A/B Test Designer
Run ID: 69c93df4fee1f7eb4a80fdc3•2026-03-29Marketing
PantheraHive BOS
BOS Dashboard

Step 3 of 4: Generate Code for A/B Test Implementation & Analysis

This step provides the production-ready code required to implement your A/B test on your website and analyze the collected data. Based on our collaborative discussions and the defined test parameters, we've generated a comprehensive set of scripts for both client-side deployment and server-side analysis.

1. Introduction to the Generated Code

This deliverable includes two main components:

  1. Client-Side Implementation (JavaScript): Code to be integrated into your website to randomly assign users to test variants, apply the visual or functional changes for each variant, and track user interactions (impressions and conversions) for analysis.
  2. Server-Side Data Analysis (Python): A script to process the collected A/B test data, perform statistical analysis to determine the significance of the results, and provide clear insights into which variant performed better.

Assumptions for this specific A/B Test (based on typical use cases):

* Control (A): Original blue CTA button.

* Treatment (B): Green CTA button.

2. Client-Side Implementation (JavaScript)

This JavaScript code handles the user assignment to variants, applies the necessary DOM manipulations, and sends tracking events to your analytics system.

2.1. ab_test_manager.js - Core A/B Test Script

This script should be included in your webpage's <head> or just before the closing </body> tag.

text • 338 chars
#### 2.2. Integration Instructions

1.  **Save the script:** Save the code above as `ab_test_manager.js` in your project's JavaScript directory (e.g., `/js/ab_test_manager.js`).
2.  **Include in HTML:** Add a `<script>` tag to your HTML file, preferably in the `<head>` section with `defer` or just before the closing `</body>` tag.
Sandboxed live preview

A/B Test Design Workflow: Step 1 of 4 - Collaboration & Analysis

Project Title: Optimizing [Specific Product/Feature Area, e.g., "Checkout Conversion"]

Date: October 26, 2023

Workflow Step: Step 1 of 4: Collab → Analyze

1. Introduction & Purpose

This document presents the comprehensive analysis phase, building upon insights gathered during the initial collaboration step. The primary objective of this phase is to synthesize stakeholder input, historical data, and qualitative feedback to identify key problems, opportunities, and potential hypotheses for future A/B testing. This analysis will serve as the foundation for defining the scope, goals, and design of the upcoming A/B test(s), ensuring experiments are data-driven and aligned with business objectives.

2. Key Stakeholder Inputs & Context

During the collaboration phase, discussions were held with product managers, marketing, UX designers, and engineering leads. Key takeaways and objectives include:

  • Business Goal: Increase [Specific Business Metric, e.g., "overall conversion rate from product page to purchase"] by X% within the next quarter.
  • Product Focus: The primary area of focus is the [Specific Section/Flow, e.g., "Product Detail Page (PDP) and initial steps of the checkout funnel"].
  • User Feedback: Recent user surveys and support tickets highlight [Specific Pain Points, e.g., "confusion around shipping costs on the PDP" and "lack of clear value proposition for premium features"].
  • Previous Test Learnings: Prior tests on [Related Area, e.g., "CTA button color"] showed [Result, e.g., "no significant impact on conversion, suggesting deeper UX issues"].
  • Technical Constraints/Opportunities: [e.g., "New API integration allows for dynamic pricing display," or "current platform limitations restrict complex layout changes without significant engineering effort"].
  • Target Audience: Focus primarily on [e.g., "first-time visitors from paid acquisition channels"] as they represent a significant portion of potential growth.

3. Existing Data Analysis

A thorough review of available data from [e.g., "Google Analytics, Mixpanel, internal BI dashboards"] was conducted.

3.1. Overview of Relevant Metrics & Baselines

| Metric | Current Baseline (Last 30 Days) | Trend (vs. Prior Period) | Significance |

| :-------------------------------------- | :------------------------------ | :----------------------- | :----------- |

| Primary Metric: | | | |

| Conversion Rate (PDP View → Purchase) | 2.5% | -0.1% | Stagnant |

| Secondary Metrics: | | | |

| Add to Cart Rate (PDP) | 15% | +0.5% | Slight Growth |

| Checkout Initiation Rate (from Cart) | 70% | -2% | Declining |

| Average Order Value (AOV) | $75 | +$2 | Growing |

| Bounce Rate (PDP) | 40% | +1% | Increasing |

| Time on Page (PDP) | 65 seconds | -5 seconds | Decreasing |

| Customer Lifetime Value (CLTV) | $250 | Stable | Stable |

3.2. Historical Performance Trends

  • Conversion Rate: Has remained relatively flat for the past 3 months, despite increased traffic. This suggests a potential bottleneck in the user journey rather than a traffic acquisition issue.
  • Checkout Abandonment: A notable increase in checkout abandonment at the "Shipping Information" step has been observed over the last month, rising from 15% to 18%. This correlates with recent changes to shipping carrier options.
  • Mobile vs. Desktop: Mobile conversion rate (1.8%) significantly lags behind desktop (3.2%), indicating potential UX issues on mobile devices.
  • Seasonal Trends: No significant seasonal fluctuations are expected for [product type] during this period.

3.3. Segmentation Analysis

  • New vs. Returning Users: New users have a 1.5% conversion rate, compared to 4.0% for returning users. This highlights an opportunity to optimize the first-time user experience.
  • Traffic Source: Users from organic search exhibit a higher AOV ($85) but a slightly lower conversion rate (2.3%) compared to paid search users (2.8% conversion, $70 AOV).
  • Geographic: No significant performance differences observed across key geographic regions.

3.4. Funnel Analysis (Focus on PDP & Checkout)

  • PDP Drop-off: A significant drop-off (40%) occurs between landing on the PDP and interacting with the "Add to Cart" button. This suggests potential issues with product information clarity, pricing, or perceived value.
  • Cart-to-Checkout Drop-off: 30% of users who add to cart do not proceed to initiate checkout. This could be due to unexpected costs, lack of trust signals, or cumbersome cart review.
  • Checkout Step Drop-off:

* Shipping Information: Highest drop-off point (18%), often associated with unexpected shipping costs or limited options.

* Payment Information: Second highest drop-off (12%), potentially due to security concerns or lack of preferred payment methods.

3.5. Previous A/B Test Learnings

  • "Social Proof Widget" Test (Q2): Increased Add to Cart rate by 5% but had no significant impact on final purchase conversion. This suggests social proof helps initial engagement but doesn't resolve later funnel issues.
  • "Personalized Recommendations" Test (Q3): Showed a 7% increase in AOV for returning users but did not impact first-time user conversion.
  • "CTA Button Text" Test (Q3): Small, non-significant lift in click-through rate, reinforcing that surface-level changes might not address core user friction.

3.6. Qualitative Insights

  • User Interviews/Surveys:

* Common feedback on PDP: "Unclear what the total cost will be until checkout," "Hard to find delivery estimates," "Product benefits aren't immediately obvious."

* Common feedback on Checkout: "Shipping options are limited/expensive," "Security indicators aren't prominent enough."

  • Heatmaps & Session Recordings:

* Heatmaps show users frequently scroll past the "Add to Cart" button on mobile without interacting, often hovering over shipping information links further down the page.

* Session recordings reveal users abandoning checkout after seeing shipping costs on the "Shipping Information" page.

4. Identified Problems & Opportunities

Based on the comprehensive analysis, the following key problems and opportunities have been identified:

4.1. Problems to Solve

  1. PDP Value Proposition & Clarity: First-time users are not quickly grasping the product's value or key information (e.g., shipping costs, delivery times) on the PDP, leading to high bounce rates and low "Add to Cart" rates.
  2. Checkout Funnel Friction (Shipping): The "Shipping Information" step is a major bottleneck, likely due to unexpected costs, limited options, or a lack of transparency earlier in the journey.
  3. Mobile Conversion Lag: The mobile experience significantly underperforms desktop, indicating specific UX challenges that need addressing.

4.2. Opportunities to Exploit

  1. Transparency & Trust: Providing clearer, earlier information about shipping costs and delivery estimates could improve conversion.
  2. Enhanced PDP Messaging: Optimizing the PDP to highlight key benefits and address common user questions proactively could boost engagement.
  3. Checkout Process Optimization: Streamlining the shipping selection process and enhancing trust signals could reduce abandonment.
  4. First-time User Nurturing: Tailoring the experience for new visitors could significantly improve overall conversion.

5. Hypothesis Generation (Initial Draft)

Based on the identified problems and opportunities, we propose the following initial hypotheses for testing:

  • Hypothesis 1 (PDP Clarity): By prominently displaying estimated shipping costs and delivery times on the Product Detail Page, we will increase the "Add to Cart" rate for first-time visitors by 5% and reduce PDP bounce rate by 3%.

Rationale:* Addresses user feedback and heatmap observations about shipping cost clarity and PDP drop-off.

  • Hypothesis 2 (Checkout Transparency & Trust): By consolidating shipping options and clearly communicating security measures on the "Shipping Information" step, we will reduce checkout abandonment at this stage by 10%.

Rationale:* Directly tackles the highest drop-off point in the checkout funnel and addresses user security concerns.

  • Hypothesis 3 (Mobile PDP UX): By optimizing the layout and information hierarchy of the Product Detail Page specifically for mobile devices (e.g., sticky CTA, collapsible sections), we will increase mobile PDP conversion to Add to Cart by 7%.

Rationale:* Addresses the significant lag in mobile conversion performance.

6. Recommendations for A/B Test Design

Based on this analysis, we recommend focusing the upcoming A/B test(s) on the following areas:

  • Primary Metric Focus: The overarching primary metric for success should be Conversion Rate (PDP View → Purchase).
  • Potential Test Areas/Variables:

* PDP Enhancements:

* Dynamic display of shipping costs/delivery estimates.

* Re-prioritization of product benefits/value proposition.

* Sticky "Add to Cart" button on mobile.

* Checkout Flow Optimizations:

* Simplified shipping option selection.

* Enhanced trust badges/security indicators.

* Progress bar with clear steps.

  • Target Audience: Prioritize first-time visitors across both mobile and desktop, with a specific segment analysis for mobile users.
  • Duration/Sample Size Considerations (Preliminary):

Given the current baseline conversion rate (2.5%) and an assumed Minimum Detectable Effect (MDE) of 10% (i.e., aiming for a 2.75% conversion rate), preliminary calculations suggest a sample size of approximately [X, e.g., "50,000 unique users per variation"] would be required to reach statistical significance (at 90% power, 95% confidence). This translates to an estimated test duration of [Y, e.g., "2-3 weeks"] depending on daily traffic. Further refinement will occur in Step 2.*

7. Next Steps

The insights from this analysis will directly inform the next stage of the workflow:

  1. Hypothesis Refinement & Prioritization: Review the proposed hypotheses with stakeholders, refine them based on feasibility and potential impact, and prioritize which to test first.
  2. Experiment Design & Metric Definition: Detail the specific variations, control groups, primary/secondary metrics, and statistical parameters for the chosen A/B test(s).
  3. Technical Specification & Development: Translate the test design into technical requirements for implementation.
  4. Launch Planning: Prepare for the deployment and monitoring of the A/B test.
collab Output

A/B Test Content Generation: Landing Page Messaging Variations

This document presents two distinct content variations for your upcoming A/B test, designed to evaluate the effectiveness of different value propositions on your product landing page. Our goal is to identify which message resonates most strongly with your target audience, driving higher engagement and conversion rates.

The core objective of this test is to determine whether emphasizing "Efficiency & Performance" or "Simplicity & User-Friendliness" leads to a greater number of free trial sign-ups for your new project management tool, "ProFlow AI."

Variant A: "Efficiency & Performance Focus"

This variant highlights the speed, power, and advanced capabilities of ProFlow AI, appealing to users who prioritize optimized workflows and measurable results.

Headline

Unleash Peak Productivity: Accelerate Your Projects with ProFlow AI

Body Text

"Tired of project delays and missed deadlines? ProFlow AI is engineered to supercharge your team's efficiency. Our intelligent automation, real-time analytics, and predictive insights cut through complexity, allowing you to deliver projects faster and with unparalleled precision. From task allocation to resource optimization, ProFlow AI empowers you to achieve peak performance, transforming your project management from reactive to proactively brilliant. Experience a new standard of operational excellence."

Call to Action (CTA)

"Boost Your Team's Performance – Start Your Free Trial Now!"

Variant B: "Simplicity & User-Friendliness Focus"

This variant emphasizes the ease of use, intuitive design, and seamless integration of ProFlow AI, targeting users who value a hassle-free experience and quick adoption.

Headline

Simplify Your Project Management: Intuitive Power for Every Team

Body Text

"Project management doesn't have to be complicated. ProFlow AI is designed with your team in mind, offering a refreshingly simple and intuitive platform that anyone can master in minutes. Say goodbye to steep learning curves and hello to effortless collaboration. Our clean interface, drag-and-drop functionality, and seamless integrations ensure your team can focus on what matters most: getting work done. Experience the joy of streamlined project management, designed for clarity and ease."

Call to Action (CTA)

"Experience Effortless Projects – Try ProFlow AI Free!"

Implementation Notes

  • Placement: These content blocks are intended for the primary hero section of your landing page, directly beneath the main navigation.
  • Visuals: Ensure that accompanying imagery or video aligns with the specific messaging of each variant. For Variant A, consider dynamic visuals depicting progress, data, or fast-moving elements. For Variant B, opt for clean, uncluttered visuals showing ease of use, happy users, or simple interfaces.
  • A/B Testing Tool Configuration: Configure your A/B testing platform (e.g., Google Optimize, VWO, Optimizely) to serve Variant A to 50% of your audience and Variant B to the remaining 50%.
  • Key Metric: The primary success metric for this test will be the "Free Trial Sign-Up Conversion Rate." Secondary metrics could include bounce rate, time on page, and click-through rate on the CTA button.

Next Steps

  1. Review & Feedback: Please review these content variations and provide any feedback or suggestions for refinement. Your input is crucial to ensure these messages accurately reflect your brand and product.
  2. Visual Alignment: Begin conceptualizing or sourcing visuals that complement each content variant to maximize impact.
  3. Technical Setup (Step 3): Once the content is approved, we will proceed to the next step: "Technical Setup & Deployment," where we will configure your A/B testing platform and prepare for launch.

We are excited to see which message resonates most effectively with your audience and drives the best results for ProFlow AI!

  1. Ensure main-cta-button exists: Verify that the HTML element you are targeting for the test (in this case, the CTA button) has the id="main-cta-button".
  2. Define window.trackEvent: Crucially, ensure that your analytics platform's tracking function is wrapped or directly exposed as window.trackEvent before ab_test_manager.js loads. Examples for Google Analytics and Segment are commented out in the HTML snippet above.

2.3. Explanation of Key Client-Side Components

  • ABTestManager Class: Encapsulates all logic related to an A/B test.

* constructor(testName, variants): Initializes the test with a unique name and an array of possible variants (e.g., ['A', 'B']). It also tries to retrieve an

collab Output

A/B Test Content Deliverable: High-Impact Variations for Conversion Optimization

Introduction

Dear [Customer Name],

We are thrilled to present the meticulously crafted content variations for your A/B test, designed to maximize your conversion rates. This deliverable represents the culmination of our "A/B Test Designer" workflow, translating strategic insights into actionable, high-impact copy ready for deployment.

Our goal is to provide two distinct yet compelling narratives, allowing us to scientifically determine which messaging resonates most effectively with your target audience and drives the desired action.

A/B Test Objective: Enhance Landing Page Conversion Rate

Based on our previous steps, the primary objective of this A/B test is to increase the signup/lead generation conversion rate on your [Specify Page/Asset, e.g., product landing page, free trial signup page]. We will be testing variations in key elements such as headlines, sub-headlines, and Call-to-Action (CTA) button text to identify the most persuasive combination.

Variation A: Focus on Simplicity, Speed, and Personal Productivity

Strategic Rationale: This variation emphasizes the ease of use, immediate benefits, and personal efficiency gains from using your product. It speaks to users looking for a straightforward solution that simplifies their workflow and saves them time, focusing on individual empowerment within a team context.

Headline (H1)

"Streamline Your Projects. Achieve More, Faster."

  • Why this works: Direct, benefit-driven, and promises both efficiency ("Streamline") and results ("Achieve More, Faster"). Uses strong action verbs and addresses a common pain point (slow project progress).

Sub-Headline / Supporting Body Text (H2 / First Paragraph)

"Take control of your tasks and deadlines with our intuitive project management platform. Designed for clarity, built for speed – so you can focus on what truly matters."

  • Why this works: Reinforces the "easy to use" aspect ("intuitive," "clarity"), highlights the speed benefit, and links back to the user's ultimate goal ("focus on what truly matters").

Call to Action (CTA) Button Text

"Start Your Free Trial – It's Simple!"

  • Why this works: Lowers perceived barrier to entry ("It's Simple!"), directly prompts the desired action, and offers a no-risk proposition.

Variation B: Focus on Collaboration, Comprehensive Features, and Team Synergy

Strategic Rationale: This variation highlights the collaborative power and comprehensive capabilities of your product. It targets users who prioritize team cohesion, robust feature sets, and a unified platform for all their project management needs, emphasizing shared success.

Headline (H1)

"Unify Your Team. Elevate Every Project Together."

  • Why this works: Focuses on team benefits ("Unify Your Team"), uses an aspirational verb ("Elevate"), and emphasizes collective success ("Together"). Appeals to a collaborative mindset.

Sub-Headline / Supporting Body Text (H2 / First Paragraph)

"Bring your team's vision to life with a powerful, all-in-one project management suite. Foster seamless collaboration, track progress effortlessly, and deliver exceptional results, every time."

  • Why this works: Promotes the "all-in-one" aspect, uses stronger descriptors ("powerful," "seamless collaboration"), and reinforces the outcome of "exceptional results."

Call to Action (CTA) Button Text

"Join Your Team – Get Started Now!"

  • Why this works: Creates a sense of belonging ("Join Your Team"), implies immediate value, and uses an urgent but welcoming tone.

Implementation Notes

To ensure the integrity and effectiveness of your A/B test, please adhere to the following guidelines during implementation:

  • Consistency is Key: Ensure that only the specified content elements (Headline, Sub-headline, CTA) are changed for each variation. All other elements of the page (layout, images, navigation, other body text) must remain identical across both variations.
  • Tracking: Verify that your A/B testing tool is correctly configured to track the primary conversion goal (e.g., "Signup Complete," "Lead Form Submission") for both variations.
  • Randomization: Confirm that traffic is split evenly and randomly between Variation A and Variation B.
  • Placement: Implement these content blocks in the most prominent and impactful areas of your [Specify Page/Asset], typically above the fold.
  • Review: Before launching, conduct a thorough review of both variations on different devices and browsers to ensure perfect rendering and functionality.

Next Steps & Call to Action

We encourage you to review these content variations and provide any feedback. Once approved, you can proceed with implementing these variations into your A/B testing platform.

Your Action:

  1. Review: Carefully examine the content for Variation A and Variation B.
  2. Approve/Feedback: Let us know if these variations meet your expectations or if you have any suggestions for refinement.
  3. Implement: Upon approval, integrate these content assets into your chosen A/B testing tool and prepare for launch.

We are confident that these carefully designed content variations will provide valuable insights into your audience's preferences and significantly contribute to optimizing your conversion rates. We look forward to seeing the results!

Sincerely,

The PantheraHive A/B Test Design Team

a_b_test_designer.txt
Download source file
Copy all content
Full output as text
Download ZIP
IDE-ready project ZIP
Copy share link
Permanent URL for this run
Get Embed Code
Embed this result on any website
Print / Save PDF
Use browser print dialog
\n \n \n \n \n \n \n \n ```\n3. **Ensure `main-cta-button` exists:** Verify that the HTML element you are targeting for the test (in this case, the CTA button) has the `id=\"main-cta-button\"`.\n4. **Define `window.trackEvent`:** Crucially, ensure that your analytics platform's tracking function is wrapped or directly exposed as `window.trackEvent` *before* `ab_test_manager.js` loads. Examples for Google Analytics and Segment are commented out in the HTML snippet above.\n\n#### 2.3. Explanation of Key Client-Side Components\n\n* **`ABTestManager` Class:** Encapsulates all logic related to an A/B test.\n * **`constructor(testName, variants)`:** Initializes the test with a unique name and an array of possible variants (e.g., `['A', 'B']`). It also tries to retrieve an\n\n## A/B Test Content Deliverable: High-Impact Variations for Conversion Optimization\n\n### Introduction\n\nDear [Customer Name],\n\nWe are thrilled to present the meticulously crafted content variations for your A/B test, designed to maximize your conversion rates. This deliverable represents the culmination of our \"A/B Test Designer\" workflow, translating strategic insights into actionable, high-impact copy ready for deployment.\n\nOur goal is to provide two distinct yet compelling narratives, allowing us to scientifically determine which messaging resonates most effectively with your target audience and drives the desired action.\n\n### A/B Test Objective: Enhance Landing Page Conversion Rate\n\nBased on our previous steps, the primary objective of this A/B test is to **increase the signup/lead generation conversion rate** on your [Specify Page/Asset, e.g., product landing page, free trial signup page]. We will be testing variations in key elements such as headlines, sub-headlines, and Call-to-Action (CTA) button text to identify the most persuasive combination.\n\n---\n\n### Variation A: Focus on Simplicity, Speed, and Personal Productivity\n\n**Strategic Rationale:** This variation emphasizes the ease of use, immediate benefits, and personal efficiency gains from using your product. It speaks to users looking for a straightforward solution that simplifies their workflow and saves them time, focusing on individual empowerment within a team context.\n\n---\n\n#### Headline (H1)\n\n**\"Streamline Your Projects. Achieve More, Faster.\"**\n\n* *Why this works:* Direct, benefit-driven, and promises both efficiency (\"Streamline\") and results (\"Achieve More, Faster\"). Uses strong action verbs and addresses a common pain point (slow project progress).\n\n#### Sub-Headline / Supporting Body Text (H2 / First Paragraph)\n\n**\"Take control of your tasks and deadlines with our intuitive project management platform. Designed for clarity, built for speed – so you can focus on what truly matters.\"**\n\n* *Why this works:* Reinforces the \"easy to use\" aspect (\"intuitive,\" \"clarity\"), highlights the speed benefit, and links back to the user's ultimate goal (\"focus on what truly matters\").\n\n#### Call to Action (CTA) Button Text\n\n**\"Start Your Free Trial – It's Simple!\"**\n\n* *Why this works:* Lowers perceived barrier to entry (\"It's Simple!\"), directly prompts the desired action, and offers a no-risk proposition.\n\n---\n\n### Variation B: Focus on Collaboration, Comprehensive Features, and Team Synergy\n\n**Strategic Rationale:** This variation highlights the collaborative power and comprehensive capabilities of your product. It targets users who prioritize team cohesion, robust feature sets, and a unified platform for all their project management needs, emphasizing shared success.\n\n---\n\n#### Headline (H1)\n\n**\"Unify Your Team. Elevate Every Project Together.\"**\n\n* *Why this works:* Focuses on team benefits (\"Unify Your Team\"), uses an aspirational verb (\"Elevate\"), and emphasizes collective success (\"Together\"). Appeals to a collaborative mindset.\n\n#### Sub-Headline / Supporting Body Text (H2 / First Paragraph)\n\n**\"Bring your team's vision to life with a powerful, all-in-one project management suite. Foster seamless collaboration, track progress effortlessly, and deliver exceptional results, every time.\"**\n\n* *Why this works:* Promotes the \"all-in-one\" aspect, uses stronger descriptors (\"powerful,\" \"seamless collaboration\"), and reinforces the outcome of \"exceptional results.\"\n\n#### Call to Action (CTA) Button Text\n\n**\"Join Your Team – Get Started Now!\"**\n\n* *Why this works:* Creates a sense of belonging (\"Join Your Team\"), implies immediate value, and uses an urgent but welcoming tone.\n\n---\n\n### Implementation Notes\n\nTo ensure the integrity and effectiveness of your A/B test, please adhere to the following guidelines during implementation:\n\n* **Consistency is Key:** Ensure that only the specified content elements (Headline, Sub-headline, CTA) are changed for each variation. All other elements of the page (layout, images, navigation, other body text) must remain identical across both variations.\n* **Tracking:** Verify that your A/B testing tool is correctly configured to track the primary conversion goal (e.g., \"Signup Complete,\" \"Lead Form Submission\") for both variations.\n* **Randomization:** Confirm that traffic is split evenly and randomly between Variation A and Variation B.\n* **Placement:** Implement these content blocks in the most prominent and impactful areas of your [Specify Page/Asset], typically above the fold.\n* **Review:** Before launching, conduct a thorough review of both variations on different devices and browsers to ensure perfect rendering and functionality.\n\n---\n\n### Next Steps & Call to Action\n\nWe encourage you to review these content variations and provide any feedback. Once approved, you can proceed with implementing these variations into your A/B testing platform.\n\n**Your Action:**\n1. **Review:** Carefully examine the content for Variation A and Variation B.\n2. **Approve/Feedback:** Let us know if these variations meet your expectations or if you have any suggestions for refinement.\n3. **Implement:** Upon approval, integrate these content assets into your chosen A/B testing tool and prepare for launch.\n\nWe are confident that these carefully designed content variations will provide valuable insights into your audience's preferences and significantly contribute to optimizing your conversion rates. We look forward to seeing the results!\n\nSincerely,\n\nThe PantheraHive A/B Test Design Team";function phTab(btn,name){document.querySelectorAll(".ph-panel").forEach(function(el){el.classList.remove("active");});document.querySelectorAll(".ph-tab").forEach(function(el){el.classList.remove("active");el.classList.add("inactive");});var p=document.getElementById("panel-"+name);if(p)p.classList.add("active");btn.classList.remove("inactive");btn.classList.add("active");if(name==="preview"){var fr=document.getElementById("ph-preview-frame");if(fr&&!fr.dataset.loaded){if(_phIsHtml){fr.srcdoc=_phCode;}else{var vc=document.getElementById("panel-content");fr.srcdoc=vc?""+vc.innerHTML+"":"

No content

";}fr.dataset.loaded="1";}}}function phCopyCode(){navigator.clipboard.writeText(_phCode).then(function(){var b=document.getElementById("tab-code");if(b){var o=b.innerHTML;b.innerHTML=' Copied!';setTimeout(function(){b.innerHTML=o;},2000);}});}function phCopyAll(){navigator.clipboard.writeText(_phAll).then(function(){alert("Content copied to clipboard!");});}function phDownload(){var content=_phCode||_phAll;if(!content){alert("No content to download.");return;}var fn=_phFname;if(!_phCode&&fn.endsWith(".txt"))fn=fn.replace(/\.txt$/,".md");var a=document.createElement("a");a.href="data:text/plain;charset=utf-8,"+encodeURIComponent(content);a.download=fn;a.click();}function phDownloadZip(){ var lbl=document.getElementById("ph-zip-lbl"); if(lbl)lbl.textContent="Preparing\u2026"; /* ===== HELPERS ===== */ function cc(s){ return s.replace(/[_\-\s]+([a-z])/g,function(m,c){return c.toUpperCase();}) .replace(/^[a-z]/,function(m){return m.toUpperCase();}); } function pkgName(app){ return app.toLowerCase().replace(/[^a-z0-9]+/g,"_").replace(/^_+|_+$/g,"")||"my_app"; } function slugTitle(app){ return app.replace(/_/g," "); } /* Generic code block extractor. Finds marker comments like: // lib/main.dart or # lib/main.dart or ## lib/main.dart and collects lines until the next marker. Also strips markdown fences (\`\`\`lang ... \`\`\`) from each block. */ function extractFiles(txt, pathRe){ var files={}, cur=null, buf=[]; function flush(){ if(cur&&buf.length){ files[cur]=buf.join("\n").trim(); } } txt.split("\n").forEach(function(line){ var m=line.trim().match(pathRe); if(m){ flush(); cur=m[1]; buf=[]; return; } if(cur) buf.push(line); }); flush(); // Strip \`\`\`...\`\`\` fences from each file Object.keys(files).forEach(function(k){ files[k]=files[k].replace(/^\`\`\`[a-z]*\n?/,"").replace(/\n?\`\`\`$/,"").trim(); }); return files; } /* General path extractor that covers most languages */ function extractCode(txt){ var re=/^(?:\/\/|#|##)\s*((?:lib|src|test|tests|Sources?|app|components?|screens?|views?|hooks?|routes?|store|services?|models?|pages?)\/[\w\/\-\.]+\.\w+|pubspec\.yaml|Package\.swift|angular\.json|babel\.config\.(?:js|ts)|vite\.config\.(?:js|ts)|tsconfig\.(?:json|app\.json)|app\.json|App\.(?:tsx|jsx|vue|kt|swift)|MainActivity(?:\.kt)?|ContentView\.swift)/i; return extractFiles(txt, re); } /* Detect language from combined code+panel text */ function detectLang(code, panel){ var t=(code+" "+panel).toLowerCase(); if(t.indexOf("import 'package:flutter")>=0||t.indexOf('import "package:flutter')>=0) return "flutter"; if(t.indexOf("statelesswidget")>=0||t.indexOf("statefulwidget")>=0) return "flutter"; if((t.indexOf(".dart")>=0)&&(t.indexOf("pubspec")>=0||t.indexOf("flutter:")>=0)) return "flutter"; if(t.indexOf("react-native")>=0||t.indexOf("react_native")>=0) return "react-native"; if(t.indexOf("stylesheet.create")>=0||t.indexOf("view, text, touchableopacity")>=0) return "react-native"; if(t.indexOf("expo(")>=0||t.indexOf("\"expo\":")>=0||t.indexOf("from 'expo")>=0) return "react-native"; if(t.indexOf("import swiftui")>=0||t.indexOf("import uikit")>=0) return "swift"; if(t.indexOf(".swift")>=0&&(t.indexOf("func body")>=0||t.indexOf("@main")>=0||t.indexOf("var body: some view")>=0)) return "swift"; if(t.indexOf("import android.")>=0||t.indexOf("package com.example")>=0) return "kotlin"; if(t.indexOf("@composable")>=0||t.indexOf("fun mainactivity")>=0||(t.indexOf(".kt")>=0&&t.indexOf("androidx")>=0)) return "kotlin"; if(t.indexOf("@ngmodule")>=0||t.indexOf("@component")>=0) return "angular"; if(t.indexOf("angular.json")>=0||t.indexOf("from '@angular")>=0) return "angular"; if(t.indexOf(".vue")>=0||t.indexOf("