We are beginning to see a new era of 'smart software' unfold in the B2B SaaS landscape. More and more SaaS players are adding generative AI capabilities as the next layer of value for their products.
To help you stay up-to-date with the changes in the industry, I curated a Google Sheet featuring 30+ B2B SaaS companies that have recently launched or announced generative AI products or integrations. Among these companies are industry giants like Salesforce, HubSpot, and ThoughtSpot, which have recently released versions of their ChatGPT-like products. I’ll be updating this sheet every week.
Implementing SEO best practices can help improve your website's search engine visibility and attract more visitors. Among these best practices are; focusing on user experience, optimizing on-page content, and building high-quality backlinks. In addition, avoiding pitfalls like overusing keywords and ignoring mobile optimization will ensure your company provides valuable content to your audience that gets discovered.
Tracking B2B marketing metrics throughout your customer's buying journey allows you to get a complete picture of how well your marketing strategies perform. From the top of the funnel KPIs to customer retention, this article walks you through 17 metrics that help you make better data-driven decisions when optimizing your marketing efforts.
Microsoft and Google recently showcased their AI-enabled productivity suites, with Microsoft introducing the Copilot System and Business Chat. Ultimately, Microsoft's strategy encourages an intercompany network effect, driving the re-bundling of software and reducing information fragmentation within organizations. I’m curious how this will impact B2B SaaS founders: does this pose a challenge for SaaS companies that need to work around, within, or alongside integrated ecosystems?
This article explores a few very interesting questions about the different layers of the AI stack, including base models, AI middleware, and AI-native applications. Specifically, will the integration of AI in existing businesses create new AI-native applications or simply enhance existing platforms? This an interesting question to explore as more and more B2B SaaS companies launch generative AI capabilities.
There is a lot of buzz around generative AI for marketing and sales, but how about for customer success teams? This article offers practical tips and examples of how Customer Success reps can use generative AI chatbots like ChatGPT to streamline and enhance customer success tasks. A few of these tasks include email content generation, customer and market research, and video/phone scripting.
TrustCloud's successful launch of its 'Starter' platform highlights the potential of product-led growth (PLG) as a growth lever for SaaS founders, especially in a compliance-based market. The company’s go-to-market strategy focused on making the solution easy to understand and access, addressing any skepticism the leadership and sales teams may have.
By using onboarding calls to build relationships and create a rapid feedback loop for product and design improvements, TrustCloud was able to quickly gain trust within prospective companies. Users who were onboarded then reached an ‘aha’ moment and went back to the leadership team to advocate for TrustCloud.
In this article, Dave doesn’t dive into all the details of the SVB situation. Instead, he points to some of the best explainer articles he found. If you are looking to dive deeper into the series of events that unfolded around SVB, I recommend checking out the list of articles Dave mentions. (Also, I would add [Janelle Teng’s (https://nextbigteng.substack.com/p/retroactive-predictability-of-2023s) article to your reading list as well.)
Silicon Valley Bank's collapse has led to uncertainty among startups. Now, achieving financial stability and security is top of mind for SaaS founders. One way to do this is to maintain relationships with two different banks, which offers redundancy, flexibility, and the ability to transfer funds quickly (in case of a bank run). Dive into a handful of other recommended best practices around banking for startups.
A lengthy article but an absolute must-read! This article dives into the history of the system of record software category (think Salesforce, Oracle, Workday) and the evolution of how it expanded within an organization’s technology stack. Using Salesforce as an example, these SORs are now creating a unified customer data platform that removes the need for multiple tools and data silos. They are incentivizing companies to consolidate around one data source by adding an AI application layer that could enhance a business’ workflow.
Salesforce has announced the pilot of its 'Einstein GPT' technology, a generative AI push aimed at bringing ChatGPT-like features across the platform. For example, customer service agents can leverage AI-generated draft replies for faster responses, while sales teams can benefit from AI-driven emails and CRM record updates. Overall, Einstein GPT has the potential to provide a competitive edge to SaaS founders by optimizing key business operations.
In today's fast-paced marketing landscape, juggling numerous daily tasks and campaigns can overwhelm marketers. This article curates a comprehensive list of 30 bots (or workflow co-pilots) designed to automate various aspects of the marketing process.
If you're looking for your next growth strategy, we got you covered. In this article, we curated a list of the best B2B SaaS growth stories that showcase how seven companies achieved explosive growth.
From leveraging pricing and packaging to optimizing their product-led growth motion, these featured SaaS companies found creative ways to scale their businesses. So sharpen your pencils and get ready to learn from the best.
In case you missed last week’s SaaS Weekly Growth Story. In this article, we spoke with Prem Kumar, the CEO, and co-founder of Humanly.io to learn how B2B SaaS founders can leverage efficiency in their go-to-market strategy.
Here are the key takeaways from our conversation. 1) Frame your product messaging through the lens of Maslow’s Hierarchy of Needs. 2) Use your product’s data and analytics to establish your company as a thought leader in your industry. 3) Build a partnership channel to help scale pipeline generation and improve your product’s stickiness.
In 2022, what programming skill was in the highest demand by employers? The answer: Ruby on Rails. Discover more insights and trends from Hired’s State Of Software Engineers report that analyzed recruiting data throughout 2022. You can find the link to the report [here](https://pages.hired.email/rs/289-SIY-439/images/Hired_2023%20State%20of%20Software%20Engineers.pdf).
