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Updated 3 Days Ago
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Supermetrics helps marketers pull data from over 150 sources into preferred tools. It simplifies blending, transforming, and enhancing data, making it ready for analysis. Marketers can then visualize and act on insights using platforms like Google Sheets and Power BI. It’s about making marketing data manageable and actionable.
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SuperMetrics's Website Claims...
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Accurate, real-time insights
Supermetrics claims that they streamline marketing and sales data from every platform into one single source of truth, allowing accurate, real-time insights to make smarter decisions.
Granular marketing data
Supermetrics claims that they help you pull granular marketing data from all the marketing sources that matter to you across 150+ platforms.
Cost-effective maintenance
Supermetrics claims that their solution is 80% less expensive to maintain compared to building your own integrations, saving you tens of thousands of pounds/dollars per year.
BlurbSTAR Case Study
Supermetrics & Swappie
Swappie improved ROAS by 15% using Supermetrics and MMM.
15%
Improvement in Return on Advertising Spend (ROAS)
800
Number of employees at Swappie in 2016
1.
Situation
Swappie, a leading platform for buying and selling refurbished phones, was using Funnel as its data pipeline provider but found it insufficient and costly. They needed a more efficient solution as they were redesigning their marketing data architecture.
2.
Task
Swappie aimed to implement Marketing Mix Modeling (MMM) to better measure advertising impact and optimize budget allocation, needing a robust data pipeline and effective analytics platform.
3.
Action
Swappie switched from Funnel to Supermetrics due to better pricing and developer experience. Supermetrics automated data collection for MMM, feeding data into Google Cloud's BigQuery for transformation and analysis, integrating seamlessly with offline data sources and Vertex AI for machine learning.
4.
Result
Swappie's use of Supermetrics and MMM led to a 15% improvement in Return on Advertising Spend (ROAS). They could simulate investment scenarios, identify efficient channels, predict diminishing returns, and optimize budget allocation. Data quality, automation, and iteration were crucial for their success.
Keywords
MARKETING MIX MODELING
SUPERMETRICS
GOOGLE CLOUD
BIGQUERY
VERTEX AI
DATA PIPELINE
ROAS IMPROVEMENT
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