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There are approximately 22 million trucks in the US. Many of these trucks run software to track the location of the vehicle, manage inventory, and comply with regulation. There are two SaaS companies operating at greater than $100M in ARR in the space and they illustrate one of the mantras on this blog: there are many different ways to build a SaaS company.
Back in 2010, on a Monday at 5 PM, I found myself at a bar called Memphis in Southern California in a heated discussion with two close friends. Patrick Vlaskovits was cheerfully drinking a mint julep while Sean Ellis and I were each enjoying a cold beer. At the time, Patrick was working on a startup and a book. Sean was advising a handful of high-growth tech startups including Dropbox, Eventbrite and my own company, KISSmetrics.
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.
Sales enablement is a rapidly emerging, but immature function. Many companies are investing in the creation of sales enablement teams, but as they’re so new, there’s a distinct lack of thought leadership, standardised measurement and best practices available. Subsequently, people often (and understandably) struggle to fully grasp the function. This fuels ambiguity about what sales enablement is and the value it creates for a business.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
I’ll admit it. Over my long career marketing all kinds of technology solutions, I’ve run a few marketing campaigns that flopped: events that attracted no real prospects, email campaigns that generated no serious leads, promotions that drew no response from prospective customers. It happens. And I’m pretty sure that I’m not alone among my marketing brethren.
I’ll admit it. Over my long career marketing all kinds of technology solutions, I’ve run a few marketing campaigns that flopped: events that attracted no real prospects, email campaigns that generated no serious leads, promotions that drew no response from prospective customers. It happens. And I’m pretty sure that I’m not alone among my marketing brethren.
A founder asked me recently if a dead zone in ACVs (average contract value) exist around the $10k price point. Yesterday, I listened to a podcast in which an executive asserted that infrastructure software priced lower than $250k in ACV threatens the viability of the company. What does the data show? I’ve plotted the distribution of ACV at IPO for all public software companies.
Positioned for Continued Growth and Market Leadership: riskmethods Receives an Additional 13.5 Million Euro Growth Capital. By Businesswire , April 26, 2017 08:00 AM. Digital+ Partners leads Series-B financing. Previous investors, EQT Ventures, Senovo and Bayern Kapital all co-funded the round. MUNICH & BOSTON–(BUSINESS WIRE)–riskmethods, the leading provider of solutions to identify, assess, and mitigate global supply chain risk, has successfully completed its Series-B financing
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.
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.
Speaker: Pete Uselman, Director of Partner Experience at Wind River Payments
Most integrated payments providers share a percent of the payment revenue with their software partners. But, oftentimes, that revenue share is only a fraction of the true income potential software providers can realize. If you want to maximize income opportunities from your payments program, check out Wind River Payments’ webinar-on-demand.
We were aware the spend hours for a single acquisition or advertising report sort of a waste time, instead you might use that time for different purposes. That’s why now you can create any kind of advertising report based on your needs. Therefore you are able to create your own dashboards based on your KPI’s as well. Monitor performance of campaigns in a single dashboard, and any data can be layered with other sources like Stripe, Intercom and Google Analytics for a deeper understanding of campa
At a recent board meeting, a CEO said, “This experiment will cost $250,000 to run. After three months, we will know whether our new go-to-market strategy is viable.” There’s a brilliance this type of framing. By quantifying the cost of the experiment, the CEO frames company prioritization as asset allocation. What is asset allocation?
5 Münchner Start-ups, die wir definitiv im Auge behalten. by Alexander Hüsing, Thuesday, 4. April 2017. München ist immer eine Start-up-Reise weit. In der Isar-Metropole tummeln sich einige große und bekannte junge Digitalunternehmen. Einige haben aber noch mehr Aufmerksamkeit verdienst. Hier deswegen einmal 5 junge und ältere Münchner Start-ups, die wir definitiv im Auge behalten. .
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Earlier this month Ixia announced an update to its CloudLens product where it could now provide visibility into public clouds. Ixia wasn’t the first packet broker vendors to roll out a solution that extends the visibility infrastructure to the cloud. That honor goes to Gigamon, which announced the general availability of its visibility platform for Amazon Web Services.
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.
Steli recently gave an interview at the NYC Enterprise Sales Forum, a community for B2B sales professionals involved in complex sales cycles. Whether you’re doing enterprise sales or not, you'll still get value out of listening.
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.
For SaaS businesses, improving retention is one of the easiest and most effective ways to drive revenue and profits. With a clear link between failed payments and customer churn, having a robust failed payment recovery solution isn’t optional—it’s essential. Achieving your retention goals starts with the right solution.
Instead of raising an equity round, a startup might choose to borrow money - and for good reason. Venture debt dilutes founders much less than equity rounds. Low interest rates have increased the attractiveness of venture debt, because the cost to borrow is low. Venture debt is an attractive financial product. No wonder it has grown in popularity by 16x in the in the last six years.
My algorithm is better than yours. My algorithm performs better on the precision/recall tradeoffs. It surfaces fewer false positives. It converges to an answer faster. Perhaps it requires a bit less data. Those statements might all be true. But none of these advantages confer a competitive sales advantage in the market. They aren’t technology innovations leading to a go-to-market advantage.
At SaaStr earlier this year, I spoke about the huge potential of machine learning in SaaS. In that talk, I broke down some of the advances in ML that might be useful for software companies. In the discussion that ensued, I stressed the importance of not letting the technology obfuscate the value proposition of the software. Yes, ML is a huge step forward, but it’s not enough by itself.
After a startup establishes product market fit, scaling demand generation becomes the the next major challenge. Doubling or tripling ARR each year for several consecutive years is not easy. The best marketers create a demand generation portfolio. There are four axes to measure this portfolio: scale of investment, sophistication, breadth and potential.
Simplify omnichannel payments with a solution that unifies every channel through your platform. By integrating front-end systems like online, mobile, and in-store payments with robust back-end infrastructure, you can deliver a seamless payments experience without the need for heavy engineering. Omnitoken technology enhances security by tokenizing card transactions for reuse, enabling merchants to drive cross-selling opportunities.
There’s no quicker way to lose a user or buyer of your software than to lose their trust. The software didn’t save my data. The database suffered corruption. The website is down frequently. Data integrity is a challenge every company storing data faces. Machine learning SaaS startups face another trust risk – one introduced by probability.
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.
Here’s a simple truth: The world has too many mediocre salespeople, and not enough great ones. Which makes hiring the great ones really, really difficult.
“One difference between the Top 10% and the Top 1% is the very top are extremely efficient with their time.” — Jason Lemkin, SaaStr Ever struggle to turn inspiration into action?
Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng
You’ve put yourself in an enviable position as a salesperson. Over the course of several weeks or months you’ve worked hard to qualify a prospect, familiarize him with your product and build a relationship.
Companies purchase sales software primarily with strategy in mind. They want to collect data that will help inform the business’ evolving strategy and drive long-term growth.
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