Key Takeaways
- LendingTree's Q2 2026 earnings reveal that SMB lending volume softened due to merchant sentiment shifts and lender pullback, creating a redistribution of deal flow toward independent MCA funders.
- When marketplace platforms tighten, brokers route more applications directly to funders, increasing the need for reliable bank verification software for funders who must now vet higher volumes independently.
- AI-driven communication tools, which LendingTree's CEO highlighted as "very exciting," do not replace the need for verified, visual evidence of banking activity during underwriting.
- Funders who invest in asynchronous bank verification now will capture displaced deal flow faster than competitors still relying on manual scheduling and phone-based verification.
LendingTree's Q2 Softness Sends a Signal Independent Funders Cannot Ignore
During its Q2 2026 earnings call, LendingTree CEO Scott Peyree acknowledged that the company's SMB lending business underperformed, citing both "merchant sentiment" shifts and "lender pullback" as contributing factors. Performance in July, he noted, provided confidence that Q2 was the trough and a recovery had begun. But the more revealing signal for independent MCA funders is not the recovery forecast. It is what happens to deal flow during periods when major marketplace platforms slow down.
When a marketplace the size of LendingTree softens its SMB lending pipeline, applications do not simply disappear. Brokers redirect them. Merchants who would have been matched through algorithmic lead distribution now arrive at independent funders through direct broker relationships, referral networks, and ISO channels. The problem is that most independent funders lack the verification infrastructure that marketplace platforms embed into their own pipelines. That gap makes bank verification software for funders not just a convenience, but a competitive requirement for capturing displaced volume without compromising underwriting quality.
This article breaks down why LendingTree's trough matters for funders operating outside the marketplace ecosystem, how AI communication tools differ from AI verification tools, and what funders should do right now to prepare for the recovery Peyree described.
How Marketplace Pullback Redistributes Deal Flow to Independent Funders
Brokers Route Around Soft Marketplaces
LendingTree's model works by generating leads and distributing them to partner lenders. When lender appetite within the marketplace declines, lead monetization drops, and brokers who rely on marketplace distribution begin routing applications elsewhere. This is not speculation. It is the economic logic of a broker who earns commissions on funded deals, not on submitted applications.
Independent MCA funders benefit from this dynamic, but only if they can process incoming applications at marketplace speed. The challenge is that marketplace platforms like LendingTree have spent years building automated intake, scoring, and verification workflows. Independent funders often rely on manual processes: scheduling phone calls with merchants, walking them through their banking portal live, and reviewing statements line by line. When broker volume spikes because a major marketplace is in a trough, these manual processes become bottlenecks. As we explored in our analysis of how referral marketplaces reshape bank verification software for MCA funders, the gap between marketplace-grade infrastructure and independent funder workflows is widening with every quarter.
More Volume Without More Infrastructure Equals More Risk
Higher application volume without corresponding verification capacity creates predictable problems. Underwriters rush through reviews. Verification calls get delayed by days because of scheduling conflicts. Merchants in different time zones cannot coordinate with East Coast underwriting teams. The result is either slower funding decisions, which lose deals, or faster decisions made with less evidence, which increase default risk.
This is the exact scenario where bank verification software for funders provides structural advantage. Asynchronous verification removes the scheduling constraint entirely. The merchant records their banking session when it is convenient for them. The underwriter reviews the recording when it fits their workflow. Neither party waits for the other. The deal moves forward without the friction that kills velocity during volume surges.
Lender Pullback Means the Underwriting Bar Goes Up, Not Down
When Peyree mentioned "lender pullback" as a factor in Q2 softness, he was describing a market where lenders are becoming more selective, not less. This is a critical nuance. During pullback periods, the merchants seeking funding tend to be higher-risk on average because lower-risk merchants are being retained by the lenders still active in the marketplace. Independent funders absorbing displaced flow need stronger verification, not weaker, to avoid adverse selection.
AI-powered bank verification addresses this by providing visual, timestamped evidence of live banking activity. Unlike static bank statements, which can be manipulated with basic PDF editing tools, a screen recording of a live banking session is nearly impossible to convincingly fabricate. The recording shows real-time page loads, URL bar activity, scrolling behavior, and session timestamps that together form an authenticity fingerprint no document alone can provide.
AI Communication Tools Are Not AI Verification Tools
What LendingTree Means by AI Communication
Peyree's enthusiasm about "using AI as a communication tool with the consumer" during the same earnings call points to a specific use case: lead handling. Instead of sending a lead out five times and having five different brokers call the consumer, LendingTree envisions AI managing that initial communication, qualifying intent, and routing the lead more efficiently. This is lead management optimization. It reduces noise for the consumer and improves conversion rates for the marketplace.
But communication is not verification. An AI chatbot that qualifies a merchant's interest in funding tells you nothing about whether their bank account shows the revenue patterns they claim. It does not confirm that the daily deposits match the stated business volume. It does not reveal whether there are existing MCA positions stacking on top of the one being requested. These are verification problems, and they require verification tools.
Why AI Verification Requires Visual Evidence, Not Just Data
Open banking APIs and automated data pulls have improved access to transaction data, but they have not solved the verification problem completely. API connections can fail, return incomplete data, or be unavailable for certain banking institutions, particularly smaller community banks and credit unions that many MCA merchants use. In Canada, where Exact Balance operates with deep expertise, the open banking framework is still evolving under the federal government's consumer-driven banking initiative, and coverage gaps persist across major institutions.
Exact Balance takes a different approach. Rather than relying on API connectivity to pull transaction data, the platform has applicants record their live banking session directly in their browser. An AI-guided floating coach walks them through each step, verifying completion in real time. The resulting recording provides visual proof of account ownership, balance history, and transaction patterns that an underwriter can review at any time. This async model works regardless of banking institution, API availability, or time zone, which makes it especially powerful during periods of displaced deal flow when merchants come from unfamiliar channels.
How Funders Should Prepare for the Recovery with Async Verification
Peyree's confidence that Q2 was the trough implies recovery is already underway. For independent funders, this means the window to build verification capacity before volume returns is narrow. Waiting until deal flow surges to implement new tools is a recipe for missed opportunities and sloppy underwriting.
Three tactical steps make the difference. First, funders should audit their current verification turnaround time. If the average time from application receipt to completed bank verification exceeds 48 hours, there is a scheduling bottleneck that async recording eliminates immediately. Second, funders should evaluate how many deals are lost or delayed because of time zone mismatches between underwriting teams and merchant locations. Async verification removes this variable entirely. Third, funders should assess their audit trail completeness. Every recording in Exact Balance is timestamped and stored securely in Google Cloud, creating the compliance documentation that regulators and investors increasingly require.
The connection between marketplace softness and independent funder opportunity is not new. We documented a similar dynamic when examining how SMB lending cooling signals reshape bank verification software for funders. The pattern repeats: when large platforms pull back, deal flow redistributes, and the funders with the best verification infrastructure capture the highest-quality deals.
What is new in 2026 is the convergence of AI communication tools at the top of the funnel with persistent manual bottlenecks at the verification layer. LendingTree is solving the communication problem with AI. Independent funders need to solve the verification problem with purpose-built tools that match the speed and reliability their competitors are building into every other stage of the lending workflow.
Frequently Asked Questions
What is bank verification software for funders?
Bank verification software for funders is a category of tools that allow MCA lenders and alternative finance companies to confirm the authenticity of a merchant's bank account activity as part of the underwriting process. These tools replace or supplement manual verification calls by providing structured methods, such as screen recordings, API data pulls, or document analysis, to validate that stated revenue, balances, and transaction patterns are real. Exact Balance specifically uses asynchronous screen recordings of live banking sessions, which provide visual proof without requiring scheduled calls.
How does LendingTree's SMB lending pullback affect independent MCA funders?
When LendingTree's SMB lending volume softens, brokers who normally route applications through the marketplace begin sending deals directly to independent funders. This increases application volume for funders who may not have the infrastructure to handle it efficiently. Funders with async bank verification can absorb this volume without adding staff or extending turnaround times, while funders relying on manual scheduling face delays that cost them deals.
Can AI chatbots replace bank verification in MCA underwriting?
No. AI chatbots and communication tools optimize lead handling and consumer interaction, but they do not verify the contents of a merchant's bank account. Verification requires access to actual banking data, either through API connections, document review, or visual evidence from screen recordings. LendingTree's AI communication tools address a different problem, specifically lead routing efficiency, than what bank verification software solves.
Why does async verification matter more during market softness?
During periods of market softness, deal flow shifts unpredictably between channels. Merchants may come from unfamiliar brokers, different time zones, or regions where a funder has less operational coverage. Async verification eliminates scheduling dependencies, meaning a merchant in Vancouver can record their banking session at 10 PM and an underwriter in Toronto can review it at 8 AM the next morning. This flexibility is critical when deal sources diversify rapidly during marketplace pullbacks.
Conclusion
LendingTree's Q2 trough is a signal, not a setback, for independent MCA funders. The deal flow that marketplace platforms cannot absorb during pullback periods flows directly to funders who can verify and fund quickly. AI is transforming the top of the lending funnel through better communication and lead routing, but the verification layer remains the bottleneck that determines who closes deals and who loses them.
Exact Balance gives funders the async verification infrastructure to capture displaced deal flow without sacrificing underwriting rigor. No scheduling. No time zone headaches. Full audit trails. Visit exactbalance.ca to see how async bank verification fits into your workflow and positions your team to win during recovery.