Go-to-market strategy

Go-to-market for a new feature. Your existing customers are the audience, not an afterthought.

Go-to-market for a new feature means planning for an audience that already uses your product, not a net-new audience that has never heard of it. The plan runs through in-app messaging, customer success and release notes before it runs through paid acquisition, and it succeeds or fails on whether the right existing segment actually changes behaviour, not on how many people saw the announcement.

The short answer. A feature launch borrows the name, not the playbook, from a product launch.

A new product has to create awareness and demand from a standing start, usually for buyers who have never heard of the company. A new feature starts from a completely different position: the audience already exists, already trusts the product enough to pay for it, and is already doing something, often with a workaround the feature is meant to replace. Treating a feature launch like a smaller version of a product launch, a press-style announcement and a blog post, misses the actual job, which is getting a specific existing segment to change a habit.

Pendo's Feature Adoption Report, built from an aggregation of anonymised usage data across hundreds of software products, found that roughly 80% of features in the average product are rarely or never used after release, and that a small share of features, around 12%, account for the bulk of daily usage. That gap is rarely a quality problem with the feature itself. It is usually a go-to-market problem: the feature shipped, an announcement went out once, and the customers who would have benefited most never saw it at the moment they actually needed it.

How it works in practice. Four questions in order, before a single channel gets picked.

Who is this for, specifically. Not "our customers", a named segment: accounts above a certain size, users who hit a particular workflow, customers who raised the exact support request the feature answers. A feature built for enterprise admins announced to every free-tier user generates noise and confusion in roughly equal measure, and the admins it was actually built for can lose the announcement in the noise meant for everyone else.

What habit is it replacing. Most features that matter are replacing something, a manual export, a workaround built from two other features bolted together, a support ticket a customer files every month. Naming that workaround in the launch message is what makes a customer stop and try the new way, because it answers "why should I change what I'm already doing" before they have to ask it themselves.

Where will they actually see it. In-app messaging at the point the old workaround would normally happen beats an email that arrives on an unrelated Tuesday, because it reaches the customer at the exact moment the feature is relevant, not at a moment chosen by a sending schedule. Release notes and a changelog matter for the smaller group of customers who read them closely, usually technical buyers and power users, but they are a secondary channel, not the primary one, for anything meant to change broad behaviour.

Who internally needs to know before the customer does. Customer success and support should hear about a feature, and be able to answer basic questions about it, before it reaches a single customer. A support team learning about a new feature from a confused customer's ticket cannot help that customer well, and the first impression of the feature becomes "nobody here knows what this is", which is a worse outcome than a slower, better-prepared launch.

Sales deserves the same heads-up, for a different reason. A rep mid-negotiation with a prospect who has been waiting on exactly this feature needs to know it has shipped before the customer-facing announcement goes out, both to use it as a reason to move the deal forward and to avoid the awkwardness of a prospect discovering a feature from a changelog that their own rep never mentioned. The sequence that works is internal readiness first, in a specific order: support and success, then sales, then the wider customer base, each group given enough lead time to actually prepare rather than finding out at the same moment as everyone they are supposed to be ready to help.

QuestionWhy it comes before channel choice
Who is this for, specificallyDecides which segment the launch message targets, not the whole base
What habit is it replacingGives the message a reason to change behaviour, not just an announcement
Where will they see itIn-app, at the moment of relevance, usually outperforms a scheduled email
Who needs to know internally firstSupport and success need to be ready before a customer asks them anything

What good looks like. A worked scenario on a feature that launched twice.

A SaaS team I worked with, illustrative rather than a named client, shipped a bulk-editing feature aimed squarely at accounts managing hundreds of records at once, the exact customers who had been asking for it for months in support tickets. The first launch followed the standard playbook: a changelog entry, a short in-app banner shown to every logged-in user regardless of account size, and a line in the monthly newsletter. Usage after two weeks was close to flat, well under five percent of even the target segment.

Nothing about the feature was wrong. What had gone wrong was the targeting and the timing. The banner showed to every user once, including the large majority who had never asked for bulk editing and had no workflow it would improve, so most people who saw it correctly ignored it as irrelevant. The small number of large accounts it was actually built for had no particular reason to notice a generic banner among everything else competing for attention that week.

The relaunch targeted one thing differently: an in-app prompt shown specifically to users performing the exact repetitive single-record edit the feature replaced, triggered the moment they did it for the third time in a session, which is close to the moment the workaround becomes genuinely annoying. Within three weeks, adoption inside that specific segment passed seventy percent, not because the message got cleverer, but because it reached the right person at the exact moment the old way of working was actively costing them time.

The decision rule that came out of it: a feature launch message earns attention by interrupting a specific, named frustration, not by being seen by the largest possible number of people. A launch that reaches ninety percent of users and gets ignored by all of them has achieved less than a launch that reaches the right five percent and changes what they do.

One detail from that relaunch is worth naming on its own, because it is easy to miss: the trigger fired on the third repetitive edit in a session, not the first. An earlier version of the prompt had fired on the very first single-record edit of the day and was quietly dismissed by almost everyone who saw it, because a single edit does not yet feel like a problem worth solving. Waiting for the third repetition meant the prompt only appeared once the workaround had genuinely started to cost the user time and attention, which is the exact moment a better way of doing it actually lands. Getting that threshold right took two rounds of testing, not a guess on the first attempt, and it is the kind of detail a generic launch checklist never surfaces because it depends entirely on how that specific workaround actually felt to the people doing it.

Pitfalls to avoid. Where feature go-to-market plans quietly underperform.

The first pitfall is announcing to everyone because segmenting the message feels like extra work. It is extra work, and it is also the single step that matters most in the whole plan, because an unsegmented announcement competes for attention against every other unsegmented announcement a customer has ever half-read and ignored.

The second is launching once and calling it done. A single email or a single in-app banner reaches whoever happens to be looking at that exact moment. A feature built to change an ongoing habit needs to be visible at the moment the old habit recurs, which means a trigger tied to behaviour, not a single broadcast tied to a launch date.

The third is skipping internal readiness because the feature feels small. Even a minor feature generates support questions the moment a customer notices it, and a support team caught flat-footed by its own product turns a small feature into a visible internal credibility problem, well out of proportion to the size of the change.

The fourth is measuring success against the entire customer base rather than the segment the feature was actually built for. A niche feature built for a small, valuable segment should be judged against that segment's adoption, not against what percentage of the whole base tried it, because judging it against the wrong denominator makes a genuinely successful niche feature look like it failed.

The fifth, and the one that compounds the others, is treating a feature launch as a marketing deliverable owned entirely outside the product team. The product team knows exactly which behaviour the feature is meant to change and which segment feels that pain most, and a launch plan built without that input tends to default to the generic "announce to everyone" approach, because nobody closer to the problem was in the room to argue for something narrower and more useful.

The sixth is forgetting that an existing customer's tolerance for change is not the same as a new customer's appetite for novelty. Someone evaluating your product for the first time wants to hear about everything it can do. Someone who has built a working routine around the product for a year can experience even a genuinely useful change as a disruption if it alters a screen or a workflow they rely on daily without warning. Giving existing users a short heads-up before a change that touches their current workflow, even a small one, tends to matter more for retention than the feature's actual usefulness, because the complaint that follows an unannounced change is rarely about the feature itself, it is about not being told.

Common questions.

What is go-to-market for a new feature?

It is the plan for introducing a new feature to an existing customer base and, where relevant, to prospects evaluating the product. It differs from a product launch because the audience already uses the product, so the plan runs through in-app messaging, customer success and release notes rather than mainly through paid acquisition and press.

Why do feature launches fail to get adopted?

Pendo's Feature Adoption Report, built from an aggregation of anonymised usage data across hundreds of software products, found that roughly 80% of features in the average product are rarely or never used after release. Most of that gap traces back to a launch that announced the feature once rather than one that built it into how customers already work.

Who should hear about a new feature first?

Customer success and support, before the wider customer base. They field the questions the launch generates, and a team that only learns about a feature from a customer's support ticket cannot answer it well. Internal readiness should always come before external announcement.

How is a feature launch different from a product launch?

A product launch has to create awareness and demand from nothing, usually for a net-new audience who has never heard of the company. A feature launch starts with an audience who already trusts the product, so the job is less about generating attention and more about making sure the right existing users notice, understand and actually try the change.

How do you measure whether a feature launch worked?

Track adoption among the customer segment the feature was built for, not the whole customer base, and measure it against what that segment did before the feature existed, not against an arbitrary target. A feature used by 90% of the two accounts it was built for has worked; the same feature used by 5% of your entire base has not necessarily failed.

Shipped a feature that launched once and went quiet?

Tell me who the feature was actually built for, and I'll tell you whether the problem is the feature, the targeting, or the fact that it only ever got announced once.

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