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What is SHOPT?

While technology has been effectively integrated into trade promotion, retail execution, and other key functions within the consumer packaged goods (CPG) sector to enhance processes and unify insights, the realm of shopper marketing has not yet fully adopted these innovations. Our 2018 Shopper Marketing Optimization Report reveals that an alarming 78% of participants consider their shopper marketing processes to be merely average or worse. This lack of progress in modernization is hindering overall effectiveness, which underscores the importance of Shopper Marketing Optimization (SMO) in driving revenue growth within the CPG industry. To improve your commercial investments, consider implementing a collaborative budgeting tool that allows managers to connect budgets with specific, quantifiable goals, allocate resources across different teams or accounts, and track performance through real-time reports on spending that can be examined at the levels of customer, brand, and category. Such a method promotes collaboration by uniting global teams and agencies around a single, trustworthy source of data. Furthermore, this strategy integrates established techniques and financial analytics into the planning process, ultimately enhancing the impact of marketing initiatives while ensuring the judicious use of resources. By embracing these approaches, organizations can better synchronize their shopper marketing strategies with contemporary demands and expectations, paving the way for a more successful future. Additionally, this alignment will not only enhance operational efficiency but also foster innovation and adaptability in a rapidly changing marketplace.

What is Browsi?

The revenue generated from advertising is intricately tied to the quality of your inventory. You can instantly increase your profits with Browsi Revenue OS, which leverages more than 100 data metrics to dynamically address viewability, scalability, and pricing. Why stick to a one-size-fits-all ad design and merely wish for better results? Elevate your earnings by using AI to customize ad layouts for every user and page, which improves viewability, scalability, and the overall user experience. It's crucial to ensure that all inventory is consistently optimized for viewability. Given that numerous factors are adjusted with each page load, real-time optimization for viewability becomes essential. Browsi’s AI reconfigures every element of a publisher’s ad layout into a more adaptable format that boosts viewability while providing premium inventory to advertisers as needed. Ensuring that your inventory is viewable should not come at the cost of impression volume. Browsi effectively utilizes over 100 data points to strike a balance between these two important aspects. Employing a data-driven approach to inventory does not mean surrendering control; rather, publishers benefit from improved traffic benchmarking, valuable behavioral insights, strategic ad placements, and reduced ad delivery latency. This all-encompassing method guarantees that both revenue and user experience are prioritized in tandem, allowing for a more holistic approach to digital advertising. Ultimately, embracing such technology positions publishers for greater success in a competitive market.

Media

Media

Integrations Supported

Integrations Supported

Adform
Google Tag Manager
WordPress

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Cierant Corporation

Date Founded

1987

Company Location

United States

Company Website

www.cierant.com/explore/shopt/

Company Facts

Organization Name

Browsi

Date Founded

2016

Company Location

Israel

Company Website

gobrowsi.com

Categories and Features

Retail Execution

Not specified

Categories and Features

Ad Server

Not specified

Advertising

Not specified

Machine Learning

ML Algorithm Library
Predictive Modeling
Statistical / Mathematical Tools

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