Sat.Apr 01, 2017 - Fri.Apr 07, 2017

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Why startups should hire an HR person sooner rather than later

The Angel VC

At the excellent SaaStr Annual 2016 conference about a year ago, a very experienced SaaS CEO said on stage that an internal recruiter can be a startup CEO’s secret superpower. I couldn’t agree more, and I think startups should make that hire sooner rather than later. If you can hire only one or two handful of people with your seed round, hiring anybody who doesn’t either code or sell is hard to justify.

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Startup Best Practices 25 - Bounding the Unknown Unknowns

Tom Tunguz

Intel’s Business Plan. Every once in a while, I receive a FedEx from an entrepreneur I haven’t met. Inevitably, this mail contains a modern rarity - a business plan. Ten to twenty pages describing the idea, the genesis, the business model, the team and its structure, customer acquisition strategy, sales model and other key details of the business.

Startup 128
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Why Every Saas Company Should Try Concierge Onboarding

Sujan Patel

Selling a SaaS product is HARD. I know – I’ve been there – both as a buyer and a seller. Consumers are spoiled by having so many choices, and getting noticed among the competition is really tough. Even if you get someone to visit your site and try out your product, the battle has only […]. The post Why Every Saas Company Should Try Concierge Onboarding appeared first on Sujan Patel.

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3 surprisingly easy inside sales methods used by the pros

CloseSaaS

“Sign this contract RIGHT now!” “You need this product more than you need AIR!” “Buy. Buy. Buy. Buy. Buy!!!!” That’s how many sales professionals come off when they’re talking to prospects.

Sales 52
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Struggling to Scale Test Coverage Under Pressure?

When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.

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3 Major Recommendation Algorithm Mistakes Fortune 500 Companies Make

ReSci

Several recommendation algorithms power email-marketing campaigns as well as on-site product recommendations. With Amazon’s success in driving revenue and engagement from product recommendations, several companies leverage these algorithms to cross-sell/up-sell products to users. The data science team at Retention Science has helped power onsite/app and.

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How You Battle the "Data Wheel of Death" in Growth

Brian Balfour

This is the Data Wheel of Death: Data Isn’t Constantly Maintained -> Data Becomes Irrelevant / Flawed -> People Lose Trust -> They Use Data Less If the above looks familiar, you’re not alone. I estimate that greater than ? of data efforts at companies fail. This is trouble because data plays a key horizontal role in the growth process and mindset.

Data 62
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Top tips for crushing your Demo Day pitch

CloseSaaS

This is it: Demo Day. The day you’ve been waiting for, and the day every moment in your incubator was preparing you for. Are you ready?

Startup 52
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Benchmarking Cloudera's S-1 - How 7 Key SaaS Metrics Stack Up

Tom Tunguz

Cloudera is the second of the Hadoop players to go public. Last week, the company filed their S-1 and revealed a massive business. Cloudera generated $261M in revenue, counts 500 clients and grows those accounts by 43% annually. 18% of their customers run Cloudera software in the cloud, a surprisingly large number. Hortonworks is Cloudera’s chief competitor.

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3 simple steps to sell high-tech products to low-tech buyers

CloseSaaS

You did it. You developed the next great tech product. The features are endless, the benefits innumerable. It’s a game-changer. So you meet with prospect— traditional buyers— and recite all the ways your solution changes everything. You provide diagrams and data.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.