Optimising for Traffic

Optimising for Traffic

Optimising for Traffic

Increase organic traffic and improve lead conversions

Methods

  • Workshops

  • Keyword Research

  • UX Research

Stakeholders

  • Product team

  • Marketing team

  • Senior Leadership

Year

2022

Service

Commercial

Location

India

The metrics

Key Result

5x

Increase in conversion rates within 6 months.

3x

Growth in organic traffic within 6 months.

Why?

Outlining the Problem

SaaS Platform Z’s existing product landing pages were underperforming in terms of both traffic and user engagement. Challenges included:

  • Ineffective use of keywords, resulting in low search engine rankings.

  • High bounce rates (55%) and low session duration.

  • Lack of compelling CTAs, which hindered lead generation.

  • Outdated design and layout, leading to poor user experience.

How?

The Approach

The project involved revamping all the product landing pages. This case study focuses on one page: the "SMS Automation" landing page.

Step 1: Research and Audit
  • Conducted an SEO audit using tools like Ahrefs and SEMrush to identify:

  • Underutilized high-value keywords.

  • Competitor strategies for top-ranking pages.

  • Analyzed user behavior through heatmaps and session recordings to pinpoint drop-off areas.

  • Benchmarked metrics:

    • Bounce Rate: 56%

    • Session Duration: 0:18 min

    • CTR: 3.1%

Step 2: Content Strategy
  • Selected 10 high-value keywords relevant to SMS automation, including:

  • "text message automation"

  • "automated texting software"

  • "best SMS automation tools"

  • Created a content structure focusing on:

    • Clear headlines and subheadings optimized for keywords.

    • Detailed feature explanations with user-centric language.

    • Testimonials and case studies for social proof.

Step 3: Design and UX Improvements
  • Introduced a modular layout with clear sections:

    • Hero Section: Strong headline ("Streamline Your SMS Automation") with a clear CTA.

    • Feature Highlights: Icons and short descriptions for key features.

    • Customer Success Stories: Real-world examples to build trust.

    • Pricing Comparison Table: Transparent plans for easy decision-making.

  • Improved readability with optimized typography and whitespace.

Step 4: Technical SEO Enhancements
  • Implemented schema markup for FAQs and reviews.

  • Optimized page loading speed by compressing images and reducing render-blocking scripts.

  • Built internal links to drive traffic to other related pages.

The impact

Results

The "SMS Automation" landing page showed significant improvement across key metrics:

Key Learnings

Key Takeaways

  1. User-Centric Design Increases Engagement: Improved layout and readability enhanced user experience, reducing bounce rates and increasing session duration.

  2. Data-Driven Iteration Ensures Success: Leveraging analytics and user behavior insights resulted in focused improvements.

  3. Content Optimization Drives Traffic: Strategically using high-value keywords and engaging copy improved SEO rankings and CTR.

KPIs
Organic Traffic Growth:
  • Traffic increases significantly over time due to SEO improvements, with a notable jump in sessions after optimization.

Click-Through Rate (CTR) Improvement:
  • Optimizing titles, meta descriptions, and rich snippets leads to a higher CTR (e.g., from 2.5% to 7.2%).

Bounce Rate Reduction:
  • Engaging, relevant content and a better user experience help reduce bounce rates (e.g., from 60% to 40%).

Increased Session Duration:
  • SEO optimizations like improved content quality and internal linking result in users spending more time on the page (e.g., from 1:30 min to 3:10 min).

These stages show the impact of SEO efforts over time. SEO typically shows gradual improvement, with some quicker wins (e.g., CTR, minor keyword ranking gains) and longer-term growth in organic traffic and engagement (e.g., bounce rate reduction, session duration increase).

Keywords derived from scrutinizing high-ranking landing pages on Ahrefs.

(keywords that were used are marked in green, we had aimed to used 15-20 that fit into the content organically instead of keyword spamming)

Next

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Crafting a Customer Journey Roadmap for Users of Retail Media Analytics in an Application

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