How Apex Lending Group increased call connections by 4.2x

Company Overview

Apex Lending Group is a regional personal lending company headquartered in Phoenix, Arizona. With a team of 45 loan officers, Apex processes over 2,000 leads per month across its core product lines: debt consolidation loans, home improvement financing, and medical expense lending.

Founded in 2017, Apex had built a solid reputation in the Southwest market. But as their lead volume grew, their sales model, which relied heavily on manual cold calling, started to break down. The team needed a way to reach more people without adding headcount or burning out their existing officers.

The Challenge

Before implementing Arnis, Apex Lending faced a set of compounding problems that were eating into both productivity and revenue.

• Massive cold-call volume with low returns. Each loan officer was cold-calling 80 to 100 leads per day, but only connecting with about 12% on the first dial. The rest went to voicemail or were never answered.
• Slow response times. Leads were going stale because the average time from lead capture to first contact was over 4 hours. In personal lending, speed matters. By the time Apex reached a lead, many had already spoken to a competitor.
• TCPA compliance gaps. With leads coming in from across multiple states and time zones, manual dialing created real compliance risk. Loan officers sometimes called outside permissible hours, and the company's TCPA compliance score sat at just 71%.
• Agent burnout and turnover. The repetitive grind of dialing and getting voicemails was taking a toll. Apex was seeing 28% annual turnover among loan officers, with exit interviews consistently citing call fatigue as a top reason for leaving.

Apex's VP of Sales, Marcus Rivera, described the situation plainly: "We were spending 80% of our time trying to reach people and only 20% actually talking to them. The math just didn't work anymore."

The Solution

Apex Lending deployed Arnis to shift from a call-first model to a text-first approach. Instead of dialing leads cold, Arnis engages each lead with a personalized SMS within minutes of capture, warming them up before a loan officer ever picks up the phone.

Here is how the implementation worked in practice:

• Text-first engagement. When a new lead enters the system, Arnis sends a personalized SMS that references the specific loan product the lead inquired about. The AI handles the initial conversation, answers basic questions about rates and eligibility, and gauges interest level.
• Smart callback scheduling. Instead of catching leads at inconvenient times, Arnis lets leads choose their own callback window. This means loan officers only call people who have actively opted in to a specific time slot.
• Built-in TCPA compliance. Arnis automatically enforces timezone-aware messaging windows, ensuring every text and call attempt falls within permissible hours for each lead's state. Opt-out handling is also automated.
• Local number presence. Using area code matching, Arnis sends texts from numbers that match the lead's local area code. This increased open and response rates significantly, since leads are more likely to engage with a familiar-looking number.
• Campaign-level context. Arnis was configured with product-specific knowledge so the AI could discuss debt consolidation terms, home improvement loan structures, and medical financing options accurately. Leads felt like they were talking to someone who understood their situation.

The Results

Over the first six months of using Arnis, Apex Lending saw a dramatic shift in every key performance metric. The chart below shows the month-over-month progression of connected calls before and after implementation.

The growth trajectory was consistent and compounding. By the sixth month, Apex was connecting with 4.2 times more leads than before, while their loan officers were actually making fewer total dials per day. The key difference: every call they made was to a lead who had already expressed interest and chosen a time to talk.

By the Numbers

Deployment Timeline