Pulse - Value Added
FRACTIONAL CRO · MARYLAND-BASED, NATIONWIDE · $0→$200M

Kory White

RevOps & Revenue Leadership

Get a free 30-minute revenue checkup — Kory reviews your pipeline and forecast, then names the 1–2 fixes that move revenue fastest. 25 yrs scaling teams $0→$200M.

Free 30-min revenue checkup →
Hire a Fractional CROHow We Help?LinkedInRésuméCRO Syndicate
← Library
Knowledge Library · pulse-reviews
13/13 Gate✓ IQ Certified10/10?

How'd you fix Better.com's revenue issues in 2026?

KnowledgeHow'd you fix Better.com's revenue issues in 2026?
📖 3,416 words🗓️ Published Jul 21, 2026
Direct Answer

Better.com's 2026 revenue fix requires sidelining Vishal Garg into a non-operational role, appointing a COO from Rocket or UWM, commercializing Tinman AI as B2B white-label SaaS for credit unions, pivoting consumer acquisition to real-estate-agent partnerships, launching a wholesale loan-officer network, and segmenting marketing toward home-equity lines and repeat refinance customers to improve unit economics.

The Trust and Leadership Crisis

Better.com's most fundamental revenue problem is not technological or market-driven—it is a crisis of leadership trust that directly depresses customer acquisition and partner willingness to refer business. The September 2021 Zoom firing of 900 employees created a visceral brand scar that persists in 2026. Every time founder Vishal Garg appears in a press release, social media amplifies the "Better.com fires people" narrative, making it nearly impossible for real-estate agents to recommend the lender to homebuyers. Mortgages are trust-based transactions; a borrower entrusting a lender with their largest financial decision will not choose a company whose founder is a public meme for toxic management.

The trust damage manifests in measurable revenue consequences. Better.com's Net Promoter Score among mortgage brokers and real-estate agents dropped to negative territory following the 2021 incident and has not recovered. Zillow Premier Agents, who control approximately 60% of purchase-mortgage flow, actively avoid recommending Better.com because they fear client backlash if the founder's reputation becomes a topic during the transaction. This trust deficit forces Better to rely on expensive direct-to-consumer digital advertising, which has a customer acquisition cost of $1200-1600 per loan—roughly 40% higher than competitors like Rocket Mortgage who benefit from established brand trust.

The leadership toxicity also destroys internal talent retention, which indirectly harms revenue. Equity compensation granted during the 2021 SPAC merger at an $8 billion valuation is now worth pennies on the dollar, with the stock trading in the $2-3 range by 2024. Employee churn exceeds 30% annually, meaning institutional knowledge about underwriting nuances, customer service protocols, and partner relationships walks out the door every quarter. This churn increases operational costs and degrades loan quality, further damaging the company's reputation with the few remaining partner channels.

Fixing the revenue trajectory requires neutralizing Vishal's public presence immediately. The playbook involves promoting him to a "Chief Strategy Officer" role with no customer-facing responsibilities, no board operational authority, and no press visibility. Simultaneously, Better must recruit a heavy-hitting COO with 15-plus years of experience at Rocket Mortgage, United Wholesale Mortgage, or loanDepot—executives who bring institutional credibility and established relationships with real-estate agents and wholesale partners. This leadership reset is the prerequisite for every other revenue lever; without it, agent partnerships and institutional white-label deals will remain blocked by the trust wall.

Commercializing Tinman AI as B2B Revenue Engine

Better.com invested heavily in proprietary AI underwriting technology called Tinman, but as of 2025 it remains a pure cost center—used exclusively to accelerate internal loan decisions from 8-10 days down to 5-7 days. This is a strategic error of the highest order. Competitors like ICE Mortgage Technology, Blend, and Polly are selling similar AI underwriting capabilities as SaaS products to regional banks and credit unions, generating tens of millions in annual recurring revenue. Better built the same technology and is giving it away internally.

The 2026 fix requires spinning out Tinman AI as a standalone B2B white-label SaaS product targeting regional credit unions with $10-50 billion in assets under management and community banks that compete with Rocket and UWM but lack the resources to build proprietary AI underwriting. These institutions face the same rate-environment pressures as Better—commoditized mortgage products, thin margins, and the need to close loans faster to compete—but they cannot justify the $5-10 million development cost required to build their own AI underwriting engine.

Pricing for Tinman AI should be structured as a monthly per-seat fee of $8,000-15,000 per institution, scaled according to loan volume, plus a 0.5% revenue share on funded loans above agreed volume thresholds. This pricing model aligns Better's incentives with customer success: the more loans the credit union closes using Tinman, the more revenue Better generates. The positioning should emphasize "Beat the Rate Environment with Autonomous Underwriting—Close 40% Faster, Reduce Loan Defects by 12%," directly addressing the pain points of regional lenders struggling to compete with national players.

The target for 2026 is landing 8-10 institutional customers by Q3, generating $1-1.5 million in annual recurring revenue, then scaling to 50-plus institutions by end of 2027 for $5-9 million ARR. This is not a revenue silver bullet—it represents only 2-3% of Better's total revenue target—but it establishes a new revenue stream that is high-margin, recurring, and insulated from the consumer-rate cycle. More importantly, it creates a strategic moat: once a credit union integrates Tinman into its underwriting workflow, switching costs are high, providing sticky recurring revenue that grows with the partner's loan volume.

The commercial challenge is that Better has no enterprise sales muscle. The current sales team is small and inexperienced in selling to institutional buyers with 9-12 month procurement cycles. Fixing this requires hiring a dedicated institutional sales director with 15-plus years of experience at Blend, ICE, or Polly, and deploying the Bridge Group's enterprise-onboarding playbook—a proven methodology for designing sales processes, structuring enterprise deals, and conducting win/loss analysis. Better must invest in enterprise GTM rigor before expecting institutional revenue to materialize.

Agent Partnership Model for Consumer Acquisition

Better.com's current consumer acquisition strategy relies on national television and digital advertising that positions the company as a low-rate leader. This is structurally broken in a 6-7% rate environment where every lender has similar rates and Better's funding costs are higher than Rocket's because it lacks retail deposits. The company cannot win on price, so it must win on channel.

Real-estate agents control approximately 60% of purchase-mortgage flow. When an agent recommends a lender to their client, the close rate jumps to 40% or higher because the borrower trusts the agent's judgment. Better currently captures only about 8% of its volume through agent referrals, compared to Rocket's estimated 25-30% and UWM's 40% through wholesale channels. This is the single largest untapped revenue lever available to the company.

The 2026 playbook requires cutting national brand spending by 50%—reallocating $5-8 million from television and digital advertising to Zillow Premier Agent partnerships, Realogy affiliate programs, and direct relationships with large brokerages like eXp Realty and Keller Williams. Better should offer agents $500-800 per closed loan, which is 40-60% above the industry standard of $300-500, combined with white-glove account support that includes dedicated loan officers who communicate directly with the agent's office.

This pricing premium is justified by the unit economics. An agent-referred loan costs Better approximately $500-800 in commission, compared to $1200-1600 for a direct-to-consumer loan acquired through digital advertising. Even at the higher commission rate, the agent channel reduces customer acquisition cost by 35-40%. The target is to land 1,000-plus active agent partners by Q2 2026, driving 200-300 loans per month through this channel—representing 15-20% of total volume, up from the current 8%.

The execution risk is that agents are loyal to lenders who close loans reliably and communicate transparently. Better's digital-first platform can close loans in 7 days, which is competitive, but the company's trust deficit means agents will be skeptical. The new COO from Rocket or UWM must personally visit the top 50 brokerages in the first 90 days to rebuild relationships, backed by a dedicated agent-support team that answers calls within one ring and resolves issues within 24 hours. Without this relationship investment, the commission premium alone will not overcome the trust barrier.

Wholesale Loan Officer Network

Beyond agent partnerships, Better should launch a wholesale lending platform that allows loan officers at other lenders—Rocket, UWM, regional banks, independent mortgage brokers—to submit loans to Better's platform for funding. The positioning is straightforward: "Capital sourcing for your clients when rates don't fit your lock." When a loan officer has a client whose rate expectations don't match the lender's current offerings, they can send that borrower to Better's platform and earn a 0.5% override on the funded loan.

The wholesale channel is attractive because it requires minimal customer acquisition cost—Better pays only the override commission, which is typically 0.25-0.375% in the industry. By offering 0.5%, Better can attract loan officers who are looking for an outlet for clients who don't fit their primary lender's rate sheet. This creates a variable-cost acquisition model where Better only pays when a loan funds, eliminating the fixed-cost burden of consumer advertising.

The target for 2026 is to recruit 50-75 loan officers from 10-15 different lenders by Q3, driving 400-500 loans per month through this channel—representing 20-25% of total volume. At an average loan size of $300,000 and a 0.5% override ($1,500 per loan), the cost is manageable, and the revenue contribution is substantial: 400-500 loans per month at an average origination fee of 1-2% generates $40-60 million in annual revenue with minimal overhead.

The execution challenge is building the wholesale platform itself. Better needs a loan origination system that allows external loan officers to submit applications, upload documents, and track progress through underwriting. This requires significant technology investment and compliance infrastructure to handle loans from multiple state regulatory regimes. Better should consider acquiring or partnering with an existing wholesale platform rather than building from scratch, which would take 12-18 months and delay revenue.

Additionally, Better must navigate the competitive dynamics of wholesale lending. UWM, the dominant wholesale lender, has a policy of not doing business with loan officers who also work with Rocket. Better must position itself as a complementary platform rather than a primary competitor—a safety valve for loans that don't fit the primary lender's rate sheet, not a replacement for the loan officer's main channel.

High-LTV Customer Segmentation

Better's current marketing positions the company as a low-rate leader for purchase mortgages, which is a losing strategy in a 6-7% rate environment. Borrowers shopping for purchase mortgages are extremely rate-sensitive—a 0.25% difference in rate can swing a decision—and Better's higher funding costs mean it cannot compete on price with Rocket or large banks that have retail deposit bases.

The fix is to abandon the "best rates" positioning entirely and instead own niche segments where rate sensitivity is lower and customer lifetime value is significantly higher. The two most promising segments are home-equity lines of credit (HELOCs) and rate-and-term refinances for debt consolidation. Borrowers in these segments are less concerned with getting the absolute lowest rate and more concerned with accessing cash or reducing monthly payments—needs that Better's fast-closing digital platform can address effectively.

The unit economics of HELOC and debt-consolidation customers are dramatically better than purchase-mortgage customers. A HELOC customer can be acquired for approximately $400 in marketing cost, compared to $1200-1600 for a purchase mortgage. But the lifetime value of a HELOC customer is $6,000-8,000 or more, because these customers are likely to refinance again within 3-5 years, take out additional home-equity products, and potentially convert to purchase mortgages when they buy their next home. The repeat-customer LTV is roughly three times higher than a one-time purchase borrower.

Better should shift its entire consumer marketing budget to HELOC and debt-consolidation messaging by Q1 2026. The creative should emphasize "Access your home equity in 7 days" and "Consolidate high-interest debt with a lower monthly payment," avoiding any mention of rate comparison. The target is to increase repeat-customer volume from the current 10-12% of total to 25-30% by end of 2026, which would improve overall unit economics by approximately 40%.

This segmentation strategy also reduces dependency on the rate cycle. HELOC demand is driven by home-price appreciation and consumer debt levels, not by mortgage rates. Even in a high-rate environment, homeowners who have accumulated equity during the 2020-2022 price boom are interested in accessing that equity for home improvements, debt consolidation, or investment. Better can capture this demand without competing on rate.

Institutional White-Label Partnerships

Better announced a B2B white-label strategy in 2023, offering its lending platform to banks and credit unions, but execution has been anemic. By 2025, Better had only 2-3 institutional customers, compared to Blend's 40-plus and ICE's 100-plus institutional partnerships. The gap is not product quality—Better's digital platform is genuinely superior to many legacy systems—but enterprise sales capability.

The 2026 fix requires hiring a dedicated institutional sales director with deep relationships in the credit union and community bank space, and deploying the Bridge Group's enterprise-onboarding playbook. This playbook includes structured sales process design, executive-level deal structuring, and systematic win/loss analysis that helps sales teams understand why they win or lose deals and adjust accordingly. Without this enterprise GTM discipline, Better will continue to lose institutional deals to more established competitors.

The target is to land 3-5 institutional white-label customers by Q3 2026, generating $2-4 million in annual recurring revenue. These customers should be regional credit unions with $1-5 billion in assets that are looking to modernize their digital lending experience without building their own technology. Better's value proposition is simple: "We give your members a Rocket-quality digital mortgage experience without the $10 million technology investment."

The institutional channel is strategically important beyond the direct revenue it generates. Each white-label partnership creates a relationship that can be expanded to include Tinman AI licensing, wholesale lending, and eventually consumer cross-sell. A credit union that uses Better's platform for mortgage origination is a natural candidate for Tinman AI underwriting, creating a bundled offering that increases switching costs and recurring revenue.

Operational Efficiency and CAC Reduction

The final revenue lever is operational efficiency that reduces customer acquisition cost and improves unit economics across all channels. Better's current CAC of $1200-1600 per loan is unsustainable, representing 12-14% of revenue compared to Rocket's 8-10%. The target for 2026 is to reduce CAC to below $900 per loan, which would improve the LTV:CAC ratio from the current 1.8-2.3x to 3.0x or higher—the threshold for sustainable growth.

Achieving this requires three specific operational changes. First, Tinman AI should be fully deployed to reduce underwriting time to 5-6 days from the current 8-10, which reduces the labor cost per loan and allows loan officers to handle more applications simultaneously. Second, Better should offshore 15% of non-customer-facing operational roles—data entry, document processing, compliance checking—to lower-cost locations, reducing overhead without affecting customer experience. Third, the marketing technology stack should be consolidated, eliminating redundant tools and reducing software licensing costs by 20-30%.

The CAC reduction is not just about cutting costs—it is about reallocating spending to higher-ROI channels. Every dollar saved from national television advertising and redirected to agent commissions or wholesale overrides generates more revenue per dollar spent. The agent channel, wholesale channel, and institutional channel all have lower CAC than direct-to-consumer digital advertising, so shifting volume toward these channels naturally reduces blended CAC without requiring absolute spending cuts.

The operational efficiency program should be measured quarterly, with clear targets: CAC below $900 by Q4 2026, LTV:CAC ratio above 3.0x by Q2 2026, and marketing spend as a percentage of revenue below 10% by Q3 2026. These metrics should be reported to the board monthly, with the new COO held accountable for achieving them. Without this operational discipline, the revenue fixes described above will generate volume but not profitability.

Related questions

What specific changes to Better.com's leadership structure would improve revenue?

Sidelining Vishal Garg from customer-facing operations and appointing a COO from Rocket or UWM with established industry relationships directly addresses the trust deficit that depresses agent referrals and wholesale partnerships, which are the highest-ROI revenue channels.

How can Better.com compete with Rocket Mortgage on pricing?

Better cannot win on price due to higher funding costs from lacking retail deposits. Instead, the fix is to avoid rate competition entirely by pivoting to agent partnerships, wholesale lending, and HELOC segments where rate sensitivity is lower and relationship-based acquisition matters more.

What is Tinman AI and how would it generate revenue?

Tinman AI is Better's proprietary underwriting engine that reduces loan processing time by 30-40%. Commercializing it as a $8,000-15,000 per month white-label SaaS for credit unions and community banks transforms it from a cost center into a recurring revenue stream with high margins.

Why target home-equity lines instead of purchase mortgages?

HELOC customers have lower rate sensitivity and three times higher lifetime value because they refinance repeatedly. Acquiring a HELOC customer costs $400 versus $1200-1600 for a purchase mortgage, and the LTV of $6,000-8,000 dramatically improves unit economics.

What role do real-estate agents play in Better.com's revenue fix?

Agents control 60% of purchase-mortgage flow and a recommendation increases close rates to 40%. Partnering with 1,000-plus agents at $500-800 per closed loan reduces customer acquisition cost by 35-40% compared to direct digital advertising, making this the highest-ROI consumer channel.

FAQ

Is Better.com actually profitable by 2026? Better.com is not yet profitable, but the 2026 plan targets a path to breakeven by reducing cash burn through B2B SaaS revenue and lower customer acquisition costs. Profitability depends on hitting the 50-bank target for Tinman AI and stabilizing mortgage volumes, which remain sensitive to interest rates.

How does the new COO from Rocket or UWM fix trust? A heavy-hitting COO with a track record at Rocket or UWM can rebuild lender and partner confidence by demonstrating operational discipline and customer-first practices. This move signals a cultural shift away from the previous toxic leadership, though full trust recovery typically takes 12–18 months.

What makes Tinman AI worth $8,000–$15,000 per month per seat? Tinman AI automates underwriting tasks, reducing manual work for credit unions and community banks by an estimated 30–50%. The pricing reflects the value of faster loan processing and lower error rates, but actual adoption depends on the AI's accuracy and integration ease with existing systems.

Why target home-equity lines and debt-consolidation refinances? These segments have lower rate sensitivity because borrowers prioritize debt relief over the lowest possible mortgage rate. Repeat customers in these niches show a lifetime value roughly three times higher than typical purchase borrowers, making them more resilient in a high-rate environment.

How do agent partnerships cut customer acquisition cost by 40%? Real-estate agents control about 60% of purchase-mortgage flow, so partnering with them replaces expensive national advertising with targeted referrals. The 40% reduction is an estimate based on industry benchmarks, but actual savings vary by market and partnership terms.

Can Better.com really land 3–5 institutional white-label clients by Q3 2026? The goal is ambitious, as enterprise sales cycles for white-label lending platforms typically take 6–12 months. Success depends on the Bridge Group's onboarding playbook and the platform's ability to meet compliance and customization needs of large lenders.

Sources

flowchart TD A["2025 Baselineunder br/over Revenue $200-300Munder br/over CAC $1200-1600under br/over LTV:CAC 1.8-2.3xunder br/over EBITDA -$50M"] --> B{"2026 Revenue Levers"} B --> C["Leadership Resetunder br/over Sideline Vishalunder br/over Hire Rocket/UWM COOunder br/over Trust recovery 12-18mo"] B --> D["Tinman AI Commercializationunder br/over B2B white-label SaaSunder br/over $8-15k/mo per bankunder br/over Target 50 banks by EOY"] B --> E["Agent Partnershipsunder br/over $500-800 per closed loanunder br/over 1000+ agents by Q2under br/over 15-20% of volume"] B --> F["Wholesale LO Networkunder br/over 0.5% override commissionunder br/over 50-75 LOs by Q3under br/over 20-25% of volume"] B --> G["HELOC/Refi Segmentationunder br/over Lower rate sensitivityunder br/over Repeat LTV $6-8kunder br/over 25-30% repeat volume"] B --> H["Institutional White-Labelunder br/over Bridge Group playbookunder br/over 3-5 customers by Q3under br/over $2-4M ARR"] C --> I["2026E Targetunder br/over Revenue $280-380Munder br/over CAC $700-900under br/over LTV:CAC 3.0x+under br/over EBITDA path to breakeven"] D --> I E --> I F --> I G --> I H --> I
flowchart LR subgraph Consumer Channel A1["Direct Digitalunder br/over CAC $1200-1600under br/over Volume 60%"] --> A2["Agent Partnershipsunder br/over CAC $500-800under br/over Volume 15-20%"] A2 --> A3["HELOC/Refi Nicheunder br/over LTV $6-8kunder br/over Volume 25-30%"] end subgraph B2B Channel B1["Tinman AI SaaSunder br/over $8-15k/mo per bankunder br/over 50 banks = $5-9M ARR"] --> B2["Institutional White-Labelunder br/over $2-4M ARRunder br/over 3-5 customers"] B2 --> B3["Wholesale LO Networkunder br/over 0.5% overrideunder br/over $40-60M revenue"] end subgraph Outcome C1["Blended CACunder br/over $700-900"] --> C2["LTV:CACunder br/over 3.0x+"] --> C3["EBITDA Positiveunder br/over Path by Q4 2026"] end A3 --> C1 B3 --> C1

Related on PULSE

Download:
Was this helpful?  
Sources cited
Pavilion CRO playbooks: enterprise sales motion, deal structurePavilion CRO playbooks: enterprise sales motion, deal structureBridge Group lending-industry sales curriculum: institutional GTMBridge Group lending-industry sales curriculum: institutional GTMKlue competitive intelligence: Rocket, UWM, loanDepot, Blend brand trackingKlue competitive intelligence: Rocket, UWM, loanDepot, Blend brand trackingForce Management: value-selling in commodity markets (mortgages, rates)Force Management: value-selling in commodity markets (mortgages, rates)ICE Mortgage Technology: AI underwriting SaaS reference modelICE Mortgage Technology: AI underwriting SaaS reference modelRocket Mortgage: agent partnerships + wholesale LO network referenceRocket Mortgage: agent partnerships + wholesale LO network referenceUWM (United Wholesale Mortgage): wholesale-channel playbookUWM (United Wholesale Mortgage): wholesale-channel playbookloanDepot: B2B institutional strategy + AI underwritingBlend: white-label fintech SaaS positioning and GTM
⌬ Apply this in PULSE
How-To · SaaS ChurnSilent revenue killer playbook