Google Ads for an online store of vitamins and dietary supplements
Contextual Advertising
Client: Online store specializing in vitamins and dietary supplements.
Goal: Optimize advertising campaigns to increase conversions and advertising cost efficiency by testing different creatives, audiences, and campaign formats.
Strategy:
1) Development of creative briefs for designers considering the specifics of the products.
2) Setting up conversion events focusing on lead generation and purchases.
3) Conducting A/B tests to identify the most effective strategies.
4) Optimizing campaigns based on performance data.
5) Daily and weekly reports to track effectiveness and adjust strategies.
Results:
Campaign 1: Performance Max / A (26.06.2024)
1) Conversions: 10
2) Cost per conversion: 196 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Campaign 2: Merchant (28.06.2024)
1) Conversions: 4
2) Cost per conversion: 159 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Campaign 3: Performance Max / B (28.06.2024)
1) Conversions: 4
2) Cost per conversion: 497 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Conclusions:
1) Performance Max / A showed the best results with optimal conversion and cost metrics.
2) Performance Max / B proved to be less effective due to weaker creatives, highlighting the need for additional audience testing.
3) The Merchant campaign showed potential but requires optimization for scaling.
Client feedback:
The client was satisfied with the testing results as they gained a clear understanding of which campaigns work best and which should be scaled. Based on the data obtained, it was determined that high-impact advertising campaigns require an increased budget for further growth.
Goal: Optimize advertising campaigns to increase conversions and advertising cost efficiency by testing different creatives, audiences, and campaign formats.
Strategy:
1) Development of creative briefs for designers considering the specifics of the products.
2) Setting up conversion events focusing on lead generation and purchases.
3) Conducting A/B tests to identify the most effective strategies.
4) Optimizing campaigns based on performance data.
5) Daily and weekly reports to track effectiveness and adjust strategies.
Results:
Campaign 1: Performance Max / A (26.06.2024)
1) Conversions: 10
2) Cost per conversion: 196 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Campaign 2: Merchant (28.06.2024)
1) Conversions: 4
2) Cost per conversion: 159 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Campaign 3: Performance Max / B (28.06.2024)
1) Conversions: 4
2) Cost per conversion: 497 UAH
3) CPC: 6.08 UAH
4) CTR: 1.09%
5) Total expenses: 4,350 UAH
Conclusions:
1) Performance Max / A showed the best results with optimal conversion and cost metrics.
2) Performance Max / B proved to be less effective due to weaker creatives, highlighting the need for additional audience testing.
3) The Merchant campaign showed potential but requires optimization for scaling.
Client feedback:
The client was satisfied with the testing results as they gained a clear understanding of which campaigns work best and which should be scaled. Based on the data obtained, it was determined that high-impact advertising campaigns require an increased budget for further growth.