How Dizispark Helped an Old Bike Buyer Get 892 Enquiries at Just ₹12.18 Each

old bike buyer meta ads case study

Client: (Client Name Confidential)
Agency: Dizispark Technology
Platform: Meta Ads: Facebook & Instagram Messaging Campaign
Campaign Goal: Get bike owners in [Target Cities] to start a conversation about selling their old bike
Campaign Period: 1 Aug to 9 Oct, 2026
Total Spend: ₹10,860.28
Industry: Automobile: Old Bike Buying

About the Client

The client is an old bike buying business based. They buy used two-wheelers directly from owners, so their business depends on one thing a steady supply of people who are ready to sell their bike. Without that supply, there is nothing to buy, inspect or resell. Most old bike buyers rely on word of mouth, local listings or classified sites, where they compete with many other buyers for the same sellers. The client wanted a more dependable way to reach bike owners who were actively thinking of selling, and to start a conversation with them quickly.

The Problem

Selling a bike is a decision people think about. Owners compare offers, worry about getting a fair price and are cautious about who they deal with. The ad had to build enough trust and interest in a few seconds to make someone stop scrolling and message a buyer they had never heard of.

The client also needed volume at a sensible cost. In this business, a seller enquiry is only useful if it is cheap enough to leave room for a profit on the bike. Expensive enquiries, or enquiries from people who never reply, would make the whole model unworkable. The campaign needed to bring in a large number of real conversations on a controlled daily budget.

What We Wanted to Do ?

The goal was to get bike owners in the client’s service area to message the client directly about selling, instead of scrolling past another vehicle ad. That meant being disciplined about the audience and the offer from day one.

We also wanted to keep the cost per enquiry low enough to scale, and to build a campaign that could run for weeks while staying efficient. The objective was to give the client a steady, repeatable flow of seller conversations that the team could follow up on the same day.

What Dizispark Did ?

Step 1: Built a Focused Buying Campaign

We set up one dedicated campaign with a single objective: start conversations with people who want to sell their bike. Instead of splitting the budget across many offers, we put it behind one clear message that the right audience could understand instantly.

Step 2: Targeted Bike Owners in the Right Areas

We used precise location and audience targeting so the budget reached people in [Target Cities] who were likely to own a bike and could realistically sell to the client, rather than a broad, generic audience.

Step 3: Created a Clear, Trust-Building Ad Creative

The creative was [a short video / image ads] built around the buyer’s promise: a quick, fair offer for your old bike. It made the next step obvious and gave bike owners a reason to trust the client enough to reach out.

Step 4: Used Messaging to Cut Friction

Instead of sending people to a website or a long form, the ad opened a direct message conversation. A bike owner could send their bike details in a single tap, and the client’s team could reply while the interest was still fresh.

Step 5: Tracked and Optimised Daily

We monitored impressions, cost per conversation and daily spend throughout the campaign and made changes where results slipped. This close tracking is what kept the cost per enquiry at just ₹12.18 across a large volume of conversations.

The Results

Here is what the campaign delivered:

892Enquiries GeneratedReal message conversations started with bike owners₹12.18Cost Per EnquiryCost per messaging conversation started
385,728Total ImpressionsTimes the ad was shown on Facebook and Instagram₹10,860.28Total SpendAcross the full campaign
₹200Daily BudgetA modest, controlled daily budget1 in 432Impression to EnquiryAbout one conversation for every 432 impressions

Together, these numbers tell a clear story: for a total spend of ₹10,860.28, the campaign was shown 385,728 times and started 892 direct conversations with bike owners. At ₹12.18 per enquiry, the client got a large and steady flow of potential sellers at a cost that made the business model work. The results also show that the approach holds up at scale. Many campaigns look good for a few days and then fade. This one kept delivering conversations at a low cost across the run, on a daily budget of just ₹200.

Real Ad Results Screenshot

Here is the actual screenshot taken directly from Meta Ads Manager, showing the real, unedited performance numbers from the campaign.

old bike buyer meta ads case study results dashboard by Dizispark

Real Meta Ads Manager data. Managed by Dizispark. 1 Aug to 9 Oct, 2026

Before & After Dizispark

AreaBeforeAfter
Ad CampaignNo structured Meta Ads campaign for sellers1 focused buying campaign, running from 1 Aug to 9 Oct
New EnquiriesNo steady flow of online seller enquiries892 message enquiries from bike owners
Cost Per EnquiryNo reliable cost-per-enquiry data₹12.18 per conversation started
VisibilityLimited online visibility among bike owners385,728 impressions on Facebook & Instagram
How Enquiries CameMostly word of mouth and listingsOwners started a message conversation directly from the ad
TargetingNo location-based audience targetingBike owners targeted in [Target Cities]
Budget UsedNo tracked digital ad budget₹200/day, ₹10,860.28 in total, with daily tracking

Key Numbers

Across the full campaign, 892 bike owners started a message conversation with the client, which reflects real interest given that each person had to take a deliberate step to reach out. The total spend was ₹10,860.28 on a daily budget of ₹200, at an average cost of just ₹12.18 per enquiry. The ad was shown 385,728 times on Facebook and Instagram, at an estimated cost of about ₹28 per 1,000 impressions, and throughout the run, targeting stayed restricted to the areas the client could realistically serve.

Conclusion

For an old bike buyer, the supply of sellers decides everything. Before this campaign, the client depended on word of mouth and listings. After it, they had a direct line to bike owners who were ready to talk, with a total spends of ₹10,860.28, the campaign brought in 892 people who started a conversation with the client, each one arriving at an average cost of just ₹12.18.

Every one of those 892 conversations is a real person who was interested enough in selling a bike to reach out. The client can now follow up with each of them, check the bike details, make an offer and turn genuine interest into purchases. Dizispark made this happen for an old bike buying business, and the same approach can be applied to any used vehicle buyer, dealer or automobile business looking to build a real online enquiry pipeline. The right offer, shown to the right audience, tracked closely from day one, is what produces the right result.

Ready to Turn Ad Spend Into Real Enquiries?

Dizispark builds and runs Facebook & Instagram campaigns for automobile businesses, used vehicle buyers and dealers across India. These are not generic templates, but campaigns built around your specific offer, locations and budget.

  • A campaign strategy built around your business, not a copy-paste template
  • Precise location and audience targeting, so you only pay to reach people you can actually serve
  • Daily monitoring and optimisation, never set and forget
  • Clear, transparent reporting, so you always know your real cost per enquiry

For this client, that meant 892 real enquiries at just ₹12.18 each.

Let’s build the same kind of system for your business. Reach out for a free consultation. No obligation, just a clear look at what’s possible for your budget.

Website: https://dizispark.com/
WhatsApp / Call: 6287 623 081 | We work with stock market

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Mr Rupesh

Mr. Rupesh is a Digital Marketer, specializing in SEO, content marketing, and social media growth strategies. He focuses on what actually works in today’s digital space, sharing practical, data-driven insights that help businesses increase traffic, generate leads, and rank higher on Google. His approach is simple, clear, and focused on real results, not theory.

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