Proprietary Intelligence Platform Successfully deployed on 3 residential projects

De-risk your project.
Before you break ground.

Advertesting is an AI-powered interactive market intelligence platform for residential real estate developers. Validate project viability, optimize pricing, define the ideal unit mix and generate early qualified leads before construction begins.

+15% Project profitability improvement
3 Residential projects validated
110+ Quebec & US projects — leadership track record

A market intelligence engine built for residential developers.

Advertesting is the only proprietary platform of its kind: an integrated interactive market intelligence environment designed specifically for residential real estate projects for sale or rent.

By combining real-time market signal analysis, AI-assisted demand modeling, and targeted prospect engagement, Advertesting gives developers and investors the strategic clarity they need before committing capital.

Unlike generic feasibility studies, Advertesting delivers live, interactive intelligence validated by actual market response, not assumptions.

Pricing Intelligence

Identify price breakpoints, test elasticity thresholds, and calibrate unit pricing to maximize absorption while protecting margins.

Demand Validation

Test actual market appetite before launch. Align the offer with demonstrated demand rather than projected assumptions.

Project Mix Optimization

Define the ideal configuration of unit types, sizes, and preferences informed by real buyer and renter profiles.

VIP Lead Generation

Capture early, qualified interest through integrated registration flows — building a prospect base before the official launch.

Viability Assessment

Stress-test project scenarios with market-driven data. Surface risks and opportunities before capital is committed.

AI-Powered Analysis

Proprietary AI models process survey signals, behavioral data, and market indicators into actionable developer intelligence.

A structured intelligence process in four stages

1

Market Framing

We define the project parameters, target geography, competitive set, and key strategic questions to be tested. A customized data collection framework is configured for the specific project.

  • Competitive positioning
  • Geographic demand analysis
  • Strategic test design
2

Market Exposure & Data Collection

The Advertesting platform is deployed to targeted audience segments. Qualified prospects interact with the project concept, providing real preference and intent data through a proprietary engagement framework.

  • Targeted audience deployment
  • Intent & preference capture
  • VIP list building
3

AI-Assisted Analysis

Proprietary AI models process the collected data — identifying patterns, segmenting respondent profiles, modeling price sensitivity, and surfacing actionable recommendations across all tested dimensions.

  • Demand modeling
  • Price optimization
  • Profile segmentation
4

Strategic Deliverable

A comprehensive intelligence report is delivered — covering market findings, pricing recommendations, ideal project mix, buyer profiles, and the qualified VIP prospect list, ready for the sales launch.

  • Executive intelligence report
  • Pricing strategy
  • Qualified lead database

Why developers choose Advertesting

Market intelligence deployed before ground-breaking consistently produces measurable improvements across the project lifecycle.

+15%
Overall project profitability improvement
Measured across completed projects informed by the Advertesting platform
↓ 20%
Reduction in pricing adjustment cycles
Up to 20% fewer post-launch corrections when pricing is validated before launch
More qualified leads at launch
VIP list built during the interactive market intelligence phase
↑ 28%
Faster initial absorption
Projects launched with validated demand consistently show stronger early velocity
"Advertesting provided clarity we couldn't find anywhere else. The combination of real market signals and AI-powered analysis gave us the confidence to optimize our project mix, and the results validated every strategic decision we made."
— Louis Conrad Migneault, Co-Founder of AI Real Estate Technologies

From raw signals to strategic decisions

The following charts illustrate the type of intelligence Advertesting generates, based on representative fictional project data.

Demand vs. Price — Unit Type Analysis
Respondent purchase intent by price range per unit type · Fictional project data
Key insight: 2BR demand peaks sharply at $420K–$470K. Price above $490K triggers a 34% drop in stated intent.
Optimal Project Mix — Demand Weighting
Recommended unit mix vs. initial developer brief · Fictional project data
Key insight: Market demand supports a higher proportion of 1BR+ units than the initial brief projected, improving absorption velocity.
Projected Absorption Curve — Before vs. After Advertesting Optimization
Cumulative unit absorption over 18-month sales period · Fictional 120-unit project
Key insight: Optimized projects reach 80% absorption ~4 months earlier than market average, directly reducing carrying costs and financing exposure.

Proven across project types and markets

The Advertesting platform is built to work across the full spectrum of residential development: urban or suburban, large-scale master plans or boutique projects, for-sale condominiums or rental communities. The following examples illustrate how it has been applied across different project contexts.

For-Sale Condominiums
Metropolitan Market — 185 units

Recalibrating pricing before a costly misstep

A developer with a defined concept and preliminary pricing structure engaged Advertesting ahead of the public launch. Market testing revealed that the initial pricing was positioned 8–12% above the demand breakpoint for 2-bedroom units, and that a specific floor-plan configuration had significantly stronger uptake than the primary focus of the brief.

Rental Residential
Suburban Growth Corridor — 240 units

Validating unit mix for a high-stakes rental project

Facing a go/no-go decision on a large rental development, the investor group required market evidence before finalizing the capital stack. Advertesting was deployed to validate demand at the targeted rental price range, assess competitive positioning relative to existing supply, and identify which unit configurations would command premium rents.

Mixed-Use Residential
Urban Redevelopment Site — 310 units

Phasing a complex project with confidence

A mixed-use redevelopment with both for-sale condominiums and rental apartments required a phasing strategy with sound market backing. Advertesting's dual-track interactive analysis, running parallel market tests for both buyer and renter segments, provided the quantitative foundation for phase sequencing and pricing architecture across the entire development.

Request a private platform demonstration

Advertesting is not a publicly available SaaS product. Access is granted on a project-by-project basis, directly with the AI Real Estate Technologies team.

Submit your information to request a confidential briefing, platform walkthrough, or strategic discussion about your upcoming project.

  • Confidential — project details protected
  • Direct access to the founding team
  • No obligation — exploratory conversation
  • Response within 2 business days
Your information is confidential and will not be shared. By submitting you agree to be contacted by the AI Real Estate Technologies team.

The team behind Advertesting

AI Real Estate Technologies was co-founded by leaders with deep, complementary expertise: combining decades of residential real estate practice with modern investment strategy and technology development.

Benoît Lemieux

Benoît Lemieux

Co-Founder & Principal Investor

Benoît Lemieux is a seasoned real estate investor with a leadership track record spanning plans involving more than 10,000 properties internationally. He co-founded AI Real Estate Technologies with Louis Conrad Migneault, bringing institutional investment acumen and a strategic vision for technology-driven real estate intelligence to the organization.

Louis Conrad Migneault

Louis Conrad Migneault

Co-Founder & Managing Director

With 35 years dedicated to the residential real estate sector, Louis Conrad Migneault has contributed to more than 110 residential projects across Quebec and the United States. He co-founded AI Real Estate Technologies with Benoît Lemieux and maintains active involvement in Master Plan Community development activities, bringing unparalleled field knowledge to Advertesting's strategic design.

Gabriel Harbour

Gabriel Harbour

Chief Technology Officer

Gabriel Harbour brings more than 15 years of experience in software development and technology team leadership. As CTO of AI Real Estate Technologies, he oversees the architecture and development of the Advertesting platform, including its proprietary AI models, data infrastructure, and product roadmap.

The leadership team is supported by a dedicated internal team, specialized external consultants, and domain experts focused on AI tool development, data science, and real estate analytics, ensuring the Advertesting platform remains at the leading edge of market intelligence.