⼈⼯智能营销⽅案_AI增长营销智能营销精益AI
⼈⼯智能营销⽅案
Editor’s Note: We think this piece is important becau AI is transforming all industries and our author Lomit Patel is the foremost expert in how AI can transform growth marketing. In this short excerpt, Patel walks you through a scale for the purpo of evaluating autonomous marketing and marketing automation solutions. We’d love to hear from you about what you think about this piece.
编者注： 我们认为这很重要，因为AI正在改变所有⾏业，⽽我们的作者Lomit Patel是AI如何改变增长营销的最主要专家。在此简短的摘录中，Patel会逐步指导您进⾏规模评估，以评估⾃主营销和营销⾃动化解决⽅案。我们很乐意听到您对您对此作品的看法。
There are many exciting ways you can apply the power of AI and ML to streamline marketing process across the entire customer marketing funnel to help growth teams work smarter by automating in the following areas to help them stand apart from the competition:
您可以通过多种激动⼈⼼的⽅法来利⽤AI和ML的功能来简化整个客户营销渠道中的营销流程，从⽽通过以下⽅⾯的⾃动化来帮助增长团队更聪明地⼯作，以帮助他们在竞争中脱颖⽽出：
noentry
Segmentation
分割
Personalization
个性化
Media buying
媒体购买
Campaign optimization
⼴告活动最佳化
Predicting customer behavior
预测客户⾏为
Data analysis and reporting
数据分析与报告
Customer support
客户⽀持
Better cross-platform attribution
更好的跨平台归因
Fraud prevention
英语专业论文答辩
预防诈骗
Creative development and iteration
创意开发与迭代
I’ve found plenty of examples of ways that AI is transforming growth marketing to allow us to achieve things that would never have been possible without it. With AI, you can work smarter and gain a holistic, real-time view of your customers and their relevant interactions throughout the entire journey.
AI lets you act quickly on your data and makes it easier to focus on the higher value work by getting fast, actionable insights.
我已经找到了很多例⼦，说明⼈⼯智能正在改变增长营销的⽅式，使我们能够实现没有它就不可能实现的⽬标。 借助AI，您可以更智能地⼯作，并在整个旅程中获得客户及其相关交互的整体实时视图。 ⼈⼯智能使您可以快速处理数据，并通过快速，可⾏的见解更轻松地专注于更⾼价值的⼯作。
However, while the data to support AI is critical, data is nothing without a clearly defined business problem focud on cost reduction, risk reduction, and profit. Perhaps the most interesting thing about AI is that, while it can automate and do “work” at greater efficiency, it us machine learning to “think” and “learn” over time, strategizing, designing, recognizing patterns, and making decisions. If that sounds a lot like a human brain, it’s becau deep learning, one of the most important methods of machine learning, is bad on the idea of a neural network, modeling the structure and function of the human brain.
然⽽，尽管⽀持AI的数据⾄关重要，但如果没有明确定义的业务问题(专注于降低成本，降低风险和盈利)，数据就什么都不是。 也许关于AI 的最有趣的事情是，尽管它可以⾃动化并以更⾼的效率完成“⼯作”，但它会使⽤机器学习随着时间的推移“思考”和“学习”，制定战略，设计，识别模式并制定决策。
如果这听起来很像⼈类的⼤脑，那是因为深度学习是机器学习最重要的⽅法之⼀，它是基于神经⽹络的思想，对⼈类⼤脑的结构和功能进⾏建模。
评估⾃主营销的成熟度(在⾃动驾驶汽车族的帮助下) (Asssing the Maturity of Autonomous Marketing (with Help from the Self-Driving Car Folks))
With ambitions to launch lf-driving cars to the public in 2020, Tesla gets a lot of attention in the autonomous vehicle industry. But big automobile companies, startups, and tech giants are all working to deliver safe, lf-driving vehicles to the mass.
鉴于2020年向公众推出⾃动驾驶汽车的雄⼼，特斯拉在⾃动驾驶汽车⾏业引起了很多关注。 但是⼤型汽车公司，初创公司和科技巨头都在努⼒向⼤众提供安全的⾃动驾驶汽车。
To make n of where artificial intelligence and automation is at and where it’s going, the industry trade association the Society of Automobile Engineers (SAE) introduced its autonomy scale. It helps the industry determine and classify different levels of autonomous capabilities for vehicles.
为了弄清⼈⼯智能和⾃动化的现状以及未来发展的⽅向，⾏业贸易协会汽车⼯程师协会(SAE)引⼊了其⾃治规模。 它可以帮助⾏业确定和分类车辆的⾃动驾驶能⼒的不同级别。
Level 0拖延症英文
0级
No automation. The driver controls steering and speed (both acceleration and deceleration) at all times, with no assistance at all. This includes systems that only provide warnings to the driver without taking any action.
没有⾃动化。 驾驶员始终⽆需任何帮助即可控制转向和速度(包括加速和减速)。 这包括仅向驾驶员提供警告⽽不采取任何措施的系统。
Level 1
1级
Limited driver assistance. This includes systems that can control steering and acceleration/deceleration under specific circumstances, but not both at the same time.
有限的驾驶员协助。 这包括可以在特定情况下但不能同时控制转向和加速/减速的系统。
Level 2
2级
Driver-assist systems that control both steering and acceleration/deceleration. The systems shift some of the workload away from the human driver, but still require that person to be attentive at all times.9223
韩国语在线学习同时控制转向和加速/减速的驾驶员辅助系统。 这些系统将某些⼯作负荷从驾驶员⾝上转移了下来，但仍然要求该⼈始终保持专注。
Level 3
3级
Vehicles that can drive themlves in certain situations, such as in traffic on divided highways. When in autonomous mode, human intervention is not needed. But a human driver must be ready to take over when the vehicle encounters a situation that exceeds its limits.
在某些情况下可以⾃⾏驾驶的车辆，例如在分开的⾼速公路上⾏驶时。 在⾃主模式下，不需要⼈⼯⼲预。 但是，当车辆遇到超出其限制的情况时，驾驶员必须准备好接管。
Level 4
4级
Vehicles that can drive themlves most of the time, but may need a human driver to take over in certain situations.
complete什么意思⼤部分时间可以⾃⾏驾驶的车辆，但在某些情况下可能需要⼈⼯接管。
Level 5
5级
Fully autonomous. Level 5 vehicles can drive themlves at all times, under all circumstances. They have no need for
manual controls.
完全⾃主。 5级车辆在任何情况下都可以随时驾驶。 他们不需要⼿动控制。怎样快速去除黑眼圈
I propo a similar scale for the purpo of evaluating autonomous marketing and marketing automation solutions.
为了评估⾃主营销和营销⾃动化解决⽅案，我提出了⼀个类似的规模。
Level 0
0级
No automation. Marketers manage all tasks with basic tools and CRM systems that provide no real automation, but act as storage repositories for marketing data and results reporting (dashboards or “business intelligence” systems).
没有⾃动化。 营销⼈员使⽤基本⼯具和CRM系统管理所有任务，这些⼯具和CRM系统不提供真正的⾃动化功能，但充当营销数据和结果报告(仪表板或“商业智能”系统)的存储库。
Level 1
1级
Recommendation automation. Marketers leverage systems capable of following business rules (defined by the marketer) to make business recommendations for optimizing marketing outcomes. Examples include dashboards with recommendation systems for adjusting marketing spend by channel. The ur must take the final step of making the recommended adjustments.
推荐⾃动化。 营销⼈员利⽤能够遵循业务规则(由营销⼈员定义)的系统提出业务建议，以优化营销结果。 ⽰例包括带有推荐系统的仪表板，⽤于按渠道调整营销⽀出。 ⽤户必须采取最后的步骤进⾏建议的调整。
Level 2
2级
Rules-bad automation. Building on business rules t by marketers in Level 1, Level 2 rules-bad automation goes the next step and adjusts marketing campaigns automatically (generally via an application or API) without ur intervention or approval. Such systems rely on the ur to create the rules. Dynamic market conditions shift on a daily, hourly, or even minute-by-minute basis; rules-bad systems are rigid and not very flexible to adapt to market changes.
基于规则的⾃动化。 基于市场营销⼈员在第1级中设置的业务规则，基于第2级规则的⾃动化是下⼀步，⽆需⽤户⼲预或批准即可⾃动调整营销活动(通常通过应⽤程序或API)。 这样的系统依靠⽤户来创建规则。 动态的市场条件每天，每⼩时甚⾄每分钟都在变化； 基于规则的系统是僵化的，不能适应市场变化。30 minutes
Level 3
3级
Computational autonomy. Systems that u machine learning to obrve, learn, and improve outcomes bad on statistical analysis combined with marketing automation. No intervention is required by the ur, apart from tting goals or broad-bad parameters such as campaign dates or geographies for digital campaigns.
计算⾃主权。 使⽤机器学习来观察，学习和改善结果的系统，该系统基于统计分析和市场营销⾃动化相结合。 除了设置⽬标或⼴泛的参数(例如活动⽇期或数字活动的地理位置)之外，⽤户⽆需⼲预。
Level 4
4级
Insightful autonomy. Systems that understand the contextual meaning of ur interactions, content, behavior, performance data, and more to personalize 1:1 marketing messages across various channels and drive optimal performance for operators.
会计岗位职责有见识的⾃治。 系统了解⽤户交互，内容，⾏为，性能数据等的上下⽂含义，以跨各种渠道个性化1：1营销消息并为运营商带来最佳性能。
Level 5
星座香水
5级
Fully autonomous. Level 5 systems build insightful autonomy capabilities but generate their own unsupervid tests, creative variations, targeting parameters, and more with no ongoing intervention from the marketing team.
完全⾃主。 5级系统构建了具有洞察⼒的⾃治功能，但⽆需市场营销团队的持续⼲预即可⽣成⾃⼰的⽆监督测试，创意变化，⽬标参数等。
Most growth teams are in the process of figuring out how to reach a level of proficiency to move from Level 0 to Level 2. However, the biggest challenge and opportunity is to advance from Level 2 to Level 5, to completely reap the benefits of the full superpowers of artificial intelligence to scale up your efforts into the world of Customer Acquisition 3.0.
⼤多数成长团队都在研究如何达到从0级到2级的熟练⽔平。但是，最⼤的挑战和机遇是从2级升级到5级，以完全获得该团队的收益。全⾯的⼈⼯智能超级能⼒，可将您的⼯作扩展到客户获取3.0的世界。
学得更快。深⼊挖掘。看得更远。 (Learn faster. Dig deeper. See farther.)
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Lomit Patel is the Vice President of Growth at IMVU, responsible for ur acquisition, retention, and monetization. Prior to IMVU, Lomit managed growth at early stage startups including Roku (IPO), TrustedID (acquired by Equifax), Texture (acquired by Apple), and Earthlink. Lomit is a public speaker, author, advisor, and recognized as a Mobile Hero by Liftoff. To learn more or to get in touch with Lomit,
Lomit Patel是IMVU的增长副总裁，负责⽤户获取，保留和货币化。在加⼊IMVU之前，Lomit负责早期创业公司的增长，包括
Roku(IPO)，TrustedID(由Equifax收购)，Texture(由Apple收购)和Earthlink。Lomit是⼀位公开演讲者，作家，顾问，并被Liftoff评为“移动英雄”。要了解更多信息或与Lomit联系，请访问。
⼈⼯智能营销⽅案
