Managed by Q：这家初创公司能成为你的办公室管家
创业公司涉足的领域非常广泛，而这家公司却是靠其他创业公司赚钱的。
Managed by Q是一家帮助初创公司清扫、管理办公室的初创公司，在过去的四个月时间里，通过给初创公司清洁、管理办公场所，他们的客户数量翻了一倍，已经有200家初创公司选择了他们的服务。
我们知道，创业是一件很累的事情，即便是一家小公司，也没有额外的精力来处理办公场所里的各种琐事。Managed by Q公司创始人Saman Rahmanian和Dan Teran瞄准了这一机遇，希望帮助初创公司更高效地运营，他们提供了一套“智能”科技办公室服务，允许公司员工自己安排清扫、维护等事项时间，甚至还可以预约勤杂工。
“还没有哪家创业公司选择提供我们这种服务，绝大多数公司会安排一定数量的人员编制，专门负责办公场所管理，其中会涉及到各种相关的产品、服务、以及技术，等等。”Teran解释说道。
Rahmanian的解释则非常简单，他表示Managed by Q公司的目标，就是让办公场所更高效的运行。该公司为客户提供了一套免费的iPad应用，可以通过FaceTime提供7×24小时全天候客户服务。用户可以预约安排个性化的办公室清扫服务，还可以留言告诉Managed by Q自己需要怎么清扫，客户最后会根据清洁效果给予评分。举个例子，如果一家公司厕所里的卫生纸快用光了，就可以通过Managed by Q App进行预订。
“我们有一个客户，是一名26岁的女性，她是一家公司的办公室经理，每天重复预订果汁让她感到厌烦，于是她公司冰箱里放进了很多果汁。她想在办公室里放上一些自助手册，让员工自己明白该如何搞定一些琐事，但是结果却事与愿违，很多烦心的事儿还是会让她亲历亲为。”Teran表示，他不希望这种事情发生在自己的公司身上。
“这需要透明度，也需要沟通，如果你想明白了这两点，那么剩下来的事情就会很简单。我想，如今这个时代人们都明白其中的道理。如果公司没有透明度，员工之间也不互相沟通，那么真的会非常痛苦。上一代人习惯他们的方式，但我们这一代人却不一样，”Teran说道。
为了让自己的公司更加高效地运营，Managed by Q最近推出了一款iPhone App，允许自己的员工安排自己的工作，以及未来职业发展方向。
与Managed by Q合作的初创公司很多，但是Managed by Q却和其他公司不一样。因为他们发现与其采用人员外包的方式，倒不如自己雇佣员工，因为这样员工自身更有归属感，也有努力工作的动力，继而帮助公司更上一层楼。目前，该公司一共有175名员工，薪水为每小时12.5美元起，此外，如果员工每周工作30小时，还有其他福利。
Jose Lara是Managed by Q公司的一名监管员，她表示福利可以激发优秀人才的工作动力。“如果来Managed by Q公司工作的人能够比其他地方拿的工资更高，那么他们肯定会非常开心，而那些表现优秀的员工还能得到其他福利，他们将感到更加高兴，”她说道。
Managed by Q希望在今年年中将服务拓展到纽约以外地区，到目前为止，他们的客户包括Uber，Kickstarter，VaynerMedia，以及Bitly。实际上，公司两位创始人并不希望每次接待个人办公室清洁服务，最终，他们希望可以和办公大楼合作，因为这样就能把他们的服务和租办公楼的创业公司捆绑在一起了。
来源：快鲤鱼
Outbound：帮助企业通过电子邮件和移动设备向客户发消息
随着移动革命的来临，无论客户身处何地，企业都需要与他们建立联系，这便需要企业在电子邮件之外寻找一种新的营销手段。Outbound 是一家获得 Y Combinator 投资的创业公司，希望可以帮助营销人员开展新形式的营销活动，而不是仅限于“打开页面和点击链接”。为此，Outbound 将帮助营销人员借助于专门针对移动设备优化的手段，比如说推送通知、短信、甚至是应用内消息，最终与客户建立联系。
Outbound 的联合创始人 德鲁维卡兰·梅赫塔（Dhruvkaran Mehta）和 乔什·维斯伯格（Josh Weissburg）在实际的工作中曾遭遇过上述问题。两人此前在一家名为 Getaround 的汽车分享公司共事，维斯伯格专注于解决与用户互动的问题，而梅赫塔则作为工程师参与推动用户增长的项目。
维斯伯格解释说，他在 Getaround 面临的一大挑战是，如何说服在 Getaround 注册的车主完成创建个人简介的过程。由于步骤十分复杂，有些车主留下的信息并不全面。在这种情况下，他需要与这些客户取得联系，无论他们当时身处何方——无论在网上或是在外办事——鼓励他们采取下一步行动，完成个人简介的创建过程。
据维斯伯格介绍，创建这种针对性营销活动，与各行各业的客户建立接触，从工程学角度讲是一件非常痛苦的事情。但正是由于这种经历，维斯伯格和梅赫塔才有了开发一款新产品的想法，让非技术人员（如市场营销人员）更轻松地发出针对性消息，然后了解哪些消息管用，哪些消息不管用。
2013 年夏天，两人开始打造一项服务（即 Outbound 的前身），不仅允许营销人员实现营销活动自动化，而且还能基于具体的触发机制向用户发送信息，同时还针对自身和控制组发起多个营销测试活动。
梅赫塔解释说：“随着企业意识到人们向移动设备的转移，而他们的大部分收入也来自于移动领域，他们必须要开始与这些受众进行互动，让这些人总是留在自己的移动产品上。但现实情况是，许多适用于电子邮件的技术真的不适合推送通知…我们认为，从根本上讲，即便发送的消息数量更少，但只要质量更高，企业仍可以赚到更多钱。”
这就是说，企业需要一种解决方案，这种方案不仅在有关营销自动化的问题上，将移动当作“一等公民”，而且还能帮助企业发现哪种是覆盖这些受众的最佳方案，然后分析他们的任务是否得到满足。
例如，使用 Outbound 服务的企业不需要让客户打开电子邮件并点击链接，而是试图让客户填写完整的个人简介，增加支付信息，完成注册流程，填写缺失的信息，对帐号进行升级等等。
有了 Outbound 的服务，营销部门人员就不需要坐下来就创建消息平台的问题，与公司工程团队进行长时间讨论，或是诉诸于昂贵的营销自动化软件——这种软件也不能满足他们多渠道战略的需要。相反，营销人员可以上网登录 Outbound 的网站，立即开始创建他们想要的营销活动，填写相关信息，包括他们希望用户做什么以获得回报，以及希望以哪种方式（如推送、电子邮件和短信）与这些用户建立联系。
在举办了营销活动以后，营销人员还可以在 Outbound 网站上实时了解活动效果，以及追踪历史数据和趋势。
Outbound 在 2014 年夏天最早推出了这种服务，但当时它更多专注于渠道消息。今年早些时候，Outbound 进一步扩大了服务范围，开始支持更复杂的逻辑和 A/B 测试。根据客户规模的不同，Outbound 的服务价格最低为每个月 149 美元（向 2000 活跃用户发信息），最高为每个月 899 美元（向 3 万活跃用户发信息）。（Outbound 的服务价格根据客户需要送达信息的活跃用户数量而定，而不是基于发送的消息条数。）
到目前为止，Outbound 已与 16 家公司建立了合作，其客户的业务主要涉及教育、金融服务和卫生保健等领域，其中包括 HealthLoop、uBiome、eTherapi、GetSmarter 和 Omada Health 等公司。
Outbound 总部设在旧金山，目前获得了 150 万美元的融资，除了 Y Combinator，投资方还包括 Subtraction Capital 的保罗·威拉德（Paul Willard）、InterWest Partners 的道格·佩珀（Doug Pepper）、Correlation Ventures 的特雷沃·基恩兹勒（Trevor Kienzle）以及 YCombinator 的加里·谭（Garry Tan）和亚历克西斯·欧海宁 （Alexis Ohanian）等。
YC-Backed Outbound Helps Businesses Message Customers Over Both Email And Mobile
With the shift to mobile devices, businesses today have a need to reach their customers wherever they are – and that includes marketing to their customers outside of email alone. A Y Combinator-backed startup called Outbound wants to help today’s marketers run campaigns that go beyond just tracking “opens and clicks,” and can also reach customers using mobile-friendly channels like push notifications, SMS and even in-app messages.
The problem is something with which Outbound’s co-founders, Dhruvkaran Mehta and Josh Weissburg, are personally familiar. The two previously worked together at the car-sharing companyGetaround, where Weissburg was focused on activation and Mehta was the engineer who worked on growth alongside him.
At Getaround, one of the challenges Weissburg faced was getting car owners who were listing their vehicles on the service to finish the process of creating their profile, he explains. People would get stuck on different steps and would just drop off. He then needed to be able to reach these particular customers wherever they were at the time – on the web or on mobile, for example – and encourage them to take the next action needed to complete the process.
Setting up these targeted campaigns to reach the customers in question across the various channels was a huge pain on the engineering side, says Weissburg. But the experience gave them the idea to build a product that would make it easier for non-technical people – like marketers – to more easily send out these sorts messages, and figure out what works and what doesn’t.
In summer 2013, the two began building what has now become Outbound, a service that not only lets marketers automate campaigns and send out messages to users based on specific triggers, but also test multiple campaigns against each other and a control group, among other things.
“As businesses realize that populations are moving mobile and most of their revenue is coming from there, they need to start engaging those audiences and keep people coming back to their mobile properties,” Mehta explains. “But what happens is that a lot of the techniques that apply to email are not really applicable to push notifications…We believe, fundamentally, that companies can make more money by sending fewer, but better messages,” he adds.
That is, the businesses need a solution that not only treats mobile as a first-class citizen when it comes to marketing automation, but also helps the business figure out what’s the best means of reaching those customers and then measuring if their goals were met.
Instead of just getting customers to open an email and click a link, for example, a business using Outbound may be trying to get users to complete a profile, add payment information, finish a sign-up process, fill in missing information, upgrade an account, and so on.
With Outbound’s service, marketers don’t have to sit down and have lengthy conversations with their company’s engineering team to build out their messaging platform, or turn to sometimes expensive marketing automation software that can fail to address their need for a multi-channel strategy. Instead, marketers can go online to Outbound’s website to start immediately creating their desired campaign, including information like what user actions will kick it off, what they want users to do in return, and how (e.g. push, email, SMS) they want to reach those users.
The service then returns a “to do” list customers can bring to their developers that tells them the exact API calls to make. Or, in the case of those who are already sending their data to the online hub at Segment.com, using Outbound is only a matter of toggling a switch to turn it on.
After the campaigns are running, marketers can watch the results in real-time on Outbound’s online dashboard, as well as track historical data and trends.
The company first launched its service publicly in summer 2014, at which time it was focused more on funnel messages. Earlier this year, however, it expanded to include support for more sophisticated logic and A/B testing. Pricing for the service ranges from $149/month (2,000 active users) to $899/month (30,000 users) depending on company size. (The pricing is based on the number of active users being messaged, but not how many messages are sent out.)
Today, Outbound is working with 16 companies including those in the educational space, financial services, and healthcare in particular. Some of its customers include HealthLoop, uBiome, eTherapi, GetSmarter, and Omada Health, to name a few.
San Francisco-based Outbound is backed by $1.5 million in funding from Y Combinator, Paul Willard of Subtraction Capital, Doug Pepper of InterWest Partners, Trevor Kienzle from Correlation Ventures, plus YC’s Garry Tan and Alexis Ohanian.
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2015年03月09日
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云服务提供商Salesforce推出新玩法，促进预测营销
现在对于营销来说重要的已经不是客户在做什么了，而是客户下一步想做什么。这正是客户关系管理服务商Salesforce推出新服务的理念所在。
昨天，客户关系管理服务商Salesforce营销云服务推出了先期客户满意度的升级版：预测性决策(Predictive Decisions)。
该功能会检查一个匿名或已知客户的喜好，分析客户互动的轨迹，然后提供推荐内容和产品，或通过网站和电邮提供实时推荐。
“以前，信息和内容必须从第三方资源获得，”家具零售商Room & Board的网络客户体验主管Kimberly Ruthenbeck说，该公司使用了Salesforce的营销云服务。
她说，现在预测性决策功能让收集用户行为信息变得更容易了，因为信息和内容会实时传到平台上。另外，个性化过程是自动的。
通过电子渠道客户会获得定制的店内销售体验。当客户选择或拒绝推荐时，预测性决策会自动更新客户资料以反映这些喜好。
“过去营销人员对于使用预测性营销很挣扎，”Salesforce的产品营销副总裁Gordon Evans说。
现在，对于一位两周前买了一套灰色沙发的30多岁女性顾客，Room & Board的营销渠道能更容易地自动表示她可能会对一个刚上架的黑色枕头感兴趣。
Evans称新一代的预测营销要解决几个关键问题，包括传送多个来源客户信息的难题，新品推出的内容更新，以及在所用渠道和顾客旅程中的个性化推荐。
Salesforce以前营销云服务上的预测营销重点关注网站。“我们正在做的是把服务扩张到电邮和其他途径，让它使用起来更容易。”
对于卖家来说，事先知道顾客想要买什么很重要。Salesforce称新的预测功能可以让网站收入提高10%，转化率提高25%。
当然，如今“预测性”成了营销的一个常见修饰语，许多平台都宣称他们能提供产品推荐。Evans表示新功能与众不同，因为它是营销云服务原创的，顾客信息、新内容和推荐将实时传送到所有渠道。
“顾客与公司互动时想要相关的经验，”Salesforce咨询合作方Bluewolf的首席运营官Corinne Sklar说。
“预测性分析是通向智能新体验的入口，这种体验将彰显品牌和促进客户忠诚度。”她又表示Bluewolf最近关于Salesforce的报告发现后者将近四分之三的客户将增加在分析上的投资，以促成“有意义的顾客时刻”。
【文章来源VB，编译：菜蚁，首发钛媒体】
Salesforce pumps up its anticipatory marketing with new Predictive Decisions
It’s no longer just about what the customer does. It’s becoming more about what the customer wants to do next.
That’s the idea behind Predictive Decisions, the new level of preemptive customer satisfaction launched today on Salesforce’s Marketing Cloud.
It looks at an anonymous or known customer’s preferences, analyzes the trail of customer interactions, and then offers recommended content, products, or offers in real time across such channels as websites and email.
“Before, data and content had to be pulled from third party sources,” Kimberly Ruthenbeck told me via email. She’s director of web customer experience at furniture retailer Room & Board, which uses the Salesforce Marketing Cloud.
Now, she said, Predictive Decisions makes it “much easier for us to implement the collection of user behavior” because data and content are streaming in real time into the platform. Plus, she noted, the personalization process is automated.
The customer gets a more “customized, in-store sales experience” across digital channels, she said. When the customer chooses — or rejects — the recommendations, Predictive Decisions automatically updates customer profiles to reflect those preferences.
“Marketers were struggling to use predictive marketing,” Salesforce VP of product marketing Gordon Evans told me.
Now, he said, it’s easier for Room & Board’s marketing channels to automatically suggest that a mid-30s woman who bought a gray sofa two weeks ago might be interested in a new black pillow that was just added to the catalog.
He said this new generation of the company’s predictive marketing required addressing several key challenges — including the difficulty of streaming multiple sources of customer data, content updates like new products, and the resulting personalized recommendations across all channels and across the entire customer journey.
The previous generation of predictive marketing on Marketing Cloud focused on websites, he said. “What we’re doing is expanding that into email and the rest of the channels, and making it easier to use.”
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