Rockerbox的封面图片
Rockerbox

Rockerbox

软件开发

Centralized data. Empowered decisions.

关于我们

Rockerbox centralizes advertising data across all media channels to help marketers solve their core challenges—accurately attributing conversions, optimizing media investments, and driving growth. Our products simplify the complexity of multi-channel marketing, enabling large brands to leverage best-in-

网站
https://www.rockerbox.com/
所属行业
软件开发
规模
51-200 人
总部
New York
类型
私人持股
创立
2013
领域
Attribution、Data Centralization、Channel Measurement、Identity Resolution、advertising、analytics、data、marketing performance、performance marketing、marketing measurement、marketing attribution、marketing data、MMM和Incrementality

地点

Rockerbox员工

动态

  • 查看Rockerbox的组织主页

    4,965 位关注者

    Are you getting the most out of your marketing data? A structured, centralized data warehouse allows brands to go beyond surface-level reporting and uncover key drivers of performance—LTV trends, true ROAS, incrementality testing, and more. The challenge isn’t just collecting data, but organizing it in a way that makes decision-making easier, not harder. Join us on March 20 at 2 PM ET for a conversation on how brands are unlocking the full potential of their data warehouses to streamline reporting, improve measurement, and drive smarter investments. Panelists: Omar Elmaghrabi Jethro Perez Save your spot and start making your data work for you. https://lnkd.in/g-Ptkcsu

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  • 查看Rockerbox的组织主页

    4,965 位关注者

    ?? We’re heading to MeasureCamp! ?? On April 5, the Rockerbox team will be at #MeasureCampNY, connecting with data-driven marketers and measurement pros. If you're passionate about attribution, analytics, and making smarter marketing decisions, let's chat! We love the open, collaborative format of MeasureCamp and can’t wait to discuss the latest trends in marketing measurement. ?? Will we see you there? Drop a comment or send us a message to connect! #MeasureCampNY #MarketingMeasurement #Attribution #Rockerbox

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  • 查看Rockerbox的组织主页

    4,965 位关注者

    Data is the backbone of effective marketing, but without the right structure, it’s easy to get lost in the noise. A well-built data warehouse enables brands to move beyond surface-level reporting and uncover critical insights—LTV trends, true ROAS, incrementality testing, and more. On March 20 at 2 PM ET, we’re hosting a discussion on how brands are using data warehouses to centralize and connect their marketing, product, and financial data to improve decision-making. Panelists: Omar Elmaghrabi Jethro Perez Join us to learn how you can unlock the full potential of your data and drive smarter investments. Register here: https://lnkd.in/g-Ptkcsu

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  • 查看Rockerbox的组织主页

    4,965 位关注者

    Marketing data is only as valuable as the action it drives. Too many brands invest in analytics and measurement but then struggle to translate insights into action. That’s because they’re often stuck in a siloed measurement approach, relying on one methodology at a time instead of leveraging multiple models together. A strong measurement strategy should do three things: ? Help marketers optimize campaigns in real-time. ? Guide long-term budget allocation decisions. ? Validate assumptions with ground-truth insights. This is why more brands are shifting towards Unified Measurement, combining: ?? MTA for granular channel performance tracking. ?? MMM for strategic, long-term planning. ?? Incrementality testing for causal impact validation. ?? But here’s the real challenge: Getting teams aligned. ?? Marketing, Finance, and Analytics often speak different data languages, leading to confusion around KPIs like ROAS, CAC, and LTV. If your teams aren’t aligned on what success looks like, you’re already behind. ?? Pro tip: Start by aligning on a unified KPI framework that balances short-term optimization with long-term growth. Make sure every KPI ties directly to a business objective—if it doesn’t, why are you tracking it? Your measurement strategy should be actionable, adaptable, and connected to business impact. Otherwise, it’s just numbers on a dashboard. What’s the biggest measurement challenge your team is facing right now? Let’s discuss.?? #MarketingAnalytics #DataDrivenMarketing #Attribution #MarketingStrategy #MarketingMixModeling #IncrementalityTesting

  • 查看Rockerbox的组织主页

    4,965 位关注者

    Your marketing data is only as valuable as the insights you can extract from it. A structured, centralized data warehouse enables brands to go beyond surface-level reporting and uncover real drivers of performance—LTV trends, true ROAS, incrementality testing, and more. The key? Bringing all your marketing, product, and financial data together in a way that makes decision-making easier, not harder. That’s exactly what we’re covering on March 20 at 2 PM ET—how brands are unlocking the full potential of their data warehouse to streamline reporting, improve measurement, and drive smarter investments. Join us for this discussion and learn how to make your data work harder for you. ?? Save your seat https://lnkd.in/g-Ptkcsu #MarketingData #DataWarehouse #MarketingInsights #MarketingStrategy

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  • 查看Rockerbox的组织主页

    4,965 位关注者

    For years, last-click attribution has been the default for measuring marketing performance. It’s simple, it’s accessible, and finance teams love it. But as marketing channels multiply and the customer journey becomes more complex, last-click alone just doesn’t cut it anymore. Last-click isn’t wrong—but it’s wildly incomplete. It gives 100% of the credit to the final touchpoint while ignoring everything that came before it. This has led brands to overinvest in lower-funnel tactics while undervaluing brand-building and demand-gen efforts. That’s why the shift towards Unified Measurement is happening. Instead of relying on a single model, leading brands are blending Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and Incrementality Testing to get the full picture of what’s driving growth. ?? MTA helps optimize spend in real-time by showing how each touchpoint contributes to conversions. ?? MMM provides a high-level view of long-term performance, helping brands understand how channels (including offline) impact revenue. ?? Incrementality testing validates assumptions and ensures brands aren’t making decisions based on flawed data. The best brands aren’t choosing one model over another. They’re leveraging all of them together, with each methodology informing the other. If your team is still defaulting to last-click, it’s time to rethink your approach. Where do you see brands getting stuck in moving beyond last-click? Drop your thoughts in the comments. ?? #MarketingMeasurement #Attribution #UnifiedMeasurement #MMM #IncrementalityTesting #MarketingStrategy

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