{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "44028d07-257f-4b8f-aa91-5fb5b92e07e1",
   "metadata": {},
   "source": [
    "### Purpose of this notebook is to try alternative approach regarding ad campaign analysis\n",
    "* Analysis is done using following package: \"CausalImpact r packageVersion(\"CausalImpact\"), Brodersen et al., Annals of Applied Statistics (2015). http://google.github.io/CausalImpact/\"\n",
    "* This analysis uses data from another previous analysis: https://github.com/theorchard/collab/blob/master/data_science/jupyter_notebooks/ad_campaign_analysis.ipynb\n",
    "* Main objective is to see if streams volume could have increased because of succesful marketing campaign or not."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b35f0ea-ec5e-4275-b0fd-82b80b04672d",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "237cda01-7cdd-427a-ba75-c5cbfff75d82",
   "metadata": {},
   "outputs": [],
   "source": [
    "# include utitilies\n",
    "%run 'utils/snowflake_utils.ipynb'\n",
    "\n",
    "# main imports\n",
    "import pandas as pd\n",
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import timedelta\n",
    "\n",
    "from causalimpact import CausalImpact\n",
    "\n",
    "# enable multiple outputs from single cell\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a09680ef-263e-40c1-ab66-c7bb8e0baa5b",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0b4e66dc-001e-4f10-ad49-53cd4645f8a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# connect to snowflake\n",
    "conn = snowflake_connector_factory()\n",
    "# set snowflake environment\n",
    "set_env(conn_cursor=conn, warehouse=\"dev_performance_warehouse\", database=\"dev_engineering\", schema=\"EVENTS_STREAMS\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d87d4db-006b-4ce9-a777-59ed13d657cd",
   "metadata": {},
   "source": [
    "For testing purpose we'll take one release"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "id": "ae534f48-e5c0-4169-b821-e2f1dd7910ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DOWNLOAD_ACTIVITY_DATE    datetime64[ns]\n",
       "UNITS                              int64\n",
       "RELEASEID                          int64\n",
       "ACTIVE_CAMPAIGNS                   int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "(312, 4)"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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>DOWNLOAD_ACTIVITY_DATE</th>\n",
       "      <th>UNITS</th>\n",
       "      <th>RELEASEID</th>\n",
       "      <th>ACTIVE_CAMPAIGNS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-06-24</td>\n",
       "      <td>18</td>\n",
       "      <td>190374852166</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-07-01</td>\n",
       "      <td>9</td>\n",
       "      <td>190374852166</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  DOWNLOAD_ACTIVITY_DATE  UNITS     RELEASEID  ACTIVE_CAMPAIGNS\n",
       "0             2016-06-24     18  190374852166                 0\n",
       "1             2016-07-01      9  190374852166                 0"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# query\n",
    "query = \"\"\"select download_activity_date, units, releaseid, active_campaigns from fact_analytics_join_campaign_data where\n",
    "            releaseid=190374852166\n",
    "            and download_activity_date<'2017-12-31' order by download_activity_date asc\"\"\"\n",
    "df = execute_snowlflake_sql(conn=conn, sql=query)\n",
    "df['DOWNLOAD_ACTIVITY_DATE'] = pd.to_datetime(df['DOWNLOAD_ACTIVITY_DATE']) # convert date string to timestamp\n",
    "df.dtypes\n",
    "df.shape\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e68739e-12b5-40dd-8456-3979af1e3944",
   "metadata": {},
   "source": [
    "###\n",
    "### Find period when campaign was active\n",
    "This is needed for  visualization and analysis to distinquish when marketing campaign was active"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "id": "0a3cf966-a86a-4dee-8d7d-0ff39245a63e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "min_period = df['DOWNLOAD_ACTIVITY_DATE'].min()\n",
    "campaign_start = df[df['ACTIVE_CAMPAIGNS']>=1]['DOWNLOAD_ACTIVITY_DATE'].min()\n",
    "campaign_end = df[df['ACTIVE_CAMPAIGNS']>=1]['DOWNLOAD_ACTIVITY_DATE'].max()\n",
    "\n",
    "pre_period = [pd.to_datetime(date) for date in [min_period,\n",
    "                        campaign_start - timedelta(days=1)]]\n",
    "post_period = [pd.to_datetime(date) for date in [campaign_start,\n",
    "                        campaign_end + timedelta(days=1)]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "515fbb3b-7e40-4c5a-8e1c-d9d16737e240",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index('DOWNLOAD_ACTIVITY_DATE').drop('ACTIVE_CAMPAIGNS', axis=1) # set index to datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "947f7924-2278-4965-86d3-6b22773341f6",
   "metadata": {},
   "source": [
    "###\n",
    "### Vizualise data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "id": "c8263956-b4c8-454f-a648-9062059ec880",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Marketing campaign was active between 2016-08-18 00:00:00 and 2016-12-26 00:00:00.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax= df['UNITS'].plot(figsize=(15,6), color=\"orange\")\n",
    "x = ax.axvline(campaign_start, color=\"green\", linestyle=\"--\")\n",
    "x = ax.axvline(campaign_end, color=\"green\", linestyle=\"--\")\n",
    "\n",
    "print(f\"Marketing campaign was active between {campaign_start} and {campaign_end}.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "967190de-3f5e-4786-b733-3ec4ef18a85e",
   "metadata": {},
   "source": [
    "### Run causal Impact analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "id": "0a078013-7eb6-4122-bfd5-5cfbf1193332",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUNNING THE L-BFGS-B CODE\n",
      "\n",
      "           * * *\n",
      "\n",
      "Machine precision = 2.220D-16\n",
      " N =            3     M =           10\n",
      "\n",
      "At X0         0 variables are exactly at the bounds\n",
      "\n",
      "At iterate    0    f=  1.45735D+00    |proj g|=  1.94830D-01\n",
      "\n",
      "At iterate    5    f=  1.44384D+00    |proj g|=  2.40694D-04\n",
      "\n",
      "           * * *\n",
      "\n",
      "Tit   = total number of iterations\n",
      "Tnf   = total number of function evaluations\n",
      "Tnint = total number of segments explored during Cauchy searches\n",
      "Skip  = number of BFGS updates skipped\n",
      "Nact  = number of active bounds at final generalized Cauchy point\n",
      "Projg = norm of the final projected gradient\n",
      "F     = final function value\n",
      "\n",
      "           * * *\n",
      "\n",
      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
      "    3      6      8      1     0     0   4.311D-06   1.444D+00\n",
      "  F =   1.4438373586127842     \n",
      "\n",
      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " This problem is unconstrained.\n"
     ]
    }
   ],
   "source": [
    "impact = CausalImpact(df, pre_period, post_period)\n",
    "impact.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f134eed1-14ac-457d-80af-377b5c500706",
   "metadata": {},
   "source": [
    "#### First plot\n",
    "Red dashed line(with CI) show what stream numbers should have been based on pre-campaign numbers.\n",
    "<br>Black solid line shows actual numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "b086537b-2aab-469a-af3c-8e355e358e68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "impact.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f477c31-5200-412b-8419-96f2aaf9c7ce",
   "metadata": {},
   "source": [
    "#### Summary statistics\n",
    "* From summary we see that predicted streams should have been around 22(Confidence Interval between -5 and 50).\n",
    "And actual streams were around 50.<br>\n",
    "* Visually we could see from previous plots that at the start of campaign streams increased considerably but because confidence interval\n",
    "contains 0 and p-value is more than 5% then from statistical point of view there are doubts regarding campaign success.<br>\n",
    "* Also, because quite old(>7 years) data was used then we might not know all the background related to that release\n",
    "and marketing campaign.<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "id": "2859bec7-5adb-44cb-a414-e837ece859cf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               Average      Cumulative\n",
      "Actual                              50            4509\n",
      "Predicted                           22            2012\n",
      "95% CI                        [-5, 50]    [-474, 4500]\n",
      "                                                      \n",
      "Absolute Effect                     27            2496\n",
      "95% CI                         [55, 0]       [4983, 8]\n",
      "                                                      \n",
      "Relative Effect                 124.0%          124.0%\n",
      "95% CI                  [247.6%, 0.4%]  [247.6%, 0.4%]\n",
      "                                                      \n",
      "P-value                           5.6%                \n",
      "Prob. of Causal Effect           94.4%                \n"
     ]
    }
   ],
   "source": [
    "impact.summary()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:python38TF]",
   "language": "python",
   "name": "conda-env-python38TF-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
