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SaaScend

San Francisco, California, United States

2021 Revenue

$3.1M

Funding

$0

Team

37

Founded

2014

SaaScend Revenue (2021)

SaaScend generated $3.1M in revenue in 2021.

SaaScend is an outsourced revenue operations consultancy focused on B2B SaaS companies, advising on tech stack strategy, sales and marketing process design, and go-to-market execution. The firm organizes its advisory work around three ARR growth stages: a foundation stage covering $1M to $5M ARR, a sales efficiency and marketing engine stage covering $5M to $10M ARR, and a full go-to-market optimization stage covering $10M to $100M ARR.

The consultancy's core thesis is that people, process, and data must be aligned before technology is purchased, and that the sequencing of tool investment should follow a company's revenue stage rather than peer recommendations. Phil Rader, speaking at a conference in March 2023, outlined the firm's framework for helping B2B SaaS clients reduce sales cycle length, improve win rates, and increase the percentage of time salespeople spend actually selling.

SaaScend's client base is exclusively B2B SaaS, with deal structures that vary by price point and sales motion, ranging from high-volume, lower-ACV products driven by marketing funnels to larger-ACV software requiring deeper sales investment. Funding, headcount, and revenue figures for SaaScend itself were not discussed in the interview.

Last updated

SaaScend Revenue

In 2021, SaaScend's revenue reached $3.1M.

SaaScend Revenue GrowthReported revenue / ARR over time$0$750K$1.5M$2.3M$3M$3.8M20142015201620172018201920202021$0$3.1MSource: GetLatka.com interview on Mar 17, 2023 with Phil Rader
YearMilestoneSource
2021SaaScend Hit $3.1m revenue in April 2021Not recorded
2014Launched with $0 revenue

SaaScend Valuation, Funding Rounds

Explore the complete funding history and valuation milestones for this company. Below you will find information about each funding round and key financial metrics that shaped the company's growth trajectory.

SaaScend Capital Raised & ValuationCumulative capital raised and post-money valuation by roundCapital raised (cum.)Valuation$0$0$0.2$0.2$0.4$0.4$0.6$0.6$0.8$0.8$1$12014Source: GetLatka.com interview on Mar 17, 2023 with Phil Rader
YearRoundAmountValuation% SoldSource

Founder / CEO

Craig Jordan

CEO

Craig Jordan is identified as CEO of SaaScend. Phil Rader presented the firm's go-to-market framework at a conference in March 2023 and is identified as the interviewed guest. Rader's specific title at SaaScend was not stated in the interview.

Background details on Craig Jordan, Phil Rader, prior companies either individual founded or led, and any net worth information were not discussed in the interview.

Customers

SaaScend's client base is exclusively B2B SaaS companies, segmented by ARR stage from $1M through $100M. Rader noted that deal structures vary by client price point and sales motion: lower-ACV SaaS products tend to rely more heavily on marketing funnels and SDR programs, while higher-ACV software requires deeper direct sales investment.

The number of active clients, customer count, pricing for SaaScend's services, and any free tier offering were not discussed in the interview.

We do not have customer count information for SaaScend yet.

SaaScend Business Model

SaaScend operates as an outsourced rev ops consultancy, generating revenue by advising B2B SaaS clients on tech stack strategy and go-to-market operations. The firm focuses exclusively on B2B SaaS, with client engagements shaped by each client's ARR stage, price point, and sales motion.

Rader described three ARR-defined advisory stages that structure the firm's work. The foundation stage covers clients at $1M to $5M ARR, where the priority is standardizing sales process, building measurement frameworks, and establishing a clean CRM and data infrastructure. The sales efficiency and marketing engine stage covers $5M to $10M ARR, where the focus shifts to reducing administrative burden on sales reps, implementing marketing automation, and automating lead routing. The full go-to-market optimization stage covers $10M to $100M ARR, where clients are deploying sales enablement tools, revenue intelligence platforms, deal rooms, ABM programs, and customer success infrastructure across all three go-to-market pillars.

A central benchmark Rader cited is that salespeople spend only 30 percent of their time actually selling, with the remainder consumed by administrative tasks, manual data entry, and process friction. The consultancy's value proposition is to recover that lost selling time through automation, integration, and disciplined tech stack management. Rader also cited the contrast between an efficient scenario of 5 sales reps running 40 deal cycles and an inefficient scenario of 10 reps running only 20 deal cycles each, illustrating the productivity gap the firm targets. Profitability, revenue, and pricing for SaaScend's own services were not discussed in the interview.

SaaScend Employees & Team Size

SaaScend employs approximately 37 people as of 2026.

SaaScend Team GrowthReported headcount over time01020304020142015201620172018201920202021003737Source: GetLatka.com interview on Mar 17, 2023 with Phil Rader
YearMilestoneSource
2021Reached 37 employees (April 2021)Not recorded

Frequently Asked Questions about SaaScend

Is SaaScend still an independent company?

No. SaaScend was acquired by Dashtab.

What is SaaScend's revenue?

As of 2021, SaaScend generated $3.1M in revenue.

Who founded SaaScend?

SaaScend was founded by Craig Jordan.

How many employees does SaaScend have?

As of 2021, SaaScend had 37 employees.

Where is SaaScend headquartered?

SaaScend is headquartered in San Francisco, California, United States.

Compare SaaScend to the industry

SaaScend operates across multiple industries. Browse revenue, funding, and growth data for SaaScend in each sector below.

Full Interview Transcripts

The Sales & Marketing Tech Stack to Scale Successfully from $1 - $100M+ ARRMar 17, 2023

[00:00] >> Great to meet you. Yes. So saascend, we are an outsource rev ops consultancy. Really advising on the tech stack and today, I want talk about the processes between sales and marketing strategies, you name it. I'm really talking about the different tools that go into that tech stack and how you leverage them and when to possibly invest in them based on your revenue channels and growth. Because it really breaks down into people, process and data And a [00:25] >> lot of these platforms are the tools that you're going to be able put into that tech stack to help them run more efficiently, and it's really how you're leveraging them, integrating them, and implementing them into your tech stack. [00:37] >> So really focusing first, kind of the one to 5,000,000 ARR, you're really building the foundation. At this stage, you're really kinda going through standardizing the process, you're building some metrics that can actually measure the success of your sales team, really getting those first customers and really ramping up from there. So then you're taking all the data off from a data provider, identifying the ICP, constantly going and fine tuning different tiers of that ICP as well. Understanding [01:03] >> who are your true buyers and make sure that messaging is really resonating with that core ICP. And then five to 10,000,000, you're starting to really look at sales efficiency. What are the tools and processes that can really reduce the amount of admin and let your individual sales reps run more deal cycles individually. So that you can do more with less, you have five reps running 40 deal cycles versus 10 reps running 20 deal cycles because they're [01:31] >> not trudging through the mud, there's a lot of processes that are flowing through data and automated. Then building your marketing engine, really starting to have that in and starting to realize what's resonating within the different marketing channels and then optimizing that lead flow. So I'll dive through all these as we keep going through them. And then later going through 10 to 100,000,000, you're looking at different tools of sales enablement, revenue intelligence, deal rooms, you name it, [01:55] >> that are helping your sales team sell bigger deals and faster close cycles. Really advancing that pipeline as well, because you're looking at the last piece we saw was MQLs to SQLs, you're really looking at that clean hand off of lead routing and that tight, tight funnel. So sales doesn't hate marketing, marketing doesn't hate sales, and that only a certain level of qualified leads that have a certain level of engagement are actually getting through that funnel and [02:20] >> they're having a successful first call. And then technology, do not invest in technology unless you've already built out the strategy and the use case around it. So, a lot of times you're talking to all the peers here at these conferences, they say this platform is amazing, you have to have this platform. Well, based on their stage, it may be fantastic for them, but might be overkill for you. And then looking to make sure that you're kind [02:42] >> of running that lean tech stack and there's not dead weight within the tech stack. So, this is really on the journey of that first part. We're really looking at the emerging. So really it's coming down into building that CRM, building that sales funnel, that sales process, and really the tip of the spear is all data, as we know. So really feeding that data in and building out that customer ICP and who you're going to be targeting, [03:07] >> and then fine tuning that through many trials and errors as you're growing. Really that's what focus on, time. Time is the only thing, especially with a lean team. How you maximize your time to drive revenue. How you're growing your deal volume and making sure that you're getting larger and larger within each account, increasing your win rates, so really understanding closed loss, closed won reasons and getting those analytics to understand how you have a higher win rate [03:32] >> and make a repeatable process for your top reps and new reps coming in, and then accelerating that funnel. How do you get that sales cycle down from sixty to forty five to thirty days when possible, depending on the size of the deal. [03:47] >> Now, investing in your CRM, it's your go to, it's your battleground, it's everything that you're doing. That's what every tool and data is gonna flow to. That's where you're going to live within a go to market operation. And so having that build out clean, having data processes around that so that the entire team knows how to run the functions, run through this, and to be able to move things through different stages of the deal cycle, that's [04:12] >> gonna be your first piece. Defining those processes within your own sales process for your company, your buyers, that's going to be the key to be able to have that predictability within your pipeline. And that when you're bringing on new employees, you can be measuring like Noah's Ark, two by two, bring on two reps, one's really scaling up, the other one is, is it people or process? You're able to figure out who is the best culture fit [04:34] >> within that role in your organization because you have that process defined. And then, really identifying your TAM and being able to find those prospects that you want to get in front of, leveraging the data provider and feeding that clean into your CRM. So, here it's instilling those good behaviors. It's not having that messy CRM, not having to ask about data because you're in strategic conversations at your sales manager meetings talking about individual deals of why you [05:02] >> won, why you lost, curating the messaging towards different markets, not going and saying, hey, what's going on with this, going on with that, because the data infrastructure is clean, set up, and you're not wasting sales management meetings on that. And really, it's just efficiency. If you want to scale, want to do more with less, you're not being able to get waves of funding coming in, you're able to really scale and do more with that nimble team [05:25] >> that you have. [05:27] >> Second, you're going to start implementing more of a marketing automation, it could be a marketing hub, Pardot, you name it. Maybe you get sales enablement tool like an outreach or a sales loft, get a contracting tool, that could be at probably either one of these stages. Manually doing proposals brings human error into it and slows down the deal cycle. And then really going into kind of lead routing. So you're bringing in lean into a Chili Piper [05:51] >> or whatever it may be, to be automated that lead routing from marketing MQL's qualified to the SQL's and getting on a call very very quickly. There's not a bunch of follow-up and queues needed, it's all automated. And then down to Bizible, getting first touch, last touch and basic attribution going so you're understanding what activity is more of this, less of that, and where you're spending your time and efforts to actually drive revenue. So, investing the [06:17] >> tools that maximize the sales time, really it's looking at where can we be more efficient. Always and forever, it's if anybody's who here is in sales right now? Okay, we got one, two, so three. Really when you're looking at this, it's when you're done with ten hours of calls, the last thing you want to be doing is manual data entry and how to get all that in there so your team knows everything that's happened. So, if [06:40] >> there's other things that can be automated along the process to help you alleviate that amount of admin time, that's really, really focusing on leveraging these tools and the data. So, 30% of the time, salespeople are actually selling. So, there's all these other ancillary areas of where they're trudging through the mud to be able to get this data in, move deals along the cycle, and they're not actually selling. So, the goal of leveraging these tech stack, these [07:07] >> data flows, these automations, these integrations between your entire tech stack harmoniously is to be able to have more time selling. Be able to run more deal cycles at once with each individual rep and that you actually have AEs that are earning very, very good money and don't want to leave you because they're able to close a lot more deals because they're not trudging through the mud with a lot of these administrative tasks. [07:34] >> That is what it's about. Contract management, sales engagement, calendar booking, lead routing and forecast visualization. Your leadership needs to know that you are not please don't bloat pipeline, that's what I call it. It's make sure there's real deals coming through, we know exactly the percentage of when they're going to hit, the timing of it, things happen, sales cycles get delayed, it's fine. But having that action building, that reliability of the predictable pipeline closing allows your leadership [08:00] >> to make strategic decisions based on their expected booked revenue. So that's really where this forecast visualization comes in. [08:09] >> Basically you're building your marketing engine for the first time, you're doing email nurture campaigns, you're putting out content, you're a little bit lower on the ad spend, really from this five to 10, but you're really starting to ramp up that funnel of brand awareness and bringing in companies through the marketing funnel where it was a little bit more hand to hand combat in the sales from the one to five. And then, [08:31] >> a little testimony on what they've done with the marketing automation and how they're able to get analytics so that when they're spending marketing dollars they know, hey, we spent this on this avenue but the return was not great, let's take the next budget and put it into this area where we got a much higher return. So you're running marketing analytics on making sure you're getting the best out of your ad dollars, marketing dollars in your marketing [08:51] >> spend, and constantly running those analytics within your marketing team and your spend. [08:58] >> And here, it's lead flow. So you have a very tight funnel, as I mentioned, on that marketing m q l, that level of engagement, making sure it's going through the funnel from marketing to sales, and that you're automating the lead routing process straight to the AEs who are eventually taking that true sales call of someone that is ready to evaluate and or buy. [09:18] >> Looking at this, it's really how do you go in on analytics of the closed loss reasons, closed won reasons, and really understand how can we get our win rate. How can we make sure that we're winning more percentage of deals. You're winning one out of nine versus one out of four, it's a whole different ball game on the frustration within the team, on how many at bats that marketing's bringing in versus what's actually closing down the [09:41] >> funnel. And so being able to run that where deals are getting stuck in your life cycle stages of your process is huge to be able to have that insights, those analytics, and that all comes from these flows, automations, and data structure. Now here, 10 to 100,000,000, you're really on the ramp. You're bringing in potentially auto dialers if you're running SDR programs. You've got sales engagement tools like Dooly or Textline. You're maybe running ABM through a Sixth [10:08] >> Sense or other tools. You've got deal rooms that you're running with an enabler deal hub. And then you're bringing in some customer success as well with a little bit more of a chatbot intercom. So, you're really kind of having that fully baked go to market function on all three pillars of sales, marketing and CS, and bringing those tools in to automate those processes and build out those teams around them. And so really when you have the [10:32] >> structure and process built, can do it much better on your hiring cycle, make sure that you're not over hiring and then condensing like we see a lot in our ecosystem, You're hiring systematically based on these processes that you've put in place and the tools within your tech stack that you're leveraging. [10:51] >> Here, it's what will get them to load more deals and providing more greater intelligence. So you just saw EBSA speak, you know, you're looking at revenue intelligence things. What key are indicators of a buyer? What are the relationship things happening? What are the touch points? What are the analytics on deals that have closed won? And what are the analytics on deals that have closed lost? What are the similar trends so we can sit there and understand [11:13] >> what we need to be doing differently and what deals we should be focusing on that are more likely to close within this month, within this quarter based on your sales cycle. And then invest in channels that are working, that's constantly doing marketing analytics on where is the marketing spend returning the most revenue. And making sure that you're not spending money on Facebook and Google ads that aren't working. You're going through different channel marketing, you're going through [11:36] >> different analytics on that, so you can really hone in on getting the most out of those dollars. [11:44] >> And really, it comes down to the data. So, doing an ABM, you can be going at the personal level and targeting an individual at a company that's a decision maker, or you can be going by the account. And ABM is a really big strategy of going after that core, core ICP. And there's definitely different tiers of that ICP as you define it. So, as you look through your customer base, the length of sales cycle, the size [12:07] >> of the deal, who is that real sweet spot and then there's outer layers of that sweet spot that still is a fit for your product or service, but you're really honing in on who do you want to be in front of and you're spending the most advertising dollars, branding to get in front of those people. [12:25] >> And then here, don't buy technology for the sake of technology. We talked about that a little bit beforehand, but really have an entire strategy built around why you are buying the piece of tech, how you're going to leverage it, the use cases within your company and making sure honestly that if you put a few things together within your existing tech stack that there's not a one time use case that you could be doing with the other [12:47] >> tools you already have. And that's when you're really staying lean, mean and focusing on leveraging each tool fully before investing in something that maybe only has a small use case that you don't truly need now, it might be a few quarters away. So, plan for how it'll be used, align it with your processes, consider how it integrates. So, how well does that tool play with the rest of your tech stack? How easy is it to leverage [13:11] >> your existing data to funnel in? If it's not that easy, it's going be a heavier lift, that's a conversation to be had on the power of the tool and the heavier the lift to integrate it into your system. And then looking at the business impact. Based on the cost of the tool, what is this going to do to accelerate revenue? What's the payback period on investing in the tool? What's the ROI? That's always going be in [13:33] >> questions from your lender, your investors, your teammates. That's really going be thinking about before you invest in these tools to be able to kick it off and you're talking about the whole sales and marketing team collectively on how both of them potentially leverage the tool, or how one function is going to lead into the other. [13:51] >> So, in Optimize, you're really running full embedded integrations between the entire tech stack, 100 plus and you're getting different revenue tableau for full data analytics, you're looking at Clari, looking at all these different revenue intelligence and really getting gritty on it because you have the marketing spend, you have the size of team, there's real dollars being spent so everything needs to be fully baked on the analytics that you're getting out of your tech stack and you're [14:18] >> ready for those level of tools. Most likely you've been getting into the CS conversation on customer success and customer retention because you have a strong client base to protect. [14:30] >> So, we talked about this, let's build the foundation for sales process, leverage your data, go into sales efficiency, build your marketing engine, lead routing, and then sales enablement, accelerate pipeline, and always evaluate before you sit there and buy the next technology. [14:50] >> So have all these resources, happy to do this as we really talk about it, it's climbing the go to market operations mountain. So there's fully multi touch attribution on big marketing spend that most do not need at this point, and it's really kind of trying to systematically go from peak to peak and not trying to buy systems that are either ahead of the curve or not being behind where you should be investing a little bit earlier [15:15] >> so that your team can run faster. [15:19] >> So with that, love to open it up for a little bit of Q and A on this and answer any questions on kind of how these build in the processes of the tech stack. [15:41] >> So, particularly with that, you're looking at the ACV, right? We focus on mainly B2B SaaS, that is our expertise. So, it is still B2B, it may be per seat, it may be the lower cost, so maybe you're going more on the marketing funnel than the sales funnel. Or maybe you have more marketing SDRs because it's a quick sales cycle lower buy more than a larger investment into a software, then it really depends on your individual business, [16:05] >> your price point and your customer base.

Data and Sources

All figures on this page are taken directly from interviews or are estimates from public sources and proprietary models. Not financial advice. Read full disclaimer.

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