About Zoomph

Zoomph offers an AI-powered analytics platform that measures partnership performance across social and broadcast media. It provides granular data on brand exposures, audience engagement, and ROI, enabling clients to optimize sponsorship strategies and reporting.

<problem> Brands, sports properties, and agencies face challenges in accurately quantifying the value and impact of their partnerships across social media and broadcast channels. Traditional methods often lack the granularity to measure specific brand exposures, audience engagement, and return on investment (ROI) effectively. This makes it difficult to optimize sponsorship strategies and demonstrate value to stakeholders. </problem> <solution> Zoomph provides an AI-powered analytics platform designed to measure partnership performance across social media and broadcast media. The platform leverages advanced logo detection and automated content recognition (ACR) to identify brand exposures and analyze audience engagement. It offers granular data on social media metrics, broadcast viewership, and audience demographics, enabling clients to understand campaign effectiveness and optimize their sponsorship investments. Zoomph aims to deliver data-driven insights that simplify reporting and inform strategic decision-making for maximizing partnership ROI. </solution> <features> - AI-powered logo detection for identifying brand presence in images and video content across social and broadcast media. - Automated Content Recognition (ACR) technology for analyzing broadcast viewership and partnership exposures. - Comprehensive social media analytics covering exposure, engagement, valuation, and audience growth metrics across platforms like X, Instagram, Facebook, TikTok, YouTube, and Twitch. - Social listening capabilities to track keywords, mentions, and hashtags for earned media analysis. - Broadcast data integration from 40 million devices and 32 million households, utilizing traditional cable data and ACR. - Partnership valuation metrics that quantify the equivalent paid media value of social content and broadcast exposures. - Audience insights derived from a database of over 350 million social profiles to understand consumer interests and demographics. - Benchmarking tools to compare performance against industry peers, competitors, and market trends. - Customizable reporting dashboards and data export functionalities for streamlined analysis and stakeholder communication. - API access for integrating Zoomph's data and analytics into existing workflows and platforms. </features> <target_audience> The primary target audience includes brands, sports teams and leagues, agencies, and universities seeking to measure and optimize their sponsorship activations and media partnerships. </target_audience> <revenue_model> Revenue is generated through subscription-based access to the Zoomph platform, with tiered offerings likely based on data volume, feature access, and client size. </revenue_model>

What does Zoomph do?

Where is Zoomph located?

Zoomph is based in Reston, United States.

When was Zoomph founded?

Zoomph was founded in 2016.

How much funding has Zoomph raised?

Zoomph has raised 50000.

Location

Reston, United States

Founded

2016

Funding

50000

Employees

53 employees

Major Investors

Comcast NBCUniversal SportsTech

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Zoomph

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Executive Summary

zoomph.com 7K+

Crunchbase

Founded 2016 – Reston, United States

Funding

Estimated Funding

Major Investors

Comcast NBCUniversal SportsTech

Team (50+)

No team information available.

Company Description

Problem

Brands, sports properties, and agencies face challenges in accurately quantifying the value and impact of their partnerships across social media and broadcast channels. Traditional methods often lack the granularity to measure specific brand exposures, audience engagement, and return on investment (ROI) effectively. This makes it difficult to optimize sponsorship strategies and demonstrate value to stakeholders.

Solution

Zoomph provides an AI-powered analytics platform designed to measure partnership performance across social media and broadcast media. The platform leverages advanced logo detection and automated content recognition (ACR) to identify brand exposures and analyze audience engagement. It offers granular data on social media metrics, broadcast viewership, and audience demographics, enabling clients to understand campaign effectiveness and optimize their sponsorship investments. Zoomph aims to deliver data-driven insights that simplify reporting and inform strategic decision-making for maximizing partnership ROI.

Features

AI-powered logo detection for identifying brand presence in images and video content across social and broadcast media.

Automated Content Recognition (ACR) technology for analyzing broadcast viewership and partnership exposures.

Comprehensive social media analytics covering exposure, engagement, valuation, and audience growth metrics across platforms like X, Instagram, Facebook, TikTok, YouTube, and Twitch.

Social listening capabilities to track keywords, mentions, and hashtags for earned media analysis.

Broadcast data integration from 40 million devices and 32 million households, utilizing traditional cable data and ACR.

Partnership valuation metrics that quantify the equivalent paid media value of social content and broadcast exposures.

Audience insights derived from a database of over 350 million social profiles to understand consumer interests and demographics.

Benchmarking tools to compare performance against industry peers, competitors, and market trends.

Customizable reporting dashboards and data export functionalities for streamlined analysis and stakeholder communication.

API access for integrating Zoomph's data and analytics into existing workflows and platforms.

Target Audience

The primary target audience includes brands, sports teams and leagues, agencies, and universities seeking to measure and optimize their sponsorship activations and media partnerships.

Revenue Model

Revenue is generated through subscription-based access to the Zoomph platform, with tiered offerings likely based on data volume, feature access, and client size.