Outside Partner vs. In-House Team: A Decision Framework for B2B Founders
When should a B2B company use an outside partner vs. build in-house? Here's a decision framework based on stage, function, and economics, not ideology.
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DGTL Blog
What we learn where the practices meet: engineering, AI, growth, and security, one post a week.
When should a B2B company use an outside partner vs. build in-house? Here's a decision framework based on stage, function, and economics, not ideology.
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Generative Engine Optimization for B2B: how AI assistants choose sources, content patterns that earn citations, llms.txt, and measuring AI-referred traffic.
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Not all technology consulting partners are equal. Here's a practical framework for evaluating them, including the red flags that signal you'll waste money.
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A practical guide to B2B product MVP development: architecture decisions, tech stack, timeline, and cost, from a team that's shipped them for fintech, healthtech, edtech, and commerce companies.
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When should you hire a fractional executive vs. a full-time one? What does it cost? What do they actually do? A practical guide for B2B SaaS founders.
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How we moved dgtl.io to withdgtl.com without losing rankings: an 87-reference audit, 301 strategy, Search Console change of address, and DKIM continuity.
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The EU AI Act is here. NIST has published its AI Risk Management Framework. Here's what B2B companies deploying AI features actually need to do, before compliance becomes mandatory.
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B2B attribution after iOS privacy changes and third-party cookie loss: first-party capture, consent mode, UTM discipline, and what to measure instead.
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The old outbound playbook is dead. Here's how B2B companies are using AI-powered tools like Clay, Apollo, and intent data to build outbound engines that generate 12%+ reply rates.
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