Dividend Data vs Poach

Side-by-side comparison to help you choose the right product.

Access comprehensive stock data, including 30 years of dividends and financials, instantly in Google Sheets and Excel.

Last updated: March 11, 2026

Poach empowers VCs to enhance dealflow by tracking emerging founders through insightful social media analysis.

Last updated: February 26, 2026

Visual Comparison

Dividend Data

Dividend Data screenshot

Poach

Poach screenshot

Feature Comparison

Dividend Data

Free Tier with Monthly Credits

Dividend Data offers a generous free tier that provides users with 2,500 monthly credits. This means you can start accessing valuable stock market data without any upfront cost or trial expiration, making it an attractive option for both beginners and seasoned investors.

Extensive Historical Data

With over 30 years of historical stock market data, Dividend Data enables investors to analyze trends and make informed decisions. This extensive data coverage allows users to evaluate stocks thoroughly, enhancing their investment strategies with reliable historical insights.

16 Custom Functions

The platform features 16 custom functions specifically designed for dividend investors. These functions allow users to easily access essential metrics such as dividend yields, payout ratios, and earnings, streamlining the analysis process and saving valuable time.

Seamless Integration with Spreadsheets

Dividend Data integrates seamlessly with both Google Sheets and Microsoft Excel. This enables users to retrieve live data directly into their spreadsheets using simple formulas, allowing for efficient data management and real-time analysis without any technical hurdles.

Poach

Track VCs on Twitter

Poach actively monitors the Twitter accounts of top-tier venture capitalists to identify which founders they follow. This feature provides early signals of interest and potential investment opportunities, making it easier for VCs to discover promising startups.

LinkedIn Enrichment

The platform utilizes proprietary identity resolution techniques to match Twitter accounts with LinkedIn profiles. By enriching its records with comprehensive work history and educational background, Poach ensures users have access to detailed insights about potential founders.

AI-Powered Labeling

Poach employs advanced AI to analyze the data collected from Twitter and LinkedIn, automatically labeling individuals based on their roles—such as founders, engineers, or investors. This labeling system simplifies the search process for VCs, enabling them to find candidates that align with their investment criteria.

Raw Data Delivery

Users can download enriched data in CSV format, which includes all relevant labels and insights. This feature allows investors to filter information based on specific parameters, such as unfunded founders, ensuring they can focus on opportunities that meet their investment strategy.

Use Cases

Dividend Data

Portfolio Management

Dividend Data is ideal for portfolio managers who need to track multiple investments. By using its custom functions, users can easily monitor dividends, earnings, and price history, ensuring they have all the necessary information at their fingertips for effective portfolio management.

Fundamental Analysis

Investors focusing on fundamental analysis will benefit from Dividend Data's comprehensive metrics. With access to financial statements and key ratios, users can make well-informed investment decisions based on the financial health of companies.

Dividend Strategy Development

For those developing dividend-focused investment strategies, Dividend Data provides the tools necessary to analyze potential dividend stocks. Users can quickly access growth rates, payout ratios, and historical dividend data to build a robust dividend strategy.

Automated Reporting

Dividend Data allows for the automation of reporting processes. By utilizing its functions within spreadsheets, investors can generate reports on stock performance, dividend payments, and financial ratios, saving time and effort while ensuring accuracy.

Poach

Discover Early-Stage Founders

Venture capitalists can use Poach to identify and connect with startup founders who are still in the ideation phase, giving them a head start in establishing relationships before fundraising begins.

Enhance Investment Research

By accessing enriched data about potential founders, investors can conduct thorough due diligence and research, ensuring informed decision-making when considering new investment opportunities.

Build a Targeted Deal Flow

VCs can leverage Poach’s filtering capabilities to create a tailored deal flow that aligns with their investment thesis, focusing on specific founder attributes or industries, such as tech or health.

The platform allows investors to keep a pulse on emerging trends in the startup ecosystem by tracking founders' movements and interests, enabling them to make strategic adjustments in their investment approach.

Overview

About Dividend Data

Dividend Data is a powerful tool designed to bring extensive stock market data directly into your spreadsheets, specifically Google Sheets and Microsoft Excel. With over 30 years of historical data covering more than 80,000 tickers, it offers invaluable resources for dividend and fundamental investors. The platform provides instant access to crucial metrics such as dividends, yields, payout ratios, growth rates, financial statements, earnings, and various ratios. Users can utilize simple custom formulas to retrieve live data, eliminating the need for API keys, coding, or tedious copy-and-paste tasks. The service is built by a dividend investor, making it tailored to meet the specific needs of those focused on dividend returns. With a free tier offering 2,500 monthly credits and no expiration on trials, Dividend Data is accessible for both novice and experienced investors looking for institutional-grade data without the hefty price tag.

About Poach

Poach is a cutting-edge platform designed to enhance deal flow for venture capitalists (VCs) by tracking founders and their early-stage activities on social media, primarily Twitter and LinkedIn. The platform's main value proposition lies in its ability to identify promising startup founders before they initiate fundraising efforts, providing VCs with a crucial advantage in the competitive investment landscape. By leveraging advanced AI algorithms and identity resolution technology, Poach enriches user data, allowing investors to filter and pinpoint founders based on specific characteristics and needs. This proactive approach not only facilitates better investment decisions but also helps build relationships with founders at an early stage, ultimately increasing the chances of successful investments. Poach is ideal for venture capital firms, angel investors, and anyone involved in the startup ecosystem who aims to discover emerging talent ahead of the crowd.

Frequently Asked Questions

Dividend Data FAQ

How does Dividend Data integrate with Google Sheets and Excel?

Dividend Data offers add-ons for both Google Sheets and Microsoft Excel, allowing users to pull data directly into their spreadsheets using custom functions without any coding knowledge required.

Is there a cost associated with using Dividend Data?

Dividend Data provides a free tier that includes 2,500 monthly credits, allowing users to access stock data without any initial investment. Higher usage may require a paid plan, but users can start without a credit card.

What types of data can I access with Dividend Data?

Users can access a wide range of data, including dividends, yields, financial ratios, price history, earnings, and over 100 additional metrics, all designed to aid in investment decision-making.

Can I use Dividend Data for real-time stock analysis?

Yes, Dividend Data provides live data updates in your spreadsheets, enabling real-time stock analysis. This immediate access allows investors to react quickly to market changes and make timely investment decisions.

Poach FAQ

How does Poach track VCs on social media?

Poach tracks VCs primarily on Twitter, monitoring who they follow to identify early interest in potential founders, which serves as a valuable signal for investment opportunities.

What kind of data does Poach provide?

Poach offers enriched data that includes LinkedIn work history, educational background, and AI-generated labels that categorize individuals as founders, engineers, investors, and more.

How can I filter the data in Poach?

Users can filter the data based on various criteria, such as unfunded founders or specific roles, allowing for a customized search experience to match their investment strategies.

Is Poach suitable for new investors?

Yes, Poach is designed for anyone in the startup ecosystem, including new investors, as it provides essential insights and data that can help them identify promising investment opportunities early on.

Alternatives

Dividend Data Alternatives

Dividend Data is a powerful tool designed for dividend and fundamental investors, offering over 30 years of stock market data for more than 80,000 tickers. This service integrates seamlessly with Google Sheets and Microsoft Excel, providing instant access to essential investment metrics such as dividends, yields, financial statements, and more through user-friendly custom formulas. Users often seek alternatives to Dividend Data for various reasons, including pricing, specific feature sets, or compatibility with preferred platforms. When evaluating alternatives, it is crucial to consider factors such as the comprehensiveness of data, ease of use, available features, and the overall value proposition to ensure that the chosen solution meets individual investment needs.

Poach Alternatives

Poach is a sophisticated platform categorized under business and finance, specifically tailored for venture capitalists (VCs) seeking to enhance their deal flow by tracking emerging founders and their activities on social media, primarily Twitter and LinkedIn. Users often look for alternatives to Poach for various reasons, such as pricing concerns, feature sets that may better align with their specific needs, or the necessity for integrations with other tools they currently utilize. When selecting an alternative, it's crucial to evaluate features like data accuracy, user interface, and the ability to provide valuable insights that facilitate informed investment decisions.

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