# A six-brand jewelry wholesaler calls customers while they shop, and signal-led orders reach 11.5% of revenue

> In short: A jewelry wholesaler with six brands, about 20 years in business, selling through a team of phone reps: 11.5% Share of one brand's revenue, over a rolling 30 days, from orders placed after a rep reached a customer who was live on the site (IdealData's measure) (before IdealData: from 0%).

- Who it is about: A jewelry wholesaler with six brands, about 20 years in business, selling through a team of phone reps (Wholesale)
- Published: November 10, 2026. Updated: November 10, 2026
- By Igor Krasnykh, IdealData.io
- Read time: 5 min
- Topics: Live shopping assist, Sales signals, Wholesale sales reps, Customer buying rhythm, Upsells, Signal-attributed revenue, Calling customers at the right time, Texting wholesale customers, AI as a tool for sales teams, Jewelry wholesale
- Platforms and tools: HubSpot, Adobe Commerce, Shopify

**The question they couldn't answer:** Would customers welcome a call from their rep while they were on the site, or feel watched?

**Before:** Reps worked from their own calendars and HubSpot follow-ups and had no way of knowing when a customer was on the site.

**With IdealData:** Reps get a cue the moment a customer is shopping, reach them by call or text while they are deciding, and help them finish the order.

**Result:** from 0% → 11.5% Share of one brand's revenue, over a rolling 30 days, from orders placed after a rep reached a customer who was live on the site (IdealData's measure)

## At a glance

- Business: Jewelry wholesaler
- Time in business: About 20 years
- Sales model: Phone and text reps working a set customer base
- IdealData signal: Live Shopping Assist: tells a rep when a customer is on the website
- Also in use: Follow-ups and automatic task reminders
- Platform: Shopify

## Summary

A jewelry wholesaler with two brands wanted its reps to reach customers at the moment they were ready to buy. The sales team doubted that customers would welcome a call while they were on the site.

IdealData enabled a Live Shopping Assist signal. It tells a rep when a customer is on the website. Against all odds, customers were glad to hear from their rep.

In under two months, the share of revenue from orders placed from those signals climbed to 11-12% of overall revenue. These figures are IdealData's measure over a rolling 30 days, taken in a slow time of year.

## The business

The owner started the company to design jewelry. Over the years it grew into six brands. It has a sales teams on the phones and its own warehouse.

The owner takes pride in how the business has grown without wearing people out.

> "Over 20 years we've always looked for ways to push out more in the same amount of time, with the same people, without making them sacrifice. Each year we get faster and more efficient."

What the business uses:

- HubSpot, where reps keep their customer follow-ups and reminders
- IdealData signals, starting with Live Shopping Assist and Re-engagement
- IdealData follow-ups and automatic task reminders

## What they believed

For most of the company's life, selling meant phoning customers on a schedule. The owner put it this way.

> "For 18 years it's been call, call, call, call."

When the Live Shopping Assist signal arrived, the sales manager had doubts, and so did her team. They thought a call in the middle of a visit might seem strange. They worried that customers would feel someone was watching them. The team agreed to switch the signal on and see what happened.

In the first 30 days, reps did not often call at the right moment. Only about 5–7% of new orders came from those calls, but the team started seeing the value.

## What they found

The sales lead began calling customers while they were on the site. With some customers she said openly that she had seen them online. The sales manager described how customers took it.

> "Every single time, they're happy to hear from me."

With other customers she simply called to say hello. Several of them told her they were on the site at that moment.

One customer was placing an order when she called. He then had a question and shared that he was happy that she called. She answered it straight away. During the call she offered to text him something. He had not known he could text her. The owner explained what happened next.

> "She went years with this customer almost never talking to him. For the last week and a half, she has been talking to him two to three times a day, because he can now text her."

The other reps reported the same thing. The rep the owner calls his hard case is the least keen on technology. She came around too.

> "My most skeptical rep has credited a few upsells and a few orders to the signals. She also credits the signals for the quality of the conversations she's having with customers."

## What changed

Reps used to rely on follow-ups set days or weeks ahead. Now IdealData tells them when a customer is on the site or when is the right time to contact them and using what channel of communication. They can reach out while the customer is deciding or when their buying rhythm suggest their next order should come.

The owner changed how he talks to the team about it. He no longer asks for a call. He asks for contact, and a text counts.

> "Now it's not call, it's contact."

He sees the value in reaching people at the moment they want to buy.

> "Being able to tap into the intent to buy, live, you can't put a value on that other than priceless."

## The result

Today, the rolling 30 days near the end of October looks like this. One brand had risen from about 5% to 11.5% of revenue attributed to signals. The other had risen from about 3% to about 12.6%. That month is a slow time of year.

This does not mean the brands earned 11% or 12% more. Some of these customers would have ordered anyway, only later. Some might not have ordered at all. The owner raised this himself (assuming the sales team is perfect in reminder setting and remembering everything).

> "I'm trying to figure out how much of it I would have gotten anyway from the rep doing their own work, because they put follow-ups in their calendar or in HubSpot."

The owner's view is that an earlier order keeps a customer on their usual buying pattern. He expects that to add a few orders a year per customer. That is his expectation, not a measured result yet.

> "If the order comes today because the customer was out of their normal pattern, that could be one extra order for the year, or maybe two, because we keep them on pattern."

He also says his reps' conversations are lively again. Before, calls often ended with a vague promise of an order next week.

## Why it works

The owner made one thing clear to his reps. The signals tell them when to reach out and how. The relationship is still theirs to build.

> "I'm doing everything I can to use AI as a tool, not as the employee."

He says the reps' doubts faded once they believed him. Two habits made the difference:

- Reps read each customer and decide whether to say they saw them online.
- Any contact counts. A text is as good as a call if it starts a two-way conversation.

## What's next

The owner does not want the team to look only at customers who are already buying.

> "I don't want us to focus only on the people who are ordering. We want to make sure we also keep the customers who are lost, or at risk of being lost."

The follow-up and task reminders are running as well, which will help keep sales teams focused on selling vs. data entry.

## If this sounds like your business

Perhaps your reps sell by phone and follow up on a schedule. Perhaps you wonder how many orders arrive late, or never arrive, because nobody reached the customer while they were on the site. This business asked the same question. Its reps now hear about a shopping customer while that customer is still deciding.

## Common questions

**Did customers mind getting a call while they were on the site?**
No. The sales lead told the owner that customers were happy to hear from her every time she said she had seen them on the site. With customers she was less sure about, she called without mentioning it. Several of them were excited to hear from her and mentioned that they were on the site at that moment shopping.

**How much revenue came from the Live Shopping Assist signal?**
By IdealData's measure over a rolling 30 days, the share of revenue from orders placed after a rep reached a customer on the site rose to about 5% int he first 30 days and to 11-12% in the second month. These metrics are for the slow time of year.

**Does that mean the business earned 11.5% more?**
Not exactly. Some of those customers would have ordered anyway, only later. Some might not have ordered at all. The owner raised this himself, because reps also keep follow-ups in their calendars and in HubSpot. He expects that keeping customers on their usual or shorter buying pattern adds a few more orders a year per customer. That is his expectation, not a measured result.

**How did the sales team react?**
The sales manager and her team were doubtful at first. They worried customers would feel watched. Once reps saw how customers responded, they became excited. The owner's most reluctant rep credited a few upsells, a few orders and better conversations to the signals.

**Do reps have to call every time?**
No. The owner tells his reps that the point is contact, not a phone call. A text is fine if it starts a two-way conversation. One customer the sales lead had rarely spoken to for years now texts her two to three times a day.

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Source: https://idealdata.io/case-studies/a-six-brand-jewelry-wholesaler-calls-customers-while-they-shop-and-signal-led-orders-reach-11-percent-of-revenue