Classify campaigns by experiment adping IDs

index.html

@@ -41,7 +41,7 @@
     <div class="panel chart"><div class="title">Campaign 花费排名</div><div id="ranking"></div></div>
   </section>
   <section class="panel table-panel"><div class="table-head"><div class="title" style="margin:0">Detail</div><div class="table-note" id="count"></div></div><div class="table-wrap"><table><thead><tr><th>Date</th><th>组别</th><th>Campaign name</th><th class="num">Impression</th><th class="num">Click</th><th class="num">Conversions</th><th class="num">Spend</th><th class="num">CTR</th><th class="num">CVR</th><th class="num">CPA</th></tr></thead><tbody id="body"></tbody></table></div></section>
-  <div class="foot">数据源：Tableau · DSP Daily Data。组别、GEO、渠道、状态和 KPI 来自 Campaign info；订单状态以 G 列为准。对照组统一显示为 General campaign。比率均使用汇总后的分子与分母重新计算。</div>
+  <div class="foot">数据源：Tableau · DSP Daily Data。订单状态以 Campaign info 的 G 列为准。实验组通过 Campaign name 中的 adping ID 识别；同一 pkg、GEO、Platform 下，其余 Campaign 合并为对照组并显示为 General campaign。比率均使用汇总后的分子与分母重新计算。</div>
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