smartboost

挑战

Smartboost worked with a subscription-based software client, aiming to lower their CPA while increasing customer acquisition. The company's CPA started at $9.06. We created a custom plan to optimize the client's budget and improve their acquisition strategies through growth marketing.

解决方案

Our strategy to achieve the client's goal of reducing CPA involved growth hacking tactics to analyze user conversion keywords and app usage patterns. This enabled us to identify the optimal channel to focus on and transition from a comprehensive marketing approach to a sprint marketing focus.

成果

Our implementation of a sprint marketing approach resulted in explosive growth and cost optimization for the client. Within six months, the strategy reduced the client's CPA from $9.06 to $0.12, while optimizing for paid users by 96%. *Budget is shown as zero for confidentiality

挑战

Smartboost's goal was to increase organic traffic for our shipping logistics client. The biggest challenge was with their website, which had an outdated interface, minimal relevant content, and misaligned high-performing content.

解决方案

Smartboost immediately implemented growth marketing tactics such as optimized SEO, content marketing, and CRO. After updating the website homepage based on user data, we focused on re-optimizing blogs and landing pages to drive customer to their services.

成果

We increased the number of organic traffic by 588%. Monthly users went up from 5,800 to 31,227 in just 12 months. We also increased the number of monthly Marketing Qualified Leads from 15 to 36, and the number of Sales Qualified Leads from 13 to 31. *budget shown as zero for confidentiality

挑战

Our client, a global procurement software provider, needed to increase brand awareness and lead generation in the North American market. The main challenges were the lack of a defined content strategy, the differences in users’ online behavior between continents, and slow ranking of key words.

解决方案

Smartboost implemented a data-driven SEO strategy based on a predictive search ranking machine learning model to increase organic traffic through multiple SEO tactics. The goal was to get more traction from organic search to be able to generate more sustainable traffic and revenue.

成果

After 12 months, overall website traffic increased by 122%, going from 4,401 website users to 9,792. Organic traffic rose by 33%, resulting in an increase in organic lead generation by 93%.