A founder with a small budget and several tool tabs open should start with growth hacking tools for measurement and testing, then add acquisition or retention tools sequentially, keeping each only if it moves a metric the team agreed in advance.
This guide supports our broader advice on how to grow a startup, and it focuses on which tools to try, in what order, and how to prove they pay their way.
What growth hacking tools are for
Growth hacking tools are the software that lets a small team run cheap, measurable experiments. Optimizely’s glossary describes growth hacking as the use of resource-light, cost-effective marketing tactics to grow and retain an active user base, and notes it is most commonly associated with startups and small businesses. The term was coined in 2010 by Sean Ellis, according to LinkedIn’s marketing terms guide.
That definition clears up most of the confusion about tools. A tool is not a growth tactic by itself. It is the instrument that collects data, delivers a tactic or tests whether the tactic works. The table below sets the common misunderstandings against what the definitions support.
| Common misunderstanding | What is supported | Planning use |
|---|---|---|
| Growth hacking means clever shortcuts. | Data is at the heart of growth hacking, and hacks must be tested to determine what is effective. | Judge every tool by test results, not by how new or popular it is. |
| The right tool can rescue a weak product. | A successful growth strategy requires product-market fit. | Delay paid acquisition tools until users show the product is wanted. |
| It is only for companies with large budgets. | It is most commonly associated with startups and small businesses. | Favour lightweight, low-cost tools that a small team can run itself. |
| A tool is working if it produces activity. | Accurate tracking of a hack’s performance supports provable ROI. | Keep only tools that report results you can read and compare. |
Definitions and framing in the table come from Optimizely and LinkedIn.
Which growth hacking tools to try first
Try measurement first, because every other tool is only as useful as your ability to read its effect. Order the rest by the stage your product is in rather than by what other startups are using.
Before product-market fit
Growth optimization assumes the product already fits its market, so at this stage the useful tools are the ones that help you learn, not scale. Basic web or product analytics, a simple way to capture leads, and a spreadsheet or lightweight CRM are enough. Heavy spending on traffic at this point mostly measures a product problem at a higher price.
After fit, while testing channels
Once users clearly want the product, add the tools that test and acquire:
- Analytics: event and funnel tracking shows where visitors or new users drop off. It is the foundation for every later decision and the first thing to set up.
- A/B testing: Optimizely points to an intrinsic link between growth hacking, A/B testing and optimization. A testing tool turns an opinion about a headline or page into a measured result.
- CRM: a CRM records where each lead came from and what happened next. LinkedIn notes that campaign reporting and conversion tracking tools help growth marketers monitor and nurture new lead captures, so connect the two.
- One acquisition channel: pick the channel your audience already uses and test it alone, so the result is not blurred by other changes.
When the funnel is working
Add retention tooling once you can see who signs up and who stays. Lifecycle messaging, feedback surveys and cohort views then become worth their cost, because there is a baseline to improve against.
Choosing growth tools on a small budget
On a small budget, buy the cheapest tool that answers the question you currently have, and decline anything that answers questions you are not yet asking. This matches the resource-light, cost-effective spirit in Optimizely’s definition of growth hacking.
Use these filters before you commit to any tool:
- Cost against the stage: check the vendor’s current pricing page and documentation, and ask whether a free or entry tier covers what you need now. Pricing changes often, so do not rely on figures quoted in older articles.
- Speed to a first experiment: prefer tools you can set up and run without custom engineering, since a tool that takes long to configure delays the learning it was bought for.
- Measurability: the tool should report the metric you care about, in a form you can compare with a baseline.
- Fit with your existing data: a tool that connects to your analytics and CRM saves manual reconciliation and avoids conflicting numbers.
A useful rule is to limit how many tools are active at each stage and to give each an owner. Fewer tools force focus and keep spending visible. This is a practical judgement rather than a measured threshold, so adjust it to your team’s size.
Acquisition tools versus retention tools
Acquisition tools bring new people in, and retention tools bring existing users back. The split matters because they are judged by different numbers.
Acquisition
Acquisition tools include paid advertising, search and content tools and referral mechanics. LinkedIn’s guide notes that paid ads on platforms like LinkedIn can be bought in text, display and video formats, so the format itself is a variable you can test. Judge acquisition tools by what each new customer costs; our customer acquisition cost formula explains how to calculate that figure so a channel can be compared with its payback.
Retention
Retention tools include lifecycle email, in-app messages, feedback surveys and cohort analysis. Retargeting sits between the two. LinkedIn describes its Insight Tag as tracking visitor data and using past interactions to retarget or enhance other paid ads, which re-engages people who have already shown interest. For tactics aimed at churn in subscription businesses, see B2B SaaS Customer Retention Strategies: Proven Tactics To Reduce Churn And Grow Lifetime Value In 2026 – Startalliance.
Proving a tool earns its place
A tool earns its place when a controlled test shows it moved a metric you named before the test began. Optimizely describes a disciplined process: prioritize ideas, test them, and keep or cut each one based on the results.
- Name one metric and a baseline. Record the current number before switching the tool on, using your analytics.
- Write the hypothesis. State what the tool should change and by roughly how much, so you have a decision rule instead of a reaction.
- Run a controlled test. Where possible compare a version with the tool against one without. LinkedIn notes that growth experiments help measure and optimize the impact of ad or landing page design elements such as headlines, copy and images.
- Track accurately. Optimizely ties accurate tracking of a hack’s performance to provable ROI, so confirm conversion events fire correctly before trusting the result.
- Keep or cut. If the metric moved as hypothesized, keep the tool and consider the next step. If not, stop paying for it and write down what you learned.
Keep the test window fixed in advance and avoid changing other things during it. A tool that merely looks busy, with many reports and little change in the baseline, has not earned its place.
Frequently asked questions
| Question | Answer |
|---|---|
| Are growth hacking tools only for startups? | No. The approach is most commonly associated with startups and small businesses, but the same test-and-measure logic applies to any team that wants cost-effective growth. |
| Where does a CRM fit among growth tools? | A CRM holds lead and customer records, so it links acquisition sources to later behaviour. Connected to campaign reporting and conversion tracking, it helps monitor and nurture new leads. |
| Who coined the term growth hacking? | LinkedIn’s guide credits Sean Ellis, cofounder of GrowthHackers, with coining it in 2010. |
| Do I need A/B testing software before anything else? | Not before analytics. Set up tracking first so you have a baseline, then add testing when you have enough traffic and a specific change to compare. |
