Salesloft, one of the industry leading sales engagement platforms, has acquired Drift, the industry leader of conversational marketing (aka website chatbots). No financial terms were disclosed.

The merger combines Salesloft's AI revenue orchestration platform, including Salesloft Cadence, with Drift's premier AI chatbot. It's a move that - according to the official press release - will result in a powerful end-to-end AI revenue orchestration platform servicing the entire buying journey.

But what does this merger mean for the wider sales technology market? And what does it mean for B2B buyers?

What's our take on the Salesloft Drift acquisition?

Firstly, it's a sign from the market (and their investors) that individually they could not meet projected valuations and revenue outcomes, but when combined together, the synergies might stand a better chance. As Salesloft CEO David Obrand puts it, the acquisition "introduces to the market the first and only AI-powered Revenue Orchestration Platform."

Except they weren't the first. The category of AI-powered Revenue Orchestration Platform had already been claimed.

For years, other companies like 6sense and Demandbase had been building around the idea of combining the sales technology and the marketing tool stack into an all-in-one solution to automate workflows on top of. Similar to Drift, 6sense and Demandbase primarily focused on the enterprise.

Warmly was the first AI powered revenue orchestration platform purpose built for the SMB. And it does so by giving you the option to plug in your existing tech stack.

SMBs typically require more automation because they don't have the same access to marketing teams, sales people, and resources as enterprises do. So we adapted to that need.

We call it signal-based revenue orchestration.

Trends in Sales and Marketing Tech Stack Consolidation

The Salesloft Drift acquisition seemingly follows an ongoing trend of sales and marketing tech stack consolidation, where market leaders are trying to become the all-in-one unified go-to-market solution.

Here's what we mean.

SaaS Mergers: Improving Sales Development?

ZoomInfo acquired Chorus back in July 2021 for $575 million, allowing them to compete with Gong.io, the industry leader in call recording and intelligence. But it's part of their larger acquisition strategy to increase net retention revenue outcomes year over year by upselling existing customers on new offerings that keep them sticky to ZoomInfo's platform.

Apollo.io took a different approach of natively unifying the sales tech stack by building everything in-house. The company started as a B2B contact database, then combined that with email sequencing, and recently raised $100MM in funding led by Bain Capital Ventures in August 2023 to create the full-stack sales technology platform. 60% of the funds are invested into product development. They have a PLG sales motion which has saved them from having to invest as heavily into a large salesforce.

Hubspot, the SMB CRM of choice, went the reverse of Apollo and started as marketing automation software that then added CRM capabilities later. And in November 2023 Hubspot acquired Clearbit, one of the top B2B data providers. For the first time, CRM, B2B contact data, buyer intent signals, and workflow all came under one roof.

As Whitney Sorson, CTO of Hubspot, puts it, "Picture having complete data on over 20 million companies right inside HubSpot. All with over 100 rich data points about the companies and their decision-makers. Then imagine being able to easily find high-fit prospects natively within your CRM. Finally, imagine that once those companies and contacts are in HubSpot, being alerted when those companies are showing buying intent."

With the rise of AI and ChatGPT, you can start to see sales technology giants leaning into consolidating the tech stack not only to improve the entire customer experience, but also because it breaks down data siloes to seamlessly integrate data across systems.

Entering the Era of Revenue Orchestration

Data is the new oil. It's the lifeblood of the orchestration. But data alone is not enough to accelerate pipeline conversion rates.

It needs to be combined with action.

As we combine sales workflow, data, and AI and automation, we move into the new era of revenue orchestration. And that means an ongoing arms race to reach B2B buyers.

Drift and Salesloft: A Tale of Two Giants

Let's zoom into the Salesloft Drift acquisition for a second, because there's a deeper story here.

Back in in 2021, Vista Equity acquired a majority stake in Drift, which valued the buyer engagement platform at $1 billion. In 2022 Vista paid an estimated 23x multiple for Salesloft, which valued it at around $2.3 billion.

These were during the good times of SaaS. But SaaS has taken a turn for the worse as we headed into 2023.

Drift: The Hero of SaaS

There was a time when Drift was the darling of B2B sales technology. Initially, it was Intercom that started the real push of website chat, especially in B2B. But while intercom pushed more into support, Drift moved into marketing.

The eventually created the category and movement around conversational marketing and got chatbots to appear on all the websites. Their key pillar of its growth was B2B buyers from the SMB market.

Anybody could add a script tag to their site and you'd see the iconic Drift chatbot icon on the bottom right hand corner.

The Drift sales development team grew revenue quickly by doing one-call closes using their own product.

The sales team would chat directly to website visitors, post a Zoom Link in the chat, and close a $6,000 to $8,000 a year deal right on the website.

Drift grew from $6 million in revenue to $47 million in revenue in 2 years. It was insanity. It was around this period that that Vista Equity stepped in.

Enter Private Equity

After Vista Equity entered the proverbial chat, Drift was forced to move upmarket and stopped caring about SMB/the lower-middle market B2B buyers. SMB just isn't seen as a place to stay for an aggressive PE firm that wants predictable revenue outcomes. Small companies churned too quickly.

Plus, companies with high website traffic typically received the most value out of Drift, which by and large is a marketing tool designed to capture leads passively visiting the site. The more site visitors, the more leads.

Consequently, it was easier to prove ROI and justify a higher price tag. PE saw enterprise revenue as more stable, which meant a higher multiple could be attached to the conversational AI company.

Drift initially did have a vision to expand outside of its conversational marketing wedge and help service the entire customer experience from top of funnel marketing to bottom of funnel sales, as well engaging customer experiences post-sales .

But ever since Vista took over, Drift shut down all expansion and focused product development on enterprise features and sticking to the marketing use case.

Remember the days when you could add a Drift chatbot to your site for a couple hundred a month? Those are gone.

Today, Drift's lowest tier is $2,500/month ($30,000/year), which is ironically desc "For Small Businesses."

$2,500/month: Small Business?

For Drift's Advanced and Enterprise tiers, we've heard our customers being quoted hundreds of thousands of dollars to upwards of millions a year. For Drift, the economics of the lower end of the market didn't make sense.

This showed in the product and buyer experiences as well. Complicated workflows, long implementation sessions, high price tags. It became a best-in-class point solution instead of an end-to-end platform, which put a ceiling on its growth.

There was a point where Drift wasn't even integrated in the CRM, a gap that Qualified exploited by building natively on top of the CRM to streamline the sales use case.

But moving up-market proved to be more difficult for Drift. Growth started to slow. And at the bottom, new entrants started popping up everywhere.

Chatbot software listed on G2

At this time, sales technology company valuations dramatically decreased; many investors were told not to deploy capital and to hold; and B2B buyers stopped buying. And as a result, churn and downgrades increased across the board.

It's no surprise that Drift had layoffs, releasing 159 employees in 2023. Case in point: Drift's employee growth rate has regressed 20% in the last 2 years.

Drift's Employee Count For the Past Two Years

Drift and Salesloft: A Merger of Equals

It made sense for Vista to combine Drift with Salesloft, two complimentary market leaders in sales development and customer engagement that are struggling to keep their dominance and justify their valuation multiples individually.

Salesloft has similarly come up against stiff competition from entrants like Outreach.io, Instantly.ai, Gong.io, Hubspot, ZoomInfo, and Apollo, all of which have their own sales prospecting capabilities that rival Salesloft's.

Tack on the fact that 93% of outbound emails these days are automated, with response rates generally reaching less than 2%, and it's obvious: the category of email sequencing is reaching a point of diminishing returns for its buyers.

Salesloft's acquisition of Drift, which we see more as a merger, is an opportunity for both companies to decrease costs, improve revenue outcomes, and leverage new synergies, especially fulfilling both company's initial visions of expanding beyond their own stage of buyer journey.

Salesloft CEO David Obrand posted on LinkedIn “[The acquisition] introduces to the market the first and only AI-powered Revenue Orchestration Platform that serves the entire buying journey. By closing the gap between sales and marketing, which has long been a major pain point in the revenue motion, go-to-market teams can now orchestrate a hyper-personalized, omnichannel buyer journey at scale.”

Typically, marketing tools don't cross over into sales, outside of ABX platforms like 6sense and Demandbase, so this would be one of the first acquisitions of its kind.

Naturally, it will take time to fully integrate the two sales technology platforms to create the AI-powered revenue orchestration experience that David Obrand has promised. And it won't be cheap: the point of consolidation is also to upsell offerings, especially if you're aiming at improving the entire buying journey.

What would that look like?

Sales reps could do things like sequence prospects via Salesloft, then continue the conversation with the prospect when they visit the website using Drift.

Drift can cookie and track session activity for all website visitors, and once a target company is identified, teams can use Salesloft to multithread the conversation with all key stakeholders in that target account by adding them all to sequences.

All of this orchestrated by Conductor AI of course.

Salesloft and Drift: Legacy Software Under Fire

As Salesloft and Drift are sorting through the acquisition, there will be a window of opportunity for new entrants to claim the AI revenue orchestration category for themselves by adapting to the changing landscape of how companies successfully go-to-market. We predict that these companies will move quickly to establish themselves.

There will be companies like Apollo.io who will opt to build the unified go-to-market solution natively in-house. This is better than the acquisition approach because data can move seamlessly across all their sub products.

And there will be other companies that will keep themselves platform-agnostic and act as the unified API layer that stitches together the sales and marketing tech stack, resulting in the entire customer experience becoming more coherent. Call it go-to-market middleware.

It's difficult for a single platform to be #1 at every use case. There will always be niche use cases that are better served by specific tools.

In this scenario, you would be able to plug in your favorite tools that you're already using.

Maybe you like ZoomInfo data better than Apollo's, Outreach more than Salesloft, 6sense more than Demandbase. It would give you the opportunity to mix and mash the best-in-class point solutions for your specific market and revenue outcomes.

I think Zach Howland, a sales tech stack expert who has implemented multiple CRM and sales tools across various companies, said it best.

"Flexibility is enhanced utility. The market needs to be more nimble for the coming scramble to modernize sales technology as AI becomes more robust."

Warmly, the Signal-Based Revenue Orchestration Platform

Hi! We're Warmly, the signal-based revenue orchestration platform, purpose built for the SMB market that Salesloft and Drift are neglecting.

Instead of building everything natively or consolidating, we give you the flexibility to plug in your favorite sales and marketing tools.

We then infuse your tech stack with the best-in-class intent and enrichment data from 6sense, Clearbit, and Bombora to automatically orchestrate the right sales workflows at the right time.

We're AI powered. We're free to get started. And you can be fully setup in minutes.

And you can save yourself the $30,000/year because we built a Drift competitor chatbot natively into our platform as well.

Find out how D2DExperts closed $80,000 in revenue from Warmly in the first 12 days of use.

This article is Part IV of the 4-part series on the shifting landscape of B2B buying and selling, how revenue teams have adapted, and where we think the market is headed.

Here, you can read Part III, which goes over what AI-powered revenue orchestration is and why it's important in the age of AI and automation.

As Part I of the B2B SaaS evolution explained, the world's digital transformation also transformed the importance of the website.

Some studies have noted that 70% of the buyer journey is completed by the time the prospect speaks with a salesperson.

Dark social, through the internet's scale and maturity, has created tons of word-of-mouth channels for recommending products that don't get tracked by attribution software and don't create intent data. 

These channels include social networks like LinkedIn, content platforms like podcasts, internal communications like Slack communities, DMs, and text messages. Word of mouth through dark funnel activities increasingly plays a more influential role in buying decisions.

The trickiest part is knowing when to reach out to the right person with the right question since buyers' attention always changes.

Sending out unsolicited emails and making random phone calls is like taking a shot in the dark, hoping to catch the buyers at the perfect moment. But people don't answer their phones these days, and their email inboxes are overflowing.

At some point in every B2B SaaS buyer's journey, they may not see our ad, they may not read our email, they may not see our G2 reviews, but they will go to check out our website. And for ~8 seconds when they hit our site, we know they're just thinking about us.

“The average digital attention span is 8 seconds, according to media analysts and data scientists,” says Aydin Senkut, Warmly Series A investor, Founder and Managing Partner at Felicis. “So the opportunity to catch a prospect while they are actively engaged with your content is fleeting. There is no time to chat to the visitor, upload a lead into a CRM, enrich the data, and add to a follow-up sequence. Warmly provides real-time orchestration of these tasks within that 8-second window.”

From: Press Release: Warmly Series A Announcement

How do you ensure the right follow-up actions happen at this exact moment in time, every time?

We call the solution signal-based revenue orchestration.

The Issue With Most GTM Teams 

How often have you heard one of your sales reps use the phrase, “I just don’t have time for that.”?

This is one of the biggest issues among sales teams.

We’ve got all of these fantastic tools and a ton of great data to dig into, but we don’t really seem to get value out of it all.

Between firmographic data, conversation intelligence, and buying signals, sales reps have so much information to look at that it could take as much as an hour to absorb enough data to respond to a prospect with a sufficient level of context.

And by that time, a competitor has already responded and won the deal.

There is always a tension between speed-to-lead and contextual, personalized responses.

In most cases, speed wins out, especially since reps have lofty sales targets and activity goals. So they make mistakes. They don‘t do research as much as they could (or should). They stop personalizing outreach.

And, of course, conversion rates suffer.

The Last Defensible Marketing Moat Is Brand

In the hyper-saturated environments in which most companies operate today, brand is the last defensible marketing moat.

Competitors can copy and implement new features in weeks, if not days. Messaging can be replicated and improved upon even faster. So can the majority of your sales and marketing tactics and channels.

Brand is what distinguishes you from competitors. It's what creates an emotional connection with prospects before they are ready to buy. It's what allows you to influence buying decisions and to tap into the world of dark social and word-of-mouth referrals.

In our deep dive on warm leads, we spoke about a three-step process for driving qualified, high-intent leads to your site:

1. Build a media brand (investing in content creation and distribution to position your brand as a leader)
2. Create brand partnerships (working with likeminded brands in a similar space to increase reach and borrow brand equity)
3. Engage with prospective buyers (get out there and talk with customers, rather than talking at them with outbound marketing communications)

All of these efforts lead back to one place:

The website.

Website As The Choke Point To All GTM Investments

The opportunity lies in the fact that as the world becomes more digitized, the website serves as the digital store, while the landing page acts as the digital shopfront.

Imagine you are the marketing team for your store. You invest significant money to attract foot traffic, hoping that people will pass by your store (website) and take a closer look at your shopfront (landing page).

If we have done a good job designing our shopfront, some people may enter our store. Some who enter may be our target buyers.

Our target buyers walk through our store daily, showing interest in what we offer. But no one's there to greet them. 

Instead, they are instructed to write down their information on a post-it note and wait for a response in a few hours or days, only to get a call from a rep who asks many questions but answers none of theirs. This is the typical process of filling out forms.

Or they are directed to a kiosk where they can provide their information and receive automated answers. Most chatbots operate in this manner, but this is not how people make purchasing decisions.

It's not surprising that, on average, only 3% of website visitors fill out forms.

Step one of maximizing marketing spend is figuring out which qualified accounts are visiting our website, and from there, the accounts are actually in-market for our product but not raising their hand.

Otherwise, how do we know what marketing efforts are working and where to double down?

~3% of your site traffic converts (and not always the traffic you want)

Quality Data Delivers Qualified Leads

When it comes to B2B buyer intent data, first-party data is always the most reliable source, followed closely by best-in-class third-party intent data from the likes of Bombora.

With these warm buyer intent signals in hand from website visitor behavior, you’re going after the lowest-hanging fruit because these are the companies that are familiar with your brand.

That’s why we’re starting with website intent because only 3% of website visitors fill out a form, so you’re missing out on a huge chunk of what could be qualified prospects,

As the state of signal-based revenue orchestration develops, we’ll be adding additional data sources like job change alerts and job posts.

Introducing Warmly: AI-Supported Signal-Based Revenue Orchestration

Warmly is our signal-based revenue orchestration, born out of the need to respond to warm leads fast and to ensure that as much context and personalization as possible are present at every touchpoint.

Warmly is designed specifically for the SMB, with a flexible pricing structure to suit. Most ABM and revenue-focused solutions are out of range for this market segment; they’re targeting enterprise buyers.

As such, those platforms generally take a human-first approach since enterprise companies with enterprise budgets for enterprise tools also have the budget for a huge GTM team.

SMB buyers don’t have that luxury.

So, we built Warmly with an AI-first approach. This way, you get the best out of what modern machines can offer (speed, scale, and data-driven contextual communication) and only loop your reps in when the human touch is needed to close the deal. This allows humans to focus on what they do best which is building relationships and being strategic.

These tools are also largely forcing customers into a specific ecosystem. ‎Salesloft acquired Drift and is focused on building an all-in-one GTM solution. Same thing is happening with ZoomInfo, and with the HubSpot acquisition of Clearbit.

But SMB buyers need flexibility. 

So, our approach to revenue orchestration is about being the middleware that orchestrates the best-in-class tools that you choose so you can have flexibility. 

How Signal-Based Revenue Orchestration Works

You Run Demand Gen As Normal 

All of this begins with the various demand generation strategies you’re running.

Remember, only around 5% of your total addressable market is actually ready to buy. By the time they get to one of your lead generation devices, they’ve already done the majority of their research.

If you’re not present during that whole customer journey, educating the prospect and guiding their buying decisions at every turn, you’re unlikely to be in the final consideration set.

So, keep on doing what you’re doing. Build that content machine, publish and distribute, and drive traffic back to your website so prospects can learn about how you solve their common problems.

Warmly Deanonymizes Visitors To Your Website 

Once a potential buyer lands on your website, Warmly kicks into action.

This begins with website visitor deanonymization.

We can uncover 65% of the companies who visit your site and 15% of the actual people without you having to do anything.

In some cases, we can provide LinkedIn accounts and even email addresses for these buyers, all of which are then quickly synced back to your CRM and sales engagement tools.

Best-In-Class Data Integrations Help Identify Buying Committees 

We then pull in firmographic data from best-in-class sources such as Clearbit and 6sense, both at the company level and at the contact level.

This helps you to identify who might be on the buying committee and who else at that company might be responsible for the purchase decision.

For example, a marketing associate might have visited your website, but Warmly has identified (based on your ICP information) that the CMO would more likely be the decision-maker here.

This data is also routed to your sales tech stack, helping to build out the account and allowing you to understand more about who you need to talk to in order to influence a purchase.

This comes from a proprietary data waterfall strategy designed to ensure you have the best coverage and accuracy (better than anyone else). We layer together the best data for you so you don’t have to go through the headache.

Warmly Orchestrates Multi-Threaded Omnichannel Outreach 

Here’s where the power of AI really kicks into gear.

We’ve enriched your CRM and sales engagement tools with all of the account data related to the prospect in question. We’ve combined metadata and tech stack data with best-in-class buying intent data to translate buying signals into meaningful and actionable sales actions that can be automated.

We call this multi-threaded outreach.

By multi-threaded, we mean that our AI engine isn’t just communicating with one person.

It’s using powerful sales and marketing automation to push personalized email and LinkedIn messages to multiple stakeholders, all of which appear to be coming from a member of our sales team.

As all good revenue teams know, each stakeholder in the B2B buying team has different buying motivations. The CMO is going to want to see results or proof of concept that are different from what the marketing associate might see.

So, our AI outreach engine crafts contextual messaging based on those roles and the value your product can provide them.

All of this is orchestrated via a single platform connected to your existing sales engagement tech stack. It’s high-value work being done in the background that your reps don’t have to worry about.

Use Case Examples For Signal-Based Revenue Orchestration

Top of Funnel Orchestration

If a qualified ICP account visits the website for the first time without any associated CRM deal, we automatically create the account in the CRM. Then, we enrich new CRM fields to track the account's digital footprint and analyze trends. We automatically source the buying committee via Apollo, PeopleDataLabs, and ZoomInfo integrations.

The contacts are then synced to the CRM, assigned the appropriate account owner, and automatically added to an educational nurture sequence sent via email and LinkedIn (via our Salesflow integration).

As the buying committee members engage with the content, the signal on the account strengthens. Over time, we may see the account transition from the awareness stage to the consideration stage of the buying journey. And instead of just searching for your category in Google, they're searching for your brand.

Middle of Funnel Orchestration

The account's buying committee has started to show interest in your offering, as evidenced by repeat visits to your website from multiple IP addresses. They have shown interest in case studies and pricing pages and have recently engaged with marketing nurture emails. We bilaterally sync web activity associated with each buying committee member into the CRM, including the referral source, time spent on each page, and specific pages visited. This synchronization helps prioritize accounts, tailor experiences, and involve relevant parties.

As committee members are directed to your site via nurture sequences, we will send personalized messages through our AI chat. These AI chat messages are contextualized to the content consumed and the account's surrounding context. As the conversation progresses, your human seller will be notified through Slack and can engage with the prospect in real-time via video call on the website.

Bottom of Funnel Orchestration

When an account is in the decision phase and on your website, we alert the assigned Account Executive (AE) both audibly and via push notifications when these accounts visit our site. This enables the AE to meet the visitor where they're at, on the website via our live video chat. If the AE can't act immediately, the notification provides the phone numbers of the buying committee (when available) for a direct call.

Simultaneously, we draft personalized emails or LinkedIn messages using GPT and relevant data pulled from all integrated systems. The AE would approve these messages before they're sent, ensuring timely and relevant follow-ups with the prospect.

Lead Scoring & Revenue Orchestration

Signal-based revenue orchestration can (and should) be set up to run different playbooks based on the level of intent and warmth the prospect demonstrates.

Here’s how we score and route leads at Warmly, for instance:

As you can see, leads we judge as cold receive simple inbound chatbot workflows, whereas hot and medium prospects get a proactive AI chat playbook.

These distinctions are made using our proprietary warm lead scoring matrix.

A combination of ICP filters (for example, the size of the company) and intent signals (from third-party site activity and engagement on our own website) determines how hot the lead is, automatically filtering prospects into the relevant workflows.

PS. Our full-length article on Warmly implementation goes into detail on how to set this up.

Advantages of Signal-Based Revenue Orchestration

We only loop in sellers when an account is ready for a human conversation. Otherwise, we're continuing to deliver multi-threaded, omni-channel experiences across all your accounts automatically.

We think that human systems are inherently difficult to scale, especially as deals become more complex and involve more stakeholders, each with individual nuances.

The difficulty is in holding attention long enough to synthesize all the information collected on an account/individual to craft the right experience before their attention goes elsewhere. It takes time to research, time to draft, and time to send. When a rep reaches out, the window of opportunity might have closed, and the prospect is visiting a competitor's site. Or the rep never reaches out, and we would've missed an opportunity to build a relationship with the prospect earlier in their buying journey.

Orchestration's ability to reduce the relevant information from your systems into the right multi-threaded actions, combined with AI's ability to generate personalized messaging, has the following advantages over traditional Account Based Marketing:

• Fit - To ensure that the best-fit companies (based on your ICP) get high-touch workflows, stopping low-intent leads from clogging up sales pipelines and speeding up sales cycles by acting as a filtering mechanism and stitching together various data inputs. 
• Speed - To engage with the prospect through the right channel, with the right message in that ~8-second window when they're thinking about you
• Scale - To engage with all accounts visiting your website across all stages of the buyer journey and across the entire buying committee, not just the person visiting the site at that moment
• Consistency - To immediately mobilize and scale up an army of AI SDRs to deliver consistent messaging that would resonate with the right buyers so you can test and iterate what works best at scale
• Personalization - To deliver the right messaging at the right time, via the right channel, AND being human while doing so
• Reduction - To measure the value of each of the dozens of buying signals you have access to, and weight them based on how strongly they indicate intent, and reduce it to an overall intent score

Consolidate Tools to Create a Seamless Buyer Experience

To stitch together these event-driven systems, you would need ZoomInfo or Clearbit to enrich the data, 6sense to gather the website intent, and Drift to engage with them live on the website. Now you can do it all in one.

Layering data from disparate systems and reducing the complexity through orchestration leads to derived insights. You can skip analysis done by a human toggling between three screens and pinpoint critical moments in a buyer's journey. You don't need to ink deals with 6-7 vendors and spend time getting systems to talk to one another. You can focus on one core vendor and push them to innovate to create seamless buyer experiences.

That will allow you to save money on tech spend, repurpose reps' time on more strategic problem-solving for the customer, and have robust data to run models and AI against to automate processes further.

Setup Warmly in Minutes, Not Months

Larger platforms may require weeks to months to set up correctly, involving multiple teams, onboarding sessions, and alignment meetings. The hidden cost of setup starts to eat away at the ROI.

For Warmly, you can begin receiving hard ROI in 20 minutes by:

• Adding a code snippet to the site
• One-click authenticating into your systems (Hubspot, Outreach, Apollo, Slack, LinkedIn, etc.)

You can immediately start to improve conversion rates by de-anonymizing and enriching the traffic coming to your site, sync this data back into your CRM, and then routing hot accounts to the right rep.

Then we would set you up for an onboarding call with our CSM for 30 minutes to help you define your ICP accounts and buying committee personas in Warmly so that we can set website prospecting on auto-pilot by turning on AI chat and AI prospector. This would run all hours of the day to line up conversations for reps even as they sleep.

An example: within the first 8 minutes of turning on AI chat, Kandji was able to book two qualified meetings. You can read more about Kandji's case study here.

Read more about what our customers have to say about us:

• How Behavioral Signals sourced $7M in enterprise pipeline since using Warmly
• $80,000 In Revenue From Warmly In 12 Days for D2D Experts
• How Inbox Pirates Closed a 4-figure deal in just 2 weeks with Warmly

This article is Part III of a 4-part series on the shifting landscape of B2B buying and selling, how revenue teams have adapted, and where we think the market is headed.

You can read Part II, where we introduce account-based marketing and how it improves the buyer experience to get past the noise explained in Part I.

In the previous two parts, we talked about the problems facing revenue teams today and how we got there. Account-based marketing is a step in the right direction, as it adapts how companies engage with buyers depending on the stage of their buyer's journey. 

Right message, right person, right time, through the right channel.

However, having implemented ABM solutions ourselves and talked with many current or former users of ABM, we've seen that there are hard setup and maintenance costs, as well as difficulties in running such a complex operation effectively - particularly speed, coverage, and consistency.

People are influenced into deals rather than pushed into them like before. Demand creation and dark social are starting to become a key part of people’s strategies.

Understanding Demand: Creation vs. Selling

‎(Image Source: Freepik)

Demand creation focuses further up the funnel at the awareness and consideration stages of the buyer's journey. It's about finding ways to get our brand in front of the 97 to 99 percent of our total addressable market who may not be actively in the market but have the potential to become prospects in the future. This involves utilizing channels like LinkedIn, Reddit, ads, webinars, blog posts, and influencers to educate and engage with our target audience.

Demand capture is about capturing the buyer in the decision and purchase stage. Again, only 1 to 3 percent of people are currently in the market and showing purchase intent. This is where all of our sales team's efforts should go. There's typically a high cost for sales spending time on accounts that are not in-market.

The need to split between demand creation (mostly marketing, though there can be some assistance from sales) and demand capture (mostly sales but with some marketing influence) is to fulfill the buyer journey experience.

One common mistake companies make is the tendency to allocate most of their budget towards demand capture, even though 70% of the buying journey has already occurred by the time a seller is involved. By then, the buyer already has a top 5 list of vendors they are looking to evaluate.

By neglecting demand creation, we risk commoditizing ourselves among competitors and miss the opportunity to distinguish ourselves as a leader.

If we truly solve a problem, our buyer will be in the market for our solution one day. And if we did demand creation right, they'll be googling for our solution via branded search terms rather than typing our category name, where we may not even rank in the first four search results.

The Importance of ICP Creation

When we look at the difference between high-performing and low-performing SDR teams, there’s one thing that stands out across the board:

The best teams are getting fed with better pipeline.

That is, the leads coming through are of higher quality. They’re a better match for the company’s ICP, so they have an easier time closing deals and waste less time on leads that would never close.

For this, you need to have your ICP clearly nailed down and ensure your demand-generation activities are tailored to that specific audience.

It is not just about finding a fit on demographics, though.

You also want to know that the company is growing. Do they have NRR over 100%? Are they retaining customers? Is revenue increasing?

If these signals are all met, it means you’re less likely to have churn issues in the future because the buyers got laid off.

‎

Wasting Time on The Wrong Activities 

The other problem with many low-performing SDR teams is that they aren’t focusing on the right actions. Only 20% of their time goes to activities that create progress. The other 80% is just wasted time.

They aren’t working on the right deals at the right time, with the right people, through the right channels.

Revenue orchestration helps sales teams prioritize the best leads and deprioritize the worst ones so they can work on the activities that actually move the needle forward.

Advantages of AI-powered Revenue Orchestration

Fit 

AI-powered revenue orchestration helps ensure that the leads that do make it through to a conversation with sales reps are highly aligned with your ICP.

Instead of funneling all potential prospects through to a demo (like a standard chatbot or meeting booker would), a revenue orchestration solution:

• De-anonymizes the site visitor.
• Enriches your CRM data on that account with other firmographic info (such as identifying who else might be on the buying committee).
• Extracts third-party buying intent signals from external providers to understand where the prospect is at in their buying journey.
• Understands the current health of the company by pulling publicly available growth metrics.
• Matches that collection of data against your ICP construct to determine what conversational path to put them down.
• Orchestrates communications across email, social, and live chat.
• Nurtures the prospect until they demonstrate a sufficient level of intent, triggering an alert for a salesperson to take over.

This means those website visitors you aren’t a fit for your ICP don’t clog up your sales teams’ meeting pipeline, which translates to faster sales cycles and stronger conversion rates.

Speed

When a target company exhibits buying intent, the window of opportunity that the buyer is thinking about you could be seconds.

If a buyer visits the site and has a question about the product but is unable to meet with a rep until a day later, that may be too late if the budget discussion is tomorrow. By the time a sales rep reaches out, the moment may have passed, and the buyer has gone to a competitor.

Here's an example of how orchestration could solve this.

The VP of Marketing tells a B2B marketing manager at SaaS Co. to research an intent solution to get more in-market leads. SaaS Co's marketing manager asks the Pavilion Go-to-market community for alternatives to 6sense because 6sense is so expensive. Someone mentions Warmly.

The marketing manager visits Warmly's homepage, the case studies page, and the pricing page. On the pricing page, the chatbot pings - it's an AE at Warmly asking if they have any questions.

The marketing manager doesn't realize he's speaking to an AI. But by now, the actual AE has been notified and jumped in to take over the conversation, initiating a video call. They arrange to catch up again after SaaS Co's budget meeting (that's tomorrow). The marketing manager notes the solution in his deck and calls it a day.

But the orchestration doesn't end there.

• Immediately after, the SaaS Co.'s CFO receives a LinkedIn connection request. It's the Warmly AE, enquiring about their precarious financial position. They detail exactly how Warmly integrates into SaaS Co's existing tech stack and maximizes the ROI of marketing spend. The CFO ignores the message but keeps Warmly in mind.
• The rest of the buying committee (the VP of Marketing, CRO, VP of Sales, and Head of Sales Development) receive custom emails addressing all the risks Warmly would help eliminate.
• The CRO finds a surprise in her message - an explanation of how Warmly eliminates revenue leaks, a topic they had recently read up on. The CRO clicks on a link in the email, arrives on the Warmly homepage, and reads case studies about how Warmly solved revenue leaks with SaaS Co's competitors.

The orchestration system automatically generated these experiences immediately after that initial call. AI carefully selected the message, buying committee members, and channels based on the surrounding context and historical data.

In the past, such an analysis and outreach would have taken hours. This took minutes. Plus, the call recording was synced to the CRM, transcribed, and processed alongside all other relevant data collected on the account.

So, onto that all-important buying committee meeting. What do you know? Warmly is top of mind.

The marketing manager reaches out to Warmly's AE to schedule another call with the VP of Marketing, CRO, and Sales. The AI, always doing more, includes the CFO on the call because they're deemed vital.

And in less than two days (there could be just 24 hours between the initial website visit and that buying committee meeting), you've got a prospect ready to buy.

Scale

A similar story plays out a hundred more times during the working day as companies visit the site, are qualified in or out, and the orchestration platform delivers the right experience. A single rep can only handle one account at a time, but an orchestration platform can simultaneously service every single account at every stage of the buyer journey.

The previous example discussed a possible experience delivered to the account if they were in-market.

What about those that aren't in-market?

They receive demand-creation experiences, like display ads or personalized emails that route to educational blog pages or videos.

When the target accounts finally enter the "buying window," Warmly's content has already shaped their opinions. The account is primed, and we move to demand capture involving the sales team.

The target accounts arrive on Warmly's landing page, the AI qualifies them as in, notifies the rep when a human needs to be in the loop, and the cycle repeats.

Flexibility

‎The best AI-powered revenue orchestration solutions give GTM teams the flexibility they need to plug into their existing tech stack and coordinate sales and marketing activities.

That’s not the case across the board, though.

Right now, we’re seeing a consolidation of the GTM tech market.

Salesloft bought Drift. HubSpot bought Clearbit. Leedfeeder merged with Echobot to become Dealfront.

You’re also seeing tools like Apollo.io and ZoomInfo build out unified GTM suites in-house.

Others, like Warmly, are more platform-agnostic. They focus on integrating with a wide variety of tools so you can plug into the tech stack you’re already set up with and orchestrate effective GTM campaigns powered by AI.

Zach Howland, a sales tech stack expert with a ton of experience implementing CRM and sales tools, has a great point on this:

"Flexibility is enhanced utility. The market needs to be more nimble for the coming scramble to modernize sales technology as AI becomes more robust.”

Consistency

Take this example.

Based on data in the orchestration platform, the leadership team finds they're losing deals based on price to competitors, specifically to companies in B2B SaaS at the Series A stage.

So, the team tweaks the orchestration platform to show 20% discounts to in-market B2B SaaS accounts at the Series A stage. The AI also integrates this promotion into the company's messaging while keeping the price the same for all other prospects.

Normally, this type of change would take multiple training sessions with SDRs, as reps leave, are onboarded, or return from vacation. In the past, reps might have tested messaging and pricing on their own.

Now, everything is standardized. This change is implemented immediately and fed through the platform.

Personalization

The other problem with those stock standard sales conversations that lack context?

They’re exactly the opposite of what today’s buyers say they want.

86% say personalization plays a major role in their purchasing decision.

For many companies, especially SMBs, personalization is a great concept but can be difficult to achieve.

Most businesses add a dynamic name section to their email chains and call it a day. As if their name is what customers are talking about when they say they want personalized buying experiences.

A quality revenue orchestration platform provides companies access to the tools they need to deliver personalized experiences.

Again, it starts with quality data (you can’t personalize anything if you don’t know a thing about the person you’re speaking to), coordinated using a combination of AI and automation to identify opportunities to personalize aspects of the conversation.

It's not just about showing that you know their company's name or their role. Revenue orchestration can go as far as customizing the marketing messaging and even the sales assets that customers receive based entirely on the demographic and intent data you have on them.

Adaptive Systems and their Multiplier Effect

When the whole go-to-market functions of demand creation (marketing) and demand capture (sales) play together harmoniously and the experience is delivered correctly, buyers are happy because they feel like it's being done for them, not to them.

When data no longer lives in siloes and is combined to create derived insights that feed back into the platform, the system continuously delivers better experiences to each account.

Advancements in AI, like vector embeddings, can extend LLMs to have long-term memory for the surrounding historical context and experiences delivered to not just one account but every account being tracked in the CRM. This allows the system to create highly customized experiences that extend across the life cycle of the buyer's journey. Like Amazon and Netflix, millions of buyers don't receive templated emails; they receive carefully selected personalized experiences.

The Non-linear Nature of B2B Purchasing

B2B buying doesn’t play out in any kind of predictable, linear order. Instead, buyers engage in what one might call “looping” across a typical B2B purchase, revisiting (for example) six buying jobs at least once.

There's a multiplier effect when all the pieces work together and adapt in real time to the ever-evolving ecosystem of B2B buying.

‎(Image Source)

Redefining the Role of Human Interaction

Go-to-market teams have already been downsizing and learning to be just as effective with fewer headcounts.

It's gotten so difficult to get someone on the phone that when they finally pick up, after 100 dials, we end up word vomiting just to have them hang up again. It's a horrible experience for both the buyer and the seller.

In the very near future, sellers will move further away from these manual, repetitive tasks because of the increased sophistication, efficiency, and effectiveness of these new adaptive systems. SDRs and AEs can get back to focusing on solving complex customer problems and building long-term relationships. And marketers can spend more time building empathy for the people they are seeking to serve.

And because AI has become quite good at synthesizing data into something humans can understand, we can drill down into the system and reveal important answers to questions like: Who is our ICP? Where are the bottlenecks? Why did we deliver certain experiences? What's been working or not working? Why?

That's the magic of AI-supported revenue orchestration. It gives us the power to be more creative and strategic.

We do what we do best, and leave the rest to automation.

Read on for Part IV on Warmly: The Signal-Based Revenue Orchestration Platform.

Interested to see Warmly in action? Book a demo.

This article is Part II of a 4-part series on the shifting landscape in B2B buying and selling, how revenue teams have adapted, and where we think the market is headed next.

You can read Part I, in which talks about the evolution of sales and marketing pre and post-pandemic.

TL;DR:

• The reduction in force in 2023 has accelerated the need for agile organizations in B2B buying and selling.
• Account Based Marketing (ABM) has shifted the focus from individual leads to the account level, improving efficiency and relevance.
• Understanding the buyer's journey and using automation and AI can increase sales velocity and conversions.
• However, there are limitations to ABM, including the challenge of data silos and the need for speed, coverage, and consistency.
• The next phase in demand capture and demand creation is Account Based Orchestration (ABO)

Headcount Reduction Accelerating the Agile Organization

As of August 2023, almost 300,000 workers in US-based tech companies have been laid off.

Just as COVID was a massive accelerant to the digital buying process, the 2023 reduction in force, because of uncertainty around the economy, was a massive accelerant to the new age of agile organizations.

Dynata conducted a 2023 study across 500 business leaders in the US, Germany, the UK, and France across all industries. Participants included heads of sales, revops, and marketing. A few findings:

• 75% of organizations expected flat or reduced revenue growth this year
• 58% expect to have less personnel to drive sales

So, there is less staff, potentially the same pipeline coverage needed to hit your quota.

As a result, sales and marketing organizations learned how to operate smaller, more agile, and more efficiently. Revenue teams began partnering with the most innovative technologies that used automation and AI to help them execute operational downstream activities, which allowed them to focus on key insights and personalization.

Shift Towards Customer Centricity and Account-Based Marketing

In the past, most go-to-market tooling was focused on helping the seller and marketer get more leads. The experience of tooling wasn't necessarily tailored toward the buyer (e.g. carpet bomb email and relentless cold calls).

There are two options to increase revenue:

• Increase leads
• Improve pipeline conversions, cycle times, ASPs

It seemed easier to get more leads, so many organizations chose that. But it wasn't. It was the more expensive option that had diminishing returns. More leads to sift through and follow up on meant sellers weren't allocating their time as effectively.

The problem was that 3% of your TAM was in-market to buy (Sticky Branding).

Spending time on non-target accounts that were not in-market to buy was a huge waste of time and money for both the sales and marketing teams.

The Importance of Efficient Growth and Timing

Companies like 6sense keyed in on the importance of efficient growth, relevance, and timing. They introduced the idea of account-based marketing (ABM), which took the focus off the individual lead contact and brought it up to the account level.

Understanding the Buyer's Journey

The vision was to break your target ICP accounts into four key stages of the buyer journey:

• Target: Not ready to buy
• Awareness: Waking up to the problem
• Consideration: Learning how to solve the problem
• Decision: Engaging with vendors
• Purchase: Ready to buy

Then, align the sales and marketing team to work together towards delivering the right experience at the right stage in the buyer's journey. Sellers needed the marketers to figure out which leads were in-market. The marketers needed sellers to engage those leads. ABM teams typically align on the same ICPs and metrics to build qualified pipeline together.

There are thousands of potential leads that a seller could follow up on, but they should just prioritize the ones with the highest ROI, and leave the rest to AI and automation.

Here's an example 6sense workflow:

• Awareness: Marketing identifies the best accounts via the buyer's digital footprint on the web, finds the buying committee, and then adds them to social ad campaigns on Facebook and LinkedIn
• Consideration: Marketing adds the buying committee members into nurture/education campaigns to provide value
• Decision: Landing pages and chatbots are personalized to the buyer. Target accounts are routed to the right sales rep
• Purchase: CRM, marketing automation systems and the website capture buying signals. This is when the account is in-market to buy, and sales should chase

Understanding where the buyer was in their journey made marketers and sellers more relevant and customer-centric in their outreach timing, targeting, and messaging.

Taking a multi-threaded approach where everyone on the buying committee was engaged increased sales velocity, conversions, and ASPs.

Sales and marketing were going to market together, which boosted overall ROI.

ABM started to work and cut through the noise:

• The first person in the conversation is 70% more ready to buy (6sense)
• 85% of marketers say ABM significantly benefited them in retaining and expanding their existing client relationships (Triblio)
• An ABM strategy can increase B2B revenue by 208% (Warc)

According to Lars Nilson, VP of Business Development at Snowflake, who ran a 200+ sales development team, when account-based marketing and account-based sales orchestrate, script, and strategize together, they saw a 3x lift rate on their meetings booked.

Limitations of Today's Account-Based Marketing

In spite of the lift from running an ABM motion, companies are still finding difficulty capturing demand. Deals are becoming increasingly complex, with more steps involved and more people to convince. The status of deals is constantly changing and faster than humans can react.

There are also fewer humans to react, period, because of the headcount reduction. Sales reps are working double-time to engage quickly and effectively with more accounts on increasingly complex deals. People are fried.

Sometimes it could take weeks, months, quarters to fully implement an ABM solution. It could take a while before sales and marketing and in full alignment on their ICP and agreed upon processes. Takes time to find a dedicated owner of the ABM tool. People are constantly shifting, so the CMO that brought on the ABM solution may leave midway through implementation. And the sales team that was onboarded today may not be the sales team that uses it tomorrow.

A strong signal on an account that's in-market to buy is only useful if it's acted upon, and better yet, acted upon immediately. Speed kills sales. Drafting a personalized email to a hot account a day after may be too late.

Human systems do not scale well, especially as organizations and the number of leads to keep track of gets larger.

The Challenge of Data Silos and Integration

The market is starting to consolidate tooling; however, you still have 5 to 6 solutions that need to work in tandem to execute effective ABM. For example there's conversational intelligence, sequencing, email, LinkedIn, Slack, CRM, buyer intent, etc. Humans still need to toggle between three screens to conduct analysis and pinpoint key moments in a buyer's journey. Revops needs to manage multiple vendors, which oftentimes have duplicate features.

But the biggest issue is having multiple data siloes to manage. With systems needing to integrate back and forth, it can be difficult to have a single set of robust, accurate data to automate workflows or run AI models off of.

The problem compounds as the size of the organization and prospect base grows.

Pretty soon there are processes to maintain processes, and, depending on your time horizon, the upfront setup and maintenance cost may introduce more harm to the team rather than the ROI promised.

The Need for Speed, Coverage, and Consistency in ABM

For ABM to work well, you need speed, coverage, and consistency.

Most sales teams are not set up to react in real-time, which breaks them out of their workflow. It takes significant orchestration to complete the ABM motion successfully at every step.

If there is a big marketing campaign that drives traffic, there may not be enough rep coverage to engage all the buyers.

In both cases, there is a revenue leak in the funnel because speed, coverage, and consistency fall short.

It means you're not engaging or fast enough with your in-market target accounts (3% of your TAM) who are in the decision/purchase stage, which costs you deals today.

You're also missing out on the opportunity to build relationships with target accounts that are not in-market (97% of your TAM) in the awareness/consideration stage, which will potentially cost you even more deals tomorrow and beyond because those accounts may be building an early relationship with your competitors.

Up Next: The Era of Account-Based Orchestration

Read Part III, where we'll delve into the evolution from account-based marketing to account-based orchestration. We'll explore how this transition enhances the speed and precision of delivering a tailored buying experience to your Ideal Customer Profile (ICP).

This article is Part I of a 4-part series on the shifting landscape of B2B buying and selling, how revenue teams have adapted, and where we think the market is headed.

TL;DR:

• B2B SaaS experienced a golden era with an influx of capital and a focus on go-to-market strategies.
• The traditional sales funnel and data-driven processes became the foundation of go-to-market understanding.
• The market saw an explosion of SaaS solutions and an increase in email deluge, leading to declining conversion rates.
• The pandemic brought about significant changes in buyer behavior, with a rise in digital communities and increased reliance on content consumption for decision-making.
• The digital transformation paradox emerged as conventional funnel metrics struggled to capture evolving buying behavior, leading to the need for companies to adapt and evolve.

The Golden Era of B2B SaaS: 2018-2022

The years from 2018-2022 could be called the Golden era of pre-AI startups. B2B SaaS was living its best life. Startups were bathing in cash. They were getting their rounds pre-empted because deals were becoming that hot.

(Image Source)‎

I remember just two years back in 2021, there was a saying in the startup community that it was easier to raise money than it was to hire great talent.

The Capital Influx

Initially, we saw the influx of capital into SaaS businesses often channeled into go-to-market strategies. B2B SaaS companies hired like nobody’s business: sales reps, ad spend, sales reps, marketing tools, and more sales reps. Resource bloat accrued because of the mounting pressures to produce in order to meet valuation expectations.

This forced the hands of many B2B SaaS startups to hire too many employees to hit those targets. As the economy has continued to recede in 2023, shareholders, boards, and VC firms alike are asking nearly every startup to surrender to a RIF - aka layoffs - to reduce the bloated, unproductive staff.

GTM Strategies

The traditional construct of going to market was that of the sales funnel. Tools like ZoomInfo and Outreach would make one sales rep feel like the power of ten sales reps. But instead of cutting back, companies went all in, flooding the market with outbound — more dials and cold outbound calls, and more mass emails out the digital door.

With so many bodies, predictability and structure became the name of the game. I remember being curious about sales and asking Larson Stair, an expert sales founder in our Techstars batch.

"What makes a salesperson great?" — Alan

"Process." — Larson

Sales with a process is a science, which makes it more predictive. Without a process, it was emotion, which made it less predictive. VCs have historically pushed for predictability, which pushed for certainty in measurement. What is the best visualization of this predictability? The Marketing-to-Sales Funnels with conversion rates at every step.

(Image Source)‎

At the same time, with the explosion of data, whatever could be measured was measured. Everything became seemingly quantifiable when the funnel was the foundation of go-to-market understanding, turning GTM into a science, and sales and marketing as “the scientist” executing the experiments.

The SaaS Startup Explosion: the 2020s

As venture capital continued to flow into the 2020s, the SaaS market saw an influx of tools, thanks also to the commoditization of API software development. Competitor apps could be spun up overnight with just a handful of developers. The availability and affordability of cloud service helped ensure that the entrepreneurial developers sitting inside a B2B SaaS company could develop revenue-producing applications to their heart's content.

Carina, Zack, and I built one such competitor tool during our time at Techstars without knowing anything about the space.

Everyone started building and buying everything. Then, the capital and the revenue started coming in - and it was good. However, when everyone starts making money, good decisions start going out the window. Lots of shelfware was created and sold to consumers who were sold something that didn’t deliver value.

The Email Deluge and Declining Conversions

Inboxes exploded from the deluge of emails. Eventually, Google started throwing certain domains into spam. Whole cottage industries emerged just to warm emails to improve deliverability so companies could send more.

Conversion rates started declining.

But the pressure mounted. What did people do? More hands on deck. 5% closed won conversion last year, 1% conversion this year? No problem. Pump up the top of the funnel to sustain revenue growth.

If your job was on the line, why fix something that wasn't broken? Plus, who had the bandwidth to innovate when the existing system was barely afloat? Nobody ever got fired for buying IBM.

Lots of hungry reps to feed right now. Where are all the MQLs, form fills, white papers, and link clicks? Because of the short time horizon of CROs, the whole go-to-market team needed to operate on a similar timescale.

The Pandemic's Impact on Business

Then 2020 ...

The pandemic changes everything.

It completely disrupts B2B SaaS marketing, in ways that are still being felt today.

And it all started with B2B SaaS buyers.

The Buyer's Evolution

Let's talk about what happened to the buyer.

Forget B2B SaaS products for a second. For the first time, during the pandemic, buyers were building entire teams without ever meeting face-to-face with their new hires.

As a result, B2B SaaS providers had to learn how to connect with buyers that were increasingly connecting with peers, potential clients, and sales teams entirely online.

The Rise of Digital Communities

Demand for community skyrocketed. Reddit, Discord, and Zoom engagement shot up. And in the wake of all this, professional communities like Pavilion started sprouting up everywhere. LinkedIn evolved into a real professional social network.

Suddenly, buyers, who in the past, would meet each other maybe once or twice a year at conferences to exchange ideas about B2B SaaS solutions, can poll thousands at a time, globally, for advice on whether to use Outreach or SalesLoft, Hubspot or Marketo in a single post, and get curated answers back within minutes.

Content Consumption

With social media engagement at an all-time high, consumption of marketing content like e-books, blog posts, podcasts, influencer endorsements, and peer reviews soared.

In 2020 alone, media uploads increased by 80% YoY, driven by an influx of social media marketing in the SaaS space. How-to videos, explainers, pre-recorded sales pitches: B2B buyers were absorbing it all.

The increase in content consumption meant that demand generation became a key factor in the B2B SaaS business model.

B2B Decision-Making

As well as consuming more and more content during the buying process, the way organizations decided on when and why to purchase a SaaS product also changed.

In particular, partnership programs - for example, Hubspot and Salesforce's app ecosystem - started gaining traction as a go-to-market channel, with buyers increasingly making purchase decisions from trusted B2B software vendors.

The Digital Transformation Paradox

Consequently, B2B SaaS underwent a digital transformation overnight.

The change was swift. But, ironically, as the world digitized, conventional SaaS metrics struggled to capture the evolving buying behavior.

Private Slack chats, influencer endorsements, or old-school phone calls - the funnel couldn't track these. The same large quantity of SaaS vendors still existed. It's just now the buyers could see them all a bit more clearly.

The Dark Funnel and Its Impact on B2B Marketing

In the past, companies could track customer interactions through traditional marketing automation platforms. However, with the rise of third-party marketing channels like podcasts, events, influencer marketing, and organic social media, companies are unable to track these interactions effectively. This lack of tracking has led to a major shift in the distribution of content and communication between companies and their customers.

(Image Source)‎

The software vendor landscape was vast, but now, buyers had a clearer view. The competition between vendors became fierce, with countless "Top X tools for Y" lists and regular Gartner and G2 matrices to guide buyers.

Still, the traditional sales and marketing model that drove buyers down the funnel persisted, even as it was seeing diminishing returns. A decade of conditioning led ingrained these large processes of generating Leads to MQLS to SQLs, as well as the people who maintained them.

The Informed Buyer

But here's the twist: Buyers were leveling up. They were more informed and more savvy. At least that's what they thought:

• 70% of the buyer’s journey is done digitally before talking to a salesperson (Sirius Decisions)
• 80% of B2B purchasers said that they would not even speak to a salesperson until they had done their own research (The Corporate Executive Board)
• 80% of business decision-makers prefer to get company information from a series of articles versus an advertisement. (B2B PRSense)
• 84% of B2B decision-makers begin their buying process with a referral. (Sales Benchmark Index)
• 86 percent of buyers use peer review sites when buying software (G2)

The number of people in the SaaS solution buying committee was also becoming much larger. Each member has their own needs that must be met before the purchase can go through, so that means different messaging and timing for different personas.

It was like wringing water from a rock and suddenly finding yourself in a desert. That's okay because the VC well always had more rocks to pull from.

Navigating the New Demand Landscape

Post-pandemic, B2B SaaS companies faced a fresh challenge: the funding bubble began to deflate. Buyers tightened their belts. Sales quotas were missed.

Traditional methods seemed outdated in this new reality.

While many clung to old strategies, successful B2B SaaS organizations recognized the need for efficiency and adaptability. They shifted focus from lead generation to efficient demand capture and demand creation, emphasizing trust and authenticity in an informed buyer's world.

"How can I sell you something," no longer works. The approach must be proactive: "What does my customer need from me." Companies like Aligned have built the digital sales room to create better buying experiences.

In this evolving landscape, it's not about who spends the most - on sales teams, marketing campaigns, or SaaS tools - but who adapts the best.

Now that you're keyed up on the changes in the B2B market pre- and post-pandemic, read on for Part II, the future of account based marketing.

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