B2B Go-to-Market Partner vs Dividend Data

Full-Cycle Outbound Ownership

We manage the entire outbound sales development process end-to-end. This includes collaborating with you to define a strict Ideal Customer Profile (ICP), crafting tailored value propositions, designing multi-channel outreach sequences, sourcing and verifying prospect data, executing campaigns, and qualifying leads until a sales-ready meeting is booked. This holistic ownership ensures alignment and eliminates gaps in your prospecting strategy, creating a seamless handoff to your closers.

Agile, Data-Driven Campaign Optimization

Our approach is rooted in continuous analysis and iterative refinement. We actively monitor campaign performance metrics, conduct A/B testing on subject lines and messaging, and promptly pivot strategies based on real-time data. This agile methodology ensures your outreach never stagnates, constantly evolving to improve engagement rates, interest generation, and overall return on investment, keeping your pipeline full of high-intent leads.

Enterprise Tech Stack Without the Cost

We deploy and manage a professional sales tech stack, including tools like Clay, Lemlist, and LinkedIn Sales Navigator, on your behalf. This gives you the benefits of an enterprise-grade outbound infrastructure—including high deliverability and advanced sequencing—without the associated licensing fees, setup complexity, or ongoing management headaches, turning fixed technology costs into a variable growth investment.

Transparent Performance Partnership

We operate as an extension of your team with a culture of performance and transparency. You receive detailed weekly and monthly reports on key metrics like open rates, reply rates, and pipeline progression. We set clear goals, provide honest feedback, and adjust strategies collaboratively based on live data, ensuring you have complete visibility and control over your acquisition efforts and costs.

Comprehensive Spreadsheet Integration

Dividend Data seamlessly integrates with both Google Sheets and Microsoft Excel through dedicated add-ins, requiring no API keys or coding knowledge. Users access data by typing intuitive custom formulas directly into their cells, which then pull live, updated information from Dividend Data's extensive databases. This feature automates the entire data collection process, transforming static spreadsheets into dynamic, always-current financial models that refresh with a simple recalculation, fostering a cycle of continuous improvement in your analysis.

Extensive Historical & Real-Time Data Library

The platform provides deep historical context with over 30 years of market data across more than 80,000 global tickers. Investors can pull not just current quotes but also decades of dividend history, financial statements, and key ratios. This vast historical depth is crucial for performing robust trend analysis, calculating long-term growth rates, and backtesting investment strategies, enabling a more informed and iterative approach to building and validating financial theses.

Curated Functions for Dividend Investors

Dividend Data offers 16 specialized custom functions tailored specifically for the needs of income and fundamental investors. Formulas like DIVIDENDDATA_DIVIDENDS for forward yield and ex-dates, DIVIDENDDATA_RATIOS for valuation metrics, and DIVIDENDDATA_METRICS for fundamental data ensure users get precisely the data points they need without sifting through irrelevant information. This curated approach streamlines the research process, allowing for faster, more focused analysis and decision-making.

AI-Powered Research & Portfolio Tools

Beyond spreadsheets, the Dividend Data Terminal web-app enhances the ecosystem with AI-powered research capabilities and automated portfolio tracking. The AI Analyst acts as a research assistant, while the portfolio tool automatically aggregates holdings, tracks dividend income, and visualizes performance. This creates a virtuous cycle where spreadsheet analysis informs portfolio decisions, and portfolio data feeds back into analytical models for ongoing optimization.

Accelerating Time-to-Revenue for New Product Launches

For companies that have just launched a product, this service provides an immediate, parallel engine for market entry. Instead of waiting months to hire and train an SDR team, devlo's rapid 21-day launch process gets targeted outreach campaigns running quickly, generating qualified meetings and fast-tracking initial revenue validation without delaying your core product development cycle.

Scaling Pipeline Predictably Without Adding Headcount

Established B2B SaaS companies looking to scale sales operations can avoid the high cost and risk of hiring additional in-house SDRs. By outsourcing the prospecting function, you gain a scalable, performance-driven pipeline engine. This converts fixed salary and management overhead into a predictable variable investment, allowing you to control acquisition costs and scale pipeline on demand.

Fast, Risk-Free Validation of New Markets or Segments

When expanding into a new geographic region, vertical industry, or customer segment, testing the waters is crucial. Our team can swiftly scout the new landscape, tailor ICPs and messaging, and launch targeted test campaigns. This provides you with rapid, data-backed feedback on product-market fit and demand, enabling informed, low-risk decisions about further investment.

Augmenting and Focusing an Existing Sales Team

For companies with an internal sales team that is bogged down by prospecting, this service acts as a dedicated lead generation arm. We handle the top-of-funnel outreach and qualification, booking meetings that are sales-ready. This allows your valuable account executives and closers to focus entirely on conducting demos, negotiating, and closing deals, dramatically improving their efficiency and win rates.

Building Dynamic Dividend Screens

Investors can construct powerful, custom stock screens directly in their spreadsheet. By combining functions for dividend yield, payout ratio, consecutive years of growth, and PE ratio, users can create a live filter that updates automatically as market data changes. This allows for the continuous monitoring of investment criteria and the iterative refinement of a watchlist based on the most current financial metrics available.

Creating Automated Financial Models

Analysts and individual investors can build detailed discounted cash flow (DCF) or dividend discount models (DDM) that pull live data for revenue, EPS, and dividend forecasts directly into their assumptions. This automates the input stage, letting modelers focus on analysis and scenario planning. The model becomes a living document that improves in accuracy and relevance with each data refresh.

Maintaining a Live Portfolio Dashboard

Users can link their portfolio holdings in a spreadsheet to pull real-time prices, dividend announcements, and yield-on-cost calculations. This creates an automated dashboard that tracks total value, income projections, and sector allocation without manual updates. It enables a cycle of continuous portfolio review and rebalancing based on live, aggregated data.

Conducting Historical Comparative Analysis

With access to 30+ years of data, investors can perform deep historical studies, such as analyzing a company's dividend consistency through different economic cycles or comparing the historical volatility and performance of multiple assets. This long-term perspective supports more resilient, iteratively-tested investment strategies grounded in comprehensive historical evidence.

B2B Go-to-Market Partner by devlo is a specialized agency service engineered to transform your launched B2B SaaS or technology product into a revenue-generating machine. It is designed for founders and sales leaders who are experts in rapid product development but need a parallel, high-velocity engine to drive market entry, lead generation, and pipeline creation. The service takes full ownership of your outbound go-to-market (GTM) and sales prospecting strategy, bridging the critical gap between a "Live" product status and tangible "Revenue." The core value proposition is a predictable, performance-driven partnership that scales your sales pipeline without the need to scale your internal headcount or fixed operational costs. By outsourcing the entire outbound function—from Ideal Customer Profile (ICP) definition to qualified meeting booking—your internal team is freed to focus exclusively on closing deals and product innovation. The methodology is built on a cyclical and iterative process of continuous improvement, where campaign data is constantly analyzed and strategies are refined in real-time. This ensures your growth trajectory never lags behind your ship date, enabling fast validation in new markets and controlled, scalable customer acquisition.

Dividend Data is a powerful financial data platform designed to empower fundamental and dividend investors with institutional-grade market intelligence directly within their existing workflow. At its core, it eliminates the tedious, error-prone process of manually copying and pasting data by bringing over 30 years of historical stock market data for more than 80,000 tickers straight into Google Sheets and Microsoft Excel. The platform operates on a simple, code-free principle: just type a custom formula like =DIVIDENDDATA_DIVIDENDS("MSFT"), and live data instantly populates your cell. Built by a dividend investor for dividend investors, it provides instant, structured access to critical metrics including dividends, yields, payout ratios, growth rates, complete financial statements, earnings, valuation ratios, and price history through a suite of over 100 metrics. This continuous, iterative flow of data into your spreadsheets allows for dynamic, living models that improve with every refresh, ensuring your investment analysis is always based on the latest information. With a generous free tier offering 2,500 monthly credits and no trial expiration, Dividend Data makes professional-grade analysis accessible to every investor, bridging the gap between sophisticated data needs and a user-friendly, affordable price point.

What is the typical timeline to launch a campaign?

We operate on a rapid launch model designed for agility. From initial consultation and ICP alignment to full campaign activation, our standard timeline is 21 days. This includes setting up all necessary technology, finalizing targeting, crafting messaging, and sourcing verified prospect data, ensuring you can begin generating pipeline quickly without needing any existing infrastructure.

How do you ensure the quality of leads and meetings booked?

Lead quality is enforced through our rigorous 6-step methodology, specifically the final Qualification & Handoff stage. We pre-qualify prospects based on key criteria like budget, authority, need, and timeline (BANT). Only leads that meet these agreed-upon standards and express genuine interest in a next-step conversation are passed to your sales team as booked meetings, ensuring your closers spend time on high-potential opportunities.

What makes your approach different from hiring in-house SDRs?

Our service eliminates the major drawbacks of in-house hiring: high fixed costs (salary, benefits, tools), long ramp-up times (3-6 months for training), and the risk of turnover. We provide immediate expertise, an enterprise tech stack, and a performance-driven model focused on continuous optimization. You pay for results and pipeline growth, turning a fixed cost center into a scalable, predictable investment with a lower effective Cost of Acquisition (CAC).

How is performance measured and reported?

We believe in full transparency and operate as a true partner. You will receive detailed weekly and monthly reports that track all key performance indicators (KPIs), including emails sent, open rates, reply rates, interest rates, and the number of qualified meetings booked. We review this data collaboratively, using it to fuel our cyclical process of analysis and iterative campaign improvement for sustained performance.

How does the free tier work?

The free tier provides 2,500 credits per month, which do not expire and renew each month. No credit card is required to start. Each data point retrieved by a formula (e.g., one cell with a dividend yield) typically consumes one credit. This generous allowance allows for substantial usage for personal portfolio tracking and analysis, enabling users to experience and iteratively integrate the tool into their workflow at no cost.

What data can I access with the spreadsheet functions?

You can access over 100 key metrics including forward and historical dividends, ex-dividend dates, dividend yields, payout ratios, stock prices, PE ratios, EPS, full financial statement items (income statement, balance sheet, cash flow), and various other growth and valuation metrics. The 16 custom functions are designed to categorize this data intuitively for fundamental and dividend analysis.

Do I need to know how to code to use Dividend Data?

Absolutely not. Dividend Data is built specifically to require zero coding. You use it just like any native spreadsheet function (e.g., =SUM()). Simply type =DIVIDENDDATA_ and follow the formula syntax to pull data directly into your cell. The integration handles all the complex data fetching in the background, making professional analysis accessible through an interface you already know.

Does it work in both Google Sheets and Microsoft Excel?

Yes, Dividend Data offers fully functional add-ins for both Google Sheets (via the Google Workspace Marketplace) and Microsoft Excel (via Microsoft AppSource). The core experience and formula syntax are consistent across both platforms, allowing you to choose your preferred environment or even use both interchangeably while maintaining a continuous, iterative analysis process.

B2B Go-to-Market Partner is a specialized agency service that provides end-to-end outbound sales prospecting for B2B SaaS and tech companies. It falls into the category of outsourced sales development or performance-driven GTM partnerships, designed to transform a live product into predictable revenue by booking qualified demos. Users often explore alternatives for various reasons, including budget constraints, a preference for in-house control, the need for a different service scope, or specific platform integrations. The search typically revolves around finding the right balance of cost, expertise, and strategic alignment for their unique growth stage. When evaluating alternatives, focus on the core methodology. Look for a partner with a cyclical, data-refined process, not just a one-time campaign. Ensure they offer clear performance metrics, expertise in your vertical, and a transparent handoff process that integrates seamlessly with your internal sales team for closing deals.

Dividend Data is a specialized financial data service that brings over 30 years of stock market history directly into spreadsheets. It falls into the category of tools designed for fundamental and dividend investors who prioritize ease of use and deep historical analysis without complex setups. Users often explore alternatives for various reasons, including specific budget constraints, the need for different feature sets like real-time alerts or broker integrations, or a requirement to use a platform other than Google Sheets or Excel. The search for the right tool is a continuous process of matching one's evolving investment strategy with available solutions. When evaluating any alternative, consider the depth and reliability of historical data, the simplicity of integration into your current workflow, and the overall value relative to cost. The goal is to find a service that not only meets your immediate data needs but also adapts to support your long-term analytical growth and iterative refinement of your investment process.