SourceKnowledge — 13.6x ROI
SourceKnowledge went from lost in the “better ROAS” noise to 70 booked meetings and an inbox so full of leads that follow-up capacity became the bottleneck — not lead generation. Vertical-specific platform comparisons against Meta and Google did the heavy lifting: fashion buyers saw fashion ROAS data, DTC consumables buyers saw consumables data. Generic “better performance” claims got replaced with numbers media buyers could evaluate against their own dashboards.Total Spend
$14,400
Revenue Generated
$210,000
ROI
13.6x
Meetings Booked
70
Cost Per Meeting
$206
New MRR Added
$26,250
| Detail | Info |
|---|---|
| Industry | Advertising Platform |
| Company Size | 50-200 employees |
| Services Used | Email + AI Calling + LinkedIn |
| Duration | 8 months |
The Challenge
Retail marketing leaders are bombarded with “better ROAS” promises from every ad platform. SourceKnowledge needed proof specific enough to make a media buyer stop scrolling — not generic benchmarks, but vertical-specific ROAS comparisons showing exactly where SourceKnowledge outperformed Meta and Google in specific retail categories. Generic ad platform positioning without vertical-specific performance comparisons against the incumbent platforms prospects already used was getting buried in ad tech noise. Before Outbound System:- Generic “better ROAS” positioning lost in ad tech noise
- No vertical-specific performance comparisons vs. Meta/Google
- No systematic outbound to retail media buyers
- Single-channel outreach missing decision-makers
- 70 meetings booked in 8 months
- 31 qualified responses per month on average
- Vertical-specific ROAS data displacing incumbent platforms
- Follow-up capacity became the bottleneck, not lead gen
The Solution
Prospect lists targeted retail brands with aggressive paid acquisition budgets actively scaling spend on Meta and Google. Messaging led with vertical-specific ROAS figures showing where SourceKnowledge outperformed incumbents in fashion, home goods, and DTC consumables — numbers media buyers could evaluate against their own performance dashboards.Cold Email
Sequences with platform comparison data: not generic benchmarks but vertical-specific ROAS figures against Meta and Google. Fashion brands saw fashion data. DTC consumables brands saw consumables data. Each email gave media buyers something to check against their own numbers.LinkedIn Outreach
Targeted media buyers and heads of growth with personalized connection requests referencing the prospect’s specific ad activity and vertical, creating familiarity before the platform comparison email arrived.AI Cold Calling
Direct channel for high-spend retail brands, using brief scripts leading with the specific ROAS delta in the prospect’s retail vertical. A 60-second call about category-specific performance converted interest into meetings.Beyond the Meetings
- Market Intelligence: Campaign data mapped which retail verticals had the highest dissatisfaction with incumbent platforms, giving SourceKnowledge competitive intelligence for product positioning.
- Pipeline Insurance: Multi-channel meant even if an email got buried, LinkedIn kept SourceKnowledge visible in the prospect’s feed, preventing lost opportunities.
- ICP Refinement: DTC consumables brands showed the highest response to platform comparison data, while fashion brands responded more to creative capability messaging, enabling per-vertical optimization.
- Capacity-Driven Growth: 31 replies/month generated a high-quality problem: the bigger challenge became follow-up capacity, not lead generation.
Campaign Timeline
Weeks 1-2: Competitive Analysis
Retail brand targeting by paid acquisition budget. Vertical-specific ROAS comparison data compiled against Meta and Google benchmarks for fashion, home goods, and DTC consumables.
Weeks 3-4: Campaign Launch
Email, LinkedIn, and calling launched simultaneously. First responses within 6 days. Platform comparison data resonating immediately with media buyers.
Months 2-4: Sustained Response Rate
31 replies/month pace established and sustained. Vertical messaging optimized based on response data by category. DTC consumables flagged as highest-response segment.
Full Metrics Breakdown
| Metric | Result |
|---|---|
| Total Spend with Outbound System | $14,400 |
| Campaign Duration | 8 months |
| Qualified Leads Generated | 248 |
| Cost Per Qualified Lead | $58 |
| Meetings / Calls Booked | 70 |
| Cost Per Booked Meeting | $206 |
| Show Up Rate | 77% |
| Revenue Generated (cash collected) | $210,000 |
| New MRR Added | $26,250 |
| ROAS (on cash collected) | 14.58x |
| Total ROI | 13.6x |
“I’ve got an inbox FULL of leads. My challenge is getting back to all of these leads.” — Naema Boisson, Manager, Strategic Partnerships at SourceKnowledge
Get Results Like SourceKnowledge
SourceKnowledge proved that platform comparison data in specific retail categories cuts through ad tech noise where generic ROAS claims fail. If you sell into e-commerce and retail buyers, vertical-specific proof against incumbent platforms is the fastest way to earn a media buyer’s attention. See how our cold email service handles enterprise deliverability and our multi-channel outbound creates consistent 31+ response/month pipelines.Book a Strategy Call
See how vertical-specific platform comparisons and multi-channel outbound would work for your ad tech pipeline.