List Building

RealTech

What is RealTech?

RealTech, in B2B sales development, refers to specialized real estate technology platforms and data providers used to build precise prospect lists of agents, brokers, property owners, investors, and real estate firms. These tools combine property data, ownership records, and contact information to help SDRs and outbound teams prioritize high‑intent targets, personalize outreach at scale, and generate more qualified real estate–focused opportunities for complex B2B sales cycles.

Understanding RealTech in B2B Sales

In the context of B2B sales development and list-building, RealTech describes the ecosystem of real estate technology platforms and data services that power targeted prospecting into the real estate industry. This includes tools that aggregate property records, ownership structures, brokerage rosters, investor portfolios, and contact information, then make that data accessible for sales teams via search, filters, and integrations. RealTech is used both by real estate professionals themselves and by B2B vendors selling into brokerages, property managers, REITs, lenders, and proptech companies.

Practically, RealTech platforms help SDRs and revenue teams build highly specific lists, for example, multifamily asset managers in a given metro with portfolios over a certain number of units, or top-producing residential agents who closed a threshold volume in the last 12 months. Data can be synced into CRMs and sales engagement tools so that outbound sequences (email, cold calling, LinkedIn) are driven by accurate, property-aware targeting rather than generic industry filters. Some RealTech solutions, including list-building tools such as the RealTech platform referenced in SalesHive’s glossary, are built specifically to help real estate agents and teams identify and connect with new leads in their local markets. saleshive.com

Over the last decade, RealTech has evolved from static MLS exports and county-record spreadsheets into always-on cloud platforms enriched with AI, predictive analytics, and behavioral signals. The broader real estate software market is estimated at roughly US$12.44 billion in 2024 and projected to more than double by 2031, reflecting rapid adoption of digital tools across the industry. globenewswire.com Many real estate firms now use AI-enabled CRMs and analytics to improve lead conversion and client engagement, and VR/AR virtual tour technologies are increasingly embedded into those platforms to deepen buyer and tenant interest. marketgrowthreports.com

For B2B sales organizations, this evolution matters because it makes real estate a far more data-driven vertical. Vendors offering software, financial products, construction services, or professional services to real estate stakeholders can use RealTech data to define their ideal customer profile at the property level, spot expansion opportunities inside existing accounts, and trigger outbound based on real events (new acquisitions, refinancing, listings, permitting, or development milestones). Combined with modern personalization, which has been shown to drive up to 1.4x revenue growth and around 20% higher engagement in B2B contexts, RealTech transforms real estate-focused list-building from a manual research task into a scalable, high-ROI motion. businessdasher.com

Key Benefits

Hyper-targeted real estate prospect lists

RealTech platforms let SDRs build lists based on property type, geography, portfolio size, transaction history, and ownership structure instead of vague industry tags. This precision means more of your outbound activity reaches decision-makers who actually control relevant assets and budgets.

Richer personalization and context in outreach

Because RealTech combines contact data with property insights, reps can reference specific assets, recent deals, or local market dynamics in their messaging. That level of relevance supports higher open, reply, and meeting rates compared to generic, role-based outreach.

Faster territory planning and account selection

Sales leaders can use RealTech to map territories around concentration of target properties and ownership groups, rather than arbitrary zip codes. This leads to more balanced books of business and enables SDRs to focus on accounts with the greatest revenue potential.

Event- and trigger-based prospecting

RealTech data makes it possible to trigger sequences when properties change hands, new projects are announced, or listings hit the market. Outbound becomes tied to real buying windows and capital events, improving timing and overall conversion rates.

Better alignment between marketing, SDRs, and AEs

When all go-to-market teams use the same RealTech-driven account and contact universe, it's easier to coordinate campaigns, track multi-touch influence, and hand off opportunities. Everyone is working from a shared, property-centric view of the customer.

Common Challenges

Data completeness and accuracy across markets

Real estate data quality can vary widely by region, asset class, and data provider. Incomplete ownership records, missing contacts, or outdated licensing information can lead to wasted dials, bounced emails, and frustrated SDRs.

Fragmented systems and manual workflows

Many teams pull RealTech data into spreadsheets or one-off imports instead of tightly integrating with their CRM and sales engagement tools. This fragmentation causes version-control issues, duplicate records, and makes it harder to attribute meetings and revenue back to specific lists.

Over-segmentation without enough volume

The ability to filter very precisely can tempt teams into building segments that are too narrow to sustain consistent outbound. SDRs then run out of accounts quickly or spend too much time rebuilding new micro-lists rather than executing.

Compliance and privacy considerations

Different jurisdictions have varying rules about contacting owners, tenants, and consumers, especially for residential assets. If RealTech data is used without clear processes for consent, suppression, and opt-outs, organizations risk complaints, blacklisting, or legal exposure.

Skills gap in interpreting property data

B2B reps who haven't sold into real estate before may struggle to interpret property records, zoning terms, or transaction fields. Without training, they can misread signals, prioritize the wrong accounts, or deliver tone-deaf messaging.

Key Statistics

72%
In 2024, roughly 72% of real estate firms were using AI-enabled CRM and IT solutions to improve lead conversion, underscoring how central RealTech-style platforms have become to structured prospecting and client management in the sector. marketgrowthreports.com
MarketGrowthReports, IT in Real Estate Market Trends
US$12.44B
The real estate software market is estimated at about US$12.44 billion in 2024 and is projected to more than double by 2031, reflecting strong investment in RealTech tools that support data-driven list-building and sales workflows. globenewswire.com
Coherent Market Insights, Real Estate Software Market
20%
Real estate firms using big data analytics reported around a 20% increase in sales efficiency between 2023 and 2025, illustrating the performance gains available when RealTech data is embedded into targeting and sales processes. scottmax.com
Scottmax, Residential Real Estate Industry Trends
1.4x
Studies show that personalization in B2B sales, which RealTech data enables by adding property context, can drive up to 1.4x revenue growth and around 20% higher engagement compared with non-personalized approaches. businessdasher.com
BusinessDasher, Personalization Statistics

Best Practices

1

Define an ICP that includes property criteria

Go beyond basic firmographics by codifying the asset types, portfolio sizes, geographies, and deal profiles that define your best customers. Build standard RealTech filters for those criteria so list-building becomes repeatable rather than one-off research.

2

Integrate RealTech directly into your sales stack

Connect RealTech data sources to your CRM and sales engagement platforms so new contacts and properties sync automatically with clear field mappings. This reduces manual uploads, keeps ownership data fresh, and lets you report on performance by RealTech segment.

3

Layer RealTech data with general B2B data providers

Combine property-level intelligence from RealTech tools with firmographic and contact enrichment from platforms like ZoomInfo to get a full picture of parent companies, decision-makers, and buying committees. This layered approach improves both coverage and accuracy.

4

Use property events as outbound triggers

Design sequences that launch when RealTech surfaces key events, acquisitions, dispositions, refinancing, major leases, or construction milestones. Align messaging to those moments, positioning your solution as a way to de-risk or accelerate the deal.

5

Standardize data fields and list QA

Before SDRs start outreach, run every RealTech-derived list through a quick QA process: validate emails, dedupe owners across entities, normalize location and asset-type fields, and tag each record with segment labels. A few minutes of QA can save hours of wasted activity.

6

Train reps on real estate terminology and personas

Invest in short enablement sessions so SDRs understand asset classes, NOI, cap rates, and the roles of brokers, property managers, and asset managers. When combined with RealTech data, this contextual knowledge dramatically improves conversation quality.

Expert Tips

Build segments around ownership, not just properties

When using RealTech, group properties by beneficial owner or management company so SDRs can work multi-asset conversations with a single decision-maker. This boosts average deal size and reduces the time spent chasing one-off opportunities.

Prioritize signals that map to your value proposition

Don't treat every RealTech data point equally. Identify 3-5 signals (e.g., recent acquisition, major vacancy, new development) that directly increase the need for your solution and weight those heavily in your lead scoring and list prioritization.

Use RealTech data to fuel multi-threading

Property and ownership records often reveal multiple stakeholders, asset managers, leasing directors, on-site managers. Map these roles in your CRM and design outreach plays that multi-thread across them instead of relying on a single champion.

Continuously test localized, property-aware messaging

A/B test email subject lines and call openers that reference local market dynamics, asset classes, or specific property attributes against generic messaging. Keep a simple playbook of top-performing hooks by segment and ensure SDRs update it monthly.

Outsource execution while keeping data strategy in-house

If your team is lean, own the strategy around RealTech segments and triggers internally, but use an outsourced SDR partner like SalesHive to handle high-volume dialing and emailing. This lets you scale without sacrificing control over who you target and why.

Related Tools & Resources

CRM

Salesforce

A leading CRM used by many real estate and proptech-focused sales teams to store RealTech-derived account, property, and contact data and orchestrate outbound campaigns.

CRM

HubSpot CRM

A popular CRM and marketing platform that integrates with RealTech and other data sources to manage real estate-focused pipelines and automate follow-up sequences.

Data

Reonomy

A commercial real estate data platform that provides ownership, property, and transaction intelligence used by B2B teams to build highly targeted prospect lists.

Data

PropStream

A real estate prospecting and list-building tool that aggregates property, owner, and distress data, helping investors and vendors identify high-intent opportunities.

Data

ZoomInfo

A B2B contact and company database often layered with RealTech property data to enrich decision-maker details and buying committee structures at real estate firms.

Email

Salesloft

A sales engagement platform used to run multi-touch email and call sequences against RealTech-derived lists, track engagement, and optimize messaging.

How SalesHive Helps

Partner with SalesHive for RealTech

SalesHive helps companies selling into the real estate ecosystem actually operationalize RealTech data instead of letting it sit in dashboards. Our list-building team uses industry-specific RealTech sources alongside leading B2B data providers to build highly targeted account and contact lists of brokers, owners, property managers, investors, and proptech decision-makers that match your ICP. Those records are cleaned, enriched, and structured so they’re ready for immediate use in your CRM and sales engagement tools.

From there, SalesHive’s SDR outsourcing, cold calling, and email outreach services activate those lists with property-aware messaging and personalized angles, powered by AI tools like our eMod email personalization engine. With a track record of booking 100,000+ meetings for 1,500+ B2B clients, we know how to turn RealTech-driven lists into real pipeline, not just activity logs. Whether you need a US-based team, a Philippines-based team, or a hybrid approach, SalesHive can launch and scale a RealTech-enabled outbound program without long-term annual contracts.

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Frequently Asked Questions

What does RealTech mean in B2B sales development?

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In B2B sales development, RealTech refers to the real estate technology platforms and data providers that supply property, ownership, and contact information for prospecting. These tools help SDRs and marketers build targeted lists of real estate professionals and organizations, then use that data to drive more relevant outbound campaigns and pipeline.

Is RealTech only for real estate agents, or can vendors use it too?

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While many RealTech platforms are built to help agents and brokers find buyers and sellers, the same data is extremely valuable for B2B vendors. Companies selling software, financial products, construction, or services into real estate use RealTech to identify ideal accounts, understand portfolios, and contact the right decision-makers across ownership and management entities.

How does RealTech integrate with my existing CRM and sales tools?

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Most modern RealTech and property data platforms offer CSV exports, direct CRM integrations, or APIs. Best practice is to map fields like owner entity, property type, units or square footage, and key contacts into standard CRM objects, then sync those records into your sales engagement tool so SDRs can enroll them in sequences with minimal manual work.

How do I measure the ROI of RealTech-driven list-building?

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Track performance at the segment level, not just overall. Compare connect rates, meeting rates, and opportunity creation from RealTech-derived lists against generic industry lists, and attribute pipeline and revenue back to those sources. Over time you should see higher conversion rates and larger deal sizes from property- and ownership-targeted segments.

How is RealTech different from general B2B data providers?

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General B2B data providers focus on companies and contacts by industry, size, and function, but usually lack deep property and ownership intelligence. RealTech adds that missing layer, letting you target based on assets under management, property type, and transaction behavior, which is critical when selling into real estate, investment, and development ecosystems.

How can SalesHive help my team get started with RealTech?

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SalesHive can help you define a property-aware ICP, select the right RealTech and B2B data sources, and then do the heavy lifting of list-building, enrichment, and outreach. Our SDRs are trained to use property context in cold calls and emails, so the RealTech data you're paying for turns into booked meetings and qualified opportunities rather than static reports.

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