TL;DR: To increase active users, start by fixing onboarding friction so signups actually reach their first win. Then run direct outreach to dormant users, build organic loops through referrals and content, and add in-product retention hooks. Track DAU and MAU separately. they reveal different problems. The bottleneck for most founders is execution time, not strategy.

How to Increase Active Users: Proven Tactics for Startup Founders

Last updated: June 2026

Active user count is the clearest early signal of product-market fit. In 2026, investors and growth teams watch it weekly because it separates one-time signups from users who actually get value. Getting that number up requires both acquisition and retention, and the tactics for each are different. Most startups focus on acquisition and neglect activation. which means new signups churn before they ever count as active.

What counts as an 'active user' and why you need to track both DAU and MAU

An active user is someone who meaningfully interacts with your product in a given period. The exact definition varies by product: for a messaging app, sending a message counts; for a project management tool, opening a workspace might. Vague definitions inflate numbers. A user who logs in but does nothing is not active in any useful sense.

Most product teams track two numbers. DAU (daily active users) measures habit formation. how many people come back every day. MAU (monthly active users) measures broader retention. how many people get enough value to return within the month. Tracking only one misses problems. A stable MAU with a declining DAU usually means users are losing the daily habit, which leads to churn later. You need both numbers and you need to watch them over time, not just in aggregate.

Fix Your Onboarding Before You Do Anything Else

Research consistently shows that 80% of users who delete an app cite poor onboarding as the reason. Before you invest in acquisition, referrals, or re-engagement campaigns, audit your onboarding flow. A new signup who doesn't reach their first win in session one rarely comes back.

The goal of onboarding is to get users to an "aha moment" as fast as possible. That means removing every piece of friction between account creation and the first time the product delivers value. A few specific places to look:

Reduce signup friction. Most registration flows ask for too much upfront. Request only what you need to create the account. Social sign-in (Google, GitHub, LinkedIn depending on your ICP) removes a significant barrier and consistently improves conversion rates into the product.

Tackle the empty state. When a new user finishes setup and sees a blank workspace, many feel lost and leave. Pre-populate the interface with realistic demo data and walk users through it. Show them what the product looks like when it's working, not when it's empty.

Add tooltips and guided walkthroughs. Don't assume users will figure out where to click. Tools like Pendo, Appcues, or a simple custom tooltip chain can guide new users to the feature that delivers value fastest. Grammarly does this well: new users are dropped into a document with common mistakes highlighted, showing the tool in action rather than describing it.

Build an onboarding drip sequence. Not every user will complete onboarding in the first session. A short email sequence (3 to 5 emails over the first two weeks) that surfaces tips, reminds users of the product's value, and gives them a reason to return can recover a meaningful percentage of dropouts. This is one of the highest-ROI investments an early-stage startup can make in user growth.

Win Back Dormant Users with Direct Outreach

For most startups, the fastest path to more active users is not acquiring new ones. It's activating the people who already signed up.

Define "dormant" clearly for your product. A reasonable starting point: users who completed signup but have had no meaningful activity in the past 30 days. That threshold varies. a weekly-use tool might define dormant at 14 days, while a quarterly-use tool might extend to 60. The specifics matter less than picking a definition and sticking with it.

Once you have the list, segment it before you reach out. Users who completed onboarding and used the product briefly have different objections than users who signed up and never logged back in. Sending the same message to both groups will underperform on both.

For each segment, write outreach that references something specific: a new feature that directly addresses the most common reason that type of user went dormant, a case study showing what someone like them did with the product, or a direct question asking what got in the way. "We noticed you set up your account but haven't used [Feature X] yet. here's a short walkthrough" outperforms "We miss you! Come back!"

The tools for sequencing this outreach (HubSpot, Mailchimp, Brevo) are widely available. The bottleneck is almost always the list preparation and the message writing. Building the segment, pulling it, enriching it with enough context to personalize, and then managing the replies is real execution work that eats founder time.

Direct outreach consistently outperforms broadcast re-engagement campaigns for this use case. If you have fewer than 500 dormant users, consider writing individual emails. Above that, automated sequences with light personalization get most of the benefit at a fraction of the time.

Build Organic Growth Loops: Referrals, Content, and Community

Organic growth compounds over time in a way that paid acquisition doesn't. The three highest-use organic loops for early-stage startups are referrals, content, and community.

Referral programs work because they put your distribution into the hands of people who already believe in the product. The mechanics need to be simple: one shareable link, one clear reward, easy to share via email or social. The reward can be account credits, extended trials, or feature enables. but it needs to be something the referrer actually values. Complicated multi-tier referral structures consistently underperform simple one-step programs.

Content marketing drives organic discovery when you publish content that answers the questions your ICP is actively searching for. A blog post targeting a specific query ("how to [task your users are trying to do]") can bring in new signups for months after it's published without ongoing spend. The work is in finding the right keywords, writing the post, and publishing consistently. Results are slow at first and compound over six to twelve months.

Community gives users a reason to return that lives outside the product itself. A Slack group, Discord server, or niche forum where your users share tips, ask questions, and connect with each other builds an identity layer around the product. Duolingo's league tables and learning forums are an extreme example, but even a modest Slack group of 50 active users creates stickiness that the product alone might not.

The real cost of all three tactics is execution time. Founders end up writing blog posts, managing referral tracking spreadsheets, and posting daily in community channels. The strategy is straightforward. The grind of doing it consistently is not.

In-Product Retention Hooks That Drive Daily Habits

Product-side retention is about creating reasons for users to return before they drift away. The tactics that work best create real value on each visit rather than just nudging users back for its own sake.

Push notifications are the most direct tool for pulling users back into the product. They work when the message is relevant to the individual user's behavior and delivered at a time when they're likely to act. They fail when they're generic or sent too frequently. Research shows that a single irrelevant push notification per week is enough for 10% of users to disable notifications from an app entirely. Segment by behavior and test timing before scaling.

Duolingo's approach is instructive: their notification content and timing adapt based on each learner's past usage, streak length, and upcoming league deadlines. The notification feels personal rather than automated. That's a useful north star for any product with a daily habit component.

Gamification ties return visits to a sense of progress. Points, badges, streaks, and leaderboards work because they make the product feel like something with a score. Khan Academy's energy points and Duolingo's streak system both increase DAU by making users feel that skipping a day has a cost. The mechanic needs to match your product's natural rhythm. streak mechanics only make sense when daily use is the goal.

Personalized recommendations keep the product fresh. Spotify's music suggestions work because they surface new content based on established preferences. If your product has enough usage data to infer what a user might want to do next, surfacing that suggestion removes the "what do I do now?" friction that often causes users to leave.

Every retention hook should deliver value. If a feature exists primarily to generate engagement metrics rather than to help users accomplish something real, users notice.

Handle the GTM Busywork Behind Growing Your User Base

Onboarding fixes, referral programs, in-product retention hooks, and content loops handle the strategy. But growing active users also involves persistent execution work: building re-engagement lists, writing content week after week, running outbound to dormant users, tracking which referral sources actually convert, and monitoring signals that tell you when someone is ready to return.

Miniloop handles that busywork. We build and run growth execution workflows for your team:

• Re-engagement outbound. Pull dormant users from your CRM, enrich them with usage context and ICP signals, segment by where they dropped off, and push into an outbound email sequence with personalized openers. We manage the list, the segmentation, and the sequence.
• Weekly content production. Draft and publish blog posts targeting the queries your ICP searches, keep the publishing cadence consistent, and push directly to your CMS (WordPress, Sanity, Webflow, Contentful).
• Referral tracking and follow-up. Build referral tracking infrastructure, automate welcome emails to referred signups, and surface which channels are producing users who actually stay active.
• Signal-based prospect sourcing. Watch for hiring signals (growth hires, new funding rounds) and competitor engagement signals, then surface ready-to-switch prospects as outbound targets.
• Reporting. Weekly digests on which growth channels are moving DAU and MAU, delivered to Slack or email.

Whether you are running these workflows yourself, building a growth team, or figuring out which ones to prioritize first, Miniloop handles the execution so you can stay focused on the product.

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Track the Metrics That Show Where Growth Is Stalling

Data tells you where the problem is. Without the right metrics, you can run every tactic in this guide and still not know whether your active user count is actually improving or just masking churn with new signups.

Track DAU and MAU separately. A stable MAU with a falling DAU means users are losing the daily habit before they churn. Catching that early gives you time to intervene with retention hooks or re-engagement campaigns before the MAU number starts to fall.

Calculate your stickiness ratio. Stickiness = DAU divided by MAU. For most B2B SaaS tools, anything above 20% is healthy. Products like Slack or Notion that sit at the center of daily workflows often hit 40 to 50%. Below 10% signals that most monthly users are not forming a daily habit.

Set up cohort tracking. Rather than watching aggregate MAU, track how groups of users who signed up in a given month behave over the following 90 days. Cohort analysis reveals whether new signups are activating and staying, or activating briefly and churning. It also tells you whether changes you made to onboarding or the product are actually improving retention.

Use the right tools for the job. PostHog gives you product analytics and cohort tracking with a generous free tier. Baremetrics connects to your payment provider and shows subscription-linked active users alongside revenue metrics. Google Analytics is a reasonable starting point if you're not ready to add another tool. The specific tool matters less than reviewing the numbers weekly and connecting them to the tactics you're running.

Share your weekly active user metrics with the whole team. Visibility creates accountability and surfaces ideas for what to try next.

Related Reading

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• Buyer Intent Signals: What They Are and How to Act on Them in B2B
• B2B Intent Data: What It Is and the Top Platforms in 2026
• How to Increase Blog Traffic in 2026: A Practical Guide

Related Resources

• Platform - How Miniloop's GTM agent platform works