presupuestos_callcenter/notebooks/00_resultados_ejecutados.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2b3d1ae8",
   "metadata": {},
   "source": [
    "# 00 — Resultados ejecutados (vía Metabase, sin ADC)\n",
    "\n",
    "Resultados de la ejecución del script `run_via_metabase.py` (BigQuery `autingo-159109.psql_dcpublic`).\n",
    "\n",
    "Ventana: 90 días Q0, 60 días para detectar regeneración.\n",
    "Centros call_center excluidos del cómputo: 159 (CALL CENTER AURGI), 162 (CALL CENTER)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c39f6e2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'window_days': 90,\n",
       " 'A_quote_cc_eur': 6392965.08,\n",
       " 'B_mismo_cliente_eur': 6923203.81,\n",
       " 'C_total_centros_eur': 29635811.36,\n",
       " 'A_sobre_C': 0.2157,\n",
       " 'B_sobre_C': 0.2336,\n",
       " 'lift_B_vs_A': 1.08,\n",
       " 'centros_activos': 139}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import json\n",
    "from pathlib import Path\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "BASE = Path('../data/results').resolve()\n",
    "\n",
    "def load(name):\n",
    "    return pd.read_csv(BASE / f'{name}.csv')\n",
    "\n",
    "totales = json.loads((BASE / 'totales_globales.json').read_text())\n",
    "totales"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33adaf14",
   "metadata": {},
   "source": [
    "## Q1 — Tasa de conversión por origen del usuario que generó la quote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24471a70",
   "metadata": {},
   "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",
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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>origen</th>\n",
       "      <th>quotes</th>\n",
       "      <th>convertidos</th>\n",
       "      <th>conv_rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>call_center</td>\n",
       "      <td>62779</td>\n",
       "      <td>29576</td>\n",
       "      <td>0.4711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>otro</td>\n",
       "      <td>477095</td>\n",
       "      <td>273764</td>\n",
       "      <td>0.5738</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        origen  quotes  convertidos  conv_rate\n",
       "0  call_center   62779        29576     0.4711\n",
       "1         otro  477095       273764     0.5738"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load('01_conversion_origen')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5847ffda",
   "metadata": {},
   "source": [
    "**Lectura:** \n",
    "- Call center genera 62.8K quotes / 90d, convierte 47.1% (29.6K facturas con mismo `order_id`).\n",
    "- Otros usuarios generan 477K quotes / 90d, convierten 57.4% (273.8K facturas).\n",
    "- Brecha de ~10pp es esperable: el call_center genera quote en frío (cliente no presente), el TPV de centro genera quote casi siempre con el cliente ya en mostrador."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3484eeb6",
   "metadata": {},
   "source": [
    "## Q2 — 3 KPI por centro\n",
    "\n",
    "- **A** = € facturados desde quotes creados por call_center (mismo order_id).\n",
    "- **B** = € facturados a los mismos clientes (`customer_id` + `vehicle_id`) en centros físicos NO call_center.\n",
    "- **C** = € facturados totales del centro (todos los clientes).\n",
    "- `lift_B_vs_A`: 1.0 = solo factura el quote inicial; >1 = el centro factura más al cliente que sólo el quote."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f2bc0458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\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>center_id</th>\n",
       "      <th>center_name</th>\n",
       "      <th>quotes_cc_facturados</th>\n",
       "      <th>A_quote_cc_eur</th>\n",
       "      <th>B_mismo_cliente_eur</th>\n",
       "      <th>C_total_centro_eur</th>\n",
       "      <th>A_sobre_C</th>\n",
       "      <th>B_sobre_C</th>\n",
       "      <th>lift_B_vs_A</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>144</td>\n",
       "      <td>Velez Malaga</td>\n",
       "      <td>158</td>\n",
       "      <td>21890.28</td>\n",
       "      <td>37700.63</td>\n",
       "      <td>653333.86</td>\n",
       "      <td>0.0335</td>\n",
       "      <td>0.0577</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>75</td>\n",
       "      <td>Store</td>\n",
       "      <td>607</td>\n",
       "      <td>150402.50</td>\n",
       "      <td>167424.36</td>\n",
       "      <td>644637.94</td>\n",
       "      <td>0.2333</td>\n",
       "      <td>0.2597</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>54</td>\n",
       "      <td>Leganes</td>\n",
       "      <td>516</td>\n",
       "      <td>62620.06</td>\n",
       "      <td>87800.04</td>\n",
       "      <td>637007.16</td>\n",
       "      <td>0.0983</td>\n",
       "      <td>0.1378</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>121</td>\n",
       "      <td>Villalba</td>\n",
       "      <td>316</td>\n",
       "      <td>41725.46</td>\n",
       "      <td>57526.94</td>\n",
       "      <td>524985.02</td>\n",
       "      <td>0.0795</td>\n",
       "      <td>0.1096</td>\n",
       "      <td>1.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168</td>\n",
       "      <td>Goya GLASS</td>\n",
       "      <td>1773</td>\n",
       "      <td>414629.07</td>\n",
       "      <td>418220.06</td>\n",
       "      <td>497398.12</td>\n",
       "      <td>0.8336</td>\n",
       "      <td>0.8408</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>73</td>\n",
       "      <td>Malaga</td>\n",
       "      <td>379</td>\n",
       "      <td>64408.08</td>\n",
       "      <td>77124.76</td>\n",
       "      <td>489986.85</td>\n",
       "      <td>0.1314</td>\n",
       "      <td>0.1574</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>130</td>\n",
       "      <td>Alcorcon</td>\n",
       "      <td>210</td>\n",
       "      <td>29467.17</td>\n",
       "      <td>42686.28</td>\n",
       "      <td>487245.30</td>\n",
       "      <td>0.0605</td>\n",
       "      <td>0.0876</td>\n",
       "      <td>1.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>35</td>\n",
       "      <td>MT Sanchinarro</td>\n",
       "      <td>480</td>\n",
       "      <td>78658.96</td>\n",
       "      <td>87172.31</td>\n",
       "      <td>487013.50</td>\n",
       "      <td>0.1615</td>\n",
       "      <td>0.1790</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>82</td>\n",
       "      <td>Vallecas</td>\n",
       "      <td>307</td>\n",
       "      <td>40691.79</td>\n",
       "      <td>57401.47</td>\n",
       "      <td>460004.10</td>\n",
       "      <td>0.0885</td>\n",
       "      <td>0.1248</td>\n",
       "      <td>1.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>146</td>\n",
       "      <td>Vaguada</td>\n",
       "      <td>384</td>\n",
       "      <td>52572.11</td>\n",
       "      <td>66427.60</td>\n",
       "      <td>453792.26</td>\n",
       "      <td>0.1159</td>\n",
       "      <td>0.1464</td>\n",
       "      <td>1.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>74</td>\n",
       "      <td>La Red</td>\n",
       "      <td>149</td>\n",
       "      <td>20090.00</td>\n",
       "      <td>28795.52</td>\n",
       "      <td>453685.44</td>\n",
       "      <td>0.0443</td>\n",
       "      <td>0.0635</td>\n",
       "      <td>1.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>86</td>\n",
       "      <td>Almeria</td>\n",
       "      <td>206</td>\n",
       "      <td>27675.26</td>\n",
       "      <td>41355.76</td>\n",
       "      <td>447008.24</td>\n",
       "      <td>0.0619</td>\n",
       "      <td>0.0925</td>\n",
       "      <td>1.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>160</td>\n",
       "      <td>Aurgi Web</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>32.76</td>\n",
       "      <td>434152.84</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>76</td>\n",
       "      <td>Barbera</td>\n",
       "      <td>146</td>\n",
       "      <td>20540.91</td>\n",
       "      <td>32027.62</td>\n",
       "      <td>428700.38</td>\n",
       "      <td>0.0479</td>\n",
       "      <td>0.0747</td>\n",
       "      <td>1.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>55</td>\n",
       "      <td>MT Pozuelo</td>\n",
       "      <td>148</td>\n",
       "      <td>29616.45</td>\n",
       "      <td>41182.26</td>\n",
       "      <td>428580.00</td>\n",
       "      <td>0.0691</td>\n",
       "      <td>0.0961</td>\n",
       "      <td>1.39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    center_id     center_name  quotes_cc_facturados  A_quote_cc_eur  \\\n",
       "0         144    Velez Malaga                   158        21890.28   \n",
       "1          75           Store                   607       150402.50   \n",
       "2          54         Leganes                   516        62620.06   \n",
       "3         121        Villalba                   316        41725.46   \n",
       "4         168      Goya GLASS                  1773       414629.07   \n",
       "5          73          Malaga                   379        64408.08   \n",
       "6         130        Alcorcon                   210        29467.17   \n",
       "7          35  MT Sanchinarro                   480        78658.96   \n",
       "8          82        Vallecas                   307        40691.79   \n",
       "9         146         Vaguada                   384        52572.11   \n",
       "10         74          La Red                   149        20090.00   \n",
       "11         86         Almeria                   206        27675.26   \n",
       "12        160       Aurgi Web                     0            0.00   \n",
       "13         76         Barbera                   146        20540.91   \n",
       "14         55      MT Pozuelo                   148        29616.45   \n",
       "\n",
       "    B_mismo_cliente_eur  C_total_centro_eur  A_sobre_C  B_sobre_C  lift_B_vs_A  \n",
       "0              37700.63           653333.86     0.0335     0.0577         1.72  \n",
       "1             167424.36           644637.94     0.2333     0.2597         1.11  \n",
       "2              87800.04           637007.16     0.0983     0.1378         1.40  \n",
       "3              57526.94           524985.02     0.0795     0.1096         1.38  \n",
       "4             418220.06           497398.12     0.8336     0.8408         1.01  \n",
       "5              77124.76           489986.85     0.1314     0.1574         1.20  \n",
       "6              42686.28           487245.30     0.0605     0.0876         1.45  \n",
       "7              87172.31           487013.50     0.1615     0.1790         1.11  \n",
       "8              57401.47           460004.10     0.0885     0.1248         1.41  \n",
       "9              66427.60           453792.26     0.1159     0.1464         1.26  \n",
       "10             28795.52           453685.44     0.0443     0.0635         1.43  \n",
       "11             41355.76           447008.24     0.0619     0.0925         1.49  \n",
       "12                32.76           434152.84     0.0000     0.0001          NaN  \n",
       "13             32027.62           428700.38     0.0479     0.0747         1.56  \n",
       "14             41182.26           428580.00     0.0691     0.0961         1.39  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = load('02_kpi_3_por_centro')\n",
    "df.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "201ac95f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Top 15 centros por valor A (más facturado vía call_center)\n",
    "top = df.sort_values('A_quote_cc_eur', ascending=False).head(15).iloc[::-1]\n",
    "fig, ax = plt.subplots(figsize=(10, 7))\n",
    "y = range(len(top))\n",
    "ax.barh(y, top.A_quote_cc_eur, label='A (cc -> factura)')\n",
    "ax.barh(y, (top.B_mismo_cliente_eur - top.A_quote_cc_eur).clip(lower=0),\n",
    "        left=top.A_quote_cc_eur, label='B-A (mismo cliente extra)')\n",
    "ax.set_yticks(list(y)); ax.set_yticklabels(top.center_name)\n",
    "ax.set_xlabel('€ facturados (90d)')\n",
    "ax.legend(); ax.set_title('Top 15 centros — quotes call_center -> factura')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "291fa4af",
   "metadata": {},
   "outputs": [],
   "source": [
    "print('TOTALES 90d (excluye centros call_center 159/162):')\n",
    "for k, v in totales.items():\n",
    "    print(f'  {k:25} {v}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d161868",
   "metadata": {},
   "source": [
    "## Q3 — Centros que MÁS regeneran el presupuesto\n",
    "\n",
    "Definición operativa: para un par `(customer_id, vehicle_id)` cuyo primer presupuesto (Q0) lo abrió el call_center, hay un Q1+ posterior con **distinto `order_id`** abierto en un terminal del centro físico dentro de 60 días."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7831e9fe",
   "metadata": {},
   "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>center_id</th>\n",
       "      <th>center_name</th>\n",
       "      <th>q0_regenerados_aqui</th>\n",
       "      <th>regen_events</th>\n",
       "      <th>dias_avg_regen</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>146</td>\n",
       "      <td>Vaguada</td>\n",
       "      <td>594</td>\n",
       "      <td>1371</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54</td>\n",
       "      <td>Leganes</td>\n",
       "      <td>575</td>\n",
       "      <td>1246</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>75</td>\n",
       "      <td>Store</td>\n",
       "      <td>530</td>\n",
       "      <td>1167</td>\n",
       "      <td>8.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35</td>\n",
       "      <td>MT Sanchinarro</td>\n",
       "      <td>508</td>\n",
       "      <td>1273</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>168</td>\n",
       "      <td>Goya GLASS</td>\n",
       "      <td>461</td>\n",
       "      <td>519</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>82</td>\n",
       "      <td>Vallecas</td>\n",
       "      <td>427</td>\n",
       "      <td>895</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>81</td>\n",
       "      <td>Granada</td>\n",
       "      <td>419</td>\n",
       "      <td>782</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>55</td>\n",
       "      <td>MT Pozuelo</td>\n",
       "      <td>410</td>\n",
       "      <td>1097</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>73</td>\n",
       "      <td>Malaga</td>\n",
       "      <td>397</td>\n",
       "      <td>833</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>121</td>\n",
       "      <td>Villalba</td>\n",
       "      <td>396</td>\n",
       "      <td>927</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>68</td>\n",
       "      <td>MT Cornella</td>\n",
       "      <td>376</td>\n",
       "      <td>714</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>130</td>\n",
       "      <td>Alcorcon</td>\n",
       "      <td>349</td>\n",
       "      <td>744</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>74</td>\n",
       "      <td>La Red</td>\n",
       "      <td>346</td>\n",
       "      <td>852</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>86</td>\n",
       "      <td>Almeria</td>\n",
       "      <td>327</td>\n",
       "      <td>735</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>148</td>\n",
       "      <td>Cornella 2</td>\n",
       "      <td>327</td>\n",
       "      <td>495</td>\n",
       "      <td>18.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>131</td>\n",
       "      <td>San Juan</td>\n",
       "      <td>326</td>\n",
       "      <td>731</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>63</td>\n",
       "      <td>San Fernando</td>\n",
       "      <td>325</td>\n",
       "      <td>668</td>\n",
       "      <td>3.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>143</td>\n",
       "      <td>Majadahonda</td>\n",
       "      <td>324</td>\n",
       "      <td>722</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>70</td>\n",
       "      <td>San Sebastian</td>\n",
       "      <td>324</td>\n",
       "      <td>901</td>\n",
       "      <td>2.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>72</td>\n",
       "      <td>Las Rozas</td>\n",
       "      <td>320</td>\n",
       "      <td>678</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>127</td>\n",
       "      <td>Alcobendas</td>\n",
       "      <td>306</td>\n",
       "      <td>765</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>47</td>\n",
       "      <td>MT Campo de las Naciones</td>\n",
       "      <td>303</td>\n",
       "      <td>730</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>85</td>\n",
       "      <td>Gta. Cadiz</td>\n",
       "      <td>288</td>\n",
       "      <td>667</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>136</td>\n",
       "      <td>Emilio Muñoz</td>\n",
       "      <td>282</td>\n",
       "      <td>589</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>144</td>\n",
       "      <td>Velez Malaga</td>\n",
       "      <td>280</td>\n",
       "      <td>583</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>137</td>\n",
       "      <td>Avda. Toreros</td>\n",
       "      <td>277</td>\n",
       "      <td>571</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>76</td>\n",
       "      <td>Barbera</td>\n",
       "      <td>257</td>\n",
       "      <td>786</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>58</td>\n",
       "      <td>MT El Bercial</td>\n",
       "      <td>236</td>\n",
       "      <td>564</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>15</td>\n",
       "      <td>Islazul</td>\n",
       "      <td>234</td>\n",
       "      <td>506</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>187</td>\n",
       "      <td>Santa Engracia CRISTALES</td>\n",
       "      <td>230</td>\n",
       "      <td>269</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    center_id               center_name  q0_regenerados_aqui  regen_events  \\\n",
       "0         146                   Vaguada                  594          1371   \n",
       "1          54                   Leganes                  575          1246   \n",
       "2          75                     Store                  530          1167   \n",
       "3          35            MT Sanchinarro                  508          1273   \n",
       "4         168                Goya GLASS                  461           519   \n",
       "5          82                  Vallecas                  427           895   \n",
       "6          81                   Granada                  419           782   \n",
       "7          55                MT Pozuelo                  410          1097   \n",
       "8          73                    Malaga                  397           833   \n",
       "9         121                  Villalba                  396           927   \n",
       "10         68               MT Cornella                  376           714   \n",
       "11        130                  Alcorcon                  349           744   \n",
       "12         74                    La Red                  346           852   \n",
       "13         86                   Almeria                  327           735   \n",
       "14        148                Cornella 2                  327           495   \n",
       "15        131                  San Juan                  326           731   \n",
       "16         63              San Fernando                  325           668   \n",
       "17        143               Majadahonda                  324           722   \n",
       "18         70             San Sebastian                  324           901   \n",
       "19         72                 Las Rozas                  320           678   \n",
       "20        127                Alcobendas                  306           765   \n",
       "21         47  MT Campo de las Naciones                  303           730   \n",
       "22         85                Gta. Cadiz                  288           667   \n",
       "23        136              Emilio Muñoz                  282           589   \n",
       "24        144              Velez Malaga                  280           583   \n",
       "25        137             Avda. Toreros                  277           571   \n",
       "26         76                   Barbera                  257           786   \n",
       "27         58             MT El Bercial                  236           564   \n",
       "28         15                   Islazul                  234           506   \n",
       "29        187  Santa Engracia CRISTALES                  230           269   \n",
       "\n",
       "    dias_avg_regen  \n",
       "0              4.9  \n",
       "1              5.7  \n",
       "2              8.1  \n",
       "3              5.6  \n",
       "4              7.3  \n",
       "5              5.6  \n",
       "6              5.6  \n",
       "7              5.3  \n",
       "8              5.0  \n",
       "9              5.2  \n",
       "10            14.1  \n",
       "11             3.0  \n",
       "12             6.1  \n",
       "13             3.6  \n",
       "14            18.8  \n",
       "15             5.7  \n",
       "16             3.6  \n",
       "17             4.2  \n",
       "18             2.9  \n",
       "19             4.4  \n",
       "20             3.8  \n",
       "21             4.9  \n",
       "22             4.6  \n",
       "23             4.5  \n",
       "24             5.0  \n",
       "25             4.3  \n",
       "26             3.8  \n",
       "27             3.5  \n",
       "28             4.3  \n",
       "29             7.4  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regen = load('03_regen_por_centro')\n",
    "regen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "83758dc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_regen = regen.head(15).iloc[::-1]\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "y = range(len(top_regen))\n",
    "ax.barh(y, top_regen.q0_regenerados_aqui)\n",
    "ax.set_yticks(list(y)); ax.set_yticklabels(top_regen.center_name)\n",
    "ax.set_xlabel('# Q0 (de call_center) regenerados en este centro')\n",
    "ax.set_title('Top centros regeneradores de presupuesto call_center (90d Q0, 60d window)')\n",
    "plt.tight_layout(); plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0f6c55c",
   "metadata": {},
   "source": [
    "## Q4 — ¿Regenerar perjudica la conversión propia del Q0?\n",
    "\n",
    "Conversión del Q0 = el invoice se genera contra el MISMO order_id del Q0 (no contra el order_id regenerado en centro). Si regeneran, ese flujo cae."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "423b68cd",
   "metadata": {},
   "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>bucket</th>\n",
       "      <th>q0_total</th>\n",
       "      <th>q0_facturado_propio</th>\n",
       "      <th>conv_q0_propio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>no_regenerado</td>\n",
       "      <td>35507</td>\n",
       "      <td>22390</td>\n",
       "      <td>0.6306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>regenerado</td>\n",
       "      <td>18488</td>\n",
       "      <td>7158</td>\n",
       "      <td>0.3872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          bucket  q0_total  q0_facturado_propio  conv_q0_propio\n",
       "0  no_regenerado     35507                22390          0.6306\n",
       "1     regenerado     18488                 7158          0.3872"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "load('04_regen_vs_conversion')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4956e2d1",
   "metadata": {},
   "source": [
    "**Lectura:**\n",
    "- 35.5K Q0 sin regeneración convierten al **63.1%** (sobre el order_id original).\n",
    "- 18.5K Q0 con regeneración convierten al **38.7%** sobre el order_id original.\n",
    "- Los 'regenerados' no se 'pierden' necesariamente — el cliente puede haberse facturado vía un order_id distinto (el del centro). Esa parte está capturada en el KPI **B** del cuadro anterior.\n",
    "- Aprox **34.2% de los Q0 call_center** entran en patrón de regeneración (18488 / 53995)."
   ]
  }
 ],
 "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",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}