A/B Testing Agency
What We Deliver
End-to-end experimentation: test strategy, hypothesis design, statistically valid execution, and analysis that turns results into decisions.
Experimentation Strategy
Test Design & Setup
Hypothesis Prioritisation
Statistical Significance
Multivariate Testing
Personalisation Testing
Tooling & Implementation
Results Analysis
Experiment Backlog & Roadmap
Reporting & Insights
We run experiments with the rigour to produce decisions you can trust, not noise.
How We Do It
Our Process
How We Run A/B Testing
1
Audit & Attribution Setup
We start by fixing measurement. Before spending a rupee, we audit your existing accounts, set up clean conversion tracking, and stand up an attribution model so every result is real and every decision after this is made on signal, not vanity metrics.
UI-UX Design
2
ICP & Offer Strategy
We sharpen who we're targeting and what we're saying to them. The wrong offer to the right audience burns budget faster than any bad ad. We define the ICP, the angle, and the offer before we touch a campaign.
UI-UX Design
3
Creative System Build
We build a Scalable Creative System: modular hooks, formats, and variants engineered for testing, so creative is produced at volume without diluting the brand. Creative is the biggest lever in paid media, and we treat it like one.
UI-UX Design
4
Campaign Architecture & Launch
We structure campaigns for clean learning and efficient spend: audiences, budgets, and bidding built so the platform's algorithm has what it needs to find your buyers fast.
UI-UX Design
5
Measurement & Attribution
We report through our Attribution Growth Intelligence framework: tying spend to pipeline and revenue, not impressions. You see what's working, what isn't, and exactly where the next rupee should go.
UI-UX Design
6
CRO & Optimisation
Traffic is wasted if the destination doesn't convert. We optimise the post-click experience and run disciplined tests on creative, audiences, and landing pages to drive cost-per-result down week over week.
UI-UX Design
7
Scale & Reallocate
Once a channel is profitable, we scale it deliberately: reallocating budget to what compounds and cutting what doesn't, so growth stays efficient as spend grows.
UI-UX Design
Why Goldenflitch for A/B Testing
We are not a media-buying shop that bolts on 'AI'. Our Brand-to-Market division was built AI-native: Agentic AI Marketing and Attribution Growth Intelligence are the proprietary frameworks that separate growth that compounds from spend that disappears.
AI-Native Growth Engine
Our Agentic AI Marketing framework runs always-on campaign, creative, and optimisation work at a speed a traditional team can't match.
Attribution Growth Intelligence
Our proprietary measurement framework ties every rupee to pipeline and revenue; we report on what moves the business, not impressions.
Performance Marketing Engine
A systemised acquisition engine: audiences, creative, bidding, and CRO working together, not a pile of disconnected campaigns.
Scalable Creative System
On-brand creative produced at the volume performance media demands, without diluting the idea or the brand.
One Roof, One Timeline
Strategy, creative, media, and measurement in the same room from the first conversation, no agency relay race, no handoff lag.
Senior-Only Delivery
The names you meet in the pitch are the names on the work. No junior bait-and-switch.
Outcome-Tied, Not Impressions
GoalTeller: +41% activation. ERPForce: 2.3x demo requests. We define success in your language at the start and report against it.
Brand-Safe Speed
AI compresses the mechanical work; craft keeps the brand intact. Speed never comes at the cost of the idea.
Make Decisions From Evidence, Not Hunches
Worth a conversation? Goldenflitch builds and runs A/B testing as a measured system: strategy, execution, and reporting under one roof, tied to your pipeline.
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©2026
Most A/B Tests Are Underpowered, Misread, or Both.
Calling a winner too early, testing trivial changes, or ignoring statistical significance produces confident conclusions that are simply wrong, and decisions that cost money. Rigorous experimentation is the difference between learning and guessing with extra steps.
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