Mihaela Cicvaric | September 4, 2026 | 19 min read
Mihaela Cicvaric | September 4, 2026 | 19 min read
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How to Identify Market Research EDPs That Transform SaaS Solutions
How to Identify Market Research EDPs That Transform SaaS Solutions
What is a market research EDP (existential data point)
A market research EDP, or existential data point, is a piece of research built from multiple public records that proves a prospect’s problem has moved past inconvenient and into unsustainable. It’s not something you buy from a data vendor. You assemble it yourself, connecting pieces that don’t say much on their own.
The concept comes from Doug Bell at Cannonball GTM, who drew a line between signals you can purchase and the one signal nobody sells, because nobody has it until someone does the triangulation. Standard market research data, think TAM sizing or firmographics, tells you who fits your ICP. An EDP tells you who’s actually hurting, and why waiting costs them something real.
Why existential data points matter for SaaS outbound
Most outbound treats every lead on a list the same way. A prospect matches your filters, lands in a sequence, and gets a message about features, regardless of whether they’re ready to act this week or next year.
That’s the gap EDPs close. Instead of asking “does this account fit our profile,” you’re asking “has this account crossed the point where doing nothing is the expensive choice?” When your first message names that pressure, you’re not pitching a feature. You’re naming a problem the prospect may not have put into words yet, and that shift changes how people respond.
EDPs vs. standard market research data points
Here’s the difference laid out side by side:
Dimension | Standard data point | Existential data point (EDP) |
|---|---|---|
What it measures | Market size, segments, demographics | The threshold where inaction becomes costly |
Example | “Mid-market fintech companies” | “Fintech teams losing deals because compliance checks take two weeks” |
Source | Purchased from vendors | Built by combining public records |
Buyer reaction | “Interesting, but not now” | “We need to fix this quarter” |
Standard data helps you find the right accounts. An EDP tells you when to reach them and what to say once you do. Neither replaces the other, both layers need to work together.
Five categories of existential data points
EDPs tend to cluster into a handful of patterns across SaaS verticals. Wondering where to start looking? These five categories cover most of what you’ll find.
Cost-of-inaction metrics
These show the financial bleed of doing nothing, usually visible in earnings calls, investor presentations, or benchmark reports where executives quantify a gap on the record. A SaaS company selling ecommerce tools, for instance, might find that mid-market brands are losing a measurable share of revenue to cart abandonment their current stack can’t fix.
Compliance and regulatory deadlines
Hard deadlines set by an outside authority force a decision. When GDPR enforcement tightened, every company handling EU data faced a binary choice, comply or risk a fine. Deadlines like this build urgency directly into the calendar.
Competitive displacement signals
Look for proof that a prospect’s direct competitors have already adopted a solution. Vendor case studies, G2 reviews, and competitor press releases are good places to check. If three of a prospect’s five named competitors show up on a vendor’s customer page, the pressure to at least take a look becomes hard to ignore.
Operational failure thresholds
This is the point where a manual process or legacy tool breaks under scale. A sales team running outbound from spreadsheets often hits a wall once volume climbs past what a person can track by hand. Sudden hiring in ops roles, or recurring complaints in public reviews, are usually the first sign.
Growth ceiling indicators
These signal that a company’s current setup can’t support where it’s headed next: a new market, a new buyer persona, a new region. Funding announcements, product launches, and hiring patterns on LinkedIn are worth checking here.
How to identify EDPs for any SaaS vertical
The process is repeatable once you understand the logic behind it. You’re working backward from the outcome your product delivers to the moment a prospect realizes waiting isn’t an option.
1. Define the buying trigger you want to prove
Start with one question: what specific condition makes your product a must-have, not a nice-to-have? If you sell deliverability software, that might be “email domain blacklisted mid-campaign.” Keep it to one trigger per EDP. Precision matters more than breadth here.
2. Research the pain landscape across public sources
This is the assembly work, and it’s exactly why competitors often miss it, the sources are public, but scattered.
- Earnings calls and investor presentations: executives name operational problems on the record, every quarter
- Industry subreddits and forums: unfiltered complaints reveal the language prospects actually use
- Job postings: a sudden RevOps hire often means an existing process just collapsed
- G2 and Capterra reviews: negative reviews of competitors point straight at the gaps your product fills
3. Quantify the threshold where pain becomes action
Knowing prospects are “frustrated” isn’t enough on its own. Ask your sales team where, in past conversations, closed-won deals shifted from exploring to urgent. The answer usually comes with a number, a deadline, or a visible consequence attached to it.
Tip: If your reps keep hearing the same complaint across wins, you’ve likely found a reliable EDP. Cross-check it against closed-won notes in your CRM to see if the pattern holds.
4. Validate EDPs against real buyer conversations
The last step is checking whether your EDP actually predicts urgency. Pull call recordings, CRM notes, and the exact words buyers used when they decided to move forward. If the pattern shows up often in wins and rarely in stalled deals, it’s validated.
Mapping market pain by frequency and intensity
Once you’ve got a set of EDPs, plot each one on two axes: how often it shows up across your ICP, and how intense the pain is when it does. This helps you decide where to spend your outbound energy first.
- High frequency, high intensity: lead with these in your main sequences
- High frequency, low intensity: save these for nurture, they rarely drive urgent replies alone
- Low frequency, high intensity: a good fit for narrow, account-based plays
- Low frequency, low intensity: worth cutting from your messaging entirely
Spend your research time on the top-right quadrant. Everything else either waters down your message or narrows your audience past the point of being useful.
How to turn EDPs into outbound messaging and campaign angles
Finding an EDP is half the job. The real question is how you turn it into a message someone actually replies to.
Anchor the opening line to a specific EDP
Compare a generic opener to one anchored in an EDP:
- Generic: “I help mid-market SaaS companies improve their outbound results.”
- EDP-anchored: “Noticed you opened two SDR roles this month while your G2 reviews mention slow CRM syncs, scaling outbound on broken data usually costs pipeline.”
The second version names a collision the prospect might not have connected yet. That’s the whole point of doing the research in the first place.
Build the sequence around the must-have threshold
Instead of introducing a new feature in every follow-up, keep adding angles to the same EDP. Show how the cost compounds over time, or reference what happened to a similar company that waited too long.
Match the EDP to the right buyer persona
A VP of Sales cares about pipeline velocity. A RevOps lead cares about broken workflows and data hygiene. Map each EDP to the person it hits hardest, and write a separate sequence for each rather than blending angles together.
lemlist’s multichannel sequences let you run these persona-specific campaigns from one workflow, across email, LinkedIn, and calls, so the research actually reaches the right inbox.
How AI automates EDP identification with Claude Skills
Manual EDP research works, but it’s slow. Pulling records from scattered public sources and turning them into a usable insight can take hours per vertical, and most teams don’t have hours to spare.
What the market research EDP skill does
lemlist’s Claude Skills integration takes your ICP definition and surfaces EDPs from public data automatically, scoring each one by relevance. The output feeds straight into your sequences, so the research-to-campaign loop closes without a manual handoff in between.
How to install and run the skill
Setup is a JSON config and an API key generated inside lemlist, connected to Claude Desktop or another MCP client. From there, describe your ICP and target vertical in a prompt, and the agent returns categorized EDPs ready for campaign use, in minutes rather than days.
→ Start a 14-day free trial to run EDP-driven outbound with lemlist’s AI agents, or book a demo to see the workflow in practice.
Run market research that fills your pipeline
Most SaaS teams already have the firmographics. They have the TAM. Some even have intent data. What’s usually missing is the assembled insight that tells a prospect why waiting costs them something real, right now.
That’s what an EDP adds. If your research process stops at describing the market, you’re leaving urgency, and pipeline, on the table.
FAQs about market research EDPs
What does EDP stand for in market research?
In B2B outbound, EDP stands for existential data point: research built by combining public records to show a prospect’s problem has reached a point where inaction carries a real cost. This differs from the older use of EDP (electronic data processing), which refers to computer systems used to process transactional data.
Can SaaS teams use EDPs for inbound marketing too?
Yes. The same EDPs that sharpen outbound messages work just as well on landing pages, ad copy, and content, since they speak to pain the buyer already recognizes.
How often do teams typically refresh EDP research?
Quarterly is a reasonable starting cadence, or sooner if your win/loss patterns shift noticeably. Competitor moves, new regulations, and changing bottlenecks all affect which EDPs still resonate.
What’s the difference between an EDP and a buying trigger?
A buying trigger is the event that kicks off a purchase process, like a new hire or a funding round. An EDP explains why that event creates urgency in the first place, the trigger is the “what happened,” the EDP is the “why it hurts.”
What is a market research EDP (existential data point)
An EDP, or existential data point, is a piece of research built (not bought) from multiple public records that, when combined, reveal a prospect’s problem has crossed from inconvenient to unsustainable. The concept, coined by Doug Bell at Cannonball GTM, draws a line between signals you can purchase from a vendor and the one signal with no second customer, because nobody has it until someone does the triangulation. (The Signal Nobody Sells You) (The Signal Nobody Sells You)
Where traditional intent signals tell you who’s shopping, the EDP tells you who’s suffering. (The Signal Nobody Sells You) That distinction matters because most market research used in outbound today stops at describing the market. Firmographics tell you who fits. Intent data tells you who’s active. An EDP tells you who has to act, and why inaction carries a real cost.
Think of it this way: standard market research data points like TAM sizing, buyer demographics, or technographic fit are descriptive. They answer “who could buy.” An EDP answers “who will regret not buying.” The difference between a prospect who says “interesting, but not now” and one who says “we need to fix this quarter” is usually an existential data point sitting in plain sight, unassembled.
Why existential data points matter for SaaS outbound
Most B2B outbound treats every prospect on a list the same. A lead matches the ICP filters, lands in a sequence, and gets a message about the product’s value. Yet the timing question, the part that determines whether anyone replies, is left to chance.
EDPs change what you’re actually doing when you research prospects. Instead of looking for accounts that fit a profile, you’re looking for accounts where a specific combination of conditions has made inaction expensive. Existential data points help identify who urgently needs a product or service now as a critical business imperative. (Existential Data v/s Intent Signals In B2B Sales | StephanieHolland.Co) When your first touch references that kind of pressure, the conversation starts differently. You’re not pitching a feature. You’re naming a problem the prospect may not have fully articulated yet.
EDPs vs. standard market research data points
The easiest way to see the difference is side by side.
Dimension | Standard data point | Existential data point (EDP) |
|---|---|---|
What it measures | Market size, segments, buyer demographics | The threshold where inaction becomes costly |
Example | “Mid-market SaaS companies in fintech” | “Fintech teams losing deals because manual compliance checks take two weeks” |
Source | Purchased from data vendors or captured on your own site | Built by combining multiple public records |
Outbound use | Targeting and list building | Messaging angle and campaign timing |
Typical buyer reaction | “Interesting, but not now” | “We need to fix this quarter” |
Standard data helps you find the right accounts. You don’t pick one over the other. You use the EDP to define the universe and intent signals to time your entry into it. (The Signal Nobody Sells You) Both layers have a job. The EDP adds the urgency layer that standard research consistently misses.
Five categories of existential data points
EDPs cluster into recurring categories across SaaS verticals. Each one signals a different type of buying trigger, and recognizing the category helps you know where to look.
Cost-of-inaction metrics
Data showing the financial bleed of doing nothing. A SaaS company might discover through quarterly earnings transcripts that mid-market ecommerce brands are losing a measurable share of revenue to cart abandonment rates their current tooling can’t reduce. The cost of inaction is concrete: it shows up in a P&L line item every quarter.
You can often find these in earnings calls, investor presentations, or industry benchmark reports where executives quantify operational gaps on the record.
Compliance and regulatory deadlines
Hard deadlines imposed by external authorities that force action. When GDPR enforcement ramped up, for example, every company handling EU customer data faced a binary: comply or face fines. These deadlines create natural campaign timing windows because the urgency is built into the calendar.
Competitive displacement signals
Evidence that a prospect’s direct competitors have already adopted a solution, creating pressure to follow or fall behind. You can spot these in competitor press releases, case studies published by vendors, or G2 category reviews. When three of a prospect’s five named competitors appear on a vendor’s customer page, the pressure to evaluate becomes hard to ignore.
Operational failure thresholds
The point where a manual process or legacy tool breaks under scale. A sales team that ran outbound in spreadsheets at 50 leads a week often hits a wall at 500. These thresholds typically surface in job postings (suddenly hiring for ops roles that didn’t exist before) or in support ticket patterns visible through public review sites.
Growth ceiling indicators
Signs that a company’s current approach caps their growth. Expansion into a new market, a product launch targeting a different buyer persona, or a new geographic region where existing tooling doesn’t work. ICP-level market research can surface these if you’re looking at company news, funding announcements, or LinkedIn hiring patterns with the right lens.
How to identify EDPs for any SaaS vertical
The process is repeatable once you understand the logic. You’re working backward from the outcome your product delivers to the moment a prospect realizes they can’t delay any longer.
1. Define the buying trigger you want to prove
Start with a single question: what specific condition makes our product a must-have? If you sell deliverability software, the trigger might be “email domain blacklisted while running a campaign at scale.” If you sell compliance tooling, it might be “first regulatory audit scheduled with no system in place.” One trigger per EDP. Precision matters here.
2. Research the pain landscape across public sources
This is where the assembly work happens. You’re pulling from sources that are public but scattered, which is exactly why your competitors typically haven’t connected them either.
- Earnings calls and investor presentations: executives name their biggest operational problems on the record, quarterly
- Industry subreddits and community forums: unfiltered complaints reveal the exact language prospects use to describe pain
- Job postings: hiring patterns signal where teams are breaking (a sudden RevOps hire often means the existing process collapsed)
- G2 and Capterra reviews of competitors: negative reviews of your competitors’ products expose the gaps your product fills
3. Quantify the threshold where pain becomes action
Qualitative pain is a starting point, not a finish line. Move from “they’re frustrated” to a specific tipping point. Lost-deal analysis and prospect interviews are the best sources here. Ask your sales team: at what point in the conversation did closed-won deals shift from “exploring” to “urgent”? The answer is usually a number, a deadline, or a visible consequence.
Tip: If your sales team keeps hearing the same problem repeated across wins, you’ve likely found a reliable EDP. Cross-reference it against your CRM’s closed-won notes to confirm the pattern holds.
4. Validate EDPs against real buyer conversations
The final check is whether your EDP actually predicts urgency. Review call recordings (tools like Claap or Gong give you searchable transcripts), CRM notes from closed-won deals, and the specific language buyers used when they decided to move forward. If your EDP shows up repeatedly in winning conversations but rarely in stalled ones, it’s validated.
Mapping market pain by frequency and intensity
Once you’ve identified a set of EDPs, plot them on two axes: how often the pain occurs across your ICP (frequency) and how intense it is when it does (intensity). This framework helps you prioritize which EDPs to build campaigns around first.
- High frequency + high intensity: lead with these in your primary outbound sequences. They apply to many accounts and drive fast action.
- High frequency + low intensity: useful for nurture campaigns, but unlikely to generate urgent replies on their own
- Low frequency + high intensity: strong for account-based plays targeting a narrow segment where the pain, when it hits, is severe
- Low frequency + low intensity: deprioritize or cut entirely from your messaging
The goal is to spend your research time on EDPs that sit in the top-right quadrant. Everything else either dilutes your messaging or narrows your addressable audience too far to run a campaign against it.
How to turn EDPs into outbound messaging and campaign angles
Identifying an EDP is the research half. The other half is translating it into outreach that converts. The gap between a good insight and a booked meeting usually comes down to how specifically you use the EDP in your actual messaging.
Anchor the opening line to a specific EDP
The first line of any cold email or LinkedIn message works best when it references the prospect’s existential pain directly, not a generic value prop. Compare:
- Generic: “I help mid-market SaaS companies improve their outbound results.”
- EDP-anchored: “I noticed [Company] opened two SDR roles this month while your G2 reviews mention slow CRM syncs. Scaling outbound on top of broken data usually costs pipeline.”
The second version names a collision the prospect may not have articulated yet. That’s what EDPs do in practice.
Build the sequence around the must-have threshold
Each follow-up in your sequence can reinforce why the pain worsens over time. Instead of introducing unrelated features in email two, three, and four, add a new angle on the same EDP. Show the compounding cost. Show what happened to a similar company that waited. Keep the pressure honest and specific.
Match the EDP to the right buyer persona
Different personas within the same account feel different EDPs. A VP of Sales cares about pipeline velocity and quota attainment. A RevOps lead cares about data hygiene and workflow breakage. Map each EDP to the persona it hits hardest, then write separate sequences for each. One EDP per persona per campaign.
lemlist’s multichannel sequences let you run these persona-specific campaigns from a single workflow, across email, LinkedIn, and calls, so the research you did on each EDP actually reaches the right person through the right channel.
How AI automates EDP identification
Manual EDP research is powerful but time-consuming. Pulling records from multiple public sources, combining them, and writing a campaign-ready insight for each account can take hours per vertical.
This is where AI agents change the math. lemlist’s data enrichment agents and Intent Signal Agents pull structured insights from LinkedIn, company websites, CRM data, and news sources, then surface the patterns that make up an EDP. When an intent signal fires on top of an existing EDP segment, lemlist can automatically add the lead to a campaign with messaging personalized to that exact moment.
With lemlist MCP (the Claude integration), you can describe your ICP and target vertical in a prompt, and the agent returns categorized EDP-relevant insights, ready for campaign use. Setup is a JSON config and an API key. The research-to-campaign loop closes without manual handoff, so you go from identified pain to live sequence in minutes instead of days.
→ Start a 14-day free trial to run EDP-driven outbound with lemlist’s AI agents, or book a demo to see how it works in practice.
Run market research that fills your pipeline
The gap between market research and pipeline is where most SaaS teams stall. They have the firmographics. They have the TAM. They even have intent data. What they’re missing is the assembled insight that tells a prospect why inaction is expensive right now.
EDPs close that gap. They help identify who urgently needs a solution now, as a business imperative. It’s the difference between identifying who’s browsing and who has to move soon. (Existential Data v/s Intent Signals In B2B Sales | StephanieHolland.Co) If your current research process stops at descriptive data, you’re leaving urgency, and pipeline, on the table.
FAQs about market research EDPs
What does EDP stand for in market research?
In the context of B2B outbound, EDP stands for existential data point. It’s a data point that is not captured or bought, but built (The Signal Nobody Sells You) (The Signal Nobody Sells You) by combining multiple public records to reveal that a prospect’s problem has reached a point where inaction carries real business cost. This is distinct from the older acronym EDP (electronic data processing), which refers to computer-based information systems used to manipulate raw data to reflect transactional relationships. (What are Electronic Data Processing (EDP) Systems? | Quirk’s Glossary of Marketing Research Terms)
Can SaaS teams use EDPs for inbound marketing positioning too?
Yes. The same EDPs that drive outbound messaging work as angles for landing pages, ad copy, and content marketing. Because they speak to pain the buyer already recognizes, they tend to improve conversion rates on inbound assets as well.
How often do SaaS teams typically refresh EDP research?
Quarterly is a reasonable cadence, or whenever your win/loss patterns shift noticeably. The market conditions that create urgency (competitor moves, regulatory changes, operational bottlenecks at scale) evolve, and an EDP that drove replies six months ago might no longer resonate.
What is the difference between an EDP and a buying trigger?
A buying trigger is the event that starts a purchase process: a new hire, a funding round, a product launch. An EDP is the underlying data that explains why that event creates urgency. The trigger is the “what happened.” The EDP is the “why it hurts.” Your outreach gets a stronger angle when you can name both.
Content Marketing Manager @lemlist
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