How We Work
What This Looks Like in Practice
Three illustrative scenarios showing how Vivacity approaches different business challenges. These represent typical engagements across our target verticals, not specific client projects.
Illustrative client scenarios
DTC E-Commerce Founder
See Tier
A direct-to-consumer brand doing ~$1.5M/year across Shopify, Meta Ads, and Klaviyo.
The Problem
Data scattered across six platforms with no single source of truth. Spending decisions based on gut feel rather than insight. Monthly reporting was manual and took hours.
Our Approach
We connected all data sources, built a unified dashboard surfacing the three metrics that actually predict revenue, and created weekly automated snapshots. The founder could now see exactly where money was being wasted.
The Outcome
"Within 2 weeks, clear visibility into channel performance. Identified $8K/month in unprofitable ad spend that was immediately cut."
Digital Marketing Agency Owner
Understand Tier
A 12-person agency with four staff members managing ~$800K/year across 12 active clients.
The Problem
Client reporting consumed 2 days per month per client. No way to spot underperforming campaigns fast enough. At-risk clients churned before intervention.
Our Approach
We built an automated reporting pipeline that generated weekly intelligence summaries, added predictive flags for campaigns trending below target, and sent alerts automatically. What took 2 days now took 20 minutes.
The Outcome
"Reporting time dropped 90%. Two at-risk clients were flagged before they churned, retaining $45K/year in recurring revenue."
Plumbing & Trade Business Owner
Act Tier
A family-owned plumbing company with 8 technicians doing ~$2M/year in residential and commercial work.
The Problem
Job scheduling was manual and chaotic. No visibility into profitability per job type. Quoting was inconsistent, leading to margin erosion on emergency call-outs.
Our Approach
We built an automated quoting engine powered by historical job data, connected job management to financial data, and created a profitability dashboard by service type. Technicians could now quote accurately in 2 minutes.
The Outcome
"Quote accuracy improved 30%. Eliminated losing propositions on emergency jobs. Owner recovered ~$40K in annual margin."