Case Study #1

Google Ads Campaigns Performance Results

Google Ads snapshot showing campaign performance results

Project Overview

These are all-time statistics for a current client. The duration of this project was 7.26.18 - 1.2.20. The client hired us to build, manage, maintain, and optimize their SEM campaigns and account.

Some key project details

  • $395,197.80 in total managed ad spend
  • $56,456.82 total average monthly ad spend
  • $13.92 average cost per conversion
  • 28,319 total conversions
  • 493 total phone call conversions

Case Study #2

Google Ads Campaigns Performance Results

Google Ads snapshot showing campaign performance results

Skills

Growth hacking | Sales Optimization | Media buying | Google adwords

Project Description

Objectives:

  • Optimize the spend (improve CPA – cost per acquisition)
  • Scale the campaigns

Areas of improvement (main):

  • Keywords were intent-based grouped and pointed to the relevant content pages
  • Budget was allocated to drive more effective results
  • Bid strategy was revised to ensure the max return on spend
  • Lookalike (similar) audience, device, hour of day/day of week, etc. bid adjustments were applied to lower CPA
  • Campaigns were scaled by increasing CTR (click-through-rate) and by adding more short- and long-tale keywords

Results:

  • CPA (Cost / conv.) decreased by over 40%
  • The number of conversions increased by over 300%

Industry: Travel (tours)

Case Study #3

Google Ads results showing Ecommerce Scaling and Growth

Google Ads (AdWords) results showing Ecommerce Scaling and Growth

Project Description

Objectives:

  • Primary: grow sales (scaling)
  • Secondary: optimize (lower) CPA (Cost / conversion), where possible

Main areas of improvement:

  • New target audience were identified which allowed to increased reach (build awareness/top of the funnel)
  • Remarketing tactics to push users down the conversion funnel were introduced and fine tuned
  • Existing ads were improved to increased CTR (click-through-rate) which allowed to increase sales from existing target audience
  • Data-driven optimizations were made to control the CPA (Cost / conversion)

Results:

  • Conversions were increased by over 45%
  • CPA (Cost / conversion) was lowered by over 10%

Industry: Retail (ecommerce)