Trade swag for a product install

Trading swag for a product install means you give a physical item, such as a shirt, only to people who sign up and finish the setup step that makes your product useful. New Relic offered a free Data Nerd shirt to anyone who created an account and deployed its agent. A swag vendor reports that qualified leads, defined as agent installs, rose 30% as a result.

How it works

The offer turns a loose signup into one specific action. New Relic is an application performance management company. For a monitoring tool, the install is the step that makes the product useful. Printfection's write-up of the campaign describes the parts of the campaign:

1. Gate the reward on the install, not the signup. The shirt required both an account and a deployed agent.
2. Show the offer where prospects already look. New Relic placed the shirt at the bottom of its homepage, with the steps to earn it.
3. Nudge after signup. An automatic email went to each new account, pushing the user to install.
4. Chase the drop-offs. People who visited the offer page but did not convert saw display ads for the giveaway.

We would add a fifth step: confirm the install from your own product data before you ship anything. The shirt rewards the action that leads to value.

The offer also sat on top of a product designed to show value fast. Lew Cirne has said New Relic aimed to impress new users within 60 to 180 seconds of signup, as he explained in an interview on scaling a company the second time. Swag can get someone to install. It cannot make the product good once installed. See the New Relic case page for the full summary.

What it takes

Our estimate: about 30 hours of work, and about 21 days before you can read a signal. The hours go into a product event that confirms the install, a claim form tied to that event, one offer block on your site, a change to your post-signup email, and a fulfillment setup with a vendor. Retargeting adds a few more hours if you already run display ads. The signal takes a few weeks because you need enough signups to pass through both cohorts, and some users install days after signing up.

What to measure

The main number is signup-to-install rate, compared against a holdout that never saw the offer. A before and after comparison on its own can mix the offer up with seasonality or other launches. Define install the same way your activation metric does. If you have not set one, the activation rate guide explains how.

Track the median days from signup to install. A good reading is a shorter gap in the offer cohort, which points to a better time to value. A bad reading is more installs with no change in timing, which can mean people install only to claim and then stop.

That is why 30-day retention of offer installs matters too. If those users drop off faster than the holdout, you paid for empty installs. Read it by signup cohort, as the retention curve guide describes.

Finally, count the full cost per incremental install, and check what share of claimants fit your target buyer.

When it backfires

• The item attracts the wrong people. A shirt that suits your buyer works as a filter. The Data Nerd framing suited an audience of software engineers. A generic gift draws collectors who never return.
• The install is easy to fake. If claiming needs only a form or a trivial action, people will game it. Verify the real event before you ship.
• The product fails after install. The reward ends at the install step. If users hit a wall in the first session, you have bought churn.
• Shipping costs grow faster than value. International orders, returns and size swaps add cost that rarely shows up in the first estimate.
• You mistake it for a growth engine. New Relic's early traction included a partnership with a big Rails hosting company that brought the product to 400 customers on day one. The shirt was an activation tactic, not the base of the business.

Run it as an experiment

Hypothesis: offering a branded item for completing the install raises signup-to-install rate within 14 days, without lowering 30-day retention.

We recommend a split at signup, half of new accounts in each arm. The holdout gets your normal post-signup email with no offer, and does not see the offer block. Use the sample size calculator to set how many signups you need before you look. The onboarding email sequence template helps you write the nudge email for the offer arm.

Log signup time, arm, install time, claim time, item and shipping cost, country, and activity at day 7 and day 30. Our suggested decision rule: keep the offer if install rate is clearly higher in the offer arm, 30-day retention is no worse than the holdout, and cost per incremental install beats what you pay for an install through other channels. Stop it if retention falls. For the full write-up format, follow how to run a growth experiment.

How strong the evidence is

This is a practitioner report: the numbers come from a third-party write-up, and nothing here was published by New Relic itself. The one result, a 30% rise in qualified leads, comes from a swag vendor's own case study. The write-up gives no baseline install rate, no time window, no control group, and no figures on retention or revenue from those installs. New Relic's own about page describes its observability platform, its customers and its $0.40/GB pricing, but says nothing about the shirt. Treat the case as a sign that the idea is worth testing, not as proof it will work for you.