Customer Operations - An Idea For Maximizing Efficient Growth In SaaS Companies
Global versus local maximization

Customer Operations - An Idea For Maximizing Efficient Growth In SaaS Companies

Over the last year in particular, Revenue Ops is a term that’s gaining some mindshare in the SaaS world. Revenue operations teams combine marketing operations and sales operations into one team. Yesterday, I heard time a further refinement of this idea: Customer Operations.

As one SaaS executive described to me, marketing operations teams are the engines of the marketing team. The creative marketing functions produce the fuel – the campaigns, the positioning, the art. The engine, marketing ops teams disseminate these assets. They measure their performance and optimize customer acquisition to maximize return on investment.

Sales operations teams perform analogous work to support salespeople. SalesOps helps salespeople close customers better and faster. Their efforts simplify quote creation, esignature, billing processes, and presentation software, among other things.

There’s one simple rationale for unifying these teams: to optimize the customer journey. Marketing teams and sales teams use different metrics to measure performance. Marketing teams focus on lead generation. Sales teams optimize bookings. But the ultimate goal for both of these teams is to grow the business as quickly and efficiently as possible by providing the best experience to a customer.

To accomplish this goal, a RevOps team defines a canonical set of metrics to measure customer health and sales efficiency.

Consequently, RevOps teams can measure the impact of sales operations experiments on marketing operations and vice versa. Then they can pursue a global optimum, rather than a local maximum. If you’d like to read more about RevOp theory, Radius published an excellent white paper on the topic .

But why stop there? There is another critical component of every SaaS go to market. The Customer Success team. RevOps’ understanding of the customer stops at the sale.

Shouldn’t the data operations team understand long-term customer behavior after the sale? And the impact of upstream optimizations to those metrics ?

That’s the idea behind Customer Operations. Customer Ops provides the software and metrics for the entirety of the customer journey. From first touch to ongoing support and expansion. Such a team measures and optimize customer experience from end-to-end. Also, this team can provide a start up a holistic, data-driven perspective on growth.

At least, that’s the idea. So far, I know of only one company that has implemented this. It’s been very successful. Global optimization is a much better long term strategy than local optimization across three teams.

We’re in the very earliest days of what could be a fundamental reconfiguration of SaaS operations teams. Customer Operations could be very powerful construct for growing companies through end-to-end optimization of the customer journey.


Ali Paksima, MBA

Helping businesses scale up | Start-up Advisor

7 年

I wholeheartedly agree!

回复
Chris Rigatuso

Founder, Advisor, Engineer and Venture Capitalist

7 年

Interesting, first it was functional data silos, then technology to combine and integrate them, and now we have functional ops apps (with their own embedded silos) but APIs to integrate across, Sales ops is somewhat mature, Marketing ops, is new, and Rev ops, on the surface seems to span or confuse the two. If every functional team as their own "ops engine" what is the logical limit (or barrier) to this trend? To some extent the new ops terms appear from the need of new vendors to differentiate their offerings in the marketplace and their growth, awareness and success could have a lasting meme in the industry. So when every functional area has an ops engine, what becomes the role of the COO, or Chief Data Officer or ??

回复
Zaheer Ahmed CA(SA)

Director | Audit & Assurance | ESG Assurance | Growth Strategy | Strategic Selling | Business Development | Commercial Management

7 年
回复
Joey Backs

Sales & Account Management @ Figma | Design & Product Development

7 年

Great article Tomasz. Understanding your customer/user from first touch to the last will be increasingly important. Getting data to support this type of approach has traditionally been hard, but here at Heap we're taking big steps to automate the process and become the customer data hub of our own customers. Our most successful clients are those who take this approach of integrating operations and aggregating data into one place so each component of the business can support and understand the entire customer journey.

回复
回复

要查看或添加评论,请登录

Tomasz Tunguz的更多文章

  • Positioning Startups in the Age of AI

    Positioning Startups in the Age of AI

    How do you position and scale an AI company in a rapidly evolving market? Join us for an in-person Office Hours session…

    2 条评论
  • How Much Is A Venture Firm Worth?

    How Much Is A Venture Firm Worth?

    A small spin-out from a publicly traded behemoth launched with the ambitious vision of transforming their entire…

    5 条评论
  • Why War & Peace Is Killing Your Data Budget

    Why War & Peace Is Killing Your Data Budget

    Imagine if every time you edited a document, the word processor forced you to retype everything that had been written…

    3 条评论
  • A Founder's Guide: Essential Management Advice for Startups

    A Founder's Guide: Essential Management Advice for Startups

    As startups scale, effective management becomes the difference between chaotic growth and sustainable success. After…

    10 条评论
  • Lopsided AI Revenues

    Lopsided AI Revenues

    Which is the best business in AI at the moment? I analyzed Q4 revenue data from publicly traded companies across…

    8 条评论
  • Four Marketing Principles That Redefine Markets from Klaviyo's Former CMO

    Four Marketing Principles That Redefine Markets from Klaviyo's Former CMO

    During a recent Theory Office Hours with Kady Srinivasan, former CMO at Lightspeed Commerce, Dropbox, and Klaviyo, we…

    5 条评论
  • The Complete Guide to SaaS Pricing Strategy

    The Complete Guide to SaaS Pricing Strategy

    Most startups play defense when discussing pricing with customers. They dance between asking for too little, leaving…

    20 条评论
  • What Happened to My Traffic?

    What Happened to My Traffic?

    Chegg filed suit against Google for changes in their algorithm forcing the company to consider a sale. They allege the…

    5 条评论
  • AI Fluency : The Next Interviewing Skill

    AI Fluency : The Next Interviewing Skill

    Algorithms needed for unpredictable journey. Significant compute costs, endless data processing, long periods of…

    8 条评论
  • Auctions in AI : Cost of Capital as a Strategic Advantage

    Auctions in AI : Cost of Capital as a Strategic Advantage

    A decade ago, most startup pitches ended with a calculation justifying the amount they sought to raise. In other words,…

    7 条评论

社区洞察

其他会员也浏览了