I measure developer acquisition by working integrations - not signups. Start with one use case, one success event, and one channel test. For an API product, that event might be a developer’s first successful API call.
My approach connects the whole path:
- Discovery: Reach developers through feeds, newsletters, communities, search, and AI assistants.
- Evaluation: Send them to docs and technical pages that match their problem.
- Activation: Provide runnable quickstarts, clear setup steps, and free access to test the product.
- Referral: Help active users share templates, projects, and team invitations.
I use a 90-day plan: 30 days to check tracking and fix setup, 30 to test ads and pages, and 30 to expand campaigns that produce active users. I compare cost per activated user, time to first value, and retained usage - not clicks alone.
Keep attribution and lift separate. Tracking links show where users came from; a holdout helps test whether the campaign caused more developers to activate.
2. Choose channels and metrics for each funnel stage
Define qualification before choosing channels. Set three criteria: audience fit, one product event that shows value, and an activation window that matches the evaluation cycle. In 2026, discovery also includes AI-assisted research. Developer discovery in 2026 explains where these touchpoints fit.
Use this table to give each funnel stage a channel mix and a primary success metric.
| Stage | Priority channels | Primary metric | Supporting metric |
|---|---|---|---|
| Discovery | Developer feeds, newsletters, technical communities, search discovery, AI assistants | Qualified visits | Cost per qualified visit, content engagement |
| Capture | Documentation SEO, API references, technical landing pages, retargeting | Qualified signup rate | Landing-page conversion, documentation start rate, form completion |
| Activation | Quickstarts, onboarding, sandbox, free tier, lifecycle email | First meaningful product event, such as first API call, within the agreed window | First API-call success rate, setup completion |
| Referral | Open source, public templates, community participation, team invitations | Referral-sourced activated users | Share or invite rate, referred signup rate, referred activation rate |
Connect channel reporting to product events to check acquisition quality. Carry UTMs, campaign IDs, creative IDs, referral codes, and landing-page context through signup. Then map them to server-side events such as account_created, api_key_created, first_successful_api_call, integration_completed, and referral_signup.
Report results by channel, campaign, audience, landing page, and cohort. Compare acquisition cohorts using the same activation window so the comparison stays consistent. Use a consent-aware pixel or first-party setup for attribution, plus holdouts or geo tests to measure incrementality.
Here’s how those funnel stages map to daily.dev Ads formats.
Reach relevant developers with daily.dev Ads
daily.dev Ads supports targeting by tech stack, seniority, geography, and interests. Focus on developers who can use your product and regions you can support.
Use In-Feed Native Ads for focused technical offers. Give readers a direct path to a quickstart, documentation page, or trial, and make sure the destination delivers what the ad promises. Measure qualified visits and downstream activation - not just CTR.
Use Sponsored Content for technical education, explaining a problem, and distributing in-depth resources such as tutorials or migration guides. It includes guaranteed distribution, a read-floor commitment, and canonical republishing. Track readership alongside documentation visits, signups, and assisted conversions.
Match ad formats to campaign goals
Once you’ve chosen the channel, match the ad format to the campaign goal.
Use Engagement Ads for topic-level interaction, Newsletter Ads in the Digest by topic track for recurring awareness, and Homepage Sponsorship for broad visibility. Engagement Ads include Branded Tags, Keyword Spotlights, Custom Upvotes, Tag Page Takeovers, and Stack Placements.
Use Agent Ads for early AI visibility on the daily.dev pages AI agents read. They’re in early access, so treat them as an emerging channel - not a proven activation benchmark.
Assign each format a success event. Use the buyer evaluation resource to guide questions about targeting, measurement, and distribution commitments.
3. Turn technical interest into active users and referrals
Help developers find useful documentation
In 2026, docs often make the first sales pitch. Once someone lands on your site, your documentation needs to help them evaluate the product. Focus on use-case pages, installation instructions, authentication examples, API references, migration guides, and troubleshooting.
Point each technical article toward the next implementation step. Then track documentation-to-signup and documentation-to-activation rates by entry page.
Help users reach first value through onboarding and free tiers
The next test: can users complete setup without help? Place a copy-paste request near the top of the quickstart. Include environment-variable instructions, expected output, and fixes for authentication and quota errors.
Measure time to first successful API call from a consistent starting point, such as account creation or credential creation. A deployed integration is a stronger signal of retention.
Your free tier should let users test the core use case without talking to sales. Show limits, production requirements, and upgrade paths before setup begins. Developer onboarding as a marketing channel and Product-led growth for developer tools explain how self-serve evaluation supports acquisition and production adoption.
Help active users share their work
After activation, make successful workflows easy to reuse and share. Turn working integrations into documented open-source repos, templates, and community answers. Include prerequisites, version compatibility, environment-variable instructions, a license, and a link to the relevant quickstart. Never include credentials or customer data.
Pass a template or referral identifier through to signup. Then measure referral-sourced activated users and retained usage after 7, 14, or 30 days. Stars and forks show interest - not acquisition success.
4. Build and measure a 90-day acquisition plan
Days 1–30: set up tracking and fix onboarding
Give growth, demand generation, and product one measurement plan and one source of truth. Before launch, define activation, what makes an account qualified, event owners, and reporting windows.
Audit the consent-aware pixel and validate events across the ad platform, analytics tool, and product database. Keep campaign IDs attached through signup and account creation where consent allows, and check for duplicate events.
Set a baseline for each channel, including activated-user rate and time to first API call. Review where users get stuck during first use, then fix the setup step with the largest drop-off.
Before spending, work with an analyst to agree on a feasible randomized holdout, sample size, minimum detectable effect, and stopping rule. Exclude the control group from overlapping campaigns where possible, and record any exposure you can’t prevent. Allow for delayed activation in the test window.
If volume is too low, extend the test or report uncertainty - don’t claim lift. With this baseline in place, the next 30 days can provide a clean test of ads and landing pages.
Days 31–60: test ads and technical landing pages
With tracking fixed, test one use case per campaign with daily.dev Ads, paired with one matching technical landing page per test. Use In-Feed Native Ads for discovery or Sponsored Content for deeper education.
Keep campaign and page-variant IDs distinct. Leave docs, SEO, examples, and community content unchanged to isolate the paid tests. Protect the holdout, and compare cost per activated user and activation rate across cohorts using equal observation windows.
Days 61–90: scale campaigns that drive activation
Once tests have enough volume, review attributed and incremental results separately each week. Include sample sizes, uncertainty ranges, consent gaps, and checks for campaign overlap.
Calculate cost per activated user by dividing campaign spend by attributed activated users.
Increase investment only where activation, retained usage, and referrals support it. Keep an untreated group where practical. Test onboarding changes separately, or stagger them with media changes. If you change both together, label any improvement as a combined effect.
At day 90, judge only cohorts that have completed the activation window. Use that review to move winning campaigns, landing pages, and onboarding fixes into the continuing acquisition plan.
5. Make acquisition a repeatable process
After the 90-day plan, turn the acquisition setup that worked into a repeatable loop: audience, channel, page, activation event, and follow-up action. Put the working docs, sandbox, and free-tier flow into one template.
Start with one use case, one activation event, and one discovery test with a holdout. Keep the ad, technical page, and quickstart focused on the same problem. This makes new tests faster to launch and easier to compare.
Create a brief for each test that covers the audience, message, channel, landing page, activation event, result, and next decision. Give one person ownership of keeping it updated so the next campaign builds on the last test’s results.
For help shaping your first discovery test, schedule a conversation about daily.dev Ads.
FAQs
How do I define activation for a non-API product?
Define activation as a single measurable milestone that marks a developer’s first moment of value. That could be a successful project deployment, a completed core configuration, or a first meaningful output.
Track the milestone with a conversion pixel. Then use In-Feed Native Ads on daily.dev to send developers to the landing page, documentation, or sandbox where activation takes place. Test one audience and one conversion goal over four to six weeks to assess your messaging and onboarding.
How can I measure lift with low conversion volume?
When conversion volume is low, focus on incrementality testing and view-through attribution, not click counts. Before launch, install a conversion pixel to track product actions, such as first API calls or deploys. Choose one clear conversion goal so you know what you’re measuring.
Use a holdout group or geo-split test to compare results against a baseline. This helps separate the impact of your ads from organic activity.
When should I scale ads versus fix onboarding?
Scale ads only after you’ve confirmed that onboarding turns traffic into active users. Before increasing spend, install a conversion pixel to track activation milestones, such as a first API call or deployment. Then run a four- to six-week test with one audience to set a baseline.
High click-through rates paired with low conversion rates mean you should fix onboarding or your landing page before scaling. Keep testing and making adjustments so you don’t waste ad spend.