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Operating thesis

Why we price in outcomes, not subscriptions.

SaaS subscription pricing was designed for a customer who doesn't exist in Indian SMB land. The economics break before the second monthly invoice. Here is what we chose instead, and why.

The first invoice almost always lands fine. The second invoice is where the trouble starts.

A SaaS subscription, in the form Indian SMBs are repeatedly sold it, makes a quiet assumption about the buyer. It assumes the buyer has a revenue-operations function: someone whose job it is to log in, learn the tool, configure the workflows, train the team, and renew the contract on the strength of a measurable result. In Indian SMB land — the 9 lakh real estate brokers, 12 lakh clinics, 25 lakh F&B outlets we serve — that function doesn't exist. The owner is at the front desk. The receptionist is on the phone. There is no one whose job is the tool.

So the second invoice arrives and the owner pauses. The first month's outcome wasn't measured because there was no one to measure it. The product is still half-configured because there was no one to finish configuring it. Nothing visibly bad has happened, but nothing visibly good has happened either. The honest question is: should we keep paying?

For two decades, the Indian digital marketing industry has answered that question with another invoice and a vague report. That is exactly the trust deficit GigaBizZone is built around.

What outcome pricing actually means here

It doesn't mean "we'll send a fancy invoice with KPIs". It means the commercial design itself sits on top of measured outcomes, not on top of seats. Concretely:

  • Days 1 to 15 are a delivery window. If we don't ship the modules we agreed on the signed kickoff document, you get a full refund — including the setup fee.
  • Days 16 to 30 are an evaluation window. The system runs live with your real customers. If you decide it isn't the right fit, your monthly fee is refundable. No questions.
  • From Day 31, you opt in. You pay per qualified lead, per booked appointment, per resolved query, per recovered debt. You never pay for seats or dashboards you cannot tie to revenue.

This is the Confidence 30 Guarantee in plain language. It is the only honest commercial design choice we could find for a market this scarred by ambiguous billing.

Why nobody else does this

The standard argument against outcome pricing inside an AI services agency is that it concentrates execution risk on the provider. That argument is correct. It is also, in our view, the point.

If we cannot deliver inside fifteen days, we shouldn't be billing for a month. If a clinic owner cannot see that the system has changed her no-show numbers inside thirty days, she shouldn't be paying month two. Concentrating execution risk on us is what forces our delivery discipline. It is also what gives the buyer a real reason to start.

The only commercial structure that survives this contact with reality is one where the operating company has a balance sheet that can take a refund and still keep running. We do. GigaWebZone LLP has been operating for five years, debt-free, with 400+ MSME relationships and statutory-compliant filings. Without that, Confidence 30 is theatre.

The Indian SMB owner does not want to buy AI. They want to buy outcomes. We've built the only Indian AI agency engineered around that distinction.

What this changes in practice

For us, it changes everything. We can't ship "almost-finished" software and hope the renewal arrives. The Day 15 delivery definition for each module is the only thing keeping our setup fee. The Day 30 evaluation is the only thing keeping our monthly fee. The 90-day measured outcome is what creates retention.

For the customer, it changes the question they have to answer. Instead of "should I sign up for another tool?" it is "would I add this outcome to my business if it cost zero to find out?" That is a much easier question, and it is the right one.

This is also why the configurator exists. The customer assembles their own stack from a transparent catalogue, sees the monthly recurring, sees the setup fee (a flat 50% of monthly), and submits — without a call. The configurator is the cleanest expression of outcome pricing: nothing is hidden, nothing is bundled, the choice is yours.

What we will not pretend

Outcome pricing isn't morally superior. It is commercially appropriate for this market and this category. In a different market — large enterprises with mature procurement and dedicated RevOps teams — a per-seat licence with a 12-month commit is exactly the right structure. It assumes a buyer who exists in that market and doesn't exist in ours.

We will also not pretend Confidence 30 is universal. There are scope items we won't refund — pass-through usage already consumed, delays caused by access we couldn't get, scope added verbally after signing. The full mechanics live on the guarantee page and the Terms of Service.

What we will say is this: until the Indian AI services market designs commercial structures that take the Indian SMB owner's reality seriously, the market will continue to look like a small number of generic agencies selling subscriptions to people who don't have someone to log in. That's the problem we set out to solve. Outcome pricing is how we solved it.

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