How Intent Data Helped a Sales Team Close 86 Deals

Last Tuesday, Sarah made 80 cold calls. 72 people hung up. 5 scheduled calls, none showed. 3 had conversations. Zero meetings booked. That's 6.5 hours of work for nothing.

Now compare that to her colleague Jake. He called 20 companies, all showing in market buying signals. 14 answered. 8 wanted to talk. 4 booked meetings.

Same product. Same pitch. The only difference? Jake called people who were already researching solutions. This is the gap between spray-and-pray prospecting and intent-signal-driven sales.

The In Market Audience Data Study: 200,000 Prospects Over 12 Months

We tracked buying behavior across 200,000 B2B prospects from January through December 2025. Here's what we found:

The math is simple: Without In Market Audience Data, you're calling 1,000 people hoping to find the 28 in-market (you don't know who they are). With In Market Audience Data, you call 200 people, 180+ are in-market and book 5-10x more meetings.

Case Study: ABC Software (6 Deals/Month to 86 Deals/Month)

Before In Market Audience Data (Q1 2025)

ABC Software had 4 SDRs making 100 calls each per day. Total: 8,000 calls per month.

SDR morale was LOW. 92% of their calls were rejections. Cost per deal: $4,800.

After In Market Audience Data (Q4 2025): Using Multiply Revenue

Same 4 SDRs, but now calling only active shoppers (30 per day each). Total: 2,400 calls/month, 70% fewer calls.

In market buying signals tracked:

• Pricing page visits (3+ times in 7 days)
• Case study downloads
• Demo video views
• Competitor comparison searches
• High-purchase-intent keywords from AI call analysis

SDR morale was HIGH. 58% of calls were productive conversations. Cost per deal dropped to $1,200.

In Market Audience Data Explained: The Non-Technical Version

Think of it this way: When someone's house is on fire, they don't casually browse firefighter websites. They call 911 immediately. Their behavior SCREAMS urgency.

In Market Audience Data tracks digital 'smoke signals' that reveal who's actively researching solutions and how urgently they need them.

Real Example: Tracking Intent Over Time

Company XYZ visited your site 3 times last week. Here's what we tracked:

Without intent tracking? This would've been a cold call weeks later. By then, they'd already bought from a competitor.

The 15 Online Shopping Signals Multiply Revenue Tracks

High-Urgency Signals (Call Within 24 Hours)

• Pricing page visits (3+ in 7 days) → They're comparing costs, close to decision
• Demo request form submitted → Actively evaluating, ready to see product
• Competitor comparison search → Down to 2-3 vendors, making final choice
• Contract/legal terms page visit → Getting legal approval, almost ready to sign
• ROI calculator usage → Building business case for purchase

Medium-Urgency Signals (Nurture + Call Within 7 Days)

• Case study downloads (2+) → Looking for proof, building confidence
• Webinar attendance → Investing time to learn, serious interest
• Email click-through (3+ clicks) → Engaged with content, showing interest
• Multiple team members visiting site → Socializing internally, buying committee forming
• G2/Capterra review page visits → Comparing vendors, reading reviews

Low-Urgency Signals (Monitor + Nurture)

• Blog post reads (educational) → Early research phase
• LinkedIn profile views → Researching your company/team
• Social media engagement → Aware of brand, building familiarity
• Podcast/YouTube views → Consuming long-form content, building trust
• Industry event attendance → In your ecosystem, potential for relationship

How Multiply Revenue Scores Accounts

We assign point values to each signal:

• High-urgency signals: 10-15 points
• Medium-urgency signals: 5-10 points
• Low-urgency signals: 1-5 points

30-Day Implementation Plan

The In Market Audience Data Advantage Won't Last Forever

Right now, you're early. Only 22% of B2B sales teams use In Market Audience Data (Forrester, 2025). That means 78% of your competitors are still cold-calling blindly.

But by this time next year, intent-signal-driven sales will be standard practice. Companies that moved early will have 12+ months of scoring data (AI getting smarter every day), optimized playbooks and proven ROI.

Companies that wait will be scrambling to catch up.

What to Do Next

• Calculate your current cost: How much do you spend on wasted outreach? (Sales team size × salary) ÷ deals closed = cost per deal. If it's >30% of deal value, you're wasting money calling prospects who aren't actively shopping.
• See In Market Audience Data in action: Book a 20-minute screen share. We'll show you live in market buying signals from your actual prospects, which accounts are researching RIGHT NOW and projected ROI.
• Test for 30 days: Try Multiply Revenue intent-signal tracking. See real-time alerts. Review AI-scored transcripts. Track improvements. If it doesn't pay for itself, we'll refund 100%.

B2B Intent Data Provider Comparison: First-Party vs Third-Party

There are two sources of B2B intent data and most sales teams confuse them. Understanding the difference determines how you build your system and which b2b intent data provider to work with. The best B2B intent data strategies layer both sources: first-party data for warming existing pipeline and third-party data for finding net-new accounts before competitors do.

First-Party In Market Audience Data (What You Own)

This is behavior data from your own website, emails and CRM. When someone visits your pricing page twice in one week, that's first-party data. When someone opens 4 of your emails in 3 days, that's first-party data. You own it, it's free and it's highly accurate because these are people already engaging with you specifically.

• Website visits with time-on-page tracking
• Email opens, clicks and re-opens
• Content downloads (case studies, whitepapers)
• Demo video completions
• Chat conversations and support tickets
• Free trial signups and product usage patterns

Third-Party In Market Audience Data (What You Buy)

This is behavioral data from across the web, aggregated by data providers. It shows you when someone at a target company is researching your category, even if they've never visited your site. They searched 'best CRM for contractors' on Google, read 3 comparison articles and visited 2 competitors. You weren't there, but a data provider captured those signals.

How to Build Your In Market Audience Data System Without Enterprise Software

You don't need a $60,000/year data platform to start using in market buying signals. Here's a practical, lower-cost approach for small and mid-market sales teams:

Best B2B Intent Data Providers: Bombora, 6sense and How to Choose

When evaluating b2b intent data providers, the three names that come up most in enterprise sales conversations are Bombora, 6sense and Demandbase. Each takes a different approach to buyer intent data. Bombora aggregates behavioral data from a cooperative network of 5,000+ B2B publisher sites to surface companies showing topic-level interest surges. 6sense uses AI to predict which accounts are in each stage of the buying journey based on web activity, CRM data and third-party signals combined. Demandbase focuses on ABM (account-based marketing) use cases, identifying target account engagement and helping marketing teams build campaign audiences from intent signals.

The best buyer intent data providers for your business depend on your stack and budget. Enterprise teams running full ABM programs typically use 6sense or Demandbase because they integrate intent into pipeline orchestration directly. Mid-market and SMB teams often start with Bombora for third-party data layered on top of first-party tools. Multiply Revenue's High-Intent Data service brings this infrastructure to businesses that need best-in-class buyer intent without enterprise contracts or 6-month onboarding timelines.

How to Turn Intent Into Pipeline: The ABM Approach

The ABM (account-based marketing) playbook is the proven framework for turning b2b intent data into closed revenue. The process works in four steps: identify the accounts showing buyer intent signals, build campaign audiences from those accounts across paid channels (LinkedIn, Google Ads, display), have sales reach out concurrently with personalized outreach and measure pipeline created from that intent-driven campaign cohort. When marketing and sales both activate on the same intent signals at the same time, conversion rates spike because the prospect is seeing your brand everywhere at the exact moment they are researching. This coordinated approach is what the best B2B intent data providers are built to enable.

In Market Audience Data for Different Sales Team Sizes

Solo Founder or 1-2 Person Sales Team

You can't call 500 prospects per week. You shouldn't try. Start with first-party only: set up email scoring and website tracking. Call every lead that hits a score of 15+ in one week. That's probably 5-15 calls, all warm, all worth your time. When those convert at 30-40%, you'll never want to make a cold call again.

4-10 Person Sales Teams

This is the sweet spot for full In Market Audience Data adoption. Like ABC Software in the case study above. Combine first-party and third-party data. Run weekly intent-signal reviews: who hit 40+ points this week? Who's in the market but hasn't found you yet? Daily calling lists built from intent scores. Reps make 30-40 targeted calls per day instead of 100 random ones.

Enterprise Sales Teams (10+ SDRs)

At scale, In Market Audience Data combines with revenue intelligence to create fully automated prioritization. AI scores every account daily. SDRs see a ranked list each morning: call these 25 in this order. No more wasted mornings deciding who to call. The system tells them. Close rates go up, costs go down, morale improves.

B2B Buyer Intent Data FAQs: Questions About Intent Data Providers Answered

How accurate is In Market Audience Data?

First-party data (your own website and email) is highly accurate. Third-party data accuracy varies by provider, but good providers are 70-85% accurate on company identification. The key insight: even at 70% accuracy, calling 200 intent-signal-scored prospects beats calling 1,000 random ones. You don't need perfect data, you need better-than-random data.

Can small businesses afford In Market Audience Data?

First-party in market buying signal tracking (your own website and email) is free or near-free with tools you already use. Third-party In Market Audience Data starts at around $500 to $2,000 per month for SMB-level access. For a team of 4 SDRs, that's $125 to $500 per rep per month. If those reps close one extra deal per month because of better targeting, at a $5,000 average deal, the math works out at 10:1 ROI minimum.

What's the difference between In Market Audience Data and lead scoring?

Lead scoring is a system you build based on your own data. In Market Audience Data provides the raw signals that feed into that score. Lead scoring without good buying signals is like scoring customers based only on their name and company size. In Market Audience Data adds the 'are they actually buying right now' dimension that makes scores predictive instead of just descriptive.

How fast do in market buying signals expire?

High-urgency in market buying signals (pricing page, demo request, competitor comparison) are good for 48-72 hours. After that, the prospect may have already made a decision or cooled off. Medium signals (case study download, webinar attendance) stay warm for 7-14 days. Low signals (blog reads, social engagement) are data points for long-term nurture but don't justify an immediate call.

What if a competitor is using In Market Audience Data against us?

If your competitors are calling your prospects within 24 hours of high online shopping activity and you're waiting 3 days, you're already losing deals you don't know about. The good news: if they're using third-party data to find your prospects, you can do the same thing to find theirs. In Market Audience Data is a competitive equalizer. The team that acts on signals fastest wins.

How do we integrate In Market Audience Data with our CRM?

Most In Market Audience Data platforms offer CRM integrations with Salesforce, HubSpot and Pipedrive. Shopping scores update automatically. When a prospect hits your threshold, the CRM creates a task: 'Call today: Intent Score 47.' Your rep opens the CRM each morning and the day's priority list is already built. No more staring at a spreadsheet guessing who to call.

Intent Data in Practice: How Top Sales Teams Build Their Daily Workflow

Knowing how intent data works theoretically is one thing. Knowing how to build a daily workflow around buyer intent data is what separates the teams that see 10x results from those who see marginal improvement. Here is the day-in-the-life of a sales team running an intent-driven process:

The Intent Data ROI Calculator: Know Your Number

Before investing in intent data or buyer intent data infrastructure, run this calculation for your specific business:

Now run the same calculation with intent data multipliers: connect rate increases 3-5x, meeting booking rate increases 2-3x. For the ABC Software example (4 SDRs, $15,000 average deal): without intent data, 6 deals per month at $15,000 each equals $90,000 per month. With intent data, 86 deals per month at $15,000 each equals $1.29 million per month. The difference: $1.2 million per month from the same team size.

Common Intent Data Mistakes (And How to Avoid Them)

After working with dozens of sales teams implementing buyer intent data, these are the mistakes that waste months of potential progress:

Mistake 1: Acting on Every Intent Signal Immediately

Not all intent signals warrant immediate action. A prospect who read one blog post and spent 2 minutes on your site does not need a call today. Calling too early based on weak signals trains your SDRs to distrust the system. Use scoring thresholds: only call when the cumulative score reaches a meaningful threshold (26+ for warm outreach, 40+ for urgent contact). Signal quality matters more than signal quantity.

Mistake 2: Treating All High-Score Accounts the Same

An account with a score of 45 from 3 pricing page visits is different from an account with a score of 45 from multiple team members visiting over 3 days and downloading a case study. The multi-touchpoint, multi-person signal is stronger. Teach your reps to read the signal composition, not just the number. The story behind the score matters.

Mistake 3: Ignoring the Context in the Outreach

The biggest wasted opportunity in intent-driven sales: calling a prospect who just visited your pricing page and leading with a generic opener. Use what you know. 'Hi, this is Sarah from ABC Company. I saw your team has been looking at our pricing page and wanted to reach out directly to help with any questions.' This single sentence transforms a cold call into a warm one. Reps who use intent context in their openers see 3x higher connection rates.

Mistake 4: Not Aligning Marketing and Sales on Signal Definitions

Marketing teams often define 'intent' based on engagement with content. Sales teams define it based on purchase readiness. These are not the same thing. A prospect who reads 10 blog posts is engaged with your content, but that does not mean they have budget and timeline to buy. Align on a shared definition: intent data should reflect purchase readiness, not just content engagement. The difference in point weights between a blog read (1 point) and a pricing page visit (15 points) should reflect this reality.

How Intent Data Integrates With Your Existing Sales Stack

One of the most common concerns when implementing buyer intent data is the technology integration. Here is how intent signals connect to the tools your team already uses:

The integration goal is a single priority view. Your reps should start each day with a ranked list: these 20 accounts are showing intent signals right now. Call them in this order. Everything else in the CRM feeds into that list automatically. When intent data lives in a separate tool that reps must manually check, adoption drops and the system stops working within 60 days.

The Future of Intent Data: What Is Coming in 2026 and Beyond

Intent data as a category is evolving rapidly. The buyer intent data tools available in 2026 are significantly more powerful than what existed even 2 years ago. Here is where the technology is heading:

• AI-generated personalization at scale: Future intent tools will not just tell you who to call. They will generate personalized outreach messages referencing the specific pages the prospect visited, the problems those pages address and a custom value proposition based on their company profile.
• Real-time conversation intelligence: Intent signals will feed directly into live call coaching. During a call with a high-intent prospect, the AI will suggest talking points based on what the prospect was researching before the call.
• Predictive intent modeling: Instead of reacting to current signals, AI will predict which accounts are likely to show high intent in the next 30 days based on historical patterns. Sales teams will get ahead of the signal instead of chasing it.
• Dark funnel attribution: Intent tools will increasingly capture signals from channels that are currently invisible, including podcast listens, community discussions and peer recommendation networks. The coverage of buyer intent data will expand dramatically.
• Intent-driven content personalization: Your website will show different content to high-intent visitors automatically. A company that has been researching your competitor comparison pages will see a competitor comparison feature prominently. Personalization will make every visit more relevant.

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