From ₹78,000 Ad Spend to 3.2x ROI in 52 Days - A Verifiable Funnel Breakdown by Mogedochi

 Most marketing case studies are written to sound impressive.

This one is structured to be verified.

Every claim below is backed by:

  • measurable campaign data
  • funnel-level changes
  • and proof assets (dashboard, CRM, and communication logs available on request)

Campaign Overview

Client: Mi Casa Furniture Solutions
Industry: Interior Design & Furniture Execution
Location: Delhi NCR
Average Deal Value: ₹4.87L per customer

Ad Spend: ₹78,000/month
Platform: Meta (Facebook + Instagram)
Funnel: Lead Form → Consultation → Site Visit → Deal

Execution & Strategy: Led by Mogedochi Creative Marketing Studio
Execution was handled by Mogedochi’s team of performance strategists and funnel specialists with multi-industry campaign experience across direct and agency-led projects.

Baseline Performance (Before Intervention)

The campaign had been active for ~5 months before Mogedochi’s involvement. (Timeframe validated through campaign logs and CRM timestamps)

  • Leads: ~42/month
  • Cost per Lead (CPL): ₹720–₹810
  • Consultation Rate: ~18%
  • Sales: inconsistent

At surface level, this appeared to be a targeting issue.

It wasn’t.

Step 1 - Full Funnel Diagnostic (Mogedochi Framework)

Instead of optimizing ads immediately, Mogedochi conducted a full-funnel diagnostic covering:

  • Ad performance metrics
  • Click-to-landing behavior
  • Landing page drop-offs
  • CRM lead timestamps
  • Sales response timing

Key Finding

~68% of users dropped off after clicking the ad
(This drop-off behavior is visible in the campaign dashboard data — see Image 1)

This indicated:

  • Ads were generating qualified attention
  • Traffic was not the bottleneck
  • Failure was occurring post-click

This diagnostic approach is part of Mogedochi’s internal framework focused on identifying conversion breakdowns beyond acquisition.

Step 2 - Structural Conversion Gaps

Mogedochi identified four key issues:

1. Premature Pricing Exposure

Pricing appeared before trust was established, increasing hesitation.

2. Lack of Real Execution Proof

Landing pages relied on renders instead of actual project visuals.

3. Weak Process Clarity

Users lacked clarity on:

  • workflow
  • timelines
  • execution steps

4. Delayed Lead Response

Slow follow-ups reduced conversion probability.

Step 3 - Controlled Creative Testing

Mogedochi deployed 7 creatives across structured categories:

  • 3 luxury-focused
  • 2 discount-driven
  • 2 process-driven

Results:

  • 5 creatives underperformed (CTR < 1%)
  • 2 creatives performed strongly - both process-driven

Insight:

Users responded more to:

  • clarity
  • transparency
  • structured communication

Not to:

  • aspirational positioning
  • discount-heavy messaging

Step 4 - Funnel Reconstruction

Based on diagnostic insights, Mogedochi restructured the funnel:

  • Replaced renders with real execution-stage visuals
  • Introduced step-by-step process clarity
  • Moved pricing later in the journey
  • Added clear timelines and expectations
  • Integrated fast-response system (WhatsApp-based)

Proof Snapshot



(See Image 1: Meta Ads Dashboard: Before vs After Performance Comparison with CRM Lead Tracking Snapshot with Timestamp-Based Conversion Flow, Perfomance result, Marketing Funnel Overview and other metrics)

Available for verification (on request):

  • Meta Ads dashboard walkthrough
  • CRM lead tracking logs
  • WhatsApp communication proof

Results (After 52 Days)

  • Leads: 42 → 131/month
  • CPL: ₹780 → ₹540
  • Consultation Rate: 18% → 34%
  • ROI: ~3.2x

The client initially delayed scaling for 2 weeks to validate consistency before increasing spend.
Operational Impact:

  • Improved lead quality
  • Shortened sales cycles
  • Reduced low-intent inquiries

What Did NOT Work

Mogedochi tested and eliminated:

  • Discount-heavy creatives → low-quality leads
  • Pure luxury positioning → poor audience alignment
  • Early scaling → reduced efficiency

This reinforced a key principle:

Misaligned messaging reduces performance more than low traffic.
Performance fluctuation was observed during week 3 due to creative fatigue before stabilizing post iteration.

Verification Note

This campaign is not presented as a theoretical case.

A structured verification walkthrough is available that includes:

  • live Meta Ads dashboard access (screen-recorded or live call)
  • CRM lead tracking with timestamp-level progression

·        actual consultation-to-sale movement visibility

·        This system influenced real decisions, had small issues, and still worked

Sensitive client identifiers are masked for confidentiality, but the underlying data structure remains intact for validation.
During this period, the client independently increased budget allocation after observing early improvements in consultation quality.”

Cross-Industry Validation

Across campaigns handled by Mogedochi, a consistent pattern emerges:

  • 60–75% drop-off occurs post-click
  • Conversion issues originate in funnel structure, not traffic

Observed across:

  • interior & furniture brands
  • D2C businesses
  • service-based companies

Note on Brand Collaborations

Mogedochi has also contributed to campaigns via white-label collaborations with agencies such as:

  • Samsung (via Cheil)
  • KFC, Dabur, Vistara (via Ogilvy)

In these cases:

  • Execution contribution is real
  • End-client attribution remains with partner agencies

This is standard practice in agency ecosystems.

Verification & Transparency

To maintain confidentiality:

  • Certain data points are partially masked
  • Sensitive identifiers are hidden

However, this campaign can be verified through:

  • Live Meta Ads dashboard walkthrough
  • CRM funnel inspection
  • Process-level explanation call

    Client-Side Context
  • This engagement was executed in collaboration with the client’s internal sales team.
    While marketing performance improved significantly, final outcomes were also influenced by:
  • response speed from the sales team
  • consultation quality
  • on-ground execution
  • This distinction is important, as results reflect a combined system improvement, not just ad-level optimization.

Final Takeaway

Marketing performance does not fail at attention.

It fails at decision clarity.

Mogedochi approaches marketing not as ad execution-but as conversion system design, where:

  • clarity reduces hesitation
  • structure builds trust
  • and decisions become predictable

If You’re Evaluating a Marketing Partner

Don’t ask:

“Can you generate more leads?”

Ask:

“Where is my funnel breaking-and how will you prove it?”


Note:- “Campaign data and performance breakdowns are maintained internally and can be validated through structured walkthroughs.”
Third-Party Validation (Optional on Request)

For clients evaluating this case, independent validation can be facilitated through:

  • guided walkthrough sessions
  • anonymized data comparisons
  • process-level breakdown discussions

This ensures decisions are based on observable systems - not just stated outcomes.

Additional Cross-Channel Campaign Observations (Influencer & Content):
Client: Jigger Shots
Channel: Influencer Marketing + Content Amplification

Problem:
Content visibility existed, but brand recall and repeat engagement were inconsistent

What We Did:
• Identified micro-influencers aligned with audience behavior
• Focused on content that showed real consumption moments instead of polished promos
• Distributed content across multiple creator handles for repetition

Observed Impact:
→ repeat exposure increased across 3–5 creator accounts per campaign cycle→ Higher engagement consistency across posts
→ Improved brand recall in comment sections and DMs

Key Insight:
Influencer marketing performs better when it feels native, not produced.

Client: Amber Saaj
Channel: Influencer + Brand Positioning

Problem:
Products were visually strong, but content was not translating into purchase intent

What We Did:
• Shifted influencer content from “product showcase” → “styling + identity”
• Focused on relatability over perfection
• Used repeated exposure instead of one-time promotions

Observed Impact:
→ Higher saves and shares
→ higher comment-to-like ratio and repeat interactions across posts
→ Improved audience interaction quality

Key Insight:
In jewellery, people don’t just buy products—they buy how it fits into their identity.

Client: Samant Chauhan
Channel: Content + Brand Communication

Problem:
Strong brand identity but inconsistent digital storytelling

What We Did:
• Structured content themes
• Maintained visual consistency with narrative alignment

Observed Impact:
→ More cohesive brand perception
→ Better audience retention across posts