Optimize media spend and forecast marketing performance with 96% accuracy using AI-driven reporting and competitor benchmarking for brands and agencies.
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ASK BOSCO® is an AI-driven marketing analytics and reporting platform designed to help digital marketing agencies and brands unify their disparate data sources. It serves as a centralized hub for ecommerce and marketing information, effectively removing the reliance on manual spreadsheets and fragmented data silos. By integrating with various third-party tools and platforms, it provides a comprehensive "single source of truth" that allows users to monitor real-time performance across multiple channels, including social media, search engines, and ecommerce storefronts. The core of the platform lies in its use of advanced machine learning and predictive analytics to generate high-accuracy performance forecasts. One of its primary functionalities is the ability to suggest optimal media spend allocations, claiming a 96% accuracy rate for cross-channel campaign predictions. Beyond forecasting, the tool automates the repetitive task of report generation, which can significantly reduce the administrative burden on marketing teams. It also includes features for competitor benchmarking, allowing businesses to evaluate their performance against industry rivals within the same dashboard. This platform is particularly suited for performance marketing agencies, ecommerce retailers, and lead generation businesses that handle large volumes of data. Agencies can leverage the tool to manage complex client portfolios and deliver more precise ROI expectations, while ecommerce managers can use the insights to cut down on inefficient media spend, which the company estimates can be reduced by up to 25%. Because the interface is built to be no-code, it is accessible to media buyers and account managers who may not have a background in data science or programming. What distinguishes ASK BOSCO® from other analytics tools is the expertise of its founding team and its social impact model. The platform was developed by seasoned ecommerce practitioners and data scientists, including a PhD in statistics and a co-founder of the travel search engine Skyscanner. This ensures that the underlying algorithms are grounded in rigorous statistical methods. Furthermore, the company operates with a philanthropic mission, donating a percentage of its annual profits to the 1moreChild orphanage in Uganda, aligning its business growth with social responsibility.
Is ASK BOSCO® free? No, ASK BOSCO® doesn't offer a free plan.
Price varies
No coding or advanced technical skills are required to use the platform. It is designed with an easy-to-use interface so that marketing teams can start consolidating data and generating reports effortlessly.
ASK BOSCO® leverages AI and predictive analytics to deliver insights with 96% accuracy for cross-channel campaign forecasting. This allows media buyers to plan budgets and forecast future performance with high precision.
The platform is specifically built for digital marketing agencies, ecommerce brands, and lead generation businesses. It helps these organizations reduce wasted marketing spend by up to 25% through optimized media allocation.
Yes, it connects and consolidates data from multiple campaigns and channels into a single source of truth. It integrates with dozens of common marketing and ecommerce tools to eliminate manual spreadsheet management.
Benefits:
4-day week
23 days annual leave
health insurance
discounted Apple Watch
discounted gym membership
Other Requirements:
At least two days a week in the Leeds office
Comfortable in the company of our well behaved office dog, Roxy
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Experience Requirements:
6+ years’ experience building production-grade data pipelines
Deep expertise in DBT
Strong SQL skills
Experience delivering Star Schemas
Hands-on experience with Google Cloud Platform (BigQuery)
Other Requirements:
Python experience is a strong plus
Git knowledge is a strong plus
Experience with SaaS and marketing data sources
Familiarity with AI-assisted development tools
A passion for debugging complex data issues
Responsibilities:
Manage and optimise our end-to-end data infrastructure and ELT pipelines
Develop, test, and maintain complex DBT models
Bridge the gap between data and visualisation
Drive the continuous improvement of our data engineering practices
Mentor junior engineers and collaborate with Data Scientists
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