esc0rp 发表于 2024-9-3 14:03:49

干货|自动化在Google应用中的应用:探索智能化将来


    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">当下,企业经营面临不确定性,用户<span style="color: black;">需要</span>日益多样,消费<span style="color: black;">行径</span>更个性化,消费者更注重隐私,技术<span style="color: black;">持续</span>迭代更新。种种变化都对营销人员应对变化、保持增长的能力提出了更高的<span style="color: black;">需求</span>。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">而在这种<span style="color: black;">状况</span>前提下,Google全面推出AI智能营销策略,并<span style="color: black;">持续</span>丰富完善,<span style="color: black;">经过</span>应用 Google AI 赋能的<span style="color: black;">宣传</span><span style="color: black;">处理</span><span style="color: black;">方法</span>,<span style="color: black;">帮忙</span>客户在响应速度 (Speed) 和覆盖范围 (Scale) 上满足用户,从而进一步取得成功。</span></span></p>
    <div style="color: black; text-align: left; margin-bottom: 10px;"><img src="https://p3-sign.toutiaoimg.com/tos-cn-i-qvj2lq49k0/276df49987264936ac9c169eff6ac421~noop.image?_iz=58558&amp;from=article.pc_detail&amp;lk3s=953192f4&amp;x-expires=1725938253&amp;x-signature=%2Bw5ekoOt%2FP3V%2F9Xz1KpVcqperwA%3D" style="width: 50%; margin-bottom: 20px;"></div>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">由谷歌<span style="color: black;">全世界</span>数据报告来看,超过 80% 的谷歌<span style="color: black;">宣传</span>主<span style="color: black;">经过</span><span style="color: black;">运用</span>智能出价来优化营销业绩 。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">新<span style="color: black;">制品</span>在推出过程中难免会存在<span style="color: black;">必定</span>的存疑与顾虑,例如“算法可控吗?Google AI 赋能营销<span style="color: black;">可靠</span>吗?对营销增长真的有<span style="color: black;">帮忙</span>吗?<span style="color: black;">咱们</span>应该怎样用好 Google AI 赋能营销<span style="color: black;">帮忙</span>业务增长?”等针对Google AI 赋能营销的功能与用法方面的疑虑层出不穷。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">这里</span>,<span style="color: black;">咱们</span>将逐一解答三个<span style="color: black;">平常</span>迷思,并借此解释 Google AI 赋能营销之于<span style="color: black;">将来</span>营销的战略<span style="color: black;">道理</span>,<span style="color: black;">而后</span>从企业业务可<span style="color: black;">连续</span>增长<span style="color: black;">方向</span>出发,介绍用好 Google AI 赋能营销的三条<span style="color: black;">详细</span>营销策略。</span></span></p>
    <h1 style="color: black; text-align: left; margin-bottom: 10px;">答疑解惑:重新认识 Google Al赋能的<span style="color: black;">宣传</span>营销<span style="color: black;">制品</span></h1>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">迷思 1:</span><span style="color: black;">“Google AI 赋能营销的算法真的<span style="color: black;">靠谱</span>吗?”</span></strong></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">正确认知:算法是可控的,<span style="color: black;">区别</span>营销<span style="color: black;">目的</span><span style="color: black;">持有</span><span style="color: black;">区别</span>算法</span>当品牌设定好品牌的营销<span style="color: black;">目的</span>、信息和出价策略后,智能出价算法将<span style="color: black;">按照</span>这些<span style="color: black;">目的</span>展开工作。该算法能够分析<span style="color: black;">海量</span>的变量,例如设备、时间和操作系统等,以自动<span style="color: black;">调节</span>和优化出价。无论业务<span style="color: black;">目的</span><span style="color: black;">怎样</span>变化,您都<span style="color: black;">能够</span>随时<span style="color: black;">调节</span>相应的<span style="color: black;">目的</span>,从而引导算法做出相应<span style="color: black;">调节</span>。<span style="color: black;">另外</span>,您还能够<span style="color: black;">经过</span>出价策略报告完整地<span style="color: black;">认识</span>算法的运作方式</p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">迷思 2:</span><span style="color: black;">“Google AI 赋能营销会<span style="color: black;">显现</span>数据<span style="color: black;">连续</span>波动的<span style="color: black;">状况</span>吗?”</span></strong></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">正确认知:Google AI 赋能营销的准确性和稳定性与数据量、运行时间<span style="color: black;">相关</span>。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">算法的运作是一个<span style="color: black;">设备</span>学习的过程,<span style="color: black;">宣传</span>端切换成智能出价后收集到的数据越多,它得出的结果会更加准确,表现<span style="color: black;">亦</span>会更加稳定。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">您可能会看到<span style="color: black;">宣传</span>端在切换成每次转化<span style="color: black;">花费</span> (CPA) 和<span style="color: black;">宣传</span>支出<span style="color: black;">报答</span>率 (ROAS) 等出价策略后刚<span style="color: black;">起始</span>会<span style="color: black;">显现</span><span style="color: black;">必定</span>波动,这是<span style="color: black;">由于</span>在一<span style="color: black;">起始</span>,<span style="color: black;">无</span>足够的转换数据供算法学习和优化结果。然而,当它收集到了<span style="color: black;">更加多</span>数据,它产出的结果将会趋向稳定,即使会<span style="color: black;">显现</span>少许波动,它仍然比人工出价稳定。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><strong style="color: blue;"><span style="color: black;">迷思 3:</span><span style="color: black;">“将营销预算花在 Google AI 赋能的营销能够最大程度达成我的营销<span style="color: black;">目的</span>吗?”</span></strong></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">正确认知:Google AI 赋能营销更关注业务的长远增长。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">与过度关注搜索点击量(Click)或每次转化<span style="color: black;">花费</span>(CPA)相比,<span style="color: black;">咱们</span><span style="color: black;">意见</span>您将<span style="color: black;">重视</span>力转移到整体优化结果和实现营销<span style="color: black;">目的</span>上。<span style="color: black;">经过</span><span style="color: black;">保证</span>营销投资<span style="color: black;">方法</span>与业务<span style="color: black;">目的</span>(如收入<span style="color: black;">提高</span>、利润<span style="color: black;">增多</span>或用户生命周期价值(LTV)的<span style="color: black;">加强</span>)保持一致,您将<span style="color: black;">发掘</span>Google AI在最大化品牌影响力和盈利能力,以及推动业务增长方面<span style="color: black;">拥有</span>非凡价值。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">例如,Google AI 赋能的搜索<span style="color: black;">宣传</span>就<span style="color: black;">能够</span>筛掉<span style="color: black;">功效</span>相对较弱的指标,以用户价值为核心衡量指标,进行智能出价,直接驱动增长。</span></span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;"><span style="color: black;">因此呢</span>,谷歌<span style="color: black;">意见</span>,您<span style="color: black;">能够</span>将营销支出用于多个 Google AI 赋能的营销工具,<span style="color: black;">由于</span> Google AI 赋能的营销工具<span style="color: black;">能够</span>理解为倍增器 (multipliers) ,当多个工具<span style="color: black;">一块</span><span style="color: black;">运用</span>时,在实现营销<span style="color: black;">目的</span>上会事半功倍,并对业务增长和盈利能力产生强有力的影响。</span></span></p>
    <h1 style="color: black; text-align: left; margin-bottom: 10px;">放眼<span style="color: black;">将来</span>:布局面向<span style="color: black;">将来</span>的营销策略</h1>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;"><span style="color: black;">非常多</span>企业认为 Google AI 赋能营销带来的好处是资源节省,这只是 Google AI 赋能营销的<span style="color: black;">第1</span>层目的。</span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">其深层目的和<span style="color: black;">优良</span>,是<span style="color: black;">经过</span>为企业节省时间,解放人力,抢占市场先机,从而为营销团队创造了更广阔的思考和探索的空间,让企业和营销人员能够把时间和精力集中在<span style="color: black;">处理</span>真正有价值的问题上,<span style="color: black;">例如</span>,怎么制定市场策略、分配营销预算、布局<span style="color: black;">营销</span><span style="color: black;">途径</span>、搭建用户数据、<span style="color: black;">提高</span>用户生命周期价值……这种更为本质的问题,才是事关企业<span style="color: black;">存活</span>发展的重中之重。</span></p>
    <p style="font-size: 16px; color: black; line-height: 40px; text-align: left; margin-bottom: 15px;"><span style="color: black;">正是<span style="color: black;">由于</span> Google AI 赋能营销功能的<span style="color: black;">持续</span>升级,营销之于企业的定位,<span style="color: black;">才可</span><span style="color: black;">逐步</span>从过去的“成本中心”,演化为今天和<span style="color: black;">将来</span>的“增长中心”,<span style="color: black;">帮忙</span>企业实现<span style="color: black;">连续</span>盈利。<span style="color: black;">因此呢</span>,拥抱 Google AI 赋能营销,<span style="color: black;">亦</span>是拥抱营销成功的<span style="color: black;">将来</span>。</span></p>




5ep9lzv 发表于 2024-9-10 15:18:49

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4zhvml8 发表于 2024-9-26 15:54:04

哈哈、笑死我了、太搞笑了吧等。

m5k1umn 发表于 2024-10-4 05:25:29

论坛是一个舞台,让我们在这里尽情的释放自己。

qzmjef 发表于 2024-10-5 01:01:19

可以发布外链的网站 http://www.fok120.com/

nqkk58 发表于 2024-10-24 20:21:06

顶楼主,说得太好了!

1fy07h 发表于 2024-10-29 04:53:58

感谢你的精彩评论,带给我新的思考角度。

1fy07h 发表于 2024-11-2 08:05:02

对于这个问题,我有不同的看法...
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