> ## Documentation Index
> Fetch the complete documentation index at: https://learn.outboundsystem.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Convert
> Convert generated 5-7 qualified leads per week with a 70% closing rate — the highest of any Outbound System campaign. $5,400 spend generated $315,000 in revenue through category-matched DTC case studies at $64 per meeting.
# Convert — 5,733% ROI
Convert spent \$5,400 over 3 months and generated \$315,000 in revenue — a 5,733% ROI and the third-highest return across all 44 case studies. The 70% close rate on generated leads is the highest of any campaign, driven by category-matched case studies: skincare brands heard skincare wins, supplements brands heard supplements wins. 84 meetings at \$64 each.
**\$315,000 in revenue. 70% close rate. \$64 per meeting.** The highest close rate and lowest cost per meeting of any campaign in the portfolio.
## The Challenge
DTC brands evaluate advertising agencies on one metric: can you acquire customers profitably at scale? Convert had the proof but needed precision targeting to get it in front of the right founders.
DTC founders are ROI-obsessed and category-specific. Generic advertising claims fail. Every prospect needed to see proof from their exact product category to take the meeting.
**Before Outbound System:**
* Generic advertising claims failing with ROI-obsessed DTC founders
* No category-matched case studies in outreach
* No systematic targeting based on growth signals
* Broad DTC outreach without vertical specificity
**After Outbound System:**
* 5-7 qualified leads per week consistently
* 70% closing rate on generated leads
* Category-matched proof driving unprecedented conversion
* \$64 cost per booked meeting across the campaign
## The Solution
Six-source verified prospect lists targeted scaling DTC brands by ad spend growth, new product launches, and marketing hiring. Every sequence included a category-matched case study.
### Cold Email
Primary volume channel through enterprise infrastructure. Built entirely around specific ROI metrics: CAC, ROAS benchmarks, and revenue growth from the prospect's exact product category.
### LinkedIn Outreach
Engaged DTC founders with content about paid acquisition strategies, building category expertise credibility before the direct ask.
### AI Cold Calling
Supplemented email for high-value prospects, using brief scripts leading with the most relevant performance metric for the prospect's product category.
### Beyond the Meetings
* **Market Intelligence:** Category-matching revealed supplements and skincare had the highest close rates, providing a prioritized expansion roadmap.
* **ICP Refinement:** DTC brands in the $1M-$10M revenue range with increasing ad spend showed the highest conversion.
* **Extraordinary Close Rate:** 70% validated that category-matched proof is the single most powerful driver of agency sales in DTC.
### How It Unfolded
| Timeline | What Happened |
| -------- | --------------------------------------------------------------------------------------------------- |
| Week 1-2 | DTC brand targeting by growth signals and product category. Category-matched case studies compiled. |
| Week 3-4 | Campaign launch. 5-7 leads/week from the start. |
| Month 2 | AI calling added. LinkedIn building credibility. 70% close rate validated. |
| Month 3 | 84 total meetings. 5-7 leads/week sustained. |
## Full Metrics
| Metric | Result |
| ---------------------------------- | ---------- |
| Total Spend with Outbound System | \$5,400 |
| Campaign Duration | 3 months |
| Qualified Leads Generated | 91 |
| Cost Per Qualified Lead | \$59 |
| Meetings / Calls Booked | 84 |
| Cost Per Booked Meeting | \$64 |
| Show Up Rate | 86% |
| Revenue Generated (cash collected) | \$315,000 |
| New MRR Added | \$105,000 |
| ROAS (on cash collected) | 58.33x |
| **Total ROI** | **5,733%** |
*All revenue figures reflect cash collected, not contract value.*
> "We're getting 5 to 7 leads per week with a 70% closing rate. The quality is insane, man."
>
> — **Don Benreguia**, Founder & CEO at Convert
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Category-matched case studies. Every DTC founder received proof from their exact product category — skincare brands saw skincare ROAS data, supplements brands saw supplements acquisition metrics. Prospects arrived pre-sold on the value before the first call.
Precise targeting (DTC brands with active ad spend growth), category-matched messaging (higher reply rates reduce cost per response), and enterprise infrastructure (99% inbox placement means no wasted sends). When all three align, cost per meeting drops dramatically.
Supplements and skincare led in close rates. The key wasn't the category — it was the precision of matching. A food brand seeing food-specific ROAS data responded just as strongly as skincare seeing skincare data.
Sustained across the full 3-month campaign, producing 84 total meetings. Consistency came from continuous list refreshment through growth signal monitoring and A/B testing of messaging variants within each category.
$315,000 in cash collected divided by $5,400 total spend equals 58.33x return, or 5,733% ROI. Third-highest across all 44 case studies, driven by the extraordinary 70% close rate.