   \n",
       "\n",
       "   One of both  One of at least one  Neither  \n",
       "0            1                   24       75  \n",
       "1            6                   32       67  \n",
       "2            5                   27       72  \n",
       "3            4                   28       71  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "summary_df = df_db_medium[['category']].copy()\n",
    "summary_df['Multiple of both'] = df_db_medium['both_multiple']\n",
    "summary_df['Multiple of at least one'] = df_db_medium['one_multiple']\n",
    "summary_df['One of both'] = df_db_medium['both_single']\n",
    "summary_df['One of at least one'] = df_db_medium['one_single']\n",
    "summary_df['Neither'] = df_db_medium['none']\n",
    "summary_df"
   ]
  },
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   "execution_count": 7,
   "id": "06c7fabf-99dd-4f15-83c2-0f92b3e0be68",
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   "source": [
    "# Weekly data processing\n",
    "max_weeks = 12\n",
    "\n",
    "def weekly_averages(metric, created_after=None):\n",
    "    records = []\n",
    "    metric_col = f\"{metric}_weekly_counts\"\n",
    "    \n",
    "    for category in df['category'].unique():\n",
    "        cat_df = df[df['category'] == category].copy()\n",
    "\n",
    "        if created_after is not None:\n",
    "            cat_df['created_at'] = pd.to_datetime(cat_df['created_at'])\n",
    "            cat_df = cat_df[cat_df['created_at'] >= pd.to_datetime(created_after)]\n",
    "        \n",
    "        num_users = len(cat_df)\n",
    "        \n",
    "        cat_df = cat_df.copy()\n",
    "        cat_df['end_week'] = (cat_df['lifespan'] / 7).apply(np.floor).astype(int)\n",
    "        \n",
    "        cumulative_per_week = [0.0] * max_weeks\n",
    "        \n",
    "        for idx, row in cat_df.iterrows():\n",
    "            end_week = row['end_week']\n",
    "            \n",
    "            # Parse this user's weekly counts\n",
    "            user_weekly = [0] * max_weeks\n",
    "            value = row[metric_col]\n",
    "            if pd.notna(value) and value != '{}':\n",
    "                try:\n",
    "                    counts_dict = json.loads(value)\n",
    "                    for key, count in counts_dict.items():\n",
    "                        week_num = int(key.replace('week_', ''))\n",
    "                        if week_num < max_weeks:\n",
    "                            user_weekly[week_num] = count\n",
    "                except (json.JSONDecodeError, ValueError):\n",
    "                    pass\n",
    "            \n",
    "            # Calculate this user's cumulative usage\n",
    "            user_cumulative = np.cumsum(user_weekly)\n",
    "            \n",
    "            # Extend their final value to the end of the range\n",
    "            last_value = user_cumulative[min(end_week, max_weeks - 1)]\n",
    "            for week in range(max_weeks):\n",
    "                if week <= end_week:\n",
    "                    cumulative_per_week[week] += user_cumulative[week]\n",
    "                else:\n",
    "                    cumulative_per_week[week] += last_value\n",
    "        \n",
    "        # Calculate averages over all users\n",
    "        for week in range(max_weeks):\n",
    "            records.append({\n",
    "                'category': user_category_labels[category],\n",
    "                'week': week,\n",
    "                'cumulative_avg': cumulative_per_week[week] / num_users if num_users > 0 else 0\n",
    "            })\n",
    "    \n",
    "    return records\n",
    "\n",
    "# Weekly averages line chart renderer\n",
    "def weekly_averages_chart(metric_name, title, created_after=None):\n",
    "    chart_data = pd.DataFrame(weekly_averages(metric_name, created_after))\n",
    "    \n",
    "    # Plot\n",
    "    line_chart = px.line(\n",
    "        chart_data,\n",
    "        x='week',\n",
    "        y='cumulative_avg',\n",
    "        color='category',\n",
    "        title=title,\n",
    "        category_orders=category_order,\n",
    "        labels={'week': 'Week', 'cumulative_avg': 'Average Created', 'category': 'User Group'},\n",
    "        markers=True\n",
    "    )\n",
    "    line_chart.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fe8b6d9-c755-4689-966d-8d1709170172",
   "metadata": {},
   "source": [
    "## Avg. number of booking forms created by week\n",
    "Here we see where booking forms are created over time. The churn groups create more earlier, while the active group ramps up to usage more slowly."
   ]
  },
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekly_averages_chart('booking_forms', '')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bebb5757-fd87-477d-b542-17732990b907",
   "metadata": {},
   "source": [
    "## Avg. number of checklists created by week\n",
    "The same story is repeated for checklists, with the active group not moving as fast as the churners."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b3d0e404-7c62-4330-b106-fb6bf32a89de",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "hovertemplate": "User Group=D74 churn<br>Week=%{x}<br>Average Created=%{y}<extra></extra>",
         "legendgroup": "D74 churn",
         "line": {
          "color": "#FFA15A",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines+markers",
         "name": "D74 churn",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": {
          "bdata": "AAECAwQFBgcICQoL",
          "dtype": "i1"
         },
         "xaxis": "x",
         "y": {
          "bdata": "Jlg7Jw5B9j8B24JHIBIBQC/lM5nxdQNAQpHRrHiWBkAAtynon6QHQA1mMwdFRgtAnu4JaHu5C0CxvyQ04scNQMdpepWq5w1APLm6cHYFDkCmM1AbXhMOQPS9JVg7Jw5A",
          "dtype": "f8"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "User Group=Free trial churn<br>Week=%{x}<br>Average Created=%{y}<extra></extra>",
         "legendgroup": "Free trial churn",
         "line": {
          "color": "#19d3f3",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines+markers",
         "name": "Free trial churn",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": {
          "bdata": "AAECAwQFBgcICQoL",
          "dtype": "i1"
         },
         "xaxis": "x",
         "y": {
          "bdata": "PKDRDPJS7D8YQLqeLSHwPxhAup4tIfA/GEC6ni0h8D8YQLqeLSHwPxhAup4tIfA/GEC6ni0h8D8YQLqeLSHwPxhAup4tIfA/GEC6ni0h8D8YQLqeLSHwPxhAup4tIfA/",
          "dtype": "f8"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "User Group=6 month churn<br>Week=%{x}<br>Average Created=%{y}<extra></extra>",
         "legendgroup": "6 month churn",
         "line": {
          "color": "#FF6692",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines+markers",
         "name": "6 month churn",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": {
          "bdata": "AAECAwQFBgcICQoL",
          "dtype": "i1"
         },
         "xaxis": "x",
         "y": {
          "bdata": "eTj4ld/w+D+CPBz8ym8AQLFS4q3ZqQVAyTtxzteGCECYJCJDDm0LQFJZ1B7K1QxAtcsapm+JDkBVweJ6W9UPQB+5q9gg3BBAxtNickaHEUAAzYEr8l8SQGbJKkcy0xJA",
          "dtype": "f8"
         },
         "yaxis": "y"
        },
        {
         "hovertemplate": "User Group=> 6 months active<br>Week=%{x}<br>Average Created=%{y}<extra></extra>",
         "legendgroup": "> 6 months active",
         "line": {
          "color": "#B6E880",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
         },
         "mode": "lines+markers",
         "name": "> 6 months active",
         "orientation": "v",
         "showlegend": true,
         "type": "scatter",
         "x": {
          "bdata": "AAECAwQFBgcICQoL",
          "dtype": "i1"
         },
         "xaxis": "x",
         "y": {
          "bdata": "bbLJJpts8D+yySabbLLxP3TRRRdddP0/ZZNNNtlkD0CyySabbLIQQLrooosuOhJAAAAAAAAAE0B88MEHH3wUQD744IMPvhVAAAAAAACAG0B88MEHH/wcQCebbLLJ5iNA",
          "dtype": "f8"
         },
         "yaxis": "y"
        }
       ],
       "layout": {
        "legend": {
         "title": {
          "text": "User Group"
         },
         "tracegroupgap": 0
        },
        "margin": {
         "t": 60
        },
        "template": {
         "data": {
          "bar": [
           {
            "error_x": {
             "color": "#2a3f5f"
            },
            "error_y": {
             "color": "#2a3f5f"
            },
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "bar"
           }
          ],
          "barpolar": [
           {
            "marker": {
             "line": {
              "color": "#E5ECF6",
              "width": 0.5
             },
             "pattern": {
              "fillmode": "overlay",
              "size": 10,
              "solidity": 0.2
             }
            },
            "type": "barpolar"
           }
          ],
          "carpet": [
           {
            "aaxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "baxis": {
             "endlinecolor": "#2a3f5f",
             "gridcolor": "white",
             "linecolor": "white",
             "minorgridcolor": "white",
             "startlinecolor": "#2a3f5f"
            },
            "type": "carpet"
           }
          ],
          "choropleth": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "type": "choropleth"
           }
          ],
          "contour": [
           {
            "colorbar": {
             "outlinewidth": 0,
             "ticks": ""
            },
            "colorscale": [
             [
              0,
              "#0d0887"
             ],
             [
              0.1111111111111111,
              "#46039f"
             ],
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekly_averages_chart('checklists', '', created_after='2025-01-01')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f58ae8c5-e046-4a0f-8e96-9b9f75a1e377",
   "metadata": {},
   "source": [
    "## % of users creating bookings or checklists by scheduled onboarding calls\n",
    "At a glance, for these metrics, it doesn't look like having an onboarding call impacts usage. Note that this goes by the presence of a \"booked_demo_call_at\" field in the database - we don't have a way to tell if the call actually took place."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "61b302b5-da6c-4305-b70e-7965f7fee0e2",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>category</th>\n",
       "      <th>Created both with no call</th>\n",
       "      <th>Created both with a call</th>\n",
       "      <th>Created one with no call</th>\n",
       "      <th>Created one with a call</th>\n",
       "      <th>None with no call</th>\n",
       "      <th>None with a call</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01: Free trial churn</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>65</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02: D74 churn</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>57</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03: 6-month churn</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>26</td>\n",
       "      <td>23</td>\n",
       "      <td>66</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04: &gt; 6 months active</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>27</td>\n",
       "      <td>25</td>\n",
       "      <td>66</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                category  Created both with no call  Created both with a call  \\\n",
       "0   01: Free trial churn                          1                         0   \n",
       "1          02: D74 churn                          3                         2   \n",
       "2      03: 6-month churn                          3                         2   \n",
       "3  04: > 6 months active                          2                         2   \n",
       "\n",
       "   Created one with no call  Created one with a call  None with no call  \\\n",
       "0                        23                       22                 65   \n",
       "1                        31                       29                 57   \n",
       "2                        26                       23                 66   \n",
       "3                        27                       25                 66   \n",
       "\n",
       "   None with a call  \n",
       "0                 9  \n",
       "1                 9  \n",
       "2                 6  \n",
       "3                 5  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary_df = df_db_medium_bookings[['category']].copy()\n",
    "summary_df['Created both with no call'] = df_db_medium_bookings['both_no_call']\n",
    "summary_df['Created both with a call'] = df_db_medium_bookings['both_with_call']\n",
    "summary_df['Created one with no call'] = df_db_medium_bookings['one_no_call']\n",
    "summary_df['Created one with a call'] = df_db_medium_bookings['one_with_call']\n",
    "summary_df['None with no call'] = df_db_medium_bookings['none_no_call']\n",
    "summary_df['None with a call'] = df_db_medium_bookings['none_with_call']\n",
    "summary_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "232e89d8-286b-46ea-8a68-e5afea0e0e33",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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