G2

Marianna L.

Digital marketing analyst

Mid-Market (51-1000 emp.)

9/28/2026

"Smooth, Intuitive platform for Seamless Multi-Source Ad Spend Tracking"

4.5/5

What do you like best about Funnel?

What I value most about Funnel is the Data Explorer, which I use regularly. UI/UX & Ease of Use: The interface feels smooth and intuitive. Setting up custom rules for dimensions, metrics, and filters is very quick and straightforward, saving me hours of manual data setup. Integrations: Connecting different data sources is seamless. It lets me centralize everything and monitor cross-platform advertising costs in near real time. Performance & Workflow Improvement: Having instant visibility into multi-channel spend has significantly improved my day-to-day reporting workflow and made my decision-making more efficient. Pricing / ROI: The amount of time saved on data aggregation, along with the accuracy of budget tracking, makes Funnel well worth the investment. Support & Features: The data-mapping capabilities and automated rules feel smart and dependable, helping ensure accurate data with minimal friction. Review collected by and hosted on G2.com.

What do you dislike about Funnel?

Performance with large date ranges & granular data: When querying or loading data with granular details (such as campaign names, ad set level details, etc.) over an extended date range, performance can slow down and queries take longer to load. Pricing: The platform can be a bit expensive. While it delivers strong value and saves a lot of time, the pricing model might be a bit steep for smaller teams or businesses with lower ad spend. Review collected by and hosted on G2.com.

What problems is Funnel solving and how is that benefiting you?

Near Real-Time Cost & Budget Control: Instead of logging into dozens of individual ad platforms (Google Ads, Meta, TikTok, etc.), Funnel centralizes all spend data. This gives me a complete, near real-time overview of costs across all channels, making budget management much easier and more precise. Data Normalization & Standardization: It eliminates mismatched naming conventions across platforms. With custom dimension and metric rules, I can easily map and standardize data into a unified structure. Time Savings & Error Reduction: Automating data extraction and transformation removes the need for manual spreadsheet exports, saving hours of tedious work every week and eliminating human error. This allows me to focus on strategic analysis rather than data gathering. Review collected by and hosted on G2.com.