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    Strategy & Moats
    Mid
    Global · Global

    Switching Costs

    Also called: Lock-in, Switching cost

    TL;DR

    The financial, operational, or psychological cost a customer would pay to switch from one solution to a competing one.

    Switching costs are everything that makes leaving expensive: data migration, retraining, integration rebuilds, contractual penalties, lost workflows, lost institutional memory, and the political cost of admitting the original choice was wrong. High switching costs make customers stick even when a competitor has a marginally better product.

    Software companies often engineer switching costs deliberately through deep workflow integration, accumulated user data, and custom configurations. The strongest switching costs are the ones the customer creates themselves through use.

    Worked example

    A finance team using NetSuite has 5 years of customizations, 12 integrations, and a custom chart of accounts. Switching to Sage Intacct quotes at $400k of consulting + 9 months of project work + retraining 40 people, the switching cost preserves Oracle's pricing power.

    Common pitfalls

    • Confusing contractual lock-in with structural switching cost.
    • Engineering switching costs that anger customers without retaining them.
    • Failing to update the moat as deployment models evolve.

    When this shows up in a pitch deck

    Defensibility slides cite specific switching cost mechanisms and ideally show how they compound with usage.

    See Switching Costs in context

    Switching Costs shows up most often in these scoring rubrics and investor profiles, jump straight to who cares about it and how to pitch them.

    Related terms

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