超高速增长买不来:Atlassian 前营销一号位谈产品、口碑和选对下一家公司

原标题Riding the Lightning: What Hypergrowth Companies Share, According to Atlassian's Former Marketing Chief

Carilu Dietrich 用 Atlassian 和一批 B2B 高增长公司的经历,讲怎么选雇主、怎么做品牌,以及为什么大的增长动作必须是全公司战略。

CDCarilu Dietrich嘉宾
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Atlassian 前营销负责人 Carilu Dietrich 认为,超高速增长靠的是人们热爱的产品、自带的口碑,以及已经见过下一阶段规模的领导者。她还讲了怎么挑会赢的雇主、广告为什么救不了差产品、以及 CMO 和 CPO 为什么经常被炒掉。核心判断是:增长杠杆是战略问题,不是某个部门的 KPI。

  1. 1超高速增长买不来Dietrich 说你需要人们热爱的产品、自然流入的口碑,以及能跟上公司在几年内连跳几个规模阶段的领导者。ChatGPT 之所以极端,是因为人们真的想用。
  2. 2先选公司,再选岗位她在 Oracle 带团队五年,人数从五人长到七人;在 Atlassian 四年,从 15 人长到 100 人。公司动量决定了你能多快拿到更高一层的经验。
  3. 3广告只会放大产品,救不了产品Oracle 持续砸红条广告提高了识别度,但糟糕的销售体验仍伤品牌;HipChat 的《Office Space》恶搞也挡不住宕机和功能差距,Slack 照样跑在前面。
  4. 4Atlassian 把本该花在销售上的钱,砸进了研发对标同业时,它的销售营销支出最低、产品支出最高,研发大约是别人的两到三倍,做出能自己卖出去的产品。
  5. 5大的增长杠杆是战略问题,不是部门问题上探企业、出海、加渠道,只有产品、营销、销售、支持和调研一起朝同一方向走,才会真的打开新通道。
  6. 6捆绑不适合产品驱动的首次成交Atlassian 试过多产品入门包,转化变慢,后来改回用一个产品大约七天落地,再做扩展。数据实验比播客上的高见更可靠。
全文

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01

走到 C 级要多干活、懂财务,还得去别的部门转一圈

Dietrich begins by saying the executive track is not for everyone, because it demands trade-offs against family, hobbies and other passions. When she decided early on that she wanted to be a CMO, she worked two hours later than her colleagues every day, reasoning that this added up to years of extra experience. She volunteered to run a product beta and do release engineering after a product head left before a major launch, which taught her how other departments worked.

She argues there are no shortcuts to knowing a lot, and cites VC Tomasz Tunguz, who woke at 5 or 6 AM to write several blog posts a week for ten years. Beyond personal effort, she lists five things to get right: tie your responsibilities to revenue, learn to speak the language of the CEO and board, take tours of duty in other functions, build strong relationships by doing good work and helping people, and choose strong companies.

The last point matters most for speed. At Oracle her team grew from five to seven over five years, while at Atlassian it grew from 15 to 100 in four. She also notes that great companies bring you great colleagues: she landed at Atlassian because she had worked twice before for its president, Jay Simons.

02

早期很难看清谁会赢,能看到数字时就用一张清单筛

Asked how to spot the next big company, Dietrich calls it the billion-dollar question. After Atlassian she worked at Classy, which was acquired by GoFundMe and was fine but no Atlassian, and she spent five years working out how to pick the next one. Early in a career, she says, the simplest route is to go after big, high-momentum names such as Tesla, AWS, Salesforce or OpenAI, and to keep applying year after year if you have to.

Later in a career she prefers later-stage companies because their momentum is easier to read. Her Post-it checklist covers the Rule of 40, the quality and recency of investors, Net Promoter Score, net dollar retention, growth and burn rate, whether the company leads its market in analyst rankings, and its Glassdoor reviews. She points to Snowflake's net dollar retention of well over 100 percent as the benchmark for a healthy business, since existing customers alone nearly doubled revenue.

Her other Post-its work as a small life philosophy: "More Yoda, less Wonder Woman" means asking better questions, "Hell yes or no" filters opportunities by the energy they give you, and "Worrying is wasted energy" turns fear into a list of what you can control.

03

下行周期是攒价值的窗口,前提是不将就、也不丢掉耐力

For people out of work, Dietrich says the market is tough and supply is high, so endurance and grit matter. The best executives she knows have had down periods or been fired, and what they share is that they got back in the ring. She also warns against taking a bad job or company, since each logo prepares you for the next role.

She describes chasing waves in her own career, moving from nonprofit work into tech, then B2B, SaaS, dev tools and collaboration, and now AI. Citing *The Millionaire Next Door*, she notes that industry choice matters: the best antique store makes a profit of one or two percent while the worst software companies can make far more. Her formula is to work your network, stick with it, and keep growing your skills.

For people who still have jobs, she says some of her biggest career growth came in downturns such as 2008, because others take their foot off the gas. With fewer people hired, there are open projects to raise your hand for. The catch is that you should not fixate on title and salary now, since you are building value to monetize on the other side.

04

品牌广告只在好产品之上有效,而且必须长期一致

Dietrich says she has spent hundreds of millions of dollars on awareness advertising. At Oracle that meant airports, the front page of the Wall Street Journal, the back page of The Economist, Iron Man sponsorships and arena deals, and at Atlassian a few million dollars on campaigns for Jira and HipChat. Her advice to founders is that product quality comes first: Oracle spent heavily and was still disliked by many people because of bad sales experiences and a stagnant product.

Good brand advertising must also be sustained. Oracle's boring red-bar template made it memorable, and market tests showed two to ten times more people recognized the brand without the logo than recognized competitors such as SAP or IBM. Snowflake is credited with heavy advertising, she says, but for many years it was a single billboard on Highway 101, which was consistent and strategic.

Atlassian's HipChat campaign, an *Office Space* spoof, did not help because the product had uptime and feature problems and Slack pulled ahead. The advertising only amplifies the product experience. The ads she remembers most have a twist of humor or truth, and many of her favorites, like New Relic's data nerd campaign or Salesforce's customer features, put customers at the center.

05

超高速增长要三件事:被爱的产品、会传染的口碑、见过下一阶段的人

Asked what the fast-growing companies she advises have in common, Dietrich names three things. First is an amazing product people love, with ChatGPT as the most hypergrowth product ever. Second is organic, inbound and viral word of mouth, since you cannot pay enough to grow at those rates and stay viable. Third is "riding the lightning": these companies jump from 10 to 50 to 100 to 200 people so quickly that they need to hire leaders who have already seen the next stage.

She gives examples of products that spread naturally. Whiteboards were the most uploaded asset in Jira before Miro, and one person using Miro invites others onto the board. She has used 1Password for over a decade, from work to a family plan, and she became an advisor to Productboard after seeing a 1Password executive roll it out company-wide.

Founders without viral growth should not despair. Dietrich says it never felt easy at Atlassian, and the work was a slog of new features, customer listening and strong SEO. SEO was the number one marketing motion, and paid search generated roughly 15 to 25 percent of leads. Hypergrowth, she says, is consistency, customer obsession and incremental improvements, not a magic bullet.

06

口碑来自对的人、对的内容和对的社区

To accelerate word of mouth, Dietrich recommends first empowering people inside the company to be thought leaders. Atlassian's founders were on developer boards early, and CEO Scott Farquhar was still taking part in dev forums when the company was around 150 to 200 million in revenue, before it created evangelist roles. She sees the same pattern at Weights & Biases, where technical staff write and engage with the community, and at HubSpot with its helpful content and certifications.

The second ingredient is a strong content strategy, often inside existing online and open source communities. The third is building your own community, because no one sells your product better than happy customers. She recalls events where customers and prospects were mixed so that customers spoke to each other, and Atlassian's user groups, where the company simply paid for beer and pizza and local leaders ran the meetups.

Lenny adds that the Gusto founder sat with the first 200 customers as they ran payroll, and Dietrich agrees this is the secret sauce: build processes that do not scale first. She warns that insight into customers' daily struggles gets harder as companies grow and product managers see only administrators or a few users.

07

Atlassian 把销售预算倒进产品,但多数公司必须让销售和产品驱动共存

Atlassian was unusual because its founders never took outside money apart from one late financing to give early employees liquidity, so no investors could overrule them. They redirected what would have been a sales budget into engineering and product. Dietrich shows a chart in which Atlassian had the lowest sales and marketing spend and the highest product spend among peers, and notes that the ratio still held in 2020.

Sales is the most expensive vehicle, she says, so the Atlassian model sold mainly to existing customers, helping with renewals and later enterprise deals, and rarely prospected for new ones. Most companies cannot copy this because investors expect accelerating growth and believe adding sales reps adds predictable revenue. The shift toward account-based marketing and intent signals tries to engage salespeople only with likely buyers. At Airtable and Miro, sales steps in after a threshold of users is already paying, sometimes 20 to 40 people at an account.

Her advice is to read the signals. If customers can get value within days, product-led growth works, and developers in particular dislike salespeople and like to research. If the product needs customization or the buyers do not buy online, sales is needed, though hiring too early is a drain. She likes a hybrid in which sales development reps become sales engineers who guide trial users, and Lenny notes that Retool had to go sales-led because customers needed hand-holding.

08

大的增长转向若被当成一个部门的事,多半会失败,CMO 也因此被炒

The main growth levers are consistent across companies: add a product, add a segment or vertical, go global, or add a channel such as partners. Dietrich says none of these can be a single department's goal. Moving upmarket requires marketing leads, product roadmap features, customer research, support staff who understand enterprises and salespeople who sell differently. When leads fall short, marketing or sales gets blamed, but it is usually a company strategy problem.

The change can come from the CEO or from the whole C-suite. With first-time founder CEOs, a junior marketer may not be believed, and an outside advisor can confirm the issue and help set company OKRs. At larger companies a seasoned CMO or head of engineering has the social capital to push back, for example to ask for time to address technical debt.

CMOs mostly get fired, she says, because they are not focused enough on revenue, and CEOs feel they lack a partner who knows what drives it. Marketing is a big spend category where much of the money does not convert within a quarter or even a year, so CMOs need strong metrics, solid predictions and the ability to talk like the CEO and board. She believes chief product officers face a similar fate because both are strategy jobs with results that are hard to measure, and she describes a CFO who got a CPO fired and then saw his own plan fail.

09

捆绑适合销售驱动,却伤害产品驱动的首次落地,测试比观点管用

Asked about bundling, Dietrich says that in her view companies move from one product to many to diversify revenue, sell into a friendly base and expand their addressable market toward a billion dollars, so bundling is a valid growth strategy. But for product-led companies it is a poor land strategy, and Atlassian's bundled entry offers slowed the motion, so it returned to landing with a single high-velocity product.

The reason is that a customer evaluating several products cannot buy quickly online. Someone who needs issue tracking can try Jira and be ready in about seven days, while a bundle of Jira, Confluence and HipChat adds questions and leads to fewer conversions. On competing with an all-in-one such as Microsoft, she says the best-of-breed approach works only if the product is so much better that it justifies the extra cost, especially as CFOs squeeze budgets.

She closes the point with the secret of product-led growth: you can test it. Atlassian tried bundles, no bundles, different bundle contents and different trial lengths, and she says data-led insights beat any pundit on a podcast.

10

她最喜欢的面试题是:你炒过多少人

In the lightning round Dietrich recommends the Tao Te Ching in the Stephen Mitchell translation and *Never Split the Difference*, a negotiation book by a former CIA hostage negotiator. Its lesson for her is to get so deep into the other person's shoes that you can find a win for both sides. She links this to *How to Win Friends and Influence People*, which makes the same point that people want you to think about them.

Her favorite interview question is "How many people have you fired, and tell me about each experience?" Because she mostly hires managers of managers, how many people someone has fired shows how long and how widely they have managed. How candidates talk about layoffs, performance exits and restructures reveals their compassion and how they act under pressure.

She also admires the Amazon practice of writing the press release first, because it avoids handing marketing a "bag of doorknobs" when customers want the door. She advises meditators to stick with it, use guided sessions and accept there is no right way, and says she would love to work with more AI scale-ups through her blog at carilu.com or LinkedIn.

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