Article

2025 Predictions: GTM Becomes A Focused Team Sport

Dynamic B2B Data
Dynamic B2B Data
Dynamic B2B Data
Dynamic B2B Data

This week marks the end of 2024 and the start of 2025. So what did we learn in 2024 and what are the next big things that will drive GTM excellence this coming year?

Economic uncertainty drove prioritization and doing more with less and became the central theme in 2024. Departments moved to consolidate vendors, measure ROI and analyze the Revenue Data and AI signals that mattered the most. Some of the shine came off of company-level signals as GTM teams looked to find demand signals that are more actionable – intent at the city level not just country, persona signals not just department, product signals to indicate divisions. GenAI for content development became rampant and many organizations, departments and teams deployed multiple tools across multiple channels. But here’s the rub. Most of these efforts were done at the departmental level. Siloed efforts in Sales or Marketing.

How is this possible? Revenue operations or RevOps professionals are all championing joint strategies across sales and marketing, right? But how many revenue ops people are out there?  If you search the hundreds of millions of titles in LinkedIn you will see that there are very few companies that have anyone with the title of revenue operations – less than 1 percent of the companies on LinkedIn. So most sales and marketing operations are left to making this happen on their own – in separate departments with separate budgets and often separate goals.

What does this spell? S_I_L_O_S. Data silos. Strategy silos. Budget silos. Performance silos. And what are the companies who are actively breaking down these silos doing?

I’ll share a story about a high tech company in the hardware industry. In this company, both sales and marketing operations report into the COO. The team was tasked to work together to reorganize the sales and marketing investments. They started first by identifying a TAM for every company out there that mattered and rank ordered them for a new sales and marketing coverage model. Once this was done, then all investments in both sales and marketing were tasked with focusing engagement efforts squarely on this prioritized set of accounts, prioritized buying teams and prioritized solution offers. Within a few quarters more than 80% of the inbound lead flow of the company fell within the TAM. This focus meant increased pipeline generation in the right accounts with the right buyers and the right value proposition. This spells F_O_C_U_S. So how will this be tackled in 2025?

Let’s face it. Sales, marketing and SDR teams are in the same company but on separate teams – from the data and tools they use to the targets and goals they have. Alignment is missing across most B2B organizations. We believe it will fall on RevOps or tight coupled sales and marketing ops teams to take the lead in turning Go-to-Market (GTM) efforts across organization into a team sport. CMOs and CROs will be responsible for tearing down the walls between sales and marketing. Why do we believe this? Let’s look at three main predictions we expect to see championed by RevOps in the B2B sales and marketing environment in 2025 to overcome organizational misalignment.

2. GTM teams will become aligned on actionable buying signals. They will agree on what they are and what they mean and prioritized into a shared resource across teams. Individual signals will not be good enough.

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Identifying B2B Buying Teams

Product sheet

Leadspace Buying Team Intelligence

B2B deals don’t close because one contact engages, they close when an entire buying committee aligns. Yet most GTM systems still operate at the individual record level, leaving revenue teams blind to the relationships, roles, and signals that actually drive decisions.


Leadspace’s Buying Team Intelligence makes buying groups visible, measurable, and actionable by connecting people to roles, accounts, hierarchies, and real-time buying signals in a unified, living data graph.


The result: sales, marketing, and RevOps teams can identify who truly influences and approves decisions, prioritize accounts showing coordinated buying activity, and orchestrate multithreaded engagement based on how buyers actually buy rather than on how CRM records are structured.

Identifying B2B Buying Teams

Product sheet

Leadspace Buying Team Intelligence

B2B deals don’t close because one contact engages, they close when an entire buying committee aligns. Yet most GTM systems still operate at the individual record level, leaving revenue teams blind to the relationships, roles, and signals that actually drive decisions.


Leadspace’s Buying Team Intelligence makes buying groups visible, measurable, and actionable by connecting people to roles, accounts, hierarchies, and real-time buying signals in a unified, living data graph.


The result: sales, marketing, and RevOps teams can identify who truly influences and approves decisions, prioritize accounts showing coordinated buying activity, and orchestrate multithreaded engagement based on how buyers actually buy rather than on how CRM records are structured.

Identifying B2B Buying Teams

Product sheet

Leadspace Buying Team Intelligence

B2B deals don’t close because one contact engages, they close when an entire buying committee aligns. Yet most GTM systems still operate at the individual record level, leaving revenue teams blind to the relationships, roles, and signals that actually drive decisions.


Leadspace’s Buying Team Intelligence makes buying groups visible, measurable, and actionable by connecting people to roles, accounts, hierarchies, and real-time buying signals in a unified, living data graph.


The result: sales, marketing, and RevOps teams can identify who truly influences and approves decisions, prioritize accounts showing coordinated buying activity, and orchestrate multithreaded engagement based on how buyers actually buy rather than on how CRM records are structured.

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Why Waterfall Logic Matters in B2B Data Aggregation

Modern go-to-market teams are swimming in data – firmographics, technographics, intent signals, engagement scores, and countless enrichment sources.


But here’s the truth: more data doesn’t automatically make your business smarter. It often just makes it messier.


When multiple data vendors, enrichment tools, and APIs are all trying to update the same record, the result is chaos – inconsistent fields, conflicting values, duplicates, and manual clean-up that never ends.


That’s where waterfall logic becomes a game-changer.

Waterfall Logic

Article

Why Waterfall Logic Matters in B2B Data Aggregation

Modern go-to-market teams are swimming in data – firmographics, technographics, intent signals, engagement scores, and countless enrichment sources.


But here’s the truth: more data doesn’t automatically make your business smarter. It often just makes it messier.


When multiple data vendors, enrichment tools, and APIs are all trying to update the same record, the result is chaos – inconsistent fields, conflicting values, duplicates, and manual clean-up that never ends.


That’s where waterfall logic becomes a game-changer.

Waterfall Logic

Article

Why Waterfall Logic Matters in B2B Data Aggregation

Modern go-to-market teams are swimming in data – firmographics, technographics, intent signals, engagement scores, and countless enrichment sources.


But here’s the truth: more data doesn’t automatically make your business smarter. It often just makes it messier.


When multiple data vendors, enrichment tools, and APIs are all trying to update the same record, the result is chaos – inconsistent fields, conflicting values, duplicates, and manual clean-up that never ends.


That’s where waterfall logic becomes a game-changer.

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Why Keeping B2B Profiles Up-to-Date Boosts Sales & Marketing Success

Keeping B2B buyer profiles up-to-date is essential for maintaining effective sales and marketing strategies. Unfortunately, keeping profiles up-to-date is tedious and often neglected. Failing to update our customer or buyer profiles does your sales and marketing teams a tremendous disservice. Your teams could spend thousands of dollars and weeks of focus trying to get in touch with a great lead from last year, completely unaware that the person changed jobs three months ago – all because their profile within your CRM and marketing automation systems wasn’t up-to-date. People change jobs and companies go throughM&A all the time – and your sales and marketing teams need to stay informed. That’s just one of the many ways your teams will lose with outdated buyer profiles. Having accurate, up-to-date data seems like a no-brainer, right? Let’s consider why many sales and marketing teams don’t always have the data they need.


It takes a lot of buying signals to build the buyer profiles that our sales and marketing teams need to win business. Firmographics, demographics, technographics, intent, 1st-party data, predictive and engagement. Generally speaking, we can’t get all of those signals from one place. Instead, we’re forced to buy numerous sets of static data from several vendors, then blend it all together. Buying multiple sets of data from multiple sources is inherently expensive, and manually combining that data with our first-party data is time-consuming, cumbersome and error-prone. We might jump through those hurdles at first, but the problem arises when we need to update it. 


A static data set is just a snapshot in time, and there’s no way to tell when data has changed to the point where you need a new snapshot. This means that in order to ensure our buyer profiles are up-to-date, we need to regularly buy all of our data over and over again, continuously blending it all together with the old data. That’s going to be very expensive, and it’s going to require a lot of time and effort dedicated to data unification. In many cases, by the time you’ve enriched your new data with the old data, that new data has already become old data. Naturally, many companies will decide that their slightly old data is good enough because they can’t justify the cost of constant data purchases or the time spent unifying it.


Not updating your buyer profiles is a huge mistake in a world of data-driven decision making, where all of the decisions you make depend on having accurate, complete and up-to-date data. Even the best predictive AI models will point you in the wrong direction if the data being analyzed isn’t correct. Simply put, if you want your sales and marketing teams to have the tools they need to reach out and close business, you need to give them buyer profiles that are dynamically updated.


Let’s look at 10 common strategies for ensuring that your buyer profiles are current and accurate, then consider a more realistic solution for automating the entire process.

Sales and Marketing Success

Article

Why Keeping B2B Profiles Up-to-Date Boosts Sales & Marketing Success

Keeping B2B buyer profiles up-to-date is essential for maintaining effective sales and marketing strategies. Unfortunately, keeping profiles up-to-date is tedious and often neglected. Failing to update our customer or buyer profiles does your sales and marketing teams a tremendous disservice. Your teams could spend thousands of dollars and weeks of focus trying to get in touch with a great lead from last year, completely unaware that the person changed jobs three months ago – all because their profile within your CRM and marketing automation systems wasn’t up-to-date. People change jobs and companies go throughM&A all the time – and your sales and marketing teams need to stay informed. That’s just one of the many ways your teams will lose with outdated buyer profiles. Having accurate, up-to-date data seems like a no-brainer, right? Let’s consider why many sales and marketing teams don’t always have the data they need.


It takes a lot of buying signals to build the buyer profiles that our sales and marketing teams need to win business. Firmographics, demographics, technographics, intent, 1st-party data, predictive and engagement. Generally speaking, we can’t get all of those signals from one place. Instead, we’re forced to buy numerous sets of static data from several vendors, then blend it all together. Buying multiple sets of data from multiple sources is inherently expensive, and manually combining that data with our first-party data is time-consuming, cumbersome and error-prone. We might jump through those hurdles at first, but the problem arises when we need to update it. 


A static data set is just a snapshot in time, and there’s no way to tell when data has changed to the point where you need a new snapshot. This means that in order to ensure our buyer profiles are up-to-date, we need to regularly buy all of our data over and over again, continuously blending it all together with the old data. That’s going to be very expensive, and it’s going to require a lot of time and effort dedicated to data unification. In many cases, by the time you’ve enriched your new data with the old data, that new data has already become old data. Naturally, many companies will decide that their slightly old data is good enough because they can’t justify the cost of constant data purchases or the time spent unifying it.


Not updating your buyer profiles is a huge mistake in a world of data-driven decision making, where all of the decisions you make depend on having accurate, complete and up-to-date data. Even the best predictive AI models will point you in the wrong direction if the data being analyzed isn’t correct. Simply put, if you want your sales and marketing teams to have the tools they need to reach out and close business, you need to give them buyer profiles that are dynamically updated.


Let’s look at 10 common strategies for ensuring that your buyer profiles are current and accurate, then consider a more realistic solution for automating the entire process.

Sales and Marketing Success

Article

Why Keeping B2B Profiles Up-to-Date Boosts Sales & Marketing Success

Keeping B2B buyer profiles up-to-date is essential for maintaining effective sales and marketing strategies. Unfortunately, keeping profiles up-to-date is tedious and often neglected. Failing to update our customer or buyer profiles does your sales and marketing teams a tremendous disservice. Your teams could spend thousands of dollars and weeks of focus trying to get in touch with a great lead from last year, completely unaware that the person changed jobs three months ago – all because their profile within your CRM and marketing automation systems wasn’t up-to-date. People change jobs and companies go throughM&A all the time – and your sales and marketing teams need to stay informed. That’s just one of the many ways your teams will lose with outdated buyer profiles. Having accurate, up-to-date data seems like a no-brainer, right? Let’s consider why many sales and marketing teams don’t always have the data they need.


It takes a lot of buying signals to build the buyer profiles that our sales and marketing teams need to win business. Firmographics, demographics, technographics, intent, 1st-party data, predictive and engagement. Generally speaking, we can’t get all of those signals from one place. Instead, we’re forced to buy numerous sets of static data from several vendors, then blend it all together. Buying multiple sets of data from multiple sources is inherently expensive, and manually combining that data with our first-party data is time-consuming, cumbersome and error-prone. We might jump through those hurdles at first, but the problem arises when we need to update it. 


A static data set is just a snapshot in time, and there’s no way to tell when data has changed to the point where you need a new snapshot. This means that in order to ensure our buyer profiles are up-to-date, we need to regularly buy all of our data over and over again, continuously blending it all together with the old data. That’s going to be very expensive, and it’s going to require a lot of time and effort dedicated to data unification. In many cases, by the time you’ve enriched your new data with the old data, that new data has already become old data. Naturally, many companies will decide that their slightly old data is good enough because they can’t justify the cost of constant data purchases or the time spent unifying it.


Not updating your buyer profiles is a huge mistake in a world of data-driven decision making, where all of the decisions you make depend on having accurate, complete and up-to-date data. Even the best predictive AI models will point you in the wrong direction if the data being analyzed isn’t correct. Simply put, if you want your sales and marketing teams to have the tools they need to reach out and close business, you need to give them buyer profiles that are dynamically updated.


Let’s look at 10 common strategies for ensuring that your buyer profiles are current and accurate, then consider a more realistic solution for automating the entire process.