Best Budget Refinement Tools for Ecommerce Growth
How to decide where an ecommerce brand's marketing budget goes: why last-click attribution and media mix modeling can mislead, and a comparison of the tools available.
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By Joris van Huët, Founder & CEOUpdated 2 min read
Best Budget Refinement Tools for Ecommerce Growth
For ecommerce brands, budget refinement is a constant challenge. How do you know where to invest your next dollar for maximum impact? How do you avoid wasting money on channels that aren't driving results? This guide will help you choose the best budget refinement tool for your business.
The Problem with Traditional Budget Refinement
Traditional budget refinement methods, like last-click attribution and media mix modeling, can be misleading. They often over-credit bottom-of-the-funnel channels and under-credit top-of-the-funnel channels.
Causal inference, on the other hand, can determine the incremental lift of each channel, showing you what would have happened if you hadn't invested in it.
Comparison of Budget Refinement Tools
| Tool | Methodology | Key Features | Pricing | Verdict |
|---|---|---|---|---|
| Black Crow AI | Predictive AI | Predictive audiences, customer LTV prediction, churn prediction | Contact for quote | a useful tool for predicting customer behavior, but not focused on budget refinement. |
| Varos | AI-powered budget allocation | Automated budget allocation, performance forecasting, scenario planning | Contact for quote | A good option for brands that want to automate their budget allocation. |
| Northbeam | Ecommerce Analytics | LTV analysis, cohort analysis, marketing attribution | Starts at $500/month | A popular choice for DTC brands, but its budget refinement recommendations are based on correlation, not causation. |
| Triple Whale | Ecommerce Analytics | LTV analysis, cohort analysis, marketing attribution | Starts at $100/month | A popular choice for Shopify brands, but its budget refinement recommendations are based on correlation, not causation. |
Causality Engine
Causality Engine uses causal inference on the GA4 history you already have to estimate what each channel caused.
Related Resources
ecommerce Growth Planning Template with Attribution Framework
Frequently asked questions
How can I avoid wasting money on advertising?
To avoid wasting money on advertising, you need to be able to measure the true incremental impact of your campaigns.What is the difference between budget optimization and budget allocation?
Budget allocation is the process of assigning your budget to different channels, while budget optimization is the process of continuously adjusting your budget to maximize your return on investment.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal InferenceCausal inference is the set of methods for estimating how much an outcome changes because of a cause, rather than alongside it. It works by comparing what happened with an estimate of what would have happened without the cause.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- CausationCausation is the relationship where a change in one variable directly causes a change in another.
- CorrelationCorrelation is a statistical measure showing a relationship between variables; it does not imply causation.
- Marketing AttributionMarketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.
- Media Mix ModelingMedia Mix Modeling is a statistical technique that measures the collective impact of marketing and advertising on sales. It uses historical data to inform budget allocation.