Software Alternatives, Accelerators & Startups

InsertKit VS Dividend Data

Compare InsertKit VS Dividend Data and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

InsertKit logo InsertKit

Boost Your Productivity and Save Your Time with InsertKit

Dividend Data logo Dividend Data

Stock data in your spreadsheet, automatically.
Not present
  • Dividend Data
    Image date //
    2026-03-04
  • Dividend Data 2
    2 //
    2026-03-06
  • Dividend Data 3
    3 //
    2026-03-06
  • Dividend Data 4
    4 //
    2026-03-06

Dividend Data brings 30+ years of stock market data for 80,000+ tickers directly into your Google Sheets and Microsoft Excel spreadsheets โ€” 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:

โ€ข Free tier with 2,500 monthly credits โ€” no trial expiration โ€ข 16 custom functions covering everything dividend investors need โ€ข 30+ years of historical data โ€ข Works in both Google Sheets and Microsoft Excel โ€ข Built by a dividend investor, for dividend investors

Used by fundamental investors who want institutional-grade data without the institutional price tag.

Analysis of InsertKit

Overall verdict

  • InsertKit is a solid, lightweight tool for embedding dynamic content, forms, and personalized elements into websites, emails, or apps without heavy development work. It's a good fit for marketers and small teams needing quick, no-code content embedding solutions.

Why this product is good

  • Simple no-code interface for creating and embedding dynamic content blocks
  • Fast setup and integration into existing websites or email platforms
  • Supports personalization and dynamic data insertion for more targeted content
  • Affordable pricing suitable for small businesses and solo marketers
  • Reduces reliance on developers for content updates and embeds

Recommended for

  • Small business owners needing quick content embedding solutions
  • Marketers who want to personalize website or email content without coding
  • Startups looking for cost-effective no-code tools
  • Non-technical teams managing dynamic content updates
  • Agencies handling multiple client sites needing fast embed deployment

Analysis of Dividend Data

Overall verdict

  • Dividend Data (dividenddata.com) is a useful free resource for investors tracking UK and international dividend-paying stocks, offering solid data coverage for the price, though it lacks some of the polish and advanced analytics of premium paid platforms.

Why this product is good

  • Provides comprehensive dividend history, yield, and payment date information for a wide range of listed companies, particularly strong on UK equities
  • Free to access, making it accessible for retail investors without subscription costs
  • Includes forecast dividend data and ex-dividend date calendars, useful for planning income strategies
  • Simple, straightforward interface that is easy to navigate for basic dividend lookups
  • Aggregates data that would otherwise require checking multiple company reports or exchange filings

Recommended for

  • UK-focused income investors seeking dividend yield and payment date information
  • Retail investors building dividend income portfolios on a budget
  • Casual investors who want quick reference data without paying for premium research tools
  • People tracking ex-dividend dates to time purchases or avoid missing payments
  • Investors who want a supplementary free tool alongside other more detailed brokerage or analytics platforms

Category Popularity

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Writing Tools
100 100%
0% 0
Trading
0 0%
100% 100
Text Expansion
100 100%
0% 0
Finance
0 0%
100% 100

User comments

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What are some alternatives?

When comparing InsertKit and Dividend Data, you can also consider the following products