How Thrasio Built a Coaching Culture That Scales Across 190+ Brands

Customer Care Across 190+ Brands at Scale

Thrasio operates one of the largest multi-brand consumer-product portfolios in e-commerce — at the time of this case study, more than 190 brands across dozens of categories, all reaching customers through the same shared customer-care operation. An estimated one in six households in the United States owns a Thrasio brand. Behind that footprint sits a single contact-center team whose agents have to know dozens of product lines well enough to answer questions, troubleshoot issues, and resolve complaints — for every brand, on every channel, every day.

The business problem at that scale is the obvious one: agents cannot be experts in 190 things. They have to be enabled to act like experts on the next conversation they take. That enablement is a coaching problem before it is a product-knowledge problem, and Thrasio's leadership recognized early that solving it was the foundation everything else rested on.

Manual Reporting Was Eating the Coaching Hours

In the system Thrasio ran before AmplifAI, team leaders did most of their own data work. They pulled reports, aggregated metrics across tools, tracked individual agent trends in spreadsheets, and only then sat down to coach. The order was wrong. Each step before the coaching session was time the coach was not coaching.

Three structural drags compounded:

• No single source of truth. Performance data lived across multiple disconnected tools. Team leaders rebuilt the picture from scratch for every 1:1.
• Generalized, KPI-driven coaching. With limited time, coaches defaulted to team-wide targets rather than the specific behavior gap an individual agent had that week. Coaching became a status update, not a development conversation.
• No consistency, no measurability. Coaching cadence varied team to team. There was no data-driven way to know whether the coaching being delivered was actually moving the agent's performance.

The result was predictable. In Q4 2021, the average Thrasio agent received 1.5 coaching sessions per month. Across a busy holiday quarter — for a portfolio supporting 190+ brands — most agents went weeks at a time without an individualized coaching conversation grounded in their own data.

A Top-Down Path to a Real Coaching Culture

In Q2 2022, Thrasio brought in AmplifAI as the coaching and performance management system sitting underneath the entire customer-care operation. The mandate was direct: free team leaders from the data-wrangling layer, put consolidated performance signals in front of every coach, and make every coaching conversation grounded in the agent's own data.

The implementation was not framed as a tooling upgrade. It was framed as a coaching-program rebuild that AmplifAI would underwrite. Thrasio's leadership invested simultaneously in coaching skills development for their people leaders so that the new platform met a coaching culture ready to use it — rather than landing on top of unchanged habits.

That sequencing mattered. The platform alone would have produced better dashboards. The platform plus the cultural change produced a different operating model entirely: team leaders stopped reporting and started coaching.

Where the 600% Coaching Lift, 71% FRT Drop, and 58% Resolution Lift Came From

Thrasio measured impact the way the retailer measured everything — a controlled before-and-after across equal windows. Q4 2021 (pre-AmplifAI) against Q4 2022 (full ramp on the platform, holiday season again — apples to apples). Three outcomes carried the case.

600% increase in coachings per agent, per month. Average coachings per agent went from 1.5 to 10.7 — an additional 9.2 coachings per agent, per month. The mechanism is the obvious one: the time team leaders used to spend assembling reports went directly into coaching conversations, and the conversations themselves became faster because the data was already in front of both people.

First Reply Time fell 71%. Average First Reply Time was 4.43 hours in Q1 2021 and 1.23 hours by 2022 — over three hours faster, every conversation. The driver was the type of coaching, not just the frequency. With consolidated agent-level data, coaches could see which agents were slow on first reply and why, and tailor each session to the specific behavior gap rather than reciting a team target.

Full Resolution Time fell 58%. The same engine that improved first reply moved the harder metric. Average Full Resolution Time dropped from 2.17 hours to 0.9 hours — over an hour faster per ticket, on the metric that captures the customer's actual experience: how long until the problem is solved.

The three results compound on each other. More coachings produced more individualized behavior changes. Each behavior change shaved minutes off the customer interaction. The faster interactions translated into faster resolutions across the board. None of the lifts is independent — they are the same operating-model change measured at different points in the customer journey.

From One Team to 190+ Brands: The Coaching Operating System

What started as a coaching-program rebuild became the operating system for delivering consistent customer experience across Thrasio's full brand portfolio. That portability is the part worth pulling out. The same call center coaching software that improves CSAT and resolution speed for one brand improves them for the next brand — because the variables are not the brand or the product, they are the agent's behavior on the next conversation.

Thrasio raised its goals as agents continued to clear them. Targets that were once aspirational became routine. The team-leader role shifted from "reporter of last week's numbers" to "developer of this week's behavior."

For an operation supporting 190+ brands across as many categories, that shift is the difference between scaling customer experience and rationing it. The same coaching engine, applied consistently across every team, produces the same customer-facing improvements across every brand — without the linear staffing cost that would otherwise be the only way to keep up with portfolio growth.