<template>
  <div class="content">
    <div class="import" @click="dialogVisible = true">
      <img src="@/assets/images/导入.png" alt="" />
      <span>任务知识导入</span>
    </div>
    <!-- <div v-if="knowledgeFlag">
      <a
        href="
https://www.zhihu.com/question/620095154/answer/3351195697"
        target="_blank"
        rel="noopener noreferrer"
      >
        https://www.zhihu.com/question/620095154/answer/3351195697</a
      ><br />

      <a
        href="
https://www.sohu.com/a/528399751_218639"
        target="_blank"
        rel="noopener noreferrer"
      >
        https://www.sohu.com/a/528399751_218639</a
      ><br />

      <a
        href="
https://help.fanruan.com/finebi5.1/doc-view-1256.html"
        target="_blank"
        rel="noopener noreferrer"
      >
        https://help.fanruan.com/finebi5.1/doc-view-1256.html</a
      >
      <br />
    </div> -->
    <div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/caseIcon.png" alt="" />
          <span>案例背景：</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          某买菜app想通过 AARRR模型分析自己的增长优势和弱势，获取更大的市场。
          <br />

          AARRR模型的实质是一个用户生命周期模型，关注用户获取(Acquisition)
          、激活(Activation)、留存(Retention) 、收入(Revenue) 和自传播(Refer)
          这五个方面，描述了用户从了解一个产品或服务到成为忠实用户的整个过程，对应于产品生命周期中的五个阶段。
        </span>
      </div>
      <div class="line"></div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/步骤.png" alt="" />
          <span>第一步，获客分析</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          任何产品的运营，第一步都是获取新用户，新用户一般来源于不同的渠道，因此我们首先需要做的就是渠道分析。做了渠道分析，我们才能知道，哪个渠道效果好，花费少，以后可以在性价比高的渠道投放。通常情况下渠道分析有两个维度：获客数量和获客质量
        </span>
        <div style="margin-top: 10px; display: flex">
          <div>
            <div
              class="draw"
              style="padding-left: 25px; margin-left: 20px"
              @click="drawEcharts"
            >
              生成可视化展现
            </div>
            <div id="echarts1" style="width: 500px; height: 320px"></div>
          </div>
          <div class="step1Table">
            <div class="titleTable">推广渠道对比（平均一次浏览时间）</div>
            <el-table
              :data="step1Data"
              style="width: 500px; margin-left: 45px; margin-top: 15px"
              border
              :header-cell-style="{
                color: '#fff',
                fontSize: '14px',
                backgroundColor: '#6A7DE9!important',
              }"
            >
              <el-table-column label="推广渠道" align="center" prop="data1">
              </el-table-column>
              <el-table-column label="浏览时间" align="center" prop="data2">
              </el-table-column>
            </el-table>
          </div>
          <div style="margin-top: 40px">
            <div class="analysisBtn">图表分析</div>
            <div style="margin-left: 20px">
              <p>1、推广渠道中，获客数量最多的是：</p>
              <el-select
                v-model="step1Params1"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'基础线上工作'" :value="'基础线上工作'" />
                <el-option :label="'手机厂商预装'" :value="'手机厂商预装'" />
                <el-option :label="'新媒体推广'" :value="'新媒体推广'" />
                <el-option :label="'线下活动推广'" :value="'线下活动推广'" />
              </el-select>
            </div>
            <div style="margin-left: 20px">
              <p>2、哪种渠道的获客质量最高：</p>
              <el-select
                v-model="step1Params2"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'基础线上工作'" :value="'基础线上工作'" />
                <el-option :label="'手机厂商预装'" :value="'手机厂商预装'" />
                <el-option :label="'新媒体推广'" :value="'新媒体推广'" />
                <el-option :label="'线下活动推广'" :value="'线下活动推广'" />
              </el-select>
            </div>
            <div class="submit" style="margin-top: 75px" @click="step1Submit">
              提交
            </div>
          </div>
        </div>
      </div>
      <div class="line"></div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/步骤.png" alt="" />
          <span>第二步，激活分析</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          有了用户之后就需要提高活跃度，用户光注册没啥用，需要经常登录、使用app才行。据有效数据表明，当新用户进入产品之后的次日活跃开始计算，80%以上的新用户都不会被再次激活。而对于买菜app来说，只有产生过订单的用户才能算作被激活。<br />
          对各月份的用户新增情况进行分析，折线图如下图：
        </span>
        <div style="margin-top: 10px; display: flex">
          <div>
            <div
              @click="drawLineEchart"
              class="draw"
              style="
                padding-left: 25px;
                margin-bottom: 10px;
                background-size: 180px 31px;
                width: 180px;
                padding-left: 32px;
              "
            >
              生成月度激活率图表
            </div>
            <div id="echartsLine" style="width: 1000px; height: 274px"></div>
          </div>
          <div style="margin-top: 40px">
            <div class="analysisBtn">图表分析</div>
            <div style="margin-left: 20px">
              <p>1、月度平均激活率是多少：</p>
              <el-select
                v-model="step2Params1"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'50%'" :value="'50%'" />
                <el-option :label="'60%'" :value="'60%'" />
                <el-option :label="'70%'" :value="'70%'" />
                <el-option :label="'80%'" :value="'80%'" />
                <el-option :label="'90%'" :value="'90%'" />
              </el-select>
            </div>
            <div style="margin-left: 20px">
              <p>2、需要重点分析哪个月的激活率：</p>
              <el-select
                v-model="step2Params2"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option
                  :label="item.label"
                  :value="item.value"
                  v-for="item in activationList"
                  :key="item.value"
                />
              </el-select>
            </div>
            <div class="submit" style="margin-top: 75px" @click="step2Submit">
              提交
            </div>
          </div>
        </div>
      </div>
      <div class="line"></div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/步骤.png" alt="" />
          <span>第三步，留存分析</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          用户激活之后，不留存的话最终也都将流失，徒劳一场。对于买菜app来说，用户激活之后，如果不能留下来的话，那此前的工作基本都是无用的。我们可以分析一周留存率、双周留存率和月留存率，发现用户留存率仍有较大提升空间，可以分析流失原因，进一步提高产品体验，挽留已有客户。
        </span>
        <div style="margin-top: 10px; display: flex">
          <div>
            <div class="draw" style="padding-left: 25px; margin-bottom: 10px">
              生成留存率图表
            </div>

            <el-table
              :data="step3Data"
              style="width: 1000px"
              border
              :header-cell-style="{
                color: '#fff',
                fontSize: '14px',
                backgroundColor: '#6A7DE9!important',
              }"
            >
              <el-table-column label="注册日期" align="center" prop="date">
              </el-table-column>
              <el-table-column
                label="一周留存率（%）"
                align="center"
                prop="ratio1"
              >
              </el-table-column>
              <el-table-column
                label="两周留存率（%）"
                align="center"
                prop="ratio2"
              >
              </el-table-column>
              <el-table-column
                label="30天留存率（%）"
                align="center"
                prop="ratio3"
              >
              </el-table-column>
            </el-table>
          </div>
          <div style="margin-top: 40px">
            <div class="analysisBtn">图表分析</div>
            <div style="margin-left: 20px">
              <p>1、两周平均留存率是多少：</p>
              <el-select
                v-model="step3Params1"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'37.63%'" :value="'37.63%'" />
                <el-option :label="'13.25%'" :value="'13.25%'" />
                <el-option :label="'14.11%'" :value="'14.11%'" />
              </el-select>
            </div>
            <div style="margin-left: 20px">
              <p>2、从哪个时间段开始留存下来的客户，是公司的忠诚用户：</p>
              <el-select
                v-model="step3Params2"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'一周'" :value="'一周'" />
                <el-option :label="'两周'" :value="'两周'" />
                <el-option :label="'30天'" :value="'30天'" />
              </el-select>
            </div>
            <div class="submit" style="margin-top: 75px" @click="step3Submit">
              提交
            </div>
          </div>
        </div>
      </div>
      <div class="line"></div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/步骤.png" alt="" />
          <span>第四步，收入分析</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          获取收入，对产品来说是最重要的一点，当用户激活后，需要考虑的就是如何最大化获取收入，实现盈利。买菜软件的盈利与很多指标有关，我们暂且以提高用户的购买活跃度作为提高收入的的一个主要方式。我们将用户分为三个大类：低活跃用户，普通用户，会员用户。
        </span>
        <div style="margin-top: 10px; display: flex">
          <div>
            <el-table
              :data="step4Data"
              style="width: 500px"
              border
              :header-cell-style="{
                color: '#fff',
                fontSize: '14px',
                backgroundColor: '#6A7DE9!important',
              }"
            >
              <el-table-column label="用户类型" align="center" prop="data1">
              </el-table-column>
              <el-table-column label="划分标准" align="center" prop="data2">
              </el-table-column>
              <el-table-column label="用户数量" align="center" prop="data3">
              </el-table-column>
            </el-table>
          </div>
          <div>
            <div class="analysisBtn">图表分析</div>
            <div style="margin-left: 20px">
              <div style="margin-top: 10px">
                1、各类用户占比：（计算结果保留一位小数）
              </div>
              <div style="display: flex">
                <div style="margin-right: 50px">
                  <p>低活跃用户：</p>
                  <el-input
                    style="width: 107px"
                    v-model="step4Params1"
                  ></el-input>
                </div>
                <div style="margin-right: 50px">
                  <p>普通用户：</p>
                  <el-input
                    style="width: 107px"
                    v-model="step4Params2"
                  ></el-input>
                </div>
                <div>
                  <p>会员用户：</p>
                  <el-input
                    style="width: 107px"
                    v-model="step4Params3"
                  ></el-input>
                </div>
              </div>
            </div>
            <div style="margin-left: 20px">
              <p>2、需要针对哪类用户制定营销手段来提高他们的活跃度：</p>
              <el-select
                v-model="step4Params4"
                placeholder="请选择"
                style="width: 200px"
              >
                <el-option :label="'低活跃用户'" :value="'低活跃用户'" />
                <el-option :label="'普通用户'" :value="'普通用户'" />
                <el-option :label="'会员用户'" :value="'会员用户'" />
              </el-select>
            </div>
            <div class="submit" style="margin-top: 25px" @click="step4Submit">
              提交
            </div>
          </div>
        </div>
      </div>
      <div class="line"></div>
      <div class="caseBack">
        <div class="title">
          <img src="@/assets/images/步骤.png" alt="" />
          <span>第五步，自传播分析</span>
        </div>
        <span style="line-height: 25px; font-size: 14px">
          当产品有了一定规模的用户之后，就需要考虑激发用户间的自发传播。自传播的数据指标是K因子（推荐系数）：<br />
          K = （平均每个用户向他的朋友们发出的邀请的数量）*
          （接收到邀请的人转化为新用户的转化率）<br />
          K值的高低，直接体现自传播结果水平，当K值大于1时，将激发自传播巨大的力量，K值越大，力量越强。而若K值小于1，那么传播水平会逐步减弱，直至消失。
        </span>
        <div style="margin-top: 10px; display: flex">
          <div>
            <el-table
              :data="step5Data"
              style="width: 500px"
              border
              :header-cell-style="{
                color: '#fff',
                fontSize: '14px',
                backgroundColor: '#6A7DE9!important',
              }"
            >
              <el-table-column label="用户数量" align="center" prop="data1">
              </el-table-column>
              <el-table-column label="推荐次数" align="center" prop="data2">
              </el-table-column>
              <el-table-column label="接受推荐人数" align="center" prop="data3">
              </el-table-column>
              <el-table-column label="K值" align="center" prop="data4">
              </el-table-column>
            </el-table>
          </div>
          <div>
            <div class="analysisBtn">图表分析</div>
            <div style="margin-left: 20px">
              <div style="display: flex">
                <div style="margin-right: 50px">
                  <p>该买菜app的K值为：（计算结果保留两位小数）</p>
                  <el-input
                    style="width: 107px"
                    v-model="step5Params"
                  ></el-input>
                </div>
              </div>
            </div>
            <div style="margin-left: 20px" class="conclusion">
              结论：拥有了自传播的力量。可以进一步通过“邀请获红包”等运营活动进一步提高
              K 值，加快传播速度
            </div>
            <div class="submit" style="margin-top: 15px" @click="step5Submit">
              提交
            </div>
          </div>
        </div>
      </div>
    </div>
    <pop-modal :showModel="dialogVisible" @closePop="dialogVisible = false">
      <template v-slot:content>
        <div v-html="knowledgeHtml">
          
        </div>
      </template>
    </pop-modal>
  </div>
</template>

<script setup>
import popModal from "@/views/components/popModal.vue";
import { getUserInfo } from "@/utils/auth";
import * as portraitModel from "@/api/portraitModel";
import { downBlobFile } from "@/utils/index.js";
import * as echarts from "echarts";
const { proxy } = getCurrentInstance();
const knowledgeHtml = ref(
  `<p style="text-align: start;">从事市场营销工作必须建立相关的理论知识体系，才能从更好地理解市场环境、消费者行为和竞争态势等复杂因素，制定出更有效的营销策略和指导具体的营销实践工作，取得更佳的营销效果。</p><p style="text-align: start;">营销理论模型使用特定的框架或图形来表述相关理论，其结构化、可视化的特点让我们能够更好地理解和掌握理论，为理解和分析复杂的问题、预测市场趋势或消费者行为等提供了高效的思考路径，更让同业交流时能够基于模型使用相同的语言和框架来描述和解决问题，从而提高协作效率和减少理解偏差，这些都有助于提升营销工作的效率和帮助营销人实现持续成长。</p><p style="text-align: start;">因此，掌握营销理论模型对于营销专业人员来说非常重要。</p><p style="text-align: start;">市场营销学科发展至今已经总结提炼了大量的理论模型，并在营销实践中被持续精进完善，像是STP、波特五力、SWOT、4Ps、AIDA、AISAS、AARRR等理论模型早已为资深从业者耳熟能详和熟练运用</p><p style="text-align: start;">但这些模型的具体含义是什么和如何使用，对于从业新人或过往忽视理论的朋友来说还是相当陌生，在公众号后台和知乎上有不少朋友在向我提问。</p><p style="text-align: start;">此前，我已经在文章中介绍过STP、品牌生命周期、商业模式画布、消费者旅程等相关理论模型，打算在之后的文章中继续分享一些其他常用的营销理论模型，也期待与感兴趣的朋友交流。</p><p style="text-align: start;">今天就让我们一起来了解下AARRR模型（海盗模型和增长黑客模型）。</p><h2 style="text-align: start; line-height: 1.5;"><strong>一、什么是AARRR模型？</strong></h2><p style="text-align: start;"><strong>AARRR模型的实质是一个用户生命周期模型，</strong>关注用户获取（Acquisition）、激活（Activation）、留存（Retention）、收入（Revenue）和自传播（Refer）这五个方面，描述了用户从了解一个产品或服务到成为忠实用户的整个过程，对应于产品生命周期中的五个阶段。</p><p style="text-align: start;">AARRR模型是由硅谷著名风险投资人戴夫·麦克卢尔Dave McClure于2007年提出的，也被称为海盗模型或增长黑客理论模型。</p><p style="text-align: start;">AARRR模型之所以被称为海盗模型，是因为将其对用户生命周期的开发过程形象地比喻为像海盗一样的掠夺式增长；</p><p style="text-align: start;">而AARRR模型被冠以增长黑客模型的名称，则是因为其是增长黑客（互联网时代对以数据驱动营销，以市场指导产品，通过技术化手段贯彻增长目标的人）在进行用户增长时的重要工具。</p><p style="text-align: start;"><strong>具体来看，AARRR模型包含五个关键阶段：</strong></p><p style="text-align: start;"><strong>1、获取用户（Acquisition）：</strong>通过大数据分析将消费者更感兴趣的产品推荐给用户，从而获得用户。</p><p style="text-align: start;"><strong>2、提高活跃度（Activation）：</strong>通过优化传播内容、拓宽传播渠道以及提供更有情绪价值的服务等方式，提升用户的活跃度。</p><p style="text-align: start;"><strong>3、提高留存（Retention）：</strong>在兴趣电商时代，留存率指的是消费者在购买某个品牌或产品后，能够继续使用并保持忠诚度的比例。对于电商平台而言，如何帮助品牌提高留存率是衡量平台吸引力和用户满意度的重要指标之一。</p><p style="text-align: start;"><strong>4、获取收入（Revenue）：</strong>通过使用户有兴趣并持续保持兴趣，最终实现销售转化。</p><p style="text-align: start;"><strong>5、自传播（Refer）：</strong>在新营销时代，自传播更多地代表着用户多元化的分享行为，也是品牌的营销和产品被用户认可所产生的UGC内容、朋友圈推荐以及愿意将品牌行为/产品变成自己“炫耀”的资本。</p><p style="text-align: start;"><strong>AARRR模型可以抽象为一个五级漏斗模型，如下图：</strong></p><p style="text-align: start;"><img 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" alt="image.png" data-href="" style=""></p><p style="text-align: start;">要注意的是，市场营销还经常会使用AIDA模型（Attention、Interest、Desire、Action）和AISAS模型（Attention、Interest、Search、、Action、Share），我认为它们与AARRR模型都是描述用户行为和购买过程的模型，只不过是从不同视角出发的一体两面：<strong>AIDA模型和AISAS模型是站在用户视角强调其行动，而AARRR模型是站在产品视角强调通过合适手段去调动用户的行动。</strong></p><p style="text-align: start;">营销理论没有绝对的对与错，在实践工作中我们可以根据实际情况切换不同视角，把这些模型结合起来灵活应用。</p><h2 style="text-align: start; line-height: 1.5;"><strong>二、为何AARRR模型对于营销工作非常重要？</strong></h2><p style="text-align: start;">互联网时代，大量软件产品服务涌现，AARRR模型被增长黑客和运营人员应用来推动产品用户的增长和商业变现，取得了相当不错的成绩，也因此被市场营销人员所注意，应用到更广泛领域的市场营销实践工作中。</p><p style="text-align: start;">随着工业生产能力不断提升、信息技术快速发展，品牌竞争日益激烈、媒介传播环境充斥着无限的诱惑和巨大噪声，为了保持领先地位并实现持续增长，<strong>品牌需要紧紧地抓住客户、强化其忠诚度，并追求商业变现、用户忠诚、品牌建设之间的均衡发展，AARRR模型则为我们提供了有益的思考框架和清晰的可执行路径。</strong></p><p style="text-align: start;"><strong>AARRR模型提供了一个全面的视角，描述了用户生命周期对应品牌增长的每一个关键环节，</strong>通过深入了解用户需求和市场趋势，<strong>品牌可以制定不同阶段的有针对性的策略，提高用户留存率、转化率和满意度，</strong>以实现在保持快速用户增长的同时，做好商业变现和品牌建设的平衡，更充分地挖掘用户全生命周期的价值。</p><p style="text-align: start;"><strong>数据分析在现代营销中扮演着至关重要的角色，AARRR模型强调了数据在每个增长阶段中的核心地位，</strong>通过数据分析企业可以深入了解用户行为、制定营销策略、跟踪和评估营销工作效果并进行持续的调整优化，这有利于并提高营销资源的使用效率和增加营销活动的成功率。</p><p style="text-align: start;"><strong>此外，AARRR模型站在产品发展的视角去调动用户，强调了用户体验在品牌增长中的关键作用。</strong>从初次接触用户开始，企业就需要提供令人印象深刻的第一印象并持续提供良好的用户体验，再以此去驱动研发设计、生产制造等部门不断升级产品服务和提升品质，驱动客服、营销、销售等人员强化互动沟通和优化服务体验，以确保用户满意从而挖掘其潜藏的商业价值。</p><h2 style="text-align: start; line-height: 1.5;"><strong>三、如何运用AARRR模型来优化营销工作？</strong></h2><p style="text-align: start;">AARRR模型为我们提供了一个思考的框架和执行路径，但具体如何运用这一模型还需要根据实际情况而定，但一般来说在不同阶段可以从以下方面着手：</p><p style="text-align: start;"><strong>1、获取Acquisition——吸引尽可能多的潜在用户接触品牌。</strong></p><p style="text-align: start;">但这并不是意味着盲目地在各种传播渠道进行大声量的传播和高频大体量的活动，而是要基于调研精准定位潜在用户后再集中资源渗透。</p><p style="text-align: start;"><strong>首先，品牌要进行市场研究和用户调查，</strong>了解目标用户是谁、他们在哪里以及他们的需求和兴趣是什么；</p><p style="text-align: start;"><strong>然后，品牌要根据收集到的信息制定用户获取策略，</strong>包括选择合适的渠道和推广方式，例如社交媒体广告、搜索引擎优化（SEO）、内容营销、合作伙伴关系等，来吸引潜在用户进入品牌或产品；</p><p style="text-align: start;"><strong>此外，品牌要定期评估获取策略的效果，并根据数据进行调整和优化，</strong>而效果评估可以关注获取成本（CAC）、用户来源和转化率等指标。</p><p style="text-align: start;"><strong>2、激活Activation——引导用户使用产品和全面了解品牌。</strong></p><p style="text-align: start;"><strong>为此，品牌需要降低使用门槛、消除接触障碍，并提供优秀的用户体验。</strong></p><p style="text-align: start;"><strong>品牌要以合适的方式唤醒客户的注意，并提供易于使用的界面、优秀的客户服务、明确的使用引导、有趣的互动体验等来满足用户需求和期望。</strong></p><p style="text-align: start;">例如，品牌可以在营销活动中手机用户的手机号或引导其注册APP、关注公众号、添加工作人员微信，这可以通过提供免费的试用样品或者优惠券来实现，后续通过短信、公众号消息、微信沟通或电话来引导其深入使用，为了调动其积极性可以提供优惠券、运用会员机会体系或策划互动活动等。</p><p style="text-align: start;"><strong>3、保留Retention——使用户继续使用你的产品或服务，保持和提升其忠诚度，</strong></p><p style="text-align: start;"><strong>为此，品牌需要定期更新产品、提供新的功能和服务，</strong>以满足用户的需求和期望，保持用户的兴趣和参与度，并建立优质的客户服务体系，及时回应用户的问题和反馈，通过专业、友好的客户服务提高用户忠诚度；</p><p style="text-align: start;"><strong>其次，品牌可以通过邮件、通知、活动等方式与用户保持长期的联系和互动</strong>，<strong>也可以尝试建立有效的激励制度，例如</strong>积分、等级、优惠券等，以激励用户更频繁地使用产品或服务；</p><p style="text-align: start;"><strong>此外，品牌也可以建立用户社区，</strong>鼓励用户之间的互动和交流和更好地了解用户需求和反馈，强化他们对品牌文化的认可、参与产品服务的开发和升级、增加用户粘性和品牌忠诚度。</p><p style="text-align: start;"><strong>4、收益Revenue——制定和优化定价策略，并提供便捷的支付方式，让用户愿意也容易为产品服务付费。</strong></p><p style="text-align: start;"><strong>在定价策略上，企业需要综合考虑多种因素，以确保价格与产品或服务的价值相匹配并具有竞争力，</strong>例如价值定价（确保价格与用户感知的价值相匹配）、市场比较定价（根据竞争对手的价格来设定自己的价格，以提供更具竞争力的定价）、差别定价（根据不同的用户群体、产品版本或服务等级来设定不同的价格），从而满足不同用户的需求和期望，提升其付费的意愿。</p><p style="text-align: start;"><strong>同时，企业需要选择合适的付费模式以吸引和满足用户的需求。</strong>例如，存储和在线办公套件等频繁使用的服务可以采取按月或按年付费的订阅模式，既为用户提供灵活的付费选择的同时又保证企业的持续收益；软件和游戏等用户一次性付费即可永久使用的产品可以采用买断模式，通过提供永久的使用权增加付费购买意愿；也可以采用“免费+增值”模式是基础功能免费，高级功能收费的模式，例如如广告免费、无广告收费的区别服务模式，在保证大用户基础的同时促使用户付费享受更高品质的服务。</p><p style="text-align: start;"><strong>此外，品牌还要支持信用卡、支付宝、微信支付等多种支付方式，并提供清晰的支付流程说明</strong>，确保用户能够轻松完成支付；<strong>还可以开展如折扣、买一送一、捆绑销售等促销活动，</strong>吸引用户付费，充分挖掘留存用户所潜藏的商业价值。</p><p style="text-align: start;"><strong>5、推荐Refer——调懂用户推荐品牌或产品给其他人。</strong></p><p style="text-align: start;"><strong>为了激励用户推荐品牌或产品给其他人，企业需要提供优秀的用户体验，</strong>让用户对产品或服务满意并产生推荐意愿，并建立有效的推荐机制，如推荐奖励、分享功能等来激励用户积极参与推荐活动。</p><p style="text-align: start;"><strong>此外，品牌要善于利用社交媒体和口碑营销来进一步扩大品牌的知名度和影响力，</strong>例如策划有奖互动活动来引导老用户参与和吸引更多潜在用户的关注和信任，并通过建立话题标签或品牌专区来沉淀相关的传播内容，以实现更长期的可持续的品牌影响。</p><h2 style="text-align: start; line-height: 1.5;"><strong>四、结语</strong></h2><p style="text-align: start;">AARRR模型提供了一个全面且系统的营销框架，旨在指导品牌更好地理解用户并与其建立长期关系。本模型关注用户全生命周期，通过获取、激活、留存、收入和推荐来吸引更多潜在用户、提高用户满意度和忠诚度、增加收益、扩大影响力，并最终实现持续的增长和成功。</p><p style="text-align: start;">因此，理解和运用AARRR模型对于品牌的长期发展至关重要。这需要品牌不仅关注单一的销售或推广活动，而要从更高层次的视角和更长时间周期来看待与用户的关系，并以数据分析驱动精准高效的营销活动，在用户生命周期的不同阶段实现相应的营销目标。</p>`
);
const dialogVisible = ref(false);
const list = ref(["-"]);
const dayValue = ref("");
const combinationValue1 = ref("");
const combinationValue2 = ref("");
const analysisConclusion = ref("");
const errorNum = ref(0);
const step1Error = ref(0);
const step2Error = ref(0);
const step3Error = ref(0);
const step4Error = ref(0);
const step5Error = ref(0);
const step1AnswerFlag = ref(false);
const step2AnswerFlag = ref(false);
const step3AnswerFlag = ref(false);
const step4AnswerFlag = ref(false);
const step5AnswerFlag = ref(false);
const step1Params1 = ref("");
const step1Params2 = ref("");
const step2Params1 = ref("");
const step2Params2 = ref("");
const step3Params1 = ref("");
const step3Params2 = ref("");
const step4Params1 = ref("");
const step4Params2 = ref("");
const step4Params3 = ref("");
const step4Params4 = ref("");
const step5Params = ref("");
const knowledgeFlag = ref(false);
//时间间隔分组数-7天内
const sevenNum = ref(0);
//时间间隔分组数-15天内
const fiftyNum = ref(0);
//时间间隔分组数-30天内
const thirtyNumIn = ref(0);
//时间间隔分组数-30天以上
const thirtyNumOut = ref(0);
const activationList = ref([
  {
    label: "2020-01",
    value: "2020-01",
  },
  {
    label: "2020-02",
    value: "2020-02",
  },
  {
    label: "2020-03",
    value: "2020-03",
  },
  {
    label: "2020-04",
    value: "2020-04",
  },
  {
    label: "2020-05",
    value: "2020-05",
  },
  {
    label: "2020-06",
    value: "2020-06",
  },
  {
    label: "2020-07",
    value: "2020-07",
  },
  {
    label: "2020-08",
    value: "2020-08",
  },
  {
    label: "2020-09",
    value: "2020-09",
  },
  {
    label: "2020-10",
    value: "2020-10",
  },
]);
const step1Data = ref([
  {
    data1: "基础线上工作",
    data2: "300.04",
  },
  {
    data1: "手机厂商预装",
    data2: "104.92",
  },
  {
    data1: "新媒体推广",
    data2: "274.55",
  },
  {
    data1: "线下互动推广",
    data2: "400.06",
  },
  {
    data1: "合计",
    data2: "319.95",
  },
]);
const step2Data = ref([
  {
    week: "第一周",
    interval: "2024/3/1-2024/3/7",
  },
  {
    week: "第二周",
    interval: "2024/3/8-2024/3/14",
  },
  {
    week: "第三周",
    interval: "2024/3/15-2024/3/21",
  },
  {
    week: "第四周",
    interval: "2024/3/22-2024/3/28",
  },
]);
const step3Data = ref([
  {
    date: "2020-01",
    ratio1: "28.91%",
    ratio2: "6.25%",
    ratio3: "7.81%",
  },
  {
    date: "2020-02",
    ratio1: "30.56%",
    ratio2: "14.20%",
    ratio3: "17.90%",
  },
  {
    date: "2020-03",
    ratio1: "36.65%",
    ratio2: "12.62%",
    ratio3: "16.02%",
  },
  {
    date: "2020-04",
    ratio1: "40.70%",
    ratio2: "18.02%",
    ratio3: "17.15%",
  },
  {
    date: "2020-05",
    ratio1: "32.62%",
    ratio2: "13.85%",
    ratio3: "19.38%",
  },
  {
    date: "2020-06",
    ratio1: "35.34%",
    ratio2: "14.08%",
    ratio3: "16.95%",
  },
  {
    date: "2020-07",
    ratio1: "32.00%",
    ratio2: "16.31%",
    ratio3: "13.54%",
  },
  {
    date: "2020-08",
    ratio1: "37.11%",
    ratio2: "17.85%",
    ratio3: "16.43%",
  },
  {
    date: "2020-09",
    ratio1: "36.51%",
    ratio2: "12.83%",
    ratio3: "14.80%",
  },
  {
    date: "2020-10",
    ratio1: "37.63%",
    ratio2: "6.45%",
    ratio3: "1.08%",
  },
  {
    date: "合计",
    ratio1: "34.80%",
    ratio2: "13.25%",
    ratio3: "14.11%",
  },
]);
const step4Data = ref([
  {
    data1: "低活跃用户",
    data2: "0＜购买金额≤200",
    data3: "2253",
  },
  {
    data1: "普通用户",
    data2: "200＜购买金额≤500",
    data3: "1077",
  },
  { data1: "会员用户", data2: "500＜购买金额", data3: "493" },
]);
const step4DataTable2 = ref([
  {
    id: "过去30天平均DAU/MAU",
  },
  {
    id: "月平均活跃天数（天）",
  },
]);
const step5Data = ref([
  {
    data1: "5364",
    data2: "12526",
    data3: "6267",
    data4: "1.17",
  },
]);
const step6Data = ref([
  {
    data1: "1",
    data2: "小明",
    data3: "4",
    data4: "2",
    data5: "4",
  },
  {
    data1: "2",
    data2: "小红",
    data3: "5",
    data4: "2",
    data5: "2",
  },
  {
    data1: "3",
    data2: "小李",
    data3: "5",
    data4: "1",
    data5: "1",
  },
]);
const rulesTable = ref([
  {
    data1: "1.重要价值用户",
    data2: "高",
    data3: "高",
    data4: "高",
  },
  {
    data1: "2.重要发展用户",
    data2: "高",
    data3: "低",
    data4: "高",
  },
  {
    data1: "3.重要保持用户",
    data2: "低",
    data3: "高",
    data4: "高",
  },
  {
    data1: "4.重要挽留用户",
    data2: "低",
    data3: "低",
    data4: "高",
  },
  {
    data1: "5.一般价值用户",
    data2: "高",
    data3: "高",
    data4: "低",
  },
  {
    data1: "6.一般发展用户",
    data2: "高",
    data3: "低",
    data4: "低",
  },
  {
    data1: "7.一般保持用户",
    data2: "低",
    data3: "高",
    data4: "低",
  },
  {
    data1: "6.一般挽留用户",
    data2: "低",
    data3: "低",
    data4: "低",
  },
]);
const typeData = ref([
  {
    data1: "A类商品",
    data2: "占总销售额的80%，需要重点关注",
  },
  {
    data1: "B类商品",
    data2: "占总销售额的10%，给予次要关注",
  },
  {
    data1: "C类商品",
    data2: "占总销售额的10%，给予一般关注",
  },
]);
const dayOptions = ref([
  {
    value: "1日",
    label: "1日",
  },
  {
    value: "2日",
    label: "2日",
  },
  {
    value: "3日",
    label: "3日",
  },
  {
    value: "4日",
    label: "4日",
  },
  {
    value: "5日",
    label: "5日",
  },
  {
    value: "6日",
    label: "6日",
  },
  {
    value: "7日",
    label: "7日",
  },
  {
    value: "8日",
    label: "8日",
  },
  {
    value: "9日",
    label: "9日",
  },

  {
    value: "10日",
    label: "10日",
  },
  {
    value: "11日",
    label: "11日",
  },
  {
    value: "12日",
    label: "12日",
  },
  {
    value: "13日",
    label: "13日",
  },
  {
    value: "14日",
    label: "14日",
  },
]);
onMounted(() => {
  getData();
});
onBeforeUnmount(() => {
  saveData();
});
const moveUp = (index, row) => {
  console.log("上移", index, row);
  if (index > 0) {
    const upDate = step2Data.value[index - 1];
    step2Data.value.splice(index - 1, 1);
    step2Data.value.splice(index, 0, upDate);
  } else {
    alert("已经是第一条，不可上移");
  }
};
const moveDown = (index, row) => {
  console.log("下移", index, row);
  if (index + 1 === step2Data.value.length) {
    alert("已经是最后一条，不可下移");
  } else {
    const downDate = step2Data.value[index + 1];
    step2Data.value.splice(index + 1, 1);
    step2Data.value.splice(index, 0, downDate);
  }
};
const addCombination = () => {
  if (list.value[0] == "-") {
    list.value = [];
  }
  // list.value = [];
  if (combinationValue1.value == "" || combinationValue2.vlaue == "") {
    proxy.$modal.msgError("请选择组合");
    return;
  }
  list.value.push(combinationValue1.value + "—" + combinationValue2.value);
};
const tableSpanMethod = ({ row, column, rowIndex, columnIndex }) => {
  if (rowIndex === 0) {
    if (columnIndex === 6) {
      return [2, 1];
    }
  }
  if (rowIndex === 0) {
    if (columnIndex === 7) {
      return [2, 1];
    }
  }
  if (rowIndex === 2) {
    if (columnIndex === 6) {
      return [2, 1];
    }
  }
  if (rowIndex === 2) {
    if (columnIndex === 7) {
      return [2, 1];
    }
  }
  if (rowIndex === 4) {
    if (columnIndex === 6) {
      return [2, 1];
    }
  }
  if (rowIndex === 4) {
    if (columnIndex === 7) {
      return [2, 1];
    }
  }
  if (rowIndex === 6) {
    if (columnIndex === 6) {
      return [2, 1];
    }
  }
  if (rowIndex === 6) {
    if (columnIndex === 7) {
      return [2, 1];
    }
  }
};
const handleChangeDay = (e) => {
  console.log(e);
};
const draw = () => {
  var chartDom = document.getElementById("echarts");
  var myChart = echarts.init(chartDom, "dark");
  var option;

  option = {
    title: {
      text: "2021/8/1",
      left: "center",
      top: "10",
    },
    tooltip: {
      trigger: "axis",
      formatter: "{c}%",
    },
    xAxis: {
      type: "category",
      data: [
        "1",
        "2",
        "3",
        "4",
        "5",
        "6",
        "7",
        "8",
        "9",
        "10",
        "11",
        "12",
        "13",
        "14",
      ],
    },
    yAxis: {
      type: "value",
      axisLabel: {
        formatter: "{value}%",
      },
    },
    series: [
      {
        data: [100, 88, 73, 60, 54, 38, 33, 25, 18, 12, 10, 9, 6, 4],
        type: "line",
      },
    ],
  };

  option && myChart.setOption(option);
};
const drawEcharts = () => {
  var chartDom = document.getElementById("echarts1");
  var myChart = echarts.init(chartDom, "dark");
  var option;

  option = {
    title: {
      text: "推广渠道对比(获客人数)",
      left: "center",
      top: "10px",
      textStyle: {
        color: "#fff",
        // fontSize:16
      },
    },
    xAxis: {
      type: "category",
      data: ["基础线上工作", "手机厂商预装", "新媒体推广", "线下活动推广"],
      axisLabel: {
        textStyle: {
          color: "#fff", //坐标值得具体的颜色
        },
      },
      axisLine: {},
    },
    yAxis: {
      type: "value",
      name: "获取新客数量",
      axisLabel: {
        textStyle: {
          color: "#fff", //坐标值得具体的颜色
        },
      },
    },
    series: [
      {
        data: [900, 1000, 1800, 2600],
        type: "bar",
        // itemStyle:{
        //     color:'#00B6F5'
        // }
      },
    ],
  };

  option && myChart.setOption(option);
};
const drawLineEchart = () => {
  var chartDom = document.getElementById("echartsLine");
  var myChart = echarts.init(chartDom, "dark");
  var option;

  option = {
    xAxis: {
      type: "category",
      boundaryGap: false,
      data: [
        "2020-01",
        "2020-02",
        "2020-03",
        "2020-04",
        "2020-05",
        "2020-06",
        "2020-07",
        "2020-08",
        "2020-09",
        "2020-10",
      ],
      axisLabel: {
        textStyle: {
          color: "#fff", //坐标值得具体的颜色
        },
      },
    },
    yAxis: {
      type: "value",
      name: "激活率",
      axisLabel: {
        formatter: "{value}%", // 在这里添加单位
        textStyle: {
          color: "#fff", //坐标值得具体的颜色
        },
      },
    },
    tooltip: {
      //   trigger: "axis",
      formatter: "注册日期：{b}<br />激活率：{c}%",
    },
    series: [
      {
        data: [81.9, 83.78, 79.39, 77.29, 78.25, 73.43, 80, 84.9, 84.48, 58.33],
        label: {
          formatter: "{c}%",
          show: true,
          position: "top",
        },
        type: "line",
        lineStyle: {
          color: "#AACC63",
        },
        itemStyle: {
          color: "#AACC63",
        },
        areaStyle: {
          color: {
            type: "linear",
            x: 0,
            y: 0,
            x2: 0,
            y2: 1,
            colorStops: [
              {
                offset: 0,
                color: "#00751C", // 0% 处的颜色
              },
              {
                offset: 1,
                color: "#002652", // 100% 处的颜色
              },
            ],
            global: false, // 缺省为 false
          },
        },
      },
    ],
  };

  option && myChart.setOption(option);
};
const step1Submit = () => {
  step1Error.value = 0;
  if (step1Params1.value == "" || step1Params2.value == "") {
    proxy.$modal.msgError("请先完成所有填空");
    return;
  }
  if (step1Params1.value != "线下活动推广") {
    step1Error.value++;
  }
  if (step1Params2.value != "线下活动推广") {
    step1Error.value++;
  }
  //   console.log(666);
  console.log(step1Error.value, "错误数");
  proxy.$modal.msgSuccess("提交成功");
  step1AnswerFlag.value = true;
};
const step2Submit = () => {
  step2Error.value = 0;
  if (step2Params1.value == "" || step2Params2.value == "") {
    proxy.$modal.msgError("请先完成所有填空");
    return;
  }
  if (step2Params1.value != "80%") {
    step2Error.value++;
  }
  if (step2Params2.value != "2020-10") {
    step2Error.value++;
  }
  console.log(step2Error.value, "错误数");
  proxy.$modal.msgSuccess("提交成功");
  step2AnswerFlag.value = true;
};
const step3Submit = () => {
  step3Error.value = 0;
  if (step3Params1.value == "" || step3Params2.value == "") {
    proxy.$modal.msgError("请先完成所有填空");
    return;
  }
  if (step3Params1.value != "13.25%") {
    step3Error.value++;
  }
  if (step3Params2.value != "两周") {
    step3Error.value++;
  }
  console.log(step3Error.value, "错误数");
  proxy.$modal.msgSuccess("提交成功");
  step3AnswerFlag.value = true;
};
const step4Submit = () => {
  step4Error.value = 0;
  if (
    step4Params1.value == "" ||
    step4Params2.value == "" ||
    step4Params3.value == "" ||
    step4Params4.value == ""
  ) {
    proxy.$modal.msgError("请先完成所有填空");
    return;
  }
  if (step4Params1.value != "58.9%") {
    step4Error.value++;
  }
  if (step4Params2.value != "28.2%") {
    step4Error.value++;
  }
  if (step4Params3.value != "12.9%") {
    step4Error.value++;
  }
  if (step4Params4.value != "会员用户") {
    step4Error.value++;
  }
  console.log(step4Error.value, "错误数");
  proxy.$modal.msgSuccess("提交成功");
  step4AnswerFlag.value = true;
};
const step5Submit = () => {
  step5Error.value = 0;
  if (step5Params.value == "") {
    proxy.$modal.msgError("请先完成所有填空");
    return;
  }
  if (step5Params.value != "1.17") {
    step5Error.value++;
  }
  console.log(step5Error.value, "错误数");
  proxy.$modal.msgSuccess("提交成功");
  step5AnswerFlag.value = true;
};
const saveData = () => {
  const params = {
    stepFiveA: step1Params1.value,
    stepFiveB: step1Params2.value,
    stepFiveC: step2Params1.value,
    stepFiveD: step2Params2.value,
    stepSixA: step3Params1.value,
    stepSixB: step3Params2.value,
    stepSixC: step4Params1.value,
    stepSixD: step4Params2.value,
    stepSevenA: step4Params3.value,
    stepSevenB: step4Params4.value,
    stepSevenC: step5Params.value,
    // stepSevenD: step4Data.value[1].params1,
    // stepEightA: step4Data.value[2].params1,
    // stepEightB: step4Data.value[3].params1,
    // stepEightC: step4Data.value[4].params1,
    // stepEightD: step4Data.value[5].params1,
    // stepNineA: step4Data.value[6].params1,
    // stepNineB: step4Data.value[7].params1,
    // stepNineC: step4Data.value[8].params1,
    // stepNineD: step4Data.value[9].params1,
    // stepTenA: step4DataTable2.value[0].params1,
    // stepTenB: step4DataTable2.value[1].params1,
    // stepTenC: analysisConclusionStep1.value,
    // stepTenD: analysisConclusionStep2.value,
    // stepElevenA: analysisConclusionStep3.value,
    // stepOneA: analysisConclusionStep4.value,
    // stepOneB: step1Data.value[8].params3,
    // stepOneC: step1Data.value[9].params1,
    // stepOneD: step1Data.value[9].params2,
    // stepTwoA: step1Data.value[9].params3,
    // stepTwoB: step4Data.value[6].params2,
    // stepTwoC: step5DataTable2.value[0].params,
    // stepThreeA: step5DataTable2.value[1].params,
    // stepThreeB: step5DataTable2.value[2].params,
    // stepThreeC: step5DataTable2.value[3].params,
    // stepThreeD: step5DataTable2.value[4].params,
    // stepFourA: step5DataTable3.value[0].params1,
    // stepFourB: step5DataTable3.value[0].params2,
    // stepFourC: step5DataTable3.value[1].params1,
    // stepFourD: step5DataTable3.value[1].params2,
    // stepNewOne: step5DataTable3.value[2].params1,
    // stepNewTwo: step5DataTable3.value[2].params2,
    // stepNewThree: step5DataTable3.value[3].params1,
    // stepNewFive: step5DataTable3.value[3].params2,
    // stepNewSix: step5DataTable3.value[4].params1,
    // stepNewEight: step5DataTable3.value[4].params2,
  };
  portraitModel
    .saveData({
      userId: JSON.parse(getUserInfo()).userId,
      module: "AARRR用户运营分析",
      ...params,
    })
    .then((res) => {})
    .catch((error) => {});
};
const getData = () => {
  portraitModel
    .getData({
      userId: JSON.parse(getUserInfo()).userId,
      module: "AARRR用户运营分析",
    })
    .then((res) => {
      step1Params1.value = res.data.stepFiveA;
      step1Params2.value = res.data.stepFiveB;
      step2Params1.value = res.data.stepFiveC;
      step2Params2.value = res.data.stepFiveD;
      step3Params1.value = res.data.stepSixA;
      step3Params2.value = res.data.stepSixB;
      step4Params1.value = res.data.stepSixC;
      step4Params2.value = res.data.stepSixD;
      step4Params3.value = res.data.stepSevenA;
      step4Params4.value = res.data.stepSevenB;
      step5Params.value = res.data.stepSevenC;
      //   step4Data.value[1].params1 = res.data.stepSevenD;
      //   step4Data.value[2].params1 = res.data.stepEightA;
      //   step4Data.value[3].params1 = res.data.stepEightB;
      //   step4Data.value[4].params1 = res.data.stepEightC;
      //   step4Data.value[5].params1 = res.data.stepEightD;
      //   step4Data.value[6].params1 = res.data.stepNineA;
      //   step4Data.value[7].params1 = res.data.stepNineB;
      //   step4Data.value[8].params1 = res.data.stepNineC;
      //   step4Data.value[9].params1 = res.data.stepNineD;
      //   step4DataTable2.value[0].params1 = res.data.stepTenA;
      //   step4DataTable2.value[1].params1 = res.data.stepTenB;
      //   analysisConclusionStep1.value = res.data.stepTenC;
      //   analysisConclusionStep2.value = res.data.stepTenD;
      //   analysisConclusionStep3.value = res.data.stepElevenA;
      //   analysisConclusionStep4.value = res.data.stepOneA;
      // step1Data.value[8].params3 = res.data.stepOneB;
      // step1Data.value[9].params1 = res.data.stepOneC;
      // step1Data.value[9].params2 = res.data.stepOneD;
      // step1Data.value[9].params3 = res.data.stepTwoA;
      // step4Data.value[6].params2 = res.data.stepTwoB;
      // step5DataTable2.value[0].params = res.data.stepTwoC;
      // step5DataTable2.value[1].params = res.data.stepThreeA;
      // step5DataTable2.value[2].params = res.data.stepThreeB;
      // step5DataTable2.value[3].params = res.data.stepThreeC;
      // step5DataTable2.value[4].params = res.data.stepThreeD;
      // step5DataTable3.value[0].params1 = res.data.stepFourA;
      // step5DataTable3.value[0].params2 = res.data.stepFourB;
      // step5DataTable3.value[1].params1 = res.data.stepFourC;
      // step5DataTable3.value[1].params2 = res.data.stepFourD;
      // step5DataTable3.value[2].params1 = res.data.stepNewOne;
      // step5DataTable3.value[2].params2 = res.data.stepNewTwo;
      // step5DataTable3.value[3].params1 = res.data.stepNewThree;
      // step5DataTable3.value[3].params2 = res.data.stepNewFive;
      // step5DataTable3.value[4].params1 = res.data.stepNewSix;
      // step5DataTable3.value[4].params2 = res.data.stepNewEight;
    })
    .catch((error) => {});
};
const submitData = () => {
  if (
    !step1AnswerFlag.value ||
    !step2AnswerFlag.value ||
    !step3AnswerFlag.value ||
    !step4AnswerFlag.value ||
    !step5AnswerFlag.value
  ) {
    proxy.$modal.msgError("请先完成所有步骤！");
    return;
  }
  errorNum.value =
    step1Error.value +
    step2Error.value +
    step3Error.value +
    step4Error.value +
    step5Error.value;
  console.log(errorNum.value, "总错误次数");
  portraitModel
    .submit({
      userId: JSON.parse(getUserInfo()).userId,
      taskName: "AARRR用户运营分析",
      numberOfErrors: errorNum.value,
    })
    .then((res) => {
      proxy.$modal.msgSuccess("提交成功");
    })
    .catch((error) => {});
};
const retrain = () => {
  portraitModel
    .retrain({
      userId: JSON.parse(getUserInfo()).userId,
      module: "AARRR用户运营分析",
    })
    .then((res) => {
      proxy.$modal.msgSuccess("重新实训成功");
      step1Params1.value = "";
      step1Params2.value = "";
      step2Params1.value = "";
      step2Params2.value = "";
      step3Params1.value = "";
      step3Params2.value = "";
      step4Params1.value = "";
      step4Params2.value = "";
      step4Params3.value = "";
      step4Params4.value = "";
      step5Params.value = "";
    })
    .catch((error) => {});
};
defineExpose({
  submitData,
  retrain,
  // practicalTraining,
});
</script>

<style scoped lang="scss">
.content {
  width: 100%;
  background: rgba(0, 29, 64, 0.5);
  border: 1px solid #0452c6;
  padding: 10px;
  //   opacity: 0.5;
  a:hover {
    text-decoration: underline;
  }
  .import {
    display: flex;
    font-size: 15px;
    font-weight: bold;
    width: 180px;
    height: 56px;
    background-image: url("@/assets/images/taskImport.png");
    background-size: 180px 56px;
    text-align: center;
    align-items: center;
    line-height: 56px;
    cursor: pointer;
    img {
      margin-left: 20px;
      margin-right: 15px;
    }
  }
  .caseBack {
    .conclusion {
      margin-top: 20px;
      padding: 10px;
      width: 577px;
      height: 70px;
      background: #005b55;
      border-radius: 10px;
      color: #28d298;
    }
    .step1Table {
      width: 588px;
      height: 313px;
      background: #002652;
      border: 1px solid #7995e8;
      margin-left: 20px;
      margin-top: 35px;
      text-align: center;
      padding-top: 10px;
      .titleTable {
        color: #fff;
        // margin:0 auto
      }
    }
    .title {
      font-weight: bold;
      margin-top: 10px;
      display: flex;
      align-items: center;
      span {
        margin-left: 10px;
      }
    }
    .download {
      cursor: pointer;
      margin-left: 20px;
      color: #000;
      padding-left: 10px;
      font-size: 14px;
      text-align: center;
      line-height: 31px;
      width: 89px;
      height: 31px;
      background: url("@/assets/images/downloadIcon.png");
    }
    .analysisBtn {
      width: 89px;
      height: 31px;
      background: url("@/assets/images/分析.png");
      color: #000;
      line-height: 31px;
      text-align: center;
      font-size: 14px;
      padding-left: 10px;
      margin-left: 20px;
    }
    .submit {
      cursor: pointer;
      margin-left: 20px;
      color: #000;
      padding-left: 10px;
      font-size: 14px;
      text-align: center;
      line-height: 31px;
      width: 99px;
      height: 31px;
      background: url("@/assets/images/提交任务.png");
    }
    .customerType {
      padding-left: 10px;
      display: flex;
      align-items: center;
      width: 945px;
      height: 26px;
      background: #003b75;
      border-radius: 10px;
      border: 1px solid #0052a3;
      font-size: 12px;
      margin-top: 10px;
      img {
        margin-right: 10px;
      }
    }
    .secondTitle {
      margin-top: 10px;
      display: flex;
      align-items: center;
      img {
        margin-right: 10px;
      }
    }
  }
  .line {
    width: 1400px;
    height: 1px;
    border: 1px solid #0452c6;
    opacity: 0.5;
    margin-top: 20px;
    margin-bottom: 20px;
  }
  .addBtn {
    background-color: #6af5fb;
    color: #080138;
    height: 31px;
    border: 1px solid #6af5fb;
    margin-left: 10px;
  }
  .comList {
    ul {
      text-align: center;
      list-style-type: none;
      border: 1px solid #7190d4;
      border-bottom: none;
      width: 124px;
      padding: 0;
      // padding: 0;
      margin: 0;
      p {
        width: 122px;
        height: 40px;
        line-height: 40px;
        background: #6e70f0;
        margin: 0;
      }
      li {
        padding: 0;
        margin: 0;
        line-height: 30px;
        width: 122px;
        height: 30px;
        background: #003b75;
        border-bottom: 1px solid #7190d4;
        font-size: 14px;
      }
    }
  }
  .draw {
    width: 145px;
    height: 31px;
    background: url("@/assets/images/绘制.png");
    background-size: 145px 31px;
    text-align: center;
    line-height: 31px;
    color: #000;
    font-size: 14px;
    cursor: pointer;
  }
  .analysis {
    width: 577px;
    height: 117px;
    background: #005b55;
    border-radius: 10px;
    margin-top: 20px;
    font-size: 14px;
    padding-left: 20px;
    padding-top: 12px;
    .conclusion {
      // display: block;

      margin-bottom: 10px;
      font-size: 16px;
    }
  }
  .generateBtn {
    width: 185px;
    height: 31px;
    background: url("@/assets/images/生成统计.png");
    text-align: center;
    line-height: 31px;
    color: #000;
    font-size: 14px;
    cursor: pointer;
  }
  .analysisConclusion {
    background: url("@/assets/images/分析.png");
    width: 89px;
    height: 31px;
    text-align: center;
    line-height: 31px;
    color: #000;
    font-size: 14px;
    // cursor: pointer;
    margin-left: 20px;
    padding-left: 10px;
  }
}
::v-deep .el-table tr {
  background-color: #002652 !important;
  color: #fff;
}
::v-deep .el-textarea__inner {
  background: #002652;
  color: #fff;
  // color: #5397C3;
}
</style>
