Dividend Data vs echoloc
Side-by-side comparison to help you choose the right AI tool.
Dividend Data
Get data & 30+ yrs history in Sheets/Excel fast.
Echoloc identifies buying signals in job posts, helping sales teams target accounts poised to make purchases.
Last updated: February 26, 2026
Visual Comparison
Dividend Data

echoloc

Overview
About Dividend Data
Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets — no API keys, no coding, no copying and pasting.
Built for dividend & fundamental investors, it gives you instant access to dividends, yields, payout ratios, growth rates, financial statements, earnings, ratios, price history, and 100+ metrics through simple custom formulas.
Just type a formula. The data appears live.
What makes it different:
• Free tier with 2,500 monthly credits — no trial expiration
• 16 custom functions covering everything dividend investors need
• 30+ years of historical data
• Works in both Google Sheets and Microsoft Excel
• Built by a dividend investor, for dividend investors
Used by fundamental investors who want institutional-grade data without the institutional price tag.
About echoloc
Echoloc is a cutting-edge platform designed to transform how sales professionals identify and engage potential buyers. By analyzing job postings, Echoloc uncovers hidden buying signals that indicate when companies are actively preparing to invest in new technologies or services. This innovative approach enables sales development representatives (SDRs), account executives (AEs), and revenue teams to pinpoint opportunities before they hit traditional intent data providers. For instance, when a company posts a job for its first data engineer or scales its sales team, it’s clear they are in a growth phase and likely to spend. With Echoloc, sales professionals can rely on concrete evidence from job descriptions, ensuring their outreach is informed and timely. This capability not only enhances targeting but also allows teams to stay ahead of competitors by catching buyer intent before it becomes mainstream.