Case Study · eCommerce + B2B

Leverify LLC

Scaling eCommerce and data-intelligence brands through multi-channel paid media, matching each channel to a very different business objective.

Google ShoppingPMaxMeta Advantage+TikTokPinterestLinkedInUS MarketJan - Aug 2024
The Results

$20K invested. $80K generated.

$80K
Revenue generated
$20K
Ad spend
4x
ROAS
3
Brands / products
5+
Paid channels
The Challenge

One account. Three very different growth objectives.

Leverify's portfolio included multiple digital businesses with very different acquisition models.
Zomonics

E-commerce platform

Objective: Drive purchases and revenue.

Perfect Stock

E-commerce platform

Objective: Drive product demand and sales.

Veritas Analytica

Data analytics & intelligence

Objective: Build B2B awareness and engagement.

Each product needed a different audience, message, channel, campaign objective and measurement framework.

The Strategy

Match the channel to the business objective

Rather than forcing every brand into the same structure, the strategy split by the role each product played in the portfolio.
eCommerce

Zomonics + Perfect Stock

Google Shopping · PMax · Meta Advantage+ · TikTok · Pinterest
→ Purchases + Revenue
Data Intelligence

Veritas Analytica

LinkedIn
→ Awareness · Engagement · B2B visibility
The Channel Playbook

Each platform, a distinct job

Demand capture, demand creation, discovery, and B2B awareness, each channel served a different part of the journey.
Google Shopping
Demand capture
Product visibilitySearch intentPurchase efficiencyBudget allocation
Performance Max
Automated Google layer
Extra inventoryCross-channelOutcome-based
Meta Advantage+
Demand creation
Automated paid socialProduct discovery
TikTok
Discovery-first
Content-driven reachAudience testing
Pinterest
Visual discovery
Inspiration-ledVisual browsing
LinkedIn
B2B awareness (Veritas)
Professional audiencesPositioningEngagement
Veritas Analytica

Selling attention before selling the product

Veritas Analytica was a data-intelligence platform, so the immediate goal wasn't an online purchase. LinkedIn was used for awareness, engagement and B2B visibility.
For an eCommerce product, the purchase can happen immediately. For a B2B data-intelligence platform, awareness and engagement are important steps before the commercial conversation.
Budget Allocation

Diversifying the acquisition mix

The budget was weighted toward the channels most directly connected to eCommerce demand, while still funding discovery and B2B awareness.
Google Shopping
55%
Meta / Advantage+
30%
TikTok
10%
LinkedIn
5%
The Performance

$20K in. $80K out. 4x ROAS.

$20K
Ad spend
→
$80K
Revenue
→
4x
ROAS

Across Zomonics, Perfect Stock and Veritas Analytica, paid acquisition stayed focused on measurable commercial outcomes.

Multi-Brand Strategy

Different businesses. Different funnels.

One portfolio, multiple acquisition models.
BrandBusiness ModelPrimary ObjectiveCore Channels
ZomonicsE-commercePurchases / RevenueGoogle, PMax, Meta, TikTok, Pinterest
Perfect StockE-commercePurchases / RevenueGoogle, PMax, Meta, TikTok, Pinterest
Veritas AnalyticaData Analytics / IntelligenceAwareness / EngagementLinkedIn
The Full-Funnel Architecture

Combining demand capture, discovery and awareness

The channels served different stages of the journey rather than competing for the same job.
01
Google, Intent

People already searching for products.

↓
02
Meta, Discovery

People discovering products through social content and advertising.

↓
03
TikTok, Discovery + Engagement

New audiences encountering the products.

↓
04
Pinterest, Visual Discovery

People browsing and discovering products.

↓
05
LinkedIn, B2B Awareness

Professionals discovering a data-intelligence brand.

What I Worked On

End to end, across every channel

Strategy
  • Multi-brand acquisition strategy
  • Channel selection
  • Budget allocation
  • Campaign objectives
  • Audience strategy
Google
  • Shopping
  • Performance Max
  • Product-based acquisition
  • Budget optimization
Meta
  • Advantage+
  • Product acquisition
  • Paid-social optimization
TikTok
  • Product discovery
  • Paid-social campaigns
  • Audience testing
Pinterest
  • Product discovery
  • eCommerce campaigns
LinkedIn
  • B2B awareness
  • Engagement campaigns
  • Professional audience targeting
What This Demonstrates

Six things this engagement proves

Multi-channel execution

Not dependent on a single advertising platform.

Multi-brand management

Adapted campaign strategy to different businesses under one portfolio.

eCommerce performance

Acquisition across Google Shopping, PMax, Meta, TikTok and Pinterest.

B2B marketing

Used LinkedIn differently for a data-intelligence platform where awareness was the goal.

Budget allocation

Managed a diversified mix while weighting the strongest direct-response channels.

Commercial focus

Kept the eCommerce strategy tied to measurable outcomes, not vanity metrics.

The Key Lesson

The best media mix depends on what you're selling.

Zomonics and Perfect Stock needed Traffic → Product Discovery → Purchase. Veritas Analytica needed Professional Audience → Awareness → Engagement → Consideration.

The platform wasn't the strategy. The business objective was the strategy, and it shaped how I allocated budget, selected channels and measured performance.
Final Outcome

Performance, diversification and multi-brand strategy

$80K
Revenue
$20K
Ad spend
4x
ROAS
3
Brands
5+
Paid channels

Need a multi-channel acquisition strategy built around your actual business model?

I can help you identify which channels should capture demand, create demand and build awareness, then connect them into a measurable paid-media system.

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