Case Studies — StarForges
Documented Outcomes

The Work Behind The Numbers.

Four detailed case studies showing exactly what we did, why we did it, and what the results were. Real challenges, real solutions, real outcomes — nothing abbreviated.

Case Studies

Four Engagements. Full Detail.

01
E-commerce — Home Goods
How We Grew Google Ads ROAS from 1.8x to 3.9x in 90 Days
3.9x
ROAS at month 3
−38%
Cost per acquisition
−52%
Wasted spend eliminated
The Challenge
A home goods e-commerce brand came to us with Google Shopping campaigns that had been running for 8 months but were still delivering below a 2x ROAS. The account had a single broad campaign structure, no negative keyword list, and used Maximize Conversions bidding regardless of product margin.
The Solution

We began with a full account audit before making any changes. The audit revealed three key issues: products with zero margin were receiving the same budget as high-margin items, search terms were triggering on irrelevant queries costing over 40% of the budget, and the bidding strategy had no conversion data to optimize against because tracking was misconfigured.

We rebuilt the Shopping campaign structure into four tiers based on product margin, built a 380-term negative keyword list from 8 months of search term data, fixed conversion tracking to correctly attribute both direct purchases and post-view conversions, and implemented Target ROAS bidding starting conservatively at 2.2x and raising the target fortnightly as the algorithm accumulated data.

Results
  • ROAS improved from 1.8x to 3.9x within 90 days of the restructure
  • Cost per acquisition reduced by 38% while maintaining the same total sales volume
  • Wasted spend on irrelevant search terms cut by 52% in the first month
  • Month 6 ROAS reached 4.2x as Smart Bidding continued to optimize with cleaner data
Google ShoppingSmart BiddingNegative KeywordsConversion TrackingROAS Optimization
02
Digital Agency — Lead Generation
How Automation Cut Lead Response Time from 6 Hours to 3 Minutes
3 min
Lead response time
22 hrs
Saved every week
34%
More calls booked
The Challenge
A digital marketing agency was receiving between 15 and 40 inbound leads per week across three different form sources. Every lead was manually processed by a team member — checked, entered into the CRM, emailed, and followed up by phone. During busy periods response times stretched to 4 to 6 hours, and leads were frequently going cold or choosing a competitor who responded faster.
The Solution

We started by mapping every manual step in the current lead process, which revealed six distinct tasks being performed manually for every single lead. We then designed an automation architecture to handle all six in sequence.

The workflow triggers immediately on form submission from any of the three sources. Lead data is enriched with company information, the contact is created in the CRM with correct tags and pipeline stage, a personalized acknowledgment email is sent within 30 seconds, the relevant team member receives a Slack notification with full lead context, and if the lead meets scoring criteria (company size, service interest, budget signal), a booking link is automatically included in the second follow-up email sent 2 hours later.

Results
  • Lead response time reduced from 4 to 6 hours down to under 3 minutes
  • 22 hours of manual work per week eliminated across the team
  • Lead-to-discovery-call conversion rate improved by 34% due to faster response
  • Six months post-deployment, the system has processed over 800 leads without a single failure
Workflow AutomationCRM IntegrationLead EnrichmentSlack NotificationsEmail Sequences
03
E-commerce — Fashion
How a Shopify Rebuild Turned 0.8% CVR Into 2.7% Without Touching Ad Spend
2.7%
Conversion rate
1.9s
Page load time
2.4x
Revenue per visitor
The Challenge
A fashion e-commerce brand was running profitable Meta Ads campaigns with strong creative performance — high CTR, low CPM — but the Shopify store was converting at only 0.8%. The problem was not the ads. We audited the store and found a generic theme loaded with 14 apps, a 6.2-second mobile load time, a product page layout that buried the CTA below the fold on mobile, and a checkout process with 4 steps where 2 were unnecessary.
The Solution

We began with a full CRO audit measuring load time, scroll depth, click heatmaps on the product page, and checkout funnel drop-off rates by step. The data showed 67% of users were abandoning at the shipping information step — a form that asked for 9 fields when 4 were genuinely required.

We rebuilt the store on a custom lightweight theme with no page builder dependencies, removed 14 apps and replaced two with leaner alternatives, implemented lazy loading for images, redesigned the product page to show CTA, price, size selection, and review count above the fold on mobile, and streamlined checkout to 4 steps with autofill enabled.

Results
  • Conversion rate improved from 0.8% to 2.7% within 30 days of relaunch
  • Mobile page load time reduced from 6.2 seconds to 1.9 seconds
  • Revenue per visitor increased 2.4x with no change to ad spend or traffic volume
  • PageSpeed Insights score improved from 31 to 89 on mobile
ShopifyCustom ThemeCore Web VitalsMobile CROCheckout OptimizationApp Cleanup
04
B2B — Recruitment Agency
How a CRM Implementation Grew Deals Closed by 3.2x in 90 Days
3.2x
More deals closed
18%
Close rate (was 4%)
0
Missed follow-ups
The Challenge
A recruitment agency with a six-person team was managing their entire client and candidate pipeline in a shared Google Sheet. Deals were being lost because team members did not know which stage a prospect was at. Follow-up was inconsistent and entirely dependent on individual memory. There was no data on which lead sources converted to revenue, which meant marketing spend was being allocated with no evidence of what was actually working.
The Solution

We started by spending two days mapping the actual recruitment sales process — from initial client enquiry through job brief, candidate submission, interview, offer, and placement. This revealed 7 distinct pipeline stages and 4 automated follow-up opportunities that were currently being done manually.

We implemented HubSpot CRM with a custom pipeline matching the 7 stages. Deal creation was automated from incoming email enquiries and web form submissions using AI-assisted parsing. Follow-up sequences were built for each stage transition — when a deal moved to Interview Scheduled, an automatic email confirmation went to the client and a task was created for the account manager. We connected the calendar integration so all meetings logged automatically without manual entry. Revenue attribution reporting was configured to show close rate and average deal value by lead source.

Results
  • Deals closed increased 3.2x within 90 days compared to the same period the previous year
  • Close rate improved from 4% to 18% due to consistent follow-up and faster response
  • Zero missed follow-ups reported since the automated sequences launched
  • Management now receives automated weekly pipeline reports — no manual preparation required
HubSpot CRMPipeline AutomationEmail SequencesCalendar IntegrationRevenue Attribution
Across All Engagements

Consistent Results Across Every Service

These are not cherry-picked outliers. They represent the consistent outcomes that come from applying the same process on every single engagement.

📈
4.2x
Peak ROAS delivered on paid ad accounts
3 min
Lead response time after automation deployment
🛒
2.7%
Conversion rate after Shopify rebuild (was 0.8%)
🤝
3.2x
More deals closed after CRM implementation
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