Dividend Data vs echoloc

Comprehensive Spreadsheet Integration

Dividend Data seamlessly integrates directly into your existing workflow within Google Sheets and Microsoft Excel via dedicated add-ins. This feature requires no API keys, coding knowledge, or complex setup. You gain access to a suite of over 16 custom functions that pull live data directly into your cell formulas. This transforms static spreadsheets into dynamic, auto-updating financial models and dashboards, saving countless hours of manual data entry and ensuring your analysis is always based on the most current information available.

Extensive Historical & Fundamental Data Library

Access a deep well of financial information spanning more than three decades for a global universe of 80,000+ stocks and ETFs. The library is meticulously built for fundamental analysis, covering dividend-specific metrics (ex-dates, payment dates, growth rates), full financial statements (income, balance sheet, cash flow), valuation and profitability ratios (P/E, P/B, ROE), and detailed price history. This depth allows investors to perform rigorous back-testing, analyze long-term trends, and make informed decisions based on comprehensive historical context.

Built-for-Purpose Dividend Investor Tools

The product is specifically engineered with dividend-focused metrics at its core. Functions are designed to instantly retrieve forward dividends, yields, payout ratios, and dividend growth histories. This specialized focus means investors can quickly screen for income stability, assess dividend safety, and model future income streams without having to manually calculate these figures from raw data, streamlining the entire research process for income-generating portfolios.

Free Tier with Perpetual Access

Dividend Data fosters long-term user growth by offering a genuinely free starting point. The free plan provides 2,500 credits per month without any trial expiration date, allowing new investors to explore the platform's capabilities, build small models, and integrate data into their process at zero cost. This low-barrier entry encourages skill development and demonstrates tangible value, creating a natural pathway for users to evolve into power users who may later choose to upgrade for higher-volume needs.

Natural Language Search

Describe the exact buying signal you're looking for in plain English, just like you think. There's no need for complex Boolean strings or rigid filters. Simply type queries like "companies hiring their first VP of Sales" or "startups using dbt and Snowflake" to instantly surface relevant companies. This intuitive interface accelerates discovery, allowing you to focus on strategy rather than search syntax, and quickly adapt to new market trends or competitive landscapes.

Evidence-Based Company Matches

Every company result is paired with direct proof from the source job postings. You don't just get a stale list of company names; you see the exact job description snippets that triggered the match, such as "Building our data platform from scratch" for a first hire. This transparency eliminates guesswork, provides immediate context for outreach, and builds confidence that your leads are backed by concrete, real-world signals of intent and investment.

Real-Time Signal Intelligence

The platform monitors over 30 million companies and 10 million jobs, providing live updates as new opportunities emerge. Signals are categorized intelligently—like "First Hire," "Hiring Spike," "Tech Stack," or "Geo Expansion"—to help you quickly assess the nature and urgency of the opportunity. This ensures you are always working with the most current data, allowing you to act on fresh intent before it becomes common knowledge in the market.

Actionable Export & Integration

Once you've identified high-potential accounts, Echoloc enables you to seamlessly move them into your workflow. View full match lists, export company details, and access direct links to the source job posts for deeper research. This functionality bridges the gap between signal discovery and execution, allowing sales teams to rapidly enrich, prioritize, and engage the prospects most likely to convert, directly fueling pipeline growth.

Automated Dividend Portfolio Tracking

Investors can build a master portfolio tracker that automatically updates key metrics. By using formulas to pull current prices, dividend yields, and annual income per holding, you can create a live dashboard that shows total portfolio value, projected annual dividend income, and average portfolio yield without ever manually looking up a stock price or dividend announcement again.

Fundamental Stock Screening & Analysis

Quickly screen and analyze potential investments by building custom filters in a spreadsheet. Use functions to pull P/E ratios, debt-to-equity, ROIC, and dividend growth rates for a list of tickers. This allows for rapid comparison of financial health and valuation across dozens of companies to identify those that meet specific, rigorous investment criteria for further due diligence.

Historical Performance Back-testing

Test investment strategies or analyze a company's historical financial resilience. With 30+ years of data, you can pull annual revenue, EPS, and dividend payments into a sheet to chart long-term trends, calculate compounded dividend growth rates, or see how key ratios have changed through different market cycles, providing evidence-based context for future expectations.

Dynamic Financial Model Creation

Create sophisticated discounted cash flow (DCF) or dividend discount models (DDM) that use live data inputs. Instead of hard-coding assumptions, link your model directly to Dividend Data functions for current EPS, growth estimates, and risk-free rates. This ensures your valuation models are always up-to-date and can be recalculated instantly with new data.

Prospecting for Greenfield Opportunities

Identify companies making foundational hires, such as their first data scientist or security engineer. These "first hire" signals indicate new budget creation, greenfield technology projects, and a high likelihood of vendor evaluation. Sales teams can engage these prospects early in their build phase, positioning their solution as an integral part of the new stack before competitors even know the project exists.

Capitalizing on Rapid Scaling

Target organizations experiencing a "hiring spike," where they are recruiting for 5+ roles in a specific department within a month. This rapid scaling is a clear indicator of growth funding, increased operational capacity, and imminent needs for supporting tools and infrastructure. Outreach can be tailored to support their scaling challenges, making your solution relevant to their most pressing operational pains.

Targeting Tech Stack Migrations

Discover companies signaling a rollout or migration through job posts seeking expertise in specific platforms (e.g., "Migrating from HubSpot to Salesforce"). This reveals an active, funded project with a defined timeline. Sales teams can engage the newly hired project leads or the hiring managers with tailored messaging that directly addresses the migration's challenges and requirements.

Engaging New Budget Owners

Pinpoint companies hiring for new leadership roles, like a Chief Data Officer or a VP of Engineering. A new executive hire often signifies a reorganization of priorities and budgets, creating an opening for new vendor relationships. This provides a perfect entry point for sales to introduce solutions aligned with the new leader's mandate and strategic objectives.

Dividend Data is the definitive toolkit for the modern, self-directed investor, designed to bridge the gap between sophisticated financial analysis and practical, everyday use. It transforms your familiar spreadsheet environment—Google Sheets or Microsoft Excel—into a powerful, live-connected research terminal. The core mission is to eliminate the tedious, error-prone manual work of data gathering. Instead of copying, pasting, and constantly updating figures from disparate sources, you simply type intuitive custom formulas like =DIVIDENDDATA_DIVIDENDS("TICKER") to instantly pull in accurate, institutional-grade data. Built by a dividend investor for dividend and fundamental investors, it provides direct access to over 30 years of historical data for more than 80,000 tickers. This includes dividends, yields, payout ratios, growth rates, complete financial statements, key ratios, price history, and over 100 other essential metrics. The product evolves with your investing journey, starting with a generous free tier of 2,500 monthly credits that never expires, allowing you to build a foundational analysis practice without cost or commitment, and scaling to meet the needs of advanced portfolio management and deep-dive research.

Echoloc is a transformative hiring signals platform that redefines how revenue teams discover and engage with potential buyers. It operates on a simple, powerful premise: job postings are not HR noise but leaked intent. While traditional intent data tools report on activity after a buying committee is already formed and researching, Echoloc identifies the critical, early-stage signals that a company is preparing to invest. By analyzing millions of job descriptions in real-time, it uncovers concrete evidence of growth, new initiatives, and urgent pain points—such as a company hiring its first data engineer, scaling a sales team by 8+ reps, or expanding into a new region. This platform is built for sales development representatives (SDRs), account executives (AEs), and go-to-market leaders who need to move ahead of the competition. Echoloc translates strategic hiring moves into actionable sales opportunities, enabling teams to craft informed, timely, and highly relevant outreach. The evolution of sales intelligence is here, shifting the edge from targeting to timing, and Echoloc is at the forefront, turning public hiring data into a private pipeline of pre-qualified, high-intent prospects.

How does the free tier work and what are credits?

The free tier provides 2,500 credits every month, which renew automatically. Each data point retrieved by a formula (e.g., one cell with a price, a dividend yield, or an EPS figure) typically costs one credit. This allows for substantial usage for individual investors tracking a personal portfolio or conducting periodic research. There is no expiration on this free plan, so you can use it indefinitely.

Do I need to know how to code or set up an API?

Absolutely not. Dividend Data requires zero coding knowledge. You simply install the add-in for Google Sheets or Microsoft Excel from their respective marketplaces. Once installed, you can immediately start using the custom formulas like =DIVIDENDDATA_QUOTE("AAPL", "price") directly in your spreadsheet cells—no API keys or technical configuration is needed.

What kind of data can I access with the spreadsheet functions?

You can access a vast array of data points tailored for fundamental and dividend analysis. This includes real-time quotes, 30+ years of dividend history (dates, amounts), forward dividend metrics, complete financial statements (income, balance sheet, cash flow), key ratios (P/E, P/B, ROE), per-share metrics, and basic company information. Over 100 specific metrics are available through intuitive formula syntax.

Does it work in both Google Sheets and Microsoft Excel?

Yes, Dividend Data is fully functional in both major spreadsheet platforms. There is a dedicated Google Sheets add-on available in the Google Workspace Marketplace and a separate Microsoft Excel add-in available in the Microsoft AppSource store. The core set of functions and data access is consistent across both applications.

What kind of signals does echoloc track?

Echoloc specializes in decoding buying intent from job postings across millions of companies. It tracks specific, actionable signals such as "First Hire" for a new function, "Hiring Spikes" indicating rapid growth, "Tech Stack" mentions revealing tool investments, "New Leader" hires, "Geo Expansion" into new regions, and "Urgent Pain" shown by roles open for extended periods. Each signal is designed to reveal a company's readiness to invest in new solutions.

How current is the data in the platform?

The data is updated in real-time. Echoloc continuously analyzes over 10 million job posts from more than 30 million companies, ensuring that the signals and company matches you see reflect the very latest hiring activity. This live feed allows you to act on opportunities as they emerge, giving you a significant timing advantage over tools that rely on slower, aggregated intent data.

Do I need special training to use the search?

No special training is required. Echoloc is built for intuitive use with its natural language search. You simply describe the buying signal you're looking for in plain English, such as "companies hiring their first ML engineer." The platform understands your query and returns relevant, evidence-backed results immediately, eliminating the need for complex query syntax or filter management.

How is this different from traditional intent data?

Traditional intent data typically aggregates online behavior like website visits and content downloads, which signals that a company is already actively researching solutions—often putting you in a crowded, competitive space. Echoloc operates earlier in the buying journey by identifying the strategic hiring decisions that precede formal research. It uncovers the intent to invest before a research committee even forms, allowing you to be the first vendor to engage.

Dividend Data is a specialized financial data tool designed for fundamental and dividend investors. It provides direct spreadsheet integration, allowing users to pull decades of historical market data into Google Sheets and Excel with simple formulas. Users often explore alternatives for various reasons, such as budget constraints, the need for different feature sets like technical analysis or broader market coverage, or compatibility with other platforms like Python or dedicated trading software. The search for the right tool is a natural step in an investor's growth as their strategy and data demands evolve. When evaluating options, consider your core workflow. Key factors include the depth and reliability of historical data, ease of integration with your existing spreadsheets, transparent and scalable pricing, and whether the tool's focus aligns with your investment philosophy, be it dividends, value, or growth investing.

Echoloc is a sales intelligence platform in the business and finance category. It specializes in identifying buying signals by analyzing company job postings, allowing sales teams to target accounts that are actively preparing to invest. Users often explore alternatives for various reasons. These can include budget constraints, the need for different feature sets, or a requirement for a platform that integrates with a specific tech stack. The search for the right tool is a natural part of scaling a sales operation. When evaluating alternatives, consider the core intelligence source. Look for platforms that provide actionable, early-stage signals beyond basic firmographics. The goal is to find a solution that aligns with your team's specific workflow and growth stage, ensuring your outreach remains proactive and informed.