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    Funnel Marketing Intelligence Platform

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    Sold by: Funnel 
    Deployed on AWS
    The trusted marketing intelligence platform, centralizes data from 600+ sources, ensuring clean, reliable data that delivers clear, actionable marketing insights.
    4.5

    Overview

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    Funnel is the marketing intelligence platform that transforms complex marketing data into trusted, business-ready insights. With integrations to 600+ platforms, Funnel centralizes and harmonizes data, empowers marketers to create dashboards and reports without code, and supports advanced measurement, activation, and budget optimization. Whether you need a single source of truth, streamlined reporting, or stronger campaign performance, Funnel helps you unlock more value from your marketing investments.

    To tailor your account to your specific needs and receive a private offer, please contact aws-marketplace@funnel.io . For more information, visit https://funnel.io 

    Highlights

    • Marketing Data Integration Connect, collect, and harmonize data from 600+ platforms with a marketing-ready model that ensures accuracy and consistency. Funnel's Data Hub not only automates transformations but also enforces naming conventions and taxonomy standards, giving teams reliable governance, audit capabilities, and higher data quality, making your data governed, trusted, and ready for any marketing use case.
    • Actionable Insights & Reporting Made for marketers, built for insights, Funnel lets you create clear, customizable dashboards and automated reports in minutes. Build from scratch or use prebuilt templates, tailor layouts with drag-and-drop ease, and securely share insights with colleagues or clients, giving teams fast, reliable clarity to track performance and make confident, data-driven decisions.
    • Advanced Measurement & Optimization Go beyond reporting with advanced measurement tools, including marketing mix modeling, digital attribution, and incrementality testing, enhanced by AI-driven recommendations. Funnel reveals the true drivers of performance and delivers proactive guidance to adjust spend and maximize ROI, helping businesses continuously improve media efficiency and accelerate sustainable growth.

    Details

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    Delivery method

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Funnel Marketing Intelligence Platform

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Subscription plan
    Determines which functionality, capacity and products are available
    $200,000.00

    AI Insights

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    Dimensions summary

    You buy this platform through a single contract dimension: a Subscription plan measured in units. The plan you select sets which functionality, data capacity, and products you can access. Pricing scales with the capacity you choose, so a larger subscription gives you more usage room. You can add capacity to your plan over time as your needs grow. Some measurement and modeling products are available as add-ons rather than being included by default. Because the listing offers one plan dimension, the unit count you commit to is the main lever that shapes your price.

    Top-of-mind questions for buyers

    Flexpoints measure the capacity of your subscription. They are consumed by features like connectors, data sources, visualization destinations, data warehouse destinations, and connected conversion platform accounts. Your plan sets which functionality is available, while flexpoints set how much of that functionality you can use.
    No. Charges do not scale with data volume or number of rows. Cost is driven by your subscription plan and the flexpoint capacity you commit to, not the amount of data flowing through the platform. Connected accounts and destinations consume capacity, not raw data size.
    You start with a set amount of flexpoints. If you need more capacity, you can add flexpoints to your plan at any time, either through the sales team or inside the platform. Adding capacity does not require switching to a different plan.
    funnel.io
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    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    4.5
    212 ratings
    5 star
    4 star
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    1 star
    71%
    26%
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    0 AWS reviews
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    212 external reviews
    External reviews are from G2 .
    Leith G.

    Seamless Cross-Platform Integration That Feels Native

    Reviewed on Sep 21, 2026
    Review provided by G2
    What do you like best about the product?
    The integration across platforms in media and it can all link to a spreadsheet and look native
    What do you dislike about the product?
    The various sources and connections can be cumbersome in the interface
    What problems is the product solving and how is that benefiting you?
    Reporting and analysis. Funnel is able to quickly report back figures to clients
    Nic P.

    Unmatched Speed and Ease for Loading and Extracting Data with Funnel

    Reviewed on Sep 21, 2026
    Review provided by G2
    What do you like best about the product?
    The ease of use. We tried many other tools before that offer the same functionality, but the speed and ease of loading and extracting data with Funnel is unmatched.
    What do you dislike about the product?
    Custom connectors have been a challenge.
    What problems is the product solving and how is that benefiting you?
    Data extraction, warehousing and importing into our data visualization tools.
    Kathryn B.

    Straightforward UX That Streamlines Cross-Channel Reporting

    Reviewed on Sep 21, 2026
    Review provided by G2
    What do you like best about the product?
    The UX is very straightforward and easy to use. It has significantly improved efficiency and saved me hours of work by letting me create dimensions and metrics directly in the Funnel platform, rather than adding new fields in Google Looker Studio.

    The integrations also make it simple to view combined, holistic performance across channels and ad accounts in a streamlined way. This saves a lot of time when compiling weekly, monthly, quarterly, or yearly reports, and it has helped strengthen our overall reporting capabilities.

    It also is very easy to onboard clients and troubleshoot data when needed.
    What do you dislike about the product?
    The flexpoint cost structure is sometimes difficult to work with. It often feels like everything uses more flexpoints than initially stated, and we’re constantly running out of space given how robust we want our data solutions to be.

    At times, we feel forced to cut corners to avoid using too much of our flexpoint availability. For example, we may consolidate manual data sources into one Google Sheet even when the data isn’t related, or connect GA4 (or other web data sources) directly to Google Looker instead of routing through Funnel just to save space. It’s also challenging that we have to connect the same data source multiple times to view different cuts of the data—this is especially true for platforms like Google Ads or Microsoft Ads where we have different connects for P. Max v. Search campaigns etc.
    What problems is the product solving and how is that benefiting you?
    For a long time, we struggled to view combined performance across accounts and were forced to look at everything on a channel-by-channel basis. This also made it difficult to review performance trends and year-over-year insights, since we were limited to only one data source at a time. Funnel has greatly improved the value of the insights we deliver to clients, reducing the time my team spends gathering data and pulling insights, while also strengthening client relationships because the insights are more actionable and proactive.
    Rajtilak P.

    Centralized Marketing Data Pipelines to BigQuery—Easy, Automated ETL with Funnel

    Reviewed on Sep 21, 2026
    Review provided by G2
    What do you like best about the product?
    The best part about Funnel is that I can connect so many marketing data sources in one place and run ETL—like data engineers do—without needing much data engineering domain knowledge, and I can also push the data to BQ. What makes Funnel stand out is its ability to centralize and automate complex data pipelines without requiring heavy data engineering bandwidth. Connecting disparate marketing platforms—like Google Ads, Meta, TikTok, and LinkedIn—takes just a few clicks using their pre-built integrations. The automated ETL workflow automatically handles custom dimension mapping and currency normalization, pushing clean, real-time data directly to BigQuery and Looker Studio. Their intuitive UI/UX allows non-technical team members to manage custom metrics easily, while the automated error-handling keeps our dashboards reliable without daily troubleshooting.
    What do you dislike about the product?
    While the core functionality is strong, the initial pricing structure can feel step-up expensive for smaller teams or agencies scaling their data destinations gradually. Additionally, while the standard connectors are seamless, setting up heavily customized custom API connectors or highly unique custom metrics occasionally requires a minor learning curve or assistance from their support team during initial onboarding.
    What problems is the product solving and how is that benefiting you?
    Funnel solves the operational bottleneck of manual data aggregation across multiple ad platforms and analytics tools. Before using Funnel, our team spent hours manually exporting CSVs, aligning schemas, and running manual SQL scripts to feed our data warehouse.

    Key Benefits & ROI:

    Saved Time: Cuts out 10+ hours per week of manual data preparation and data engineering maintenance.

    Data Reliability: Eliminates human error in currency conversion, attribute mapping, and reporting schema setup.

    Actionable Insights: Enables real-time cross-channel marketing reporting in BigQuery and BI tools, leading to faster campaign optimizations and higher return on ad spend (ROAS).
    Adam S.

    Saves Time by Consolidating All Our Business Data in One Place

    Reviewed on Sep 21, 2026
    Review provided by G2
    What do you like best about the product?
    Saves us a lot of time when we are able to consolidate all of our business data in one place.
    What do you dislike about the product?
    Sometimes the interface can be a bit clunky.
    What problems is the product solving and how is that benefiting you?
    It helps us to keep our data in the same place and makes our data analysis more efficient.
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