Email response
3 to 6%
Industry lead generation
Real Estate & PropTech lead generation.
7+ real estate clients trust CIENCE: including Morris Kamlay and SiteLogiq.
Industry KPI dashboard
CAC, ACV, conversion, cycle
01
CAC range
15 to 25%
02
Typical ACV
$25,000
03
Meeting to close
8%
04
Sales cycle
8 to 20 weeks
01 / Landscape
Real Estate & PropTech customer acquisition has its own physics.
The commercial real estate industry manages over $20 trillion in assets globally, and PropTech companies are racing to modernize an industry that has historically been slow to adopt technology. But selling into real estate requires understanding a fragmented market where buying behavior varies dramatically by property type, geography, and owner sophistication.
Sales cycles in real estate tech run 8-20 weeks, with enterprise REIT deals extending even longer due to procurement committees and pilot requirements. The CAC-to-ACV ratio of 15-25% on $25,000 average contracts creates healthy unit economics: but only when targeting is precise enough to avoid wasting cycles on prospects who aren't ready to buy.
CIENCE has built pipeline for real estate technology companies including Morris Kamlay, Office Space, and SiteLogiq. Our campaigns combine granular geographic targeting with property-type segmentation to reach the right decision-makers at the right properties.
02 / Channels
Benchmarks from the source industry model.
Phone connect
5 to 9%
LinkedIn engagement
8 to 14%
Best channel logic
Phone outreach combined with email: real estate professionals are phone-oriented and accustomed to taking calls from vendors and partners. Phone connect rates of 5-9% are among the highest in B2B. Email sequences provide the documentation and detail that complex real estate transactions require.
03 / GTM challenges
Why generic outbound underperforms here.
Real estate buying decisions are hyper-local: a solution that works for Manhattan commercial properties may be irrelevant for suburban multifamily, requiring extremely granular geographic and property-type targeting
Commercial real estate operates on long investment cycles tied to interest rates, cap rates, and market conditions: technology purchasing slows dramatically during market downturns even when the operational need is greatest
PropTech adoption varies enormously by property type and owner sophistication: institutional REITs evaluate technology like enterprise software companies, while independent owners make gut decisions based on peer recommendations
Data quality in real estate is notoriously poor: property ownership records, management company relationships, and decision-maker information changes frequently as properties are bought, sold, and refinanced
04 / Source case studies
Proof patterns named in the source page.
01
Morris Kamlay
Challenge
Needed to generate pipeline for real estate services targeting commercial property owners and developers in specific geographic markets
Result
Built targeted outbound campaigns reaching commercial property decision-makers with geographically precise messaging
02
Office Space
Challenge
Required outbound pipeline generation for their flexible workspace platform targeting enterprise companies evaluating hybrid work solutions
Result
Generated qualified meetings with corporate real estate directors and facilities managers at mid-market and enterprise companies
03
SiteLogiq
Challenge
Needed to reach facility managers and capital planning directors at large property portfolios for their building assessment and planning platform
Result
Built consistent pipeline of qualified meetings through targeted campaigns reaching facility and capital planning decision-makers
05 / Buyer personas
Message by role, pain, and channel.
01
VP of Asset Management / Portfolio Manager
Lead with NOI impact: show how your solution directly improves net operating income through operational efficiency, energy savings, or tenant retention. Real estate buyers think in dollars per square foot.
EmailPhoneLinkedIn
01 NOI growth is flat while operating costs increase: need technology that directly impacts net operating income per property
02 Portfolio-wide visibility into property performance requires manual data aggregation across disconnected systems
03 ESG reporting requirements are increasing but lack standardized data collection across the portfolio
02
Director of Corporate Real Estate
Focus on space utilization optimization and cost-per-seat reduction: connect your solution to the hybrid work challenge that every corporate real estate team is navigating.
EmailLinkedIn
01 Hybrid work has made space utilization unpredictable: occupancy rates fluctuate 40-60% weekly, making lease decisions difficult
02 Lease portfolio optimization requires data-driven analysis but current tools don't integrate with space utilization sensors and employee scheduling systems
03 Facilities costs per employee are rising while employee satisfaction with the physical workplace is declining
06 / CIENCE approach
How CIENCE builds pipeline for Real Estate & PropTech.
As a graph8 company, CIENCE uses AI to identify real estate companies actively investing in technology. The graph8 platform monitors property transaction data, renovation permits, management company changes, and job postings for technology roles: all signals that a real estate organization is entering a PropTech buying cycle.
For real estate specifically, we deploy geographically targeted campaigns segmented by property type (commercial office, multifamily, industrial, retail) and owner profile (institutional REIT, private equity, independent owner-operator). Our Talent Cloud SDRs understand real estate terminology: they can discuss NOI impact, cap rate improvement, and tenant experience metrics credibly with property managers and asset managers.
Tenbound, our sister brand for sales development research, provides benchmark data on real estate buyer engagement patterns across different segments: helping us optimize outreach strategies for institutional buyers who behave like enterprise software purchasers versus independent owners who respond to relationship-driven phone outreach.
FAQ
Real Estate & PropTech lead generation.
01
How much does real estate tech lead generation cost?
Real estate tech lead generation targets a CAC-to-ACV ratio of 15-25%. With typical contract values around $25,000, that means a target CAC of $3,750-$6,250. CIENCE campaigns achieve this through precise geographic and property-type targeting that minimizes wasted outreach.
02
What channels work best for reaching real estate buyers?
Phone outreach combined with email is most effective for real estate professionals. Phone connect rates run 5-9%: among the highest in B2B because real estate professionals are accustomed to taking vendor calls. Email response rates of 3-6% provide supporting documentation for complex transactions.
03
How does CIENCE handle geographic targeting for real estate?
CIENCE campaigns are segmented by metro area, property type, and owner profile. Our graph8 platform monitors local property transaction data, development permits, and management company changes to identify active buyers in specific markets. This granular targeting is essential for real estate where buying behavior is hyper-local.
04
What real estate companies has CIENCE worked with?
CIENCE has generated pipeline for real estate companies including Morris Kamlay (commercial real estate services), Office Space (flexible workspace), SiteLogiq (building assessment), and other PropTech platforms across commercial, multifamily, and corporate real estate segments.
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Industry pipeline plan
Ready to build pipeline in Real Estate & PropTech?
CIENCE combines graph8 data, trained SDR capacity, and Tenbound research so this industry motion has the right buyer, message, and channel from the start.