An Austin creative agency recovered $8,700/mo and cut follow-up to 1.5 hours.

Agency / Austin, TX / Growth

An Austin creative agency

Quote Follow-Up workflow. Client context: Agency, Austin, TX, Growth. Payback: 5 weeks.

Before

14 ghosted proposals/mo
12h chasing/week
23% close rate

After

3 ghosted/mo
1.5h follow-up/week
41% close rate

ghosted/mo

1.5h

follow-up/week

41%

close rate

Fridays used to be chase-the-silence day. Now the system does the nudging and I just close the ones that respond.An Austin creative agency · Agency, Austin, TX, Growth

Why this leak mattered

Agency, Austin, TX, Growth had a measurable quote follow-up problem. Fridays used to be chase-the-silence day. Now the system does the nudging and I just close the ones that respond.

Baseline signals included 14 ghosted proposals/mo, 12h chasing/week, 23% close rate.

The workflow stayed narrow: capture the leak, qualify the next step, and push the useful handoff back to the business. That keeps the case measurable instead of turning it into a broad transformation project.

For this page, the related workflow is Quote Follow-Up.

Do not copy this workflow blindly if the team cannot name the leak, does not know the current baseline, or cannot define the rules for a clean handoff. In that case, start with a short audit before automation.

How to read this case

The case evidence is kept in crawlable HTML: client context, baseline, result, workflow, related service, and update date. Treat the numbers as a scoped operating snapshot for this workflow, not as a universal guarantee.

Source: SkoreFlow service and case evidence.

Client context: Agency, Austin, TX, Growth.

Baseline: Baseline signals included 14 ghosted proposals/mo, 12h chasing/week, 23% close rate.

Result: After-state signals included 3 ghosted/mo, 1.5h follow-up/week, 41% close rate.

Primary workflow: Quote Follow-Up.

Evidence limit: This is a scoped operating snapshot for the listed workflow, not a universal guarantee.

Frequently asked questions

What was the main result in this Quote Follow-Up case?

An Austin creative agency recovered $8,700/mo and cut follow-up to 1.5 hours. is summarized by 3 ghosted/mo. Fridays used to be chase-the-silence day. Now the system does the nudging and I just close the ones that respond.

What evidence is shown on the page?

Baseline signals included 14 ghosted proposals/mo, 12h chasing/week, 23% close rate. After-state signals included 3 ghosted/mo, 1.5h follow-up/week, 41% close rate. The table keeps the before and after signals in HTML so the result can be extracted without reading an image.

Who is this workflow most relevant for?

This pattern is most relevant for operators with a similar quote follow-up leak, a measurable baseline, and a handoff that can be described with clear rules.

When is this not the right first workflow?

It is not the right first move when the business cannot define the leak, cannot measure the baseline, or needs a full process rebuild before a narrow recovery workflow can be tested.

Where should the reader go next?

The related service page explains the workflow behind the case: the Quote Follow-Up service at https://skoreflow.com/quote-followup/.

An Austin creative agency recovered $8,700/mo and cut follow-up to 1.5 hours.