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An Australian B2B business was producing a high volume of quotes but had no system to track them. No follow-up process. No pipeline visibility. Zero percent of quotes received any follow-up at all. Everything was reactive. Revenue was being left on the table simply because no one chased outstanding quotes.
We built an automated quote capture and follow-up system using their existing tools. Within three months, quote conversion jumped from 47% to over 65%. Same lead volume. Same team. Just systematic follow-up.
2.5 days → under 24 hours average resolution time
Industry: B2B sales with secondary retail component
Sales Model: High-volume quoting
Systems: Shopify (quoting), Gmail (communication)
The business was generating strong demand and producing a high volume of quotes. But there was no reliable system to track quote status, follow up on outstanding quotes, or analyse performance. Everything was handled reactively. If a customer did not respond, the quote simply disappeared.
The client faced several compounding issues that were costing them revenue every day.
There was no way to see how many quotes were outstanding, which ones had converted, or what the overall pipeline looked like. The owner and sales team were flying blind. They could not answer basic questions about quote volume, status, or outcomes.
Zero percent of quotes received any follow-up. None. Quotes went out and were never mentioned again unless the customer came back on their own. Clients who were busy, undecided, or needed clarification simply fell away. There was no system to re-engage them.
Sales activity was 100% reactive. The team responded when customers reached out. They did not proactively chase opportunities or surface objections. This reactive approach meant slower resolution of pricing questions and product confusion, and weaker client relationships.
Although the initial close rate of 43-47% was not inherently poor, a significant amount of potential revenue was being lost simply because no one followed up. The size of the lost opportunity was unquantified because there was no data, but it was clearly substantial.
Before: The Situation
|
Metric |
Before |
|
Quote close rate |
~47% |
|
Follow-up rate |
0% |
|
Quote tracking system |
Non-existent |
|
Pipeline visibility |
None |
The solution was designed to be additive, not disruptive. No core systems were replaced. We built on top of existing tools (Shopify and Gmail) to create visibility and automation without changing how the team worked day-to-day.
We started by mapping exactly how quotes moved through the business.
We built a database to act as the single source of truth for all quote activity.
This immediately gave the owner and team full pipeline visibility for the first time.
We connected quote creation directly with the tracking system.
The core of the system: automatic follow-up that required minimal effort from the sales team.
Human in the loop. Automation did the work; the team kept control.
The impact was visible within weeks and fully realised within three months.
|
Metric |
Before |
After |
|
Quote close rate |
~47% |
65%+ |
|
Additional conversion from follow-up |
0% |
+27% |
|
Follow-up rate |
0% |
100% |
|
Pipeline visibility |
None |
Full real-time view |
|
Sales approach |
100% reactive |
Proactive |
Beyond the conversion lift, the team experienced meaningful operational improvements.
Keep humans in the loop. In this system, AI drafted follow-up emails with full quote context, but the sales team reviewed every message before sending. Automation handles the timing and preparation; humans handle the relationship. Draft, review, send. That sequence maintains personalisation while ensuring nothing falls through the cracks.
Seven days works well for most B2B contexts. It gives the customer time to review and make internal decisions without feeling pressured, but does not let the quote go cold. Matching the follow-up time to the original enquiry time can also improve response rates, people are often available at similar times each week.
Yes. Most businesses already have the tools they need: email, quoting system, some form of database or spreadsheet capability. The issue is that these tools do not talk to each other. With API connections and simple automation, you can build tracking and follow-up on top of existing systems without buying anything new.
Results vary, but 20-30% improvement is achievable when starting from zero follow-up. In this case, we saw +27% additional conversion driven purely by follow-up. The maths is simple: some percentage of people who do not respond immediately will respond to a well-timed follow-up. If you are not following up at all, you are leaving that revenue on the table.
At minimum: quote request timestamp, quote creation timestamp, quote value, products requested, client details, and conversion status. More advanced tracking includes follow-up dates, number of interactions, reasons for lost quotes, and time-to-conversion. This data lets you see pipeline health, identify bottlenecks, and measure team performance.
Welcome to WordPress. This is your first post. Edit or delete it, then start writing!