crexi Organic Growth Opportunities

Create a unique, static page for every closed transaction in the company's historical database. These pages will detail the sale price, date, parties involved, key property metrics, and show comparable active listings to capture high-intent, long-tail search traffic.

Example Keywords

• “123 Main St Dallas sold price”
• “Denver warehouse sold 2023”
• “LA multifamily comp data”
• “recent commercial sales [city]”

Rationale

Competitor LoopNet attracts significant traffic from sold-property and address-level queries, a segment where Crexi is underdeveloped. Creating these pages at scale will capture a massive volume of high-intent, long-tail traffic from users researching property values, directly feeding the acquisition and brokerage funnels.

Topical Authority

Crexi has a high authority for active listings. By publishing its vast trove of historical sales data, it can establish itself as an equally authoritative source for property valuation and comparable sales, a critical component of the commercial real estate ecosystem.

Internal Data Sources

Utilize the internal closed-deal database (containing price, date, buyer/seller info), public assessor & deed data (via a licensed feed), and notes or commentary from brokers involved in the transaction to create a rich, unique data asset for each page.

Estimated Number of Pages

300,000+

Generate a static page for every commercial parcel that compares its current assessed value against its most recent sale price. This page will forecast the likely post-sale property tax liability, a critical and often overlooked piece of due diligence for investors.

Example Keywords

• “property tax after purchase [address]”
• “commercial reassessment calculator [county]”
• “Los Angeles office tax appeal data”
• “how much will my property taxes be after sale”

Rationale

Investors consistently underestimate the impact of property tax reassessment after a purchase, creating a significant financial risk. By providing a tool that solves this high-stakes problem, Crexi can attract extremely high-intent users at a crucial point in their decision-making process, capturing traffic that currently leads to complex government PDFs and expensive consultants.

Topical Authority

While Crexi's authority is in transactions, providing this financial modeling tool builds authority in the adjacent, and equally important, field of asset underwriting and financial due diligence. It demonstrates a deeper understanding of the investor's entire workflow, from discovery to ownership.

Internal Data Sources

Combine data from county assessor feeds (historical levies, mill rates) with Crexi's own database of closed-sale prices. The AirOps workflow can then use a cap-rate model from Crexi Intelligence to project future valuation and the resulting tax burden.

Estimated Number of Pages

1,300,000+

Develop scalable SEO pages that act as market intelligence snapshots for every major U.S. city and commercial asset class combination. Each page will feature current pricing, cap rates, absorption data, and a feed of active Crexi listings for that specific market.

Example Keywords

• “Phoenix retail cap rates”
• “Boston office vacancy rate 2024”
• “industrial real estate trends Atlanta”
• “Chicago multifamily average price per unit”

Rationale

Serious investors and brokers search for specific market data before they search for listings. By creating pages that answer these high-value queries, Crexi can capture users at the top of the funnel, establish credibility as a data leader, and guide them directly to relevant on-market properties, a strategy currently dominated by competitors.

Topical Authority

Crexi already has strong topical authority for 'commercial property for sale'. This play is a natural extension of that authority, moving from just showing listings to providing the market context behind them. It leverages Crexi's proprietary data to prove its expertise in local market dynamics.

Internal Data Sources

These pages will be powered by the Crexi Intelligence platform, using API calls to pull key metrics like average sale price, cap rate trends, and days-on-market. This is combined with a live feed of the platform's own listing inventory for each city/asset class and historical comp records for year-over-year analysis.

Estimated Number of Pages

5,000+

Create a dedicated page for every major national credit tenant (e.g., Dollar General, Walgreens) that profiles the brand as an investment. Each page will summarize average cap rates, median lease terms, corporate credit ratings, and showcase a live feed of their NNN properties for sale on Crexi.

Example Keywords

• “Dollar General cap rate 2024”
• “Chick-fil-A NNN properties for sale”
• “AutoZone triple net yield”
• “Starbucks corporate guaranteed lease investment”

Rationale

The single-tenant net lease (NNN) market is a large and lucrative niche filled with investors who 'collect' properties leased to specific, trusted brands. These pages target their precise search queries, moving beyond generic 'NNN for sale' terms to capture ultra-qualified buyers focused on a particular investment thesis.

Topical Authority

Crexi already lists thousands of NNN properties. This play demonstrates a deeper level of expertise by analyzing and indexing the market on a brand-by-brand basis. It establishes Crexi as the go-to resource not just for finding NNN deals, but for researching the underlying quality of the tenants themselves.

Internal Data Sources

The core of this play is Crexi's database of closed NNN comps, which can be analyzed to determine average cap rates per brand. This is enriched with live NNN listings tagged with the franchise tenant and integrated with third-party data feeds for corporate credit ratings (e.g., Moody's/S&P).

Estimated Number of Pages

3,250+

Build out state- and metro-specific content hubs dedicated to 1031 exchange investors. These pages will explain local rules and deadlines while showcasing a filtered, dynamic feed of eligible replacement properties (e.g., NNN, DSTs) available on Crexi.

Example Keywords

• “1031 exchange properties Florida”
• “1031 replacement property Texas”
• “Delaware Statutory Trust real estate California”
• “NNN properties for 1031 exchange”

Rationale

Investors executing a 1031 exchange are on a strict, legally-mandated 45-day deadline to identify replacement properties and have capital ready to deploy. These search terms represent some of the highest transactional intent in all of real estate. Creating dedicated hubs for this audience is a direct path to high-value conversions.

Topical Authority

Crexi's authority is built on its vast inventory of commercial properties, many of which are ideal for 1031 exchanges (e.g., triple-net leases). This play focuses that authority on a specific, urgent use case, proving that Crexi understands and caters to the needs of sophisticated investors navigating complex transactions.Internal Data Sources

The primary internal data source is the live property listings database, which can be filtered by an AirOps workflow to flag properties that meet common 1031 criteria (e.g., fee-simple ownership, NNN lease structure). This can be supplemented with a calculator widget from Crexi Intelligence to model tax savings.

Estimated Number of Pages

3,500+

Improvements Summary

Revise state and metro gas station listing pages with keyword-focused on-page content, FAQ blocks, schema markup, and improved internal linking. Add supporting guides and brand deep-dives to reinforce topical authority and drive more qualified traffic.

Improvements Details

Key tasks include adding 250-400 word local market intros targeting primary and secondary keywords like 'gas station for sale in MA', implementing FAQ sections with schema, optimizing meta tags, and applying AggregateOffer and breadcrumb schema. Internal links from new state buying guides and cross-linking between state and tenant pages will strengthen authority. Supporting blog content and local backlinks will further improve rankings and relevance.

Improvements Rationale

These improvements address thin content, lack of local signals, and weak internal linking that currently limit rankings. By increasing topical relevance, targeting high-potential keywords, and improving page structure, the cluster can move from page 2 to page 1, increasing CTR and organic visits. Rich snippets and better user engagement are expected to drive more qualified leads to listings.