Introducing Custom Research: Deeply Personalize Outbound Campaigns with AI-Driven Prospect Insights

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Outbound sales teams have a huge problem: Personalization at scale is painfully limited, repetitive, and often shallow. GTM teams waste countless hours manually researching prospect data or settle for generic, one-dimensional outreach based on minimal data points.

Autobound Custom Research changes everything.

We’re extending our AI Studio and Signal Engine infrastructure to bring you the deepest, most flexible, AI-powered research available directly within your workflows—empowering RevOps teams, growth marketers, and product leaders with insights they'd never find manually or through traditional data sources.

Why Custom Research Matters

Traditionally, GTM teams use basic firmographics or shallow triggers—like funding announcements or job changes—to personalize their outreach. While these insights can be effective, they barely scratch the surface.

Most teams resort to manual research—digging through LinkedIn, Glassdoor, earnings transcripts, podcasts, SEC filings, 10-Ks, and more—hoping to find that single nugget of information that will spark interest.

But manual research is slow, inefficient, and rarely scalable.

Autobound’s Custom Research blends the precision of analyst-level research with AI-driven automation, instantly giving you:

  • Complete audit of prospect social activity (LinkedIn posts, comments, competitor mentions)

  • Deep dives into Glassdoor reviews and employee sentiment

  • Earnings transcripts, 10-K, SEC filings, surfaced and summarized for relevance

  • Mentions from hard-to-reach sources like podcasts or niche publications

  • Analysis of competitor movements, industry trends, and hidden pain points your prospects face

In short, Custom Research gives your GTM teams the deep, nuanced insights they’d normally only get from a dedicated analyst—now available in seconds.

How It Works

Custom Research integrates seamlessly into Autobound’s existing workflow:

  • Step 1 – Import Prospects
    Import contacts via CSV, HubSpot, Salesforce, or through Autobound’s API.

  • Step 2 – Choose Your Template (or Go Custom)
    Start with proven templates like “Analyze Target Buyer Personas,” “Identify Competitors,” “Summarize Recent Company News,” or create your own custom prompt.

  • Step 3 – Instant Identity Mapping
    Autobound automatically matches your prospects using identifiers like email, LinkedIn URL, and company website.

  • Step 4 – Generate Research
    Hit run. Autobound’s AI engine immediately surfaces hyper-detailed research, tailored to your prompt, using data from across Autobound’s Insight Engine and broader web sources.

  • Step 5 – Export to Action
    Use generated research directly within personalized outreach, or leverage it as a powerful input to downstream actions (Insights → Personalized Content → Exports to Gmail, Outlook, HubSpot, Salesforce, Instantly, Outreach, and more).

Template Library: Your Starting Point to Advanced Personalization

Autobound’s Custom Research comes with built-in, battle-tested templates:

  • Company Fit Analysis: Instantly evaluate if a prospect aligns with your offering and uncover specific reasons why or why not.

  • Persona Breakdown: Surface primary buyer personas, key pains, and priorities based on their company context.

  • Competitor Landscape: Identify likely competitors and angles for positioning yourself to win deals.

  • News and Updates: Summarize recent public updates relevant to your prospect.

Our templates are a powerful on-ramp. Power users can leverage custom prompts, making Custom Research equally accessible for simple and highly sophisticated workflows.

Early Results: Speed, Quality, and Conversion Lift

Early internal usage at Autobound has already transformed our own GTM workflows. Our SDRs and marketers now:

  • Cut manual research time by 75% per prospect

  • Drive 3x faster campaign preparation (15 minutes down from an hour)

  • Achieve up to 25% lift in response rates by leveraging hyper-specific insights mined from deep sources (LinkedIn sentiment, Glassdoor, earnings trends)

Beyond these tangible metrics, Custom Research unlocks confidence. Your teams know exactly what to say, why it matters, and how it aligns with your prospect’s world.

OEM Opportunities: Embedding Autobound’s Custom Research

Autobound isn’t just for end-users. Our technology is built as a robust, embeddable infrastructure, enabling platforms, OEM customers, and partners to seamlessly integrate advanced prospect research into their own solutions.

Our OEM customers can run research deeply tailored to both buyer and seller, enriching their platforms and creating differentiation. This approach mirrors our successful work with TechTarget’s IntentMail—built on our proven insight infrastructure.

With Custom Research, OEM partners can now unlock hyper-contextual, buyer-specific research at scale, rapidly improving platform stickiness, retention, and expansion revenue.

The Autobound Moat: A Defensible Infrastructure

Autobound’s Custom Research leverages our existing insight infrastructure, including:

  • 350+ unique insights, continuously enriched (e.g., social signals, company growth patterns, hiring activity, technographics, financial events)

  • Proprietary methods to surface and interpret niche data—far beyond standard firmographic lookups

  • A unified, transparent, and affordable credit model (1 credit per research task), providing flexibility, fairness, and clear cost control

  • Easy-to-use API endpoints to programmatically embed research in your workflows

This unique infrastructure positions Autobound as an enduring, essential layer for personalized outbound sales.

Availability & Next Steps

Custom Research is currently available in beta to select users and will be rolled out to all Autobound users in the coming weeks. You can already see and configure Custom Research directly in AI Studio.

Ready to bring unparalleled personalization to your outbound? Sign up for Autobound today and stay ahead of the market.

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Daniel Wiener

Oracle and USC Alum, Building the ChatGPT for Sales.