Varanasi, UP- IN
CRO & Experimentation
Turn traffic into revenue with disciplined testing, faster pages, and data you can trust.
Description:
CRO & Experimentation
We design conversion programs that lift CVR, AOV, and LTV while reducing CAC. Our approach blends speed (Core Web Vitals), clean UX, and statistically sound experiments to turn opinions into evidence. From landing pages to checkout, we map journeys, fix friction, and prioritize hypotheses with clear ROI. You’ll get a reliable pipeline of tests, faster feedback loops, and reporting that ties wins to revenue—not vanity metrics.
Under the hood: a robust data layer, consent-aware tracking (DPDP/GDPR), and server-/client-side testing where it fits. We use feature flags for safe rollouts, personalize without creepiness, and keep performance budgets so tests don’t slow pages. Virtunetic accelerates copy and variant generation (including multilingual), while Ektasi Labs powers lifecycle messaging for abandoned carts, win-backs, and post-purchase upsells—so gains compound across the funnel.
Foundations First—Data, Speed, and Safety
Great tests need great plumbing. We implement a stable event model (views, adds, carts, checkouts, purchases) with identity resolution, bot filtering, and SRM checks (sample-ratio mismatch). Tracking is consent-aware and privacy-compliant; sensitive fields are minimized or hashed. We harden pages with performance budgets, image optimization, and script governance so experiments don’t inflate TTFB or CLS. For testing, we deploy the right mix: server-side for pricing, inventory, and eligibility logic; client-side for UI and content; and feature flags for progressive delivery and instant rollbacks. Observability covers exposure, conversions, and guardrail metrics (error rate, latency, refund rate) so “wins” don’t break ops.
A Program, Not One-Off Tests
We run a cadence you can rely on: backlog grooming → hypothesis design → power/sample checks → launch → monitor → analyze → ship or iterate. Playbooks cover high-leverage areas—onboarding, search/listing, product pages, cart/checkout, paywalls, promotions, cross-sell/upsell, and returns. Methods include A/B, multivariate, bandits where appropriate, and holdouts for lifecycle messaging. Analysis is transparent: effect sizes, confidence intervals, and practical significance, not just p-values. We maintain a living knowledge base of results so learnings inform design, ads, and merchandising. The outcome is predictable lift, fewer re-tests, and a roadmap that makes each quarter better than the last.
Frequently Asked Questions
Most teams see first wins within 4–6 weeks after foundations; meaningful compounding usually appears by weeks 8–12.
We work with mainstream experimentation and flagging platforms, or build lightweight, server-side testing when control and speed are paramount.
We set performance budgets, lazy-load where needed, and favor server-side or edge logic for sensitive paths like checkout.
Data + heuristics: we combine analytics, session replays, support tickets, and UX audits to rank hypotheses by impact and effort.
We target high-intent steps, run longer, aggregate across templates, or use sequential/Bayesian methods to reach credible decisions.
Pre-registration of hypotheses, SRM detection, guardrail metrics, proper randomization/bucketing, and post-experiment diagnostics.
Yes. We practice data minimization, consent handling, and compliant retention aligned to DPDP/GDPR; sensitive flows get extra controls.
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Whether you're looking to launch a new product, scale your digital operations, or explore cutting-edge technologies like AI, blockchain, or automation — we're here to help. Reach out to our team for a free consultation or a custom quote. Let's turn your vision into a real, working solution.