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Lead Generation Websites, Google Maps Ranking, WhatsApp Funnels, Ecommerce, SEO, Web DesignSpeed Optimization · Conversion Optimization · Monthly Lead Systems · AI AutomationLead Generation Websites, Google Maps Ranking, WhatsApp Funnels, Ecommerce, SEO, Web Design

Conversion Rate Optimization · Mumbai & Worldwide

Disciplined diagnosis,
not a guaranteed lift.

We investigate likely causes of drop-off using analytics, funnel data and qualitative research, then test changes where traffic genuinely supports a valid experiment. Where it does not, we recommend evidence-led improvements instead of running a test that cannot produce a reliable result. No agency can honestly promise a conversion or revenue increase, and we do not.

Measurement auditFunnel analysisEvidence-led testingMonthly reporting
Team reviewing funnel data and test results for conversion rate optimization

Prateeksha provides conversion rate optimization for Mumbai businesses — measurement audits, funnel analysis, qualitative research and evidence-led testing where traffic supports a statistically valid experiment. No agency can honestly guarantee a conversion or revenue increase, and low-traffic sites are improved through qualitative methods rather than invalid A/B tests.

Where CRO work goes wrong

Most conversion work is opinion applied to a page, not evidence applied to a problem.

  1. 01

    No clear definition of "conversion"

    Changes get made before anyone agrees what action actually counts as success.

  2. 02

    Missing or incomplete event tracking

    Form submits, calls and WhatsApp clicks are not reliably recorded, so there is nothing real to test against.

  3. 03

    Friction hidden inside aggregate metrics

    A dropping conversion rate is visible; the specific step causing it usually is not, without deeper analysis.

  4. 04

    Changes based on opinion, not evidence

    A redesign or a new headline goes live because it looks better, not because data pointed there.

  5. 05

    Tests run without enough traffic

    An A/B test on low traffic produces a result that looks meaningful but is not statistically valid.

What an evidence-led approach changes

Diagnosis first, then the right method for your traffic — not a fixed promise.

We define what counts as a conversion, confirm the tracking is actually recording it, and only then decide whether A/B testing or a qualitative method fits your traffic. Want the tracking itself set up properly first? See our analytics & reporting service.

  • A clear, agreed definition of what counts as a conversion
  • Verified event tracking before any test is designed
  • A/B testing where traffic supports statistical validity
  • Qualitative methods where traffic does not
  • Reporting against agreed measures, including inconclusive results

What's included

Every workstream a disciplined CRO programme actually needs.

Scoped to what your traffic and current tracking can actually support.

01

Measurement audit

Analytics and event tracking reviewed for gaps before any test is designed.

Diagnosis

02

Funnel analysis

Step-by-step drop-off mapped from landing to conversion, not just an aggregate rate.

Funnel-level

03

Qualitative research

Heatmaps, session recordings and structured review, used on their own where traffic is too low to test.

Low-traffic method

04

Form & CTA review

Field count, labels, button copy and placement reviewed against known friction patterns.

Friction reduction

05

Messaging & page hierarchy

Headline, value proposition and content order reviewed for clarity, not rewritten by preference.

Clarity-led

06

Experiment design

Hypotheses framed from evidence, with a defined sample size before a test starts — not run on a hunch.

Statistically framed

07

Implementation

Winning variations (statistically and practically significant) implemented; everything else reported honestly.

Evidence-gated

08

Reporting & learning

Monthly reporting against agreed measures, including what was inconclusive and why.

Honest reporting

How a programme runs

Measure, observe, prioritise, test, learn — a repeating cycle.

The method at each stage depends on what the traffic and tracking data actually allow.

  1. Measure

    Tracking verified, conversion events defined and agreed before anything else starts.

  2. Observe

    Funnel data and qualitative research used to find where visitors genuinely drop off.

  3. Prioritise

    Candidate fixes ranked by evidence of likely impact, not by ease of implementation.

  4. Test

    A/B tested where traffic allows a statistically valid result; implemented directly where it does not.

  5. Learn

    Results — including inconclusive ones — reported honestly and fed into the next cycle.

What changes

Isolated design tweaks vs. evidence-led optimisation.

Both can change how a page looks. The difference is whether the change traces back to a diagnosed problem.

What changes
Isolated design tweaks
Evidence-led optimisation
Starting point
A page redesigned because it looks dated
A measurement audit that names the actual friction point
Low-traffic pages
A/B tested anyway, producing an unreliable result
Improved through qualitative methods instead
Deciding a "winner"
Whichever variant has more conversions after a few days
Statistical and practical significance, both required
Trust elements
Added as decoration, unverified
Only genuine, evidenced signals are used
Reporting
Only the wins get mentioned
Inconclusive results are reported too

Where the method changes

The right approach depends on your traffic, not a fixed package.

Each of these needs a genuinely different method — we scope to what your data can actually support.

01

High-traffic experimentation

Enough visitors to reach statistical significance in a reasonable window — A/B testing leads here.

Testable

02

Low-traffic qualitative improvement

Heatmaps, session recordings and usability review used directly, without an invalid statistical test.

Qualitative-led

03

Lead-generation journeys

Form and call/WhatsApp friction usually leads, since the funnel is short and enquiry-focused.

Enquiry-focused

04

Ecommerce flows

Product, cart and checkout steps reviewed as a connected sequence, not single pages in isolation.

Funnel-level

Choose your starting point

Three ways to start, depending on your traffic and current tracking.

Each is a legitimate starting point — you decide how far to take it after seeing the findings.

Start here

Audit & roadmap

A measurement audit and prioritised roadmap you can act on with us, or without us.

  • Analytics & event tracking review
  • Funnel and drop-off analysis
  • Prioritised roadmap
  • Findings you own either way
Request an audit

Recommended

Implementation sprint

The roadmap implemented — tested where traffic supports it, applied directly where it does not.

  • Form and CTA fixes
  • Messaging and hierarchy work
  • A/B tests where statistically valid
  • A clear report on what changed and why
Discuss a sprint

Ongoing

Continuous optimisation

A repeating measure-test-learn cycle, reported against agreed measures every month.

  • Monthly testing cadence, traffic-permitting
  • Qualitative research on lower-traffic pages
  • Honest reporting, including inconclusive tests
  • A rolling, evidence-led roadmap
Start an ongoing programme

What ships with every CRO engagement

Written audit findings

A documented audit naming the likely causes of drop-off and the evidence behind them.

Verified event tracking

Conversion events checked and corrected before any test is designed, so results can be trusted.

A method matched to your traffic

Statistically valid A/B testing, or qualitative research where a test would not be reliable.

Significance, not a guess

A result is only called a winner once it clears both statistical and practical significance.

Monthly reporting

A report against the measures agreed at the start, including inconclusive results.

No promised lift

A realistic view of the work discussed honestly, never a promised conversion or revenue increase.

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Aeroboom
ARC
Chinadaila
Logo FNS
HB Roofer
Heranba
Instagram
Logo 1
Operando
Sea Star Logo
Womenzza

Ready to see what's actually causing drop-off?

Start with an audit — not a promise.

Share your site and goals. You'll get a clear view of what the data and tracking actually show, and the method that fits your traffic, before anything else is proposed.

FAQs

Conversion Rate Optimization — frequently asked questions.

Clear answers on cost, timing, method and what results honestly look like.

Tell us about your traffic and current tracking and we'll recommend the right method.

CRO is the process of investigating why visitors do not take a desired action — filling a form, calling, or completing a purchase — and testing changes to address it. The objective is to get more value from the traffic you already have, not to promise a specific increase.

It depends on scope. A one-time conversion audit is priced as a fixed project; an ongoing programme with monthly testing and reporting is priced as a retainer. Share your site and goals and we will provide clear options against a defined scope.

We do not commit to a fixed timeline for a conversion outcome — no reputable programme can honestly promise one. What we can commit to is a defined audit timeline and a testing cadence, agreed as part of every proposal, with progress reported against that cadence rather than a promised lift.

We start with a measurement audit — analytics review, funnel analysis and qualitative research such as heatmaps or session recordings where available. From there we build a prioritised roadmap, test where traffic supports a valid experiment, implement changes, and report against agreed measures every month.

A/B testing requires enough traffic to reach statistical significance — without it, a test result cannot be trusted. If your traffic is too low for valid testing, we focus on qualitative methods instead: heatmaps, session recordings, and structured UX review against known usability practices. This is a genuinely different method, not a lesser version of testing.

It can range from small copy and form changes to larger layout work, depending on what the audit finds. Where traffic allows, we test changes before rolling them out permanently. Your brand and visual identity stay intact throughout.

A test is only called a winner when it reaches both statistical significance (the result is unlikely to be chance) and practical significance (the size of the effect is meaningful for your business). A statistically significant but practically trivial result is reported as inconclusive, not as a win.

Yes. We audit the checkout flow — cart, shipping, payment and confirmation — for friction, and test improvements where traffic volume supports it. On lower-traffic stores we prioritise qualitative fixes based on established checkout usability practices instead.

Yes, for ongoing engagements. Each report covers tests run, findings, and what is planned next — reported honestly, including when a test result is inconclusive.

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