Dividend Data vs echoloc
Side-by-side comparison to help you choose the right tool.
Dividend Data
Instantly automate stock analysis in your spreadsheet with AI-powered data and 30+ years of history.
Last updated: March 11, 2026
Echoloc turns job posts into real-time buying signals for sales teams targeting hot companies.
Last updated: February 28, 2026
Visual Comparison
Dividend Data

echoloc

Feature Comparison
Dividend Data
Live Spreadsheet Integration
This is the core magic. Embed real-time and historical market data directly into your Google Sheets or Excel with simple, custom formulas. No more manual updates, broken API scripts, or flipping between tabs. Your spreadsheet becomes a dynamic, auto-refreshing dashboard. Just input a ticker and a parameter, and data like the current price, next dividend date, or PE ratio appears instantly, keeping your models and trackers perpetually up-to-date with a single click.
Comprehensive Dividend & Fundamental Metrics
Go far beyond basic price quotes. Access a deep library of over 100 metrics specifically curated for fundamental analysis. Pull forward annual dividends, yield, growth rates, and payout ratios for dividend sustainability checks. Dive into full income statements, balance sheets, cash flows, and key ratios like PE, PB, and Debt-to-Equity. This feature provides the complete financial picture needed for rigorous stock evaluation without ever leaving your spreadsheet.
30+ Years of Historical Data
Backtest strategies and analyze long-term trends with confidence. Dividend Data provides an extensive historical database spanning more than three decades for a vast universe of 80,000+ global tickers. Chart dividend growth consistency, examine financial performance through market cycles, and build robust historical models. This depth of historical context is critical for serious investors and is typically locked behind expensive institutional platforms.
AI-Powered Research Assistant (Pro Terminal)
Level up your research with integrated artificial intelligence. The Pro Terminal features an AI Analyst that acts as your personal research assistant. Chat with it to get summaries of company financials, ask complex comparative questions, generate investment theses, and uncover insights from the massive dataset instantly. This turns raw data into actionable intelligence, accelerating the due diligence process dramatically.
echoloc
Natural Language Signal Search
Forget complex Boolean strings and endless filter tuning. Describe the exact buying signal you're hunting for in plain English, like "companies hiring their first VP of Sales" or "startups using dbt and Snowflake." Echoloc's intelligent search interprets your query and instantly surfaces matching companies from its vast, live database. This intuitive interface transforms strategic thinking into immediate, actionable results without any training or technical overhead.
Evidence-Based Company Matches
Every single company match is delivered with undeniable proof: direct snippets from the relevant job posts. You see the exact language that triggered the signal, such as "Building our data platform from scratch" for a first-hire data engineer. This transparency eliminates guesswork, provides powerful context for personalization, and ensures you're acting on concrete evidence, not just a company name on a stale, unverified list.
Real-Time Hiring Signal Intelligence
The platform monitors over 30 million companies and 10 million+ job posts, updating in real-time. Signals are categorized for immediate strategic insight, including First Hire, Hiring Spike, Tech Stack Match, New Leader, Urgent Pain (roles open 45+ days), and Geo Expansion. This live feed ensures you are alerted to opportunities at the precise moment of organizational change, giving you a critical timing edge over tools that rely on slower, aggregated intent data.
Actionable Pipeline Export
Once you've identified your high-potential targets, seamlessly export the enriched company list with all associated evidence. Integrate these qualified leads directly into your CRM or sales engagement platform to launch hyper-targeted outreach campaigns. The platform is designed to move you seamlessly from strategic discovery to pipeline generation, turning insight into revenue-driving conversations.
Use Cases
Dividend Data
Automated Dividend Portfolio Tracking
Manually tracking dividend payments, ex-dates, and yields across a portfolio is a tedious relic of the past. Create a master tracker sheet that uses formulas to automatically pull the next ex-dividend date, declared amount, and yield for every holding. Set up conditional formatting to alert you of upcoming payments, and dynamically calculate your portfolio's total forward income and average yield without ever manually inputting a data point.
Building Dynamic Stock Screening Models
Construct powerful stock screens entirely within your spreadsheet. Use functions to pull criteria like PE ratio under 20, dividend yield over 3%, and payout ratio below 60% for a watchlist of tickers. The live formulas allow you to refresh the entire screen with one recalculation, instantly highlighting stocks that meet your evolving investment criteria. This creates a flexible, personalized screening tool far more adaptable than rigid web-based screeners.
Conducting Deep-Dive Fundamental Analysis
Perform comprehensive company analysis on a single sheet. Create a dedicated tab for a stock where you pull 10 years of revenue, EPS, dividend history, and key financial ratios side-by-side. Calculate growth rates, chart trends, and assess financial health directly in Excel or Sheets, using your own formulas alongside Dividend Data's live feeds to build a complete, customizable research report.
Backtesting Investment Strategies
Validate your investment hypotheses with historical data. Use the historical price and dividend functions to simulate how a strategy like "Dogs of the Dow" or a high-yield, low-payout-ratio approach would have performed over the last 10-20 years. Build a backtesting model that calculates total returns, including dividends, to stress-test your strategy's resilience across different market environments before risking capital.
echoloc
Prospecting for Greenfield Tech Budgets
Identify companies making their first strategic hire in a key area, like a "First ML Engineer" or "First Data Scientist." These signals are a goldmine for sales teams selling to new tech stacks (AI/ML platforms, data infrastructure, DevOps tools). The company has a confirmed budget and is in a decisive, greenfield phase where they are evaluating and purchasing new solutions to support this major investment.
Capitalizing on Rapid Scaling & Hiring Spikes
Target organizations experiencing explosive growth, indicated by job posts for "Hiring 5+ engineers this month" or "Rapidly scaling our outbound sales team." This signals urgent needs for supporting infrastructure—be it cloud services, sales tech stacks (CRM, sales engagement), HR software, or cybersecurity tools. Your solution can be positioned as critical fuel for their scaling engine.
Targeting Tech Stack Migrations & Rollouts
Uncover companies poised for major software migrations or new tool rollouts. Look for signals like "Migrating from HubSpot to Salesforce" or "Lead our Salesforce implementation project." This is a prime window for consultants, implementation partners, and competing vendors to engage with a company that has a live, funded project and a clear, immediate need for solutions and services.
Engaging New Budget Owners & Leadership
Pinpoint companies hiring new executive leadership, such as a "Chief Data Officer" or "VP of Sales." A new leader means budget reallocation, new strategic priorities, and a fresh evaluation of existing vendor relationships. This creates a prime opportunity to introduce your solution to a decision-maker who is actively looking to make an impact and is not yet locked into legacy processes or tools.
Overview
About Dividend Data
Forget clunky APIs and endless copy-pasting from financial websites. The game has changed. Dividend Data is the disruptive force democratizing institutional-grade stock market intelligence, bringing it directly into the spreadsheets where investors already live. This isn't just another data feed; it's a seamless integration engineered for the modern, data-driven investor. Built by a dividend investor for dividend investors, it transforms Google Sheets and Microsoft Excel into a powerful, live-terminal experience with zero coding required. Simply type intuitive custom formulas like =DIVIDENDDATA_DIVIDENDS("MSFT") and watch as over 30 years of historical data for 80,000+ tickers populates your cells instantly. Access critical metrics: forward yields, payout ratios, ex-dividend dates, full financial statements, valuation ratios, and comprehensive price history. With a radically generous free tier offering 2,500 monthly credits that never expire, it removes all barriers to entry. This tool is built for fundamental and dividend investors who demand depth, accuracy, and efficiency without the bloated cost of traditional Bloomberg terminals, enabling smarter, faster investment decisions directly within their existing workflow.
About echoloc
Echoloc is the definitive hiring signals platform that decodes the future of B2B buying intent, long before it appears on traditional radar. In a world where everyone is targeting the same stale lists, echoloc provides the first-mover advantage by turning public job postings into a real-time, searchable database of leaked corporate strategy. The platform analyzes millions of job descriptions to surface concrete, evidence-based signals—like a company hiring its first ML engineer, scaling a sales team by 8+, or opening a new office in London. These aren't just HR updates; they're direct indicators of greenfield budgets, urgent pain points, and strategic shifts. Built for forward-thinking Sales Development Representatives (SDRs), Account Executives (AEs), and revenue operations teams, echoloc cuts through the noise. It enables you to engage with precision, context, and unbeatable timing, ensuring your outreach hits when a company is actively preparing to invest, not when they're already inundated with pitches from your competitors. This is how you catch buyer intent before it becomes commoditized "intent data."
Frequently Asked Questions
Dividend Data FAQ
How does the free tier work and what are credits?
The free tier is incredibly robust, offering 2,500 credits per month that never expire. Each data point you pull with a formula (e.g., one cell with =DIVIDENDDATA_QUOTE("AAPL", "price")) typically costs 1 credit. This allows for substantial usage for individual investors tracking a portfolio or analyzing a few companies. There's no trial period; the free tier is permanently available, making it easy to start and scale as needed.
Do I need an API key or coding skills to use it?
Absolutely not. This is the key differentiator. There are no API keys to manage, no scripts to write, and no coding required. You install the add-in from the Google Workspace Marketplace or Microsoft AppSource, and it instantly adds the custom functions to your spreadsheet's formula library. It's designed for investors, not developers.
What data sources does Dividend Data use?
Dividend Data aggregates and cleans data from multiple high-quality, reputable financial data providers to ensure accuracy and comprehensiveness. The specific sources are proprietary, but the focus is on delivering institutional-grade, reliable data for fundamental metrics, dividends, and financial statements, all normalized and ready for analysis in your spreadsheet.
Can I use it in both Google Sheets and Microsoft Excel?
Yes, seamlessly. Dividend Data offers native add-ins for both major spreadsheet platforms. The custom functions and core experience are consistent across Google Sheets and Microsoft Excel. Your workflow remains the same whether you're collaborating online in Sheets or working offline in a desktop Excel file, providing maximum flexibility.
echoloc FAQ
What makes echoloc different from traditional intent data providers?
Traditional intent data aggregates signals from review site visits, content downloads, and keyword searches, which often indicate a company is already in an active research phase—meaning you're likely one of many vendors in the mix. Echoloc operates upstream, analyzing job postings that leak intent before the research begins. When a company hires for a new role or team, it reveals a strategic decision and an allocated budget, allowing you to engage at the very inception of a need, far ahead of the competitive crowd.
How current is the data in the echoloc platform?
Echoloc's data is updated in real-time. The platform continuously monitors and analyzes job posts from over 30 million companies. The "Last seen" timestamp on each company match shows you how recently the signal was active, and the entire database refreshes constantly to ensure you are working with the most current intelligence available, not a static snapshot from weeks ago.
What kind of search queries can I use?
You can search using natural, descriptive language about the buying signals you want to find. Effective queries are based on hiring intent, such as "companies hiring their first security engineer," "startups using React and Node.js," "fintechs expanding to Singapore," or "VP of Marketing open for 60 days." The platform is designed to understand the strategic intent behind your words, not just match keywords.
Can I export the data for use in my sales tools?
Absolutely. A core function of echoloc is to turn signal intelligence into actionable pipeline. You can export your filtered lists of companies, which include key details like company name, signal type, location, size, industry, and the critical evidence snippets. This data can be easily integrated into your CRM (like Salesforce or HubSpot) or sales engagement platforms to launch targeted, personalized outreach campaigns directly from your existing workflow.
Alternatives
Dividend Data Alternatives
Dividend Data is a specialized financial data tool that delivers over 30 years of stock market history directly into spreadsheets. It falls into the category of fundamental investment research platforms, designed specifically for investors who prioritize dividends and long-term value. Users often explore alternatives to find a better fit for their budget, specific feature requirements like different metrics or data sources, or compatibility with other analysis platforms. When evaluating other options, savvy investors should prioritize a few key areas. Look for the depth and reliability of historical data, especially for dividend history. Consider the ease of integration with your existing workflow, whether that's in Excel, Google Sheets, or another tool. Finally, assess the pricing model transparency and whether the tool's core functions align with your specific investment strategy, be it deep fundamental screening or dividend growth tracking. The right tool should feel like a natural extension of your analysis process, removing data friction so you can focus on making informed decisions.
echoloc Alternatives
Echoloc is a sales intelligence platform that operates in the competitive business and finance tech space. It specializes in decoding buying intent by analyzing job postings, giving sales teams a unique edge to target companies in active growth phases. Users often explore alternatives for various reasons, including budget constraints, the need for different data sources beyond job posts, or a requirement for a more comprehensive all-in-one sales engagement suite. The search for the right tool is constant as teams look to optimize their tech stack. When evaluating other platforms, focus on the core data signals they track. Look for tools that provide actionable, real-time insights that align with your specific sales motion. The goal is to find a solution that delivers high-quality, early-stage intent data to fuel your pipeline with precision.