Cable Shopping Network (CSN) operates a high-volume sales environment where agents sell rare and hard-to-find collectible coins, paper money, foreign coins, ancient coins, and other collectible products.
However, agents must avoid language that implies a purchase is an investment or will increase in value over time. For example, a statement such as “if you buy it now, it will be worth three times the amount in a few years” could trigger compliance violations, customer disputes, and potential legal risk for CSN.
Challenges
Before MiaRec, compliance oversight depended on random call reviews, manual transcript reading, and managers listening to full recordings.
That process was limited by time. Managers could listen to only a small portion of calls, and even when transcripts were available, someone still had to read through the full conversation to find the specific moment that mattered.
As Charles McHugh, COO & CIO of Cable Shopping Network, explained, random review was no longer enough. In his view, companies can no longer simply say that some calls slipped through because there were too many to review. Cable Shopping Network needed a way to review all calls, then take corrective action when necessary.
The team also needed to support a growing sales floor. Sales had quadrupled and call volume nearly doubled, and onboarding new salespeople had become a bigger priority. At the time, onboarding could take roughly 6 months, making it difficult to ramp new reps quickly enough to capitalize on peak sales periods.
The Solution
Cable Shopping Network adopted MiaRec to analyse calls automatically, surface potential compliance risks, and give managers summaries that make review faster and more actionable.
MiaRec and Cable Shopping Network worked together to build a custom AI insight tailored to CSN’s compliance requirements. Using criteria provided by CSN, the insight flags potential investment-claim language across calls and surfaces relevant conversations for manager review.
Instead of manually searching through recordings or transcripts, Jim Taylor, Director of Sales, can review flagged conversations each morning and quickly determine which ones require coaching or corrective action.
CSN also built a sales Auto QA scorecard to evaluate agent performance across key parts of the sales conversation, including discovery, product presentation, and objection handling. This gives sales leaders a structured way to coach reps on compliant sales execution.
The result is a focused review workflow: MiaRec highlights the calls and moments that need attention, so managers can spend less time searching and more time coaching.
The Results
Reduced New-Hire Onboarding Time by up to 33%
One of Cable Shopping Network’s strongest measurable outcomes was a shorter ramp time for new sales reps.
Before MiaRec, onboarding new sales hires took roughly 6 months. With more coachable opportunities from AI-powered QA evaluations and potential investment-claim insights, CSN brought that timeline down to 4–5 months, an improvement of up to 33%.
While onboarding is still a highly personal process, MiaRec has become an important part of how managers coach new reps. Instead of relying only on random observation, managers can review actual call examples, identify recurring patterns, and ask specific questions about how a rep handled discovery, product presentation, objection handling, and compliant language.
That gives new-hire coaching more precision and helps sales leaders reinforce the behaviours that lead to stronger, more compliant customer conversations.
Cut Daily Compliance Review to About 10 Minutes
MiaRec gave Cable Shopping Network a practical way to prioritize compliance review.
In one example, CSN had 1,773 calls in a single day. MiaRec surfaced 43 calls with potential investment-claim language and highlighted the exact moments in each conversation that needed attention. Instead of searching through a large volume of recordings or full transcripts, Jim Taylor had a focused list of relevant call snippets to evaluate.
With MiaRec pointing him to the specific moments that need attention, Jim can review the flagged conversations in about 10 minutes and complete the broader write-up process in roughly 30 minutes. That workflow includes reviewing calls, preparing write-ups, and presenting coaching documentation to the sales team member when needed.
The impact goes beyond time savings. By surfacing potential issues quickly, MiaRec helps CSN coach reps sooner, document corrective action, and reinforce compliant language across the sales team. Jim can also share flagged examples in morning meetings, helping the entire team understand which language to avoid.
Managed Quadrupled Sales With Better Visibility and No Added Leadership Headcount
Cable Shopping Network’s growth created a major operational challenge. The company expected sales opportunities to double, but sales instead quadrupled. At the same time, call volume nearly doubled.
Despite the increase in sales activity and call volume, CSN did not add additional sales leadership headcount. MiaRec’s Auto QA and Conversation Intelligence analytics helped the existing leadership team keep up by reducing manual review and surfacing the conversations that need attention.
That visibility also gave managers a more practical way to coach sales execution. Charles shared that the team can now see where conversations break down, where opportunities are lost, and where new employees need coaching. MiaRec also helped CSN identify that reps who stayed close to approved scripts, fact sheets, and product presentation guidance tended to have a higher likelihood of making a sale.
Instead of guessing which behaviours matter, sales leaders can use call data to identify patterns across real conversations and focus coaching on the moments that affect compliance, customer trust, and sales performance.
This blog post has been re-published by kind permission of MiaRec – View the Original Article
For more information about MiaRec - visit the MiaRec Website
About MiaRec
MiaRec is a global provider of Conversation Intelligence and Auto QA solutions, helping contact centers save time and cost through AI-based automation and customer-driven business intelligence. Find out more about MiaRec
Author: MiaRec
Reviewed by: Jo Robinson
Published On: 30th Jul 2026
Read more about - Industry News, Case Studies, MiaRec
