美国Connie

美国Connie

@connie5508

Connie 是 UFUND Investment及子公司的创始人兼首席执行官,这是一家专注于美国小型和中型市场的私募房地产投资公司,管理债权和股权类基金,并秉持“买入即赚钱”的投资策略, 公司投资覆盖住宅独栋、公寓楼、Build-for-Rent(BFR)、仓储设施及商业购物中心等多个地产类别,投资范围遍及全美 20 多个州。Connie 已完成数千笔房地产交易,管理资产价值数亿美元房产投资组合。 在这之前,她还创立了 Texas Renaissance Homes,专注于投资**非公开市场(Off-Market)**的困境房地产、批发、翻新转售(Fix-flip)及增值型投资机会。凭借稳健且快速的成功,UFUND的业务不断增长,并持续扩展。

117K

Subscribers

14.1M

Total views

598

Videos

Avg views (recent)

not yet captured

Estimated rate · Integrated video

Subs-based fallback · Low confidence

Low

$609

Typical

$762

High

$1,088

Niche CPM
$28–50anchor $35
Avg views
21,762tier-based estimate
Format mult
1.00×
Exclusivity
No exclusivitybaseline

Estimated · benchmark only · not claimed by creator. View count not yet captured — tier-based fallback (low confidence). How this works →

Influence profile

Display only · not a price input
Size tier
Mid (100K–500K)
Activity
Activity unknownavg views not yet captured
Niche
Real Estate
Country · language
United States
US equities coverage
Not flagged
SEC §17(b) disclosure
Not assessed

About 美国Connie

美国Connie, operating under the handle @connie5508 on YouTube, is a US-based creator focused on real estate, finance, and business content. The channel has accumulated 110,000 subscribers and 13,590,981 total views across 581 published videos. Connie is identified as the founder and CEO of UFUND Investment, a private real estate investment firm specializing in US small and mid-market properties. This firm manages both debt and equity funds, employing a 'buy-to-earn' investment strategy. UFUND Investment's portfolio spans various property types, including single-family homes, apartment buildings, Build-for-Rent (BFR) properties, storage facilities, and commercial shopping centers, with investments across more than 20 states in the US. Prior to UFUND, Connie founded Texas Renaissance Homes, which focused on off-market distressed real estate, wholesale, fix-and-flip, and value-add investment opportunities. The creator's content is likely to cover these areas of expertise, providing insights into real estate investment strategies and market analysis.

美国Connie's estimated sponsorship rates

The estimated rate for a sponsored video integration on the 美国Connie YouTube channel ranges from $573 to $1,023, with a typical rate around $716. This estimate is influenced by several factors, including the channel's subscriber count of 110,000, which places it in the mid-tier audience classification. The real estate niche generally commands a higher CPM band, estimated between $28 and $50, with an anchor CPM of $35. This elevated niche CPM reflects the specialized and high-value nature of real estate and finance content, which often attracts advertisers in sectors with substantial transaction values. The rate calculation also considers an estimated 20,460 views per video, derived from a subscriber-based fallback model due to the absence of recent average view data. While the subscriber count is a primary driver, the specific format (YouTube video integration) and the channel's focus on a high-value vertical contribute to the determined pricing range. For a detailed breakdown of how these rates are calculated, refer to the /methodology page.

Who should partner with 美国Connie?

美国Connie's audience, totaling 110,000 subscribers, is primarily interested in real estate, finance, and business topics. This demographic is likely to engage with content related to property investment, market analysis, and wealth management strategies. Brands that typically resonate with this audience include fintech applications, online brokerage platforms, personal-finance education services, real estate investment trusts (REITs), property management software, and companies offering financial advisory services. Given Connie's background in private real estate investment and distressed property, the audience may also show interest in specialized real estate services, property development, and investment opportunities in various market segments. Peer channels such as Real Estate Rookie (@realestaterookie, 111,000 subscribers) and Personal Finance with Ravi Sharma (@personalfinancewithravisharma, 111,000 subscribers) cater to a similar demographic, indicating a shared interest in practical financial and real estate guidance. The content's focus on US small and medium markets, as well as diverse property types, suggests an audience seeking actionable insights for investment and wealth building within these specific areas.

美国Connie's growth and performance

Growth data for the 美国Connie channel currently reflects a single snapshot. The channel was first tracked on 2026-05-28 with 110,000 subscribers. As of the latest snapshot on the same date, the subscriber count remained at 110,000. This provides a limited view of the channel's growth trajectory, with a delta of +0 subscribers over a one-day span. We do not yet have historical view-count data or average views for the last 30 days to provide a more comprehensive analysis of recent engagement trends. Future tracking will provide more extensive data points to assess subscriber growth and content performance over time.

How our pricing estimate works for 美国Connie

The estimated pricing for content integration on the 美国Connie channel is generated through an algorithmic model. This model calculates a rate based on the channel's subscriber count, which is then multiplied by a niche-specific CPM (Cost Per Mille) and further adjusted by platform and format multipliers. For this creator, the subscriber count of 110,000 places them in the mid-tier audience category. The real estate niche is assigned a CPM band of $28-50, with an anchor CPM of $35, reflecting the typical value advertisers place on reaching this specialized audience. The estimated views used in this calculation, 20,460, are derived from a subscriber-based fallback due to the unavailability of recent average view data, resulting in a low confidence level for this specific view metric. The final price range of $573 to $1,023 for a YouTube video integration is an algorithmic projection designed to provide a data-driven estimate. A comprehensive explanation of the variables, multipliers, and data sources used in our pricing algorithm can be found on the /methodology page.