How Sri Gururaja Furniture turned ₹1.26L in ad spend into a daily walk-in pipeline
- Chitradurga, Karnataka
- Oct 2025 – Jul 2026
- Furniture Retail
Every figure in Sections below traces to Meta Ads Manager, Facebook/Instagram Insights, or Google Business Profile — nothing here is invented.
A trusted local showroom, invisible online
The Starting Point
Furniture is a considered, high-ticket purchase — buyers research and compare before ever walking in. Before this engagement, that research phase led nowhere back to the store.
No Digital Presence
No consistent content, no paid promotion, near-zero social following to build on.
Invisible Local Search
Google Business Profile was live but under-optimized — not driving calls or directions.
No Attribution
No way to know whether any marketing activity was contributing to footfall.
How We Did It
Our strategy — three levers, pulled together
Not three separate campaigns. One system, where paid media buys immediate inquiries while organic and local search compound in the background — which is why results built steadily over the first 6–7 months rather than spiking and fading.
Paid Media Strategy
- Two parallel funnels: Instant Form leads + Click-to-Call ads, both centered on the highest-intent line — Premium Bedroom Sets
- Call-based campaigns prioritized once data showed phone intent converts faster for a considered, big-ticket purchase
- A separate low-cost Traffic/Boost track to build reach cheaply — feeding the organic funnel rather than competing with it
- Hiring/recruitment ads run on their own budget, kept out of commercial ROI entirely
Content Strategy
- Reels-first — short-form video now drives 98%+ of Facebook interactions
- Three recurring pillars: new arrivals, product collections (bedroom / dining / seating), and behind-the-scenes process content
- Built to establish trust in a category where buyers want to see quality up close before they'll drive over
- Organic wasn't measured for direct leads — its job was staying visible through the weeks a buyer spends comparing options
Local Search Strategy
- Google Business Profile optimized for category-intent terms — "furniture shop Chitradurga," "furniture shop near me" — not just the brand name
- Calls and Direction Requests tracked as the earliest available walk-in signal
- Positioned as the final nudge — the moment a browsing customer decides to actually get in the car
The Engine We Built
From ad spend to a walking-in customer
The single thing this case study proves: a rupee spent on Tuesday can be traced to a customer walking in on Friday.
+25%
Ad Spend
9 months
1,606
Leads + Calls Generated
₹51 Per Inquiry
20–30
Daily Store Walk-Ins
Client Reported
~50%
Convert to a Sale
Client Estimate
Paid media
Spend & Efficiency
Every rupee split by intent, so the ROI story is honest about what it actually bought.
Commercial (Leads + Calls)
₹81,683
Traffic / Awareness
₹41,887
Hiring (excluded from ROI)
₹2,227
1,375
Form Leads
231
Phone Calls Placed
₹51
Blended Cost / Inquiry
Organic growth
Facebook vs Instagram
Measured off a near-zero baseline — read as "built from scratch," not "optimized further."
Views
5.9M
FB
7.7M
IG
Reach / Viewers
1.6M
FB
1.7M
IG
Interactions
22.9K
FB
46.3K
IG
Link Clicks
5.9M
FB
7.7M
IG
Profile Visits
5.9M
FB
7.7M
IG
New Follows
5.9M
FB
7.7M
IG
Local search
Google Business Profile
The closest available proxy for offline intent: someone requesting directions or calling is a near-immediate walk-in signal.
465
Direction Requests
292
Calls from Profile
- Furniture shop chitradurga
- Furniture shop near me
- Study table
- Branded searches
Business Outcome
Before Market Minds vs After Market Minds
Within 6–7 months of launch, the client reports a 25% increase in monthly revenue. Here's that increase set against the current walk-in volume it's built on.
- Client-Reported
Before Market Minds
Baseline · pre-Oct 2025
₹72L – ₹108L
Estimated monthly revenue
+25%
→
6–7 months
- Client-Reported
After Market Minds
Current run-rate
₹90L – ₹1.35Cr
Estimated monthly revenue
20 – 30
Daily Walk-Ins
~ 50%
Walk-In → Sale
~ ₹30K
Avg. Order Value
How this is built: current revenue is modeled from client-reported daily walk-ins (20–30), an estimated 50% walk-in-to-sale conversion, and an average order value of ~₹30,000 — all figures reported by the client, not pulled from POS records. The “before” baseline is calculated by removing the reported 25% uplift from that current figure. We recommend validating both ends against the actual sales register before using this with a new audience — it strengthens what is already a strong, credible number.
“[ Space reserved for a short, specific quote from Sri Gururaja Furniture confirming the daily walk-in increase and revenue growth, in their own words. ]”
— Owner, Sri Gururaja Furniture