A/B Testing Development
You deserve to know what’s happening and why. We run a structured, yet agile, testing process to craft the right variations. We keep you in the loop at every step, with clear milestones and decisions. Want the big picture? Here’s our standard process from brief to launch. See our process, start here! ✓
Ship more winning experiments faster, airtight QA, reliable rollouts, and measurable lift every sprint.
End-to-End A/B Test Development
A/B Testing Development01
We deliver fast, reliable experimentation across server-side tests, multivariate setups, personalisation, and split-URL campaigns. Build and launch on any platform, often in a single day. Clean, precise code with strict QA for flawless runs. From startup to enterprise, our approach grows with your needs.
A/B Testing Tool Setup02
Goals that matter. Data you can trust. We get decision quality data by nailing goal design and instrumentation, then make it work hard for your program. We partner with Optimizely, Convert, AB Tasty, Varify.io, VWO and more to deliver: Quick, accurate setup: Precise goal tracking, no guesswork. Every metric feeds back into experiments cleanly. Configure platforms for faster, more reliable insights.
A/B Test Mockups & Design03
Turn ideas into on-brand, conversion ready variants using proven templates and senior design craft. On-trend, on-brand: Modern layouts tuned to your identity and goals. Elevate landing pages, PDPs, and theme components style intact. Rapid iterations that improve UX and lift conversion.
Server-Side A/B Testing04
We implement experiments at the code level across any stack fast, safe, and precise. Custom builds, e-commerce platforms, React/Next, we slot right in. Every interaction captured correctly for trustworthy measurement. Patterns and architecture that grow with your product and traffic.
GA4 & GTM Configuration05
Data should be accurate, trusted, and actionable. We set up analytics end-to-end GTM containers, GA4 properties, events, conversions, and clean data layers for clarity you can rely on. Code-level data layer, event/parameter mapping, conversion tracking instrumented for precision. Reliable reporting that informs decisions, not guesses. Best-practice compliance: Naming standards, environments, consent mode, and governance baked in.
CRO Support06
Stay ahead with senior experimentation expertise. Latest conversion tactics, evidence-backed patterns, and heuristics. Strategic guidance: A second set of expert eyes on roadmaps, hypotheses, and prioritisation. Results focus: Recommendations tied to measurable lift conversion rate, revenue, AOV, and LTV.
Our Experimentation Process
Transparency first: we use a structured, agile approach to design the right test variations and update you throughout. For a high-level view of how it all fits together, check out our process.
01. Kickoff & Clarify
Review your test plan, align on hypotheses and variations, map edge cases, and confirm scenarios so nothing’s ambiguous before we proceed.
02. Effort & QA Estimate
Provide a clear breakdown of dev and QA hours, tasks, devices/browsers, and scenarios to be covered.
03. Build Variants
Develop the variations, validate in console, and package clean, modular code for the testing platform.
04. Tool Setup
Configure audiences, targeting, metrics/goals, and experiment settings aligned to the test plan.
05. Pre-Validation
Share preview links and walk through each variant with you to confirm intent and UX.
06. Quality Assurance
Run manual checks across agreed devices/browsers; log/fix issues rapidly and capture screen recordings for evidence.
06. Client QA
Send post-QA previews for your sign-off; if you’re not satisfied, we iterate.
07. Launch Readiness
Final tweaks, peer review against the plan, and handoff to launch—so you can start collecting results with confidence.
Why Choose Mondaysys
What Our Clients Say
Unfiltered feedback from founders, CTOs, and product leaders. Real outcomes, clear numbers, and the kind of partnership you can feel from day one.
“We launched a clean Shopify migration in 5 weeks no downtime and saw +27% revenue over BFCM.”
Our legacy store crashed under promo traffic. Mondaysys planned a phased cutover, live-synced inventory, and rehearsed rollback paths. Launch day felt boring in the best way and BFCM finally scaled without firefighting.
“The LLM chatbot deflects 38% of tickets and cut first response time to under a minute.”
Support was drowning in “Where’s my order?” tickets. Mondaysys trained an LLM on our policies, added guardrails, and integrated with Helpdesk for order status and refunds. Agents now handle the hard stuff; the bot handles the rest, fast.
“Their QA discipline drove defect escape below 0.8% releases are finally boring (in the best way).”
We shipped features but also bugs. Mondaysys built a risk-based test plan, added Playwright automation, a11y checks, and data-layer contracts. A pre-release gate stopped regressions cold users noticed stability, not slips.
“Cloud cost down 35%, deployments moved from weekly to daily, Mondaysys modernized our DevOps fast.”
Infra spend climbed while deploys lagged. Mondaysys right-sized clusters, set autoscaling, codified everything in IaC, and rebuilt CI/CD with canary releases. Teams ship daily now and finance finally smiles at the bill.
“The mobile app relaunch cut crash rate by 70% and bumped ratings from 4.2 to 4.8.”
Crashes spiked during peak hours. Mondaysys instrumented the app, traced memory leaks, added offline caching and progressive sync, and simplified onboarding. The app feels instant; reviews turned into referrals.
“Attribution finally makes sense, CAC down 15% after Mondaysys fixed our GA4 and data layers.”
Our channels argued over credit; budgets were blind. Mondaysys audited tags, moved us to server-side, deduped events, and standardized UTMs. Now we fund what works—and cut what doesn’t.
“Mondaysys tripled our A/B test velocity and delivered a 22% conversion lift in six weeks.”
Our tests were stuck behind dev queues and a messy data layer. Mondaysys set up a reusable experiment library, fixed analytics contracts, and created a QA checklist so releases didn’t stall. We went from 2 to 6+ tests/month and finally learned what moved revenue.
“Their MondayPOS ERP rollout gave us 98.5% inventory accuracy and cut checkout time by 40%, game changer.”
Shrink and price disputes were draining margins. Mondaysys ran a full stock audit, mapped barcodes to variants, and enforced pricing rules at POS. Cashiers stopped overriding prices; managers got real-time stock lines got shorter, errors vanished.
“Personalized recommendations from Mondaysys boosted AOV by 18% and repeat purchases by 12%.”
Customers couldn’t find the right shades, so carts stayed small. Mondaysys cleaned our catalog, trained an AI ranker on purchase + browse signals, and launched bundles for cold-start users. Discovery felt human, baskets grew overnight.
Frequently Asked Questions
What is A/B testing (in one sentence)?
A controlled experiment that splits traffic between two (or more) versions to measure which one improves a target metric (e.g., conversion rate, revenue per visitor).
Why is A/B testing important for my website?
It turns guesses into measured wins, reduces redesign risk, and compounds revenue by shipping only what proves to lift your KPIs.
How long should a test run?
Often 1–2 weeks (sometimes longer) to cover behavior cycles and reach a trustworthy sample; exact duration depends on traffic, baseline conversion, and expected lift.
Will A/B testing hurt my SEO?
No—when done correctly (no cloaking, use 302s for temporary redirects, use rel=canonical, don’t run tests for excessive durations). This is straight from Google’s guidance.
Can I still use Google Optimize?
No, Google Optimize sunset on September 30, 2023. We migrate clients to platforms like Optimizely, VWO, Convert, AB Tasty, LaunchDarkly, or Statsig.
What if my site has low traffic can I still test?
Yes: run higher-impact changes, use site-wide tests, combine micro-conversions, or use methods like sequential analysis and Bayesian approaches; supplement with research (surveys, recordings, heuristic reviews).
What does your “A/B Test Development” include?
End-to-end build: spec → design → engineering (platform-agnostic) → analytics tagging → cross-device QA → launch → monitor → analyze → ship winner → document learning.
Do you handle QA and analytics?
Yes. We pressure-test variants across devices/browsers, validate events (GA4/Segment/Adobe), and share QA checklists and test readouts.
Can Mondaysys work with our existing team?
Absolutely. We plug in as an experimentation pod or augment design/engineering/analytics to increase velocity without disrupting your process.
What tools do you support?
Optimizely, VWO, Convert, AB Tasty, Dynamic Yield, Adobe Target, Kameleoon, LaunchDarkly/Statsig (feature flags), and custom frameworks. We integrate with GA4, Segment, Adobe, Looker, and your data warehouse.
How do I get started with Mondaysys?
Book a quick discovery. We’ll run a rapid audit (traffic, analytics, tech stack), propose a 90-day experiment plan, and start with a pilot test.
How do I hire a great Shopify developer (fast checklist)?
Look for: (1) theme & Liquid mastery, app/extensibility, and Shopify CLI; (2) performance (Lighthouse, LCP/CLS), accessibility, and SEO basics; (3) experience with Shopify Plus, checkout extensibility, Scripts/Functions; (4) analytics/GA4 events; (5) clear comms, clean Git habits, and QA discipline. Ask for code samples and shipped storefronts.
Can you A/B test on Shopify?
Yes, theme variants, templates, sections, PDP, cart, and (with Plus/eligible setups) certain checkout experiences via approved methods or platform tools; Shopify publishes guidance for merchant-assigned testing in specific components.
Do you build custom Shopify features too?
Yes. We handle theme builds, app integrations, performance tuning, internationalization, subscriptions, and CRO-driven UX updates.
How much do your services cost?
We scope to your goals and traffic. Typical models: (1) Experimentation Pod (monthly retainer) for steady velocity; (2) Fixed-fee pilot (audit + 1–2 launches); (3) Project-based Shopify builds. Request a tailored plan after a 30-min discovery.
Do you support Bayesian or frequentist analysis?
Both, we choose based on your data volume, decision cadence, and stakeholder preference, and we document assumptions either way.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.
How many conversions do I need to trust a result?
There’s no single magic number it depends on baseline rate and desired lift. We estimate sample size up front and won’t call a winner before confidence thresholds are met.
What if a test is inconclusive?
We capture the learning, refine the hypothesis, and iterate (bigger change, better targeting, or different step in the funnel).
How quickly can you launch the first test?
Commonly 1–2 weeks after access and audit (faster if your tagging and environments are ready).
Will experiments slow down my site?
Our builds are performance-first (async loads, minimal blocking, code splitting). We monitor Core Web Vitals on variant and control.
Do you migrate teams off Google Optimize?
Yes, assessment, tool selection, event parity, QA, and phased cutover from Optimize to an enterprise-grade platform.
Can you coordinate with our SEO team during tests?
Yes, we follow Google’s testing guidance (302s, rel=canonical, no cloaking) and share test scopes/URLs so SEO stays healthy.
