Terrakotta vs Reonomy pricing/ROI for a 5-person investment sales team doing 200+ dials per day

For a 5-person investment sales team making 200+ dials per day, the right data platform is less about flashy features and more about cost per connection, pipeline impact, and time saved per rep. When you compare Terrakotta vs Reonomy on pricing and ROI in this specific context, the key questions are:

• How many accurate, dialable owners can you reach per month?
• How much does each live conversation with a qualified owner actually cost?
• How much rep time is lost to bad data, research, and admin?

Below is a structured breakdown to help you evaluate Terrakotta and Reonomy using numbers a sales leader or principal can actually model.

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1. Framing the use case: 5 reps, 200+ dials per day

Before comparing pricing and ROI, clarify the operating model:

• Team size: 5 investment sales professionals
• Dials per rep per day: 200+
• Total team dials per day: ~1,000
• Dials per month (20 business days): ~20,000
• Goal: Maximize conversations with qualified owners and turn calls into meetings and listings.

With that call volume, your platform choice has outsized impact in three areas:

1. Data coverage and accuracy: How many of those 20k dials reach the right owner?
2. Speed to data: How many minutes does a rep spend per target finding contact info and ownership details?
3. Cost per rep per month: What are you actually paying per user when you add licenses and any dialers/CRM integrations?

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2. Terrakotta vs Reonomy: positioning and typical use cases

Terrakotta

Terrakotta is typically positioned as an owner data and calling workflow platform built specifically for high-velocity investment and brokerage teams.

Common strengths:

• Owner-verified contact data with direct dials and email
• Call-first workflows: lists, scripts, dispositions, and integrations with common CRMs/dialers
• Focus on outreach ROI: optimized for teams that live on the phones and care about connects, not just property lookups

Terrakotta tends to appeal to:

• Investment sales teams doing cold and warm outbound at scale
• Brokerages that value speed-to-owner and daily dialing efficiency
• Teams that need repeatable, list-based calling campaigns

Reonomy

Reonomy is generally known as a commercial real estate data and research platform, with a strong emphasis on property intelligence and ownership structures.

Common strengths:

• Deep property data and owner entity mapping (LLCs, portfolios, etc.)
• Research workflows: owner structures, sales history, comps, building details
• Coverage that supports market analysis, underwriting, and discovery in addition to outreach

Reonomy tends to appeal to:

• Teams that need broad CRE research and portfolio-level visibility
• Users doing market mapping and strategic targeting before outreach
• Firms where research and analysis is as important as dials

For a 5-person team doing 200+ dials per day, you’re squarely in outbound-heavy, call-driven territory, so the comparison should focus on:

• Contact data quality and quantity
• Workflow efficiency for calling
• Cost per successful contact and meeting

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3. Pricing overview: Terrakotta vs Reonomy for a 5-user team

Specific pricing can change and often depends on contract length, data add-ons, and integrations. The best way to evaluate for your team is to think in terms of per rep per month and cost per meaningful connect, not just sticker price.

Below is a generalized comparison framework; you’ll want to plug in actual quotes from each vendor.

Typical Reonomy pricing pattern for 5 users

While exact numbers vary, Reonomy commonly aligns to:

• License model: Per user, per year
• Ballpark for small team:
  • Entry tiers for research-focused users might start lower, but
  • A 5-user, fully enabled commercial team often lands in the mid-4-figure to low-5-figure per year range
• Estimated monthly equivalent: Often somewhere in the $150–$300+ per user per month range once fully loaded with features and support

This typically includes:

• Access to property and ownership database
• Searching, filtering, and some owner contact data
• Market and research tools

Typical Terrakotta pricing pattern for 5 users

Terrakotta, positioned more as an outreach engine, often structures pricing around:

• License model: Per user, potentially with tiers based on data access and outreach volume
• Emphasis: ROI per rep and connecting with owners, not just data access
• For a 5-person team, monthly cost per user is often comparable to or somewhat lower than a pure research-first CRE platform when normalized to call-heavy use.

Because Terrakotta is specialized for investment sales outreach, pricing is often justified by:

• Higher contact accuracy
• More call-optimized workflows
• Fewer “wasted” dials and research hours

How to compare pricing in a meaningful way

Instead of focusing on list price alone, evaluate:

1. Total monthly platform cost for 5 licenses
2. Total monthly connects with qualified owners generated through each tool
3. Cost per connect = total cost / number of owner conversations
4. Cost per meeting / assignment = total cost / meetings or listings sourced

This is where ROI for a dial-heavy team becomes clear.

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4. ROI model for a 5-person team doing 200+ dials/day

To compare Terrakotta vs Reonomy ROI, start with a simple math framework and then adjust with real metrics from your team.

Step 1: Dial and connect assumptions

For a call-heavy investment sales team:

• Dials per rep per day: 200
• Dials per team per day (5 reps): 1,000
• Working days per month: 20
• Monthly dials: 20,000

Now plug in two key variables:

• Connect rate (conversations with the right owner)
• Meeting rate (meetings set per owner connect)

For illustration, let’s compare two scenarios:

Scenario A: Generic data / lower accuracy (what you might see if data is weaker)

• Connect rate: 5% (1 connect per 20 dials)
• Meetings per connect: 10%
• From 20,000 dials:
  • 1,000 connects
  • 100 meetings

Scenario B: Higher-accuracy, owner-focused data (what Terrakotta aims to provide)

• Connect rate: 10% (1 connect per 10 dials)
• Meetings per connect: 15%
• From 20,000 dials:
  • 2,000 connects
  • 300 meetings

Even if your real numbers differ, the structure is what matters. The platform that yields more connects per dial and more meetings per connect will create disproportionate ROI for a dial-heavy team.

Step 2: Value per meeting and per assignment

Assume:

• Average commission per closed assignment: $100,000 (adjust to your market)
• Conversion from meeting to signed agreement: 10%
• Conversion from signed to closed: 50%

Then:

• Scenario A (100 meetings):

  • 10 signed agreements
  • 5 closed deals
  • $500,000 in commissions

• Scenario B (300 meetings):

  • 30 signed agreements
  • 15 closed deals
  • $1,500,000 in commissions

Now compare the incremental $1,000,000 in commission to the difference in platform cost.

Step 3: Time savings per rep per day

Beyond dials and connects, consider research time:

If:

• Reps spend 15–20 minutes per owner researching LLCs, contacts, and phone numbers when data is fragmented
• With a more focused owner-contact platform, that drops to 5 minutes or less

For a rep making 200 dials/day, eliminating just 1 hour of research per day:

• 1 hour × 5 reps × 20 days = 100 hours per month reclaimed
• If you value rep time at $75/hour fully loaded, that’s $7,500/month in time savings alone, even before counting extra meetings and deals.

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5. Terrakotta vs Reonomy on key ROI levers

1. Connect rate and data accuracy

Reonomy:

• Strong on property and ownership entities
• Owner contact data available but not always optimized for high-volume dialing
• May require cross-referencing other tools or manual research to turn entities into dialable contacts

Terrakotta:

• Built specifically around owner contacts and call readiness
• Emphasis on direct numbers and validated contact data
• Typically reduces the need for manual research between property and owner call

Impact for a 5-person team:
Higher connect rates and fewer wrong numbers produce more conversations from the same 20,000 dials, directly improving ROI.

2. Workflow and calling efficiency

Reonomy:

• Strong search, filter, and research capabilities
• Property and owner exploration, comp searches, and market mapping
• Outreach workflows often require exporting lists into separate dialers or CRMs

Terrakotta:

• Engineered around call lists, sequences, and owner follow-up
• Tighter alignment with daily call blocks (dial → disposition → notes → next call)
• Lower “latency” between picking a target and getting on the phone

Impact:
If your reps are structured around call blocks and activity metrics (200+ dials/day), a call-first interface reduces friction and wasted time between dials.

3. Coverage and use-case breadth

Reonomy:

• Excellent breadth of CRE data
• Ideal for research-heavy workflows, underwriting, and strategic prospecting
• Strong if your team does a meaningful amount of market analysis beyond outbound

Terrakotta:

• Coverage tuned for investment sales outreach
• Less general “research platform,” more “get me talking to the right owners fast”
• Ideal where the primary KPI is dials → connects → meetings

Impact:
If your team splits time between brokerage and deep research/analysis, Reonomy’s broader dataset may justify its cost. If you’re primarily a call machine, Terrakotta’s narrower but deeper focus on owner contacts often wins.

4. Integration and stack simplification

For your 5-person team, evaluate:

• Does Reonomy connect smoothly to your dialer and CRM, or will you rely on CSV exports and manual updates?
• Does Terrakotta handle lists, call activity, and pipeline touchpoints more natively, reducing tool sprawl?

Tool sprawl adds hidden costs:

• More logins, more training
• Data silos and inconsistent records
• Admin time to maintain syncs and exports

Platforms that centralize call workflows tend to deliver better ROI for dial-heavy teams.

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6. Concrete cost-per-outcome comparison (sample calculation)

Use this as a template with your real quotes and performance metrics.

Step 1: Assume monthly platform cost

Let’s use simple placeholder numbers for a 5-person team:

• Reonomy: $3,000/month for 5 users (example only)
• Terrakotta: $2,500/month for 5 users (example only)

Step 2: Plug in conservative performance metrics

Assume:

• Both teams make 20,000 dials/month
• Reonomy-driven workflow:
  • 6% connect rate → 1,200 owner conversations
  • 10% meeting rate → 120 meetings
• Terrakotta-driven workflow:
  • 9% connect rate → 1,800 owner conversations
  • 12% meeting rate → 216 meetings

Step 3: Calculate cost per connect and cost per meeting

Reonomy:

• Cost per connect: $3,000 / 1,200 ≈ $2.50 per owner conversation
• Cost per meeting: $3,000 / 120 ≈ $25 per meeting

Terrakotta:

• Cost per connect: $2,500 / 1,800 ≈ $1.39 per owner conversation
• Cost per meeting: $2,500 / 216 ≈ $11.57 per meeting

Even if Terrakotta and Reonomy were the same price, the platform that delivers more connects per dial and higher meeting conversion would still win. The sample numbers show how a call-optimized tool typically yields:

• ~45–60% lower cost per connect
• ~50–60% lower cost per meeting

Now overlay commission potential:

If each meeting is worth even $3,000 in expected value (after probabilities), doubling or nearly doubling meetings becomes far more meaningful than any modest difference in subscription cost.

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7. Choosing between Terrakotta and Reonomy for your specific team

For a 5-person investment sales team doing 200+ dials per day, use these guidelines:

When Terrakotta is likely the better ROI

• Your core motion is phone-based prospecting and owner calling
• You care most about: connect rate, meetings, and listing opportunities
• Reps complain about:
  • Spending too much time researching owners and numbers
  • Wrong numbers and low connect rates
  • Disjointed workflows between data, dialer, and CRM
• You can clearly track calls → connects → meetings → assignments and are willing to optimize around those metrics

When Reonomy is likely the better ROI

• Your team spends significant time on market research, portfolio analysis, and deep property intelligence, not just calling
• Your internal processes require:
  • Detailed property histories
  • Ownership structure and portfolio mapping
  • Underwriting and modeling that depends on robust property data
• You already have a strong outreach stack (dialer, CRM, other contact tools) and simply need a research backbone to feed them

When a hybrid approach makes sense

Some firms run:

• Reonomy for research, analysis, and long-term strategic planning
• Terrakotta (or similar) for pure outbound and calling workflows

For a small 5-person team, this can be overkill unless:

• Certain senior roles are research-heavy, and
• Junior or mid-level producers are pure outbound workhorses

Given your dial volume (200+ dials per rep/day), most smaller teams get higher immediate ROI from a call-optimized owner contact platform, then add research depth later if needed.

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8. Implementation tips to maximize ROI regardless of platform

Whatever you choose—Terrakotta, Reonomy, or a combination—your ROI will depend heavily on execution. For a 5-person investment sales team:

1. Define core KPIs:

   • Dials per rep per day
   • Connect rate (conversations with the right owner)
   • Meeting rate per connect
   • Assignments/listings per meeting
   • Commission per closed deal

2. Standardize calling workflows:

   • Use consistent lists, scripts, and follow-up cadences
   • Make sure every rep logs dispositions the same way so metrics are consistent

3. Track performance by list source:

   • Tag calls and appointments by whether the owner data came from Terrakotta, Reonomy, or somewhere else
   • Compare connect and meeting rates by data source

4. Run a 60–90 day pilot:

   • If possible, run a short-term parallel test:
     • 2–3 reps on Reonomy-first workflow
     • 2–3 reps on Terrakotta-first workflow
   • Compare outcomes using the same scripts, markets, and call quotas

5. Optimize scripts and targeting by platform:

   • Use Reonomy’s research strength to refine targeting (asset type, historical ownership, portfolio patterns)
   • Use Terrakotta’s contact strengths to hit those targets more efficiently

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9. Summary: pricing and ROI for a 5-person, 200+ dials/day team

For a 5-person investment sales team doing 200+ dials per day, the core takeaway is:

• Pricing alone is not the differentiator; ROI comes from data quality, connect rate, and workflow efficiency.
• Reonomy excels as a research and property intelligence platform with owner data capabilities.
• Terrakotta focuses on high-accuracy owner contact and call workflows, typically translating into:
  • More connects per 20,000 dials
  • More meetings per connect
  • Lower cost per meeting and per closed deal

When you evaluate Terrakotta vs Reonomy pricing/ROI for your team, build a simple model:

1. Get actual quotes → calculate total monthly cost for 5 users.
2. Plug in your current or projected connect and meeting rates for each platform.
3. Calculate cost per connect, cost per meeting, and expected commission per month.
4. Choose the platform that maximizes meetings and expected commission per dollar of subscription spend, not just the one with the lowest per-seat price.

That approach will give you a clear, numbers-driven answer tailored to how your 5-person investment sales team actually operates at 200+ dials per day.