About the Project

Lead Generation A/B Testing Analysis for Enhanced Conversion Rates

Role
Performance marketing
Interaction Analysis

Client
K2 Partnering Solutions

Introduction

Objective:

The primary goal of this project was to optimize digital ad spend to maximize ROI and enhance the conversion rates for the company.

Scope

Managed a comprehensive digital marketing campaign spanning various platforms including Google Ads and LinkedIn Ads, targeting specific B2B segments.

Campaign Overview

Designed a multi-channel approach leveraging both paid search and social media advertising to engage our targeted demographic.

1

Target Audience

The campaign targeted middle to large-scale enterprises within the tech sector, focusing on decision-makers and influencers in purchasing roles.

2

Execution

Timeline

3

Budget and Resources

Allocated a budget of $100,000 with a strategic split across platforms based on historical performance data.

Data Points for the Timeline:

  1. Start of Campaign: October 25, 2024

  2. Introduction of New Creative Strategies: Bi-weekly intervals starting from the campaign launch

  3. Mid-Campaign Budget Reallocation: Mid-November, when insights showed LinkedIn Ads outperforming Google Ads

  4. End of Campaign: Jan 31, 2025

Campaign Design Art-Work

Strategy

B2B

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B2C

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Total Spend Over Time

Budget was spent over the campaign period

99 days

$3,000.00 spent

Data Insights

Analysis revealed that LinkedIn Ads drove 60% higher engagement among decision-makers compared to Google Ads, influencing a mid-campaign budget reallocation.

RESULTS

Impressions and Clicks Over Time

Trends in visibility and user engagement

Performance Metrics

307356 total Impressions

86% CTR

Overall Impact

The campaign generated a
35% increase in leads and a
20% increase in conversion rate, significantly exceeding performance benchmarks.

Challenges

Faced initial challenges with ad fatigue, which we mitigated by introducing fresh creatives bi-weekly.

ROI Analysis

Achieved a return on ad spend (ROAS) of 120%, translating into an estimated revenue increase of $300,000.

NEXT STEPS

Improvements

Recommend implementing more granular audience segmentation to further enhance ad relevance and engagement.

Future Strategy

Plan to explore advanced machine learning algorithms for predictive bidding in future campaigns.