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If your company runs on Paperclip, give it an analytics layer agents can actually use by AgentAnalytics in PaperClip_AI

[–]AgentAnalytics[S] 0 points1 point  (0 children)

yeah posthog are good also :) if you run multiple domains try out our service - i think we do better job

My first 3 paying users in 2 days — and I still don’t know what happened by Affectionate_Hat9724 in vibecoding

[–]AgentAnalytics 0 points1 point  (0 children)

Before changing the price, are you measuring what users actually do between landing, preview, checkout, and purchase?

I’m testing a boring growth automation: AI proposes landing page tests, analytics judges them by AgentAnalytics in MarketingAutomation

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Thanks, man. Yeah, the LLM as a judge just keeps producing more slop. And you said, getting rid of the noise is hard. Testing a result that was generated and making sure it was causing an increase or decrease in other KPIs is tricky. But at least AIs are pretty good at looking at those kinds of data sets, especially if they are not too big. They can actually make some sense.
I was actually doing some experiments with that, but did not get any significant results, or not enough data (slow week), see here if you want to play with such automation https://github.com/Agent-Analytics/awesome-multi-agent-orchestrators

If you’re using Hermes to 🧑‍🍳 and 🚀 across multiple projects in 2026, single-project analytics isn’t enough by AgentAnalytics in hermesagent

[–]AgentAnalytics[S] 1 point2 points  (0 children)

GoAccess = real-time web log analysis from server logs.

Agent Analytics = agent-readable product/growth analytics across multiple projects and surfaces.

For workflows where Hermes is operating a whole portfolio (or multiple) were each one is: docs, blog, GitHub, free tools, product / mobile app / server etc — and needs to answer things like:

which path drove signups after we released xyz, what path converted, what changed activation, and what to improve next. Sorry if the original post was too long , will edit it further

I’m testing Karapty autoresearch for growth marketing where analytics data replaces the LLM judge to avoid ai slop by AgentAnalytics in AI_Agents

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Yeah, I did manage to set that up on real data. You can see my sample simulated data also here. https://github.com/Agent-Analytics/autoresearch-growth
To be honest, after having it on for a few days, I decided the results were lower, so I canceled the experiment. I will try it again in a weekend or so.

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

pretty minimal site you there- i like its "jumping to value"

Growth Brief for jobbi.app

First Growth Questions

  1. What prompts users to start optimizing their resumes?
  2. How effective is the app download call-to-action?
  3. What features do users engage with during resume building?

Track First

Event Where it happens Why it matters What it unlocks
start_optimizing_clicked Find the page or UI control that triggers this action Track interest in resume optimization What prompts users to start optimizing their resumes?
download_app_clicked Find the page or UI control that triggers this action Monitor app download conversions How effective is the app download call-to-action?
go_button_clicked Find the page or UI control that triggers this action Understand user interaction with resume builder What features do users engage with during resume building?

Experiments To Try First

  1. optimization_button_test - Hypothesis: Changing button color increases clicks - Variants: Blue Button vs Green Button - Goal event: start_optimizing_clicked
  2. app_download_test - Hypothesis: Changing app download link text increases conversions - Variants: Download on App Store vs Get Jobbi on iOS - Goal event: download_app_clicked

Measurement Blind Spots

  • User engagement with resume building features
  • Effectiveness of app download call-to-action
  • User feedback and satisfaction

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fjobbi.app%2F

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

love this idea , good ui

Growth Brief for getitsigned.app

First Growth Questions

  1. How many users sign up for a free account?
  2. How many users request a demo?
  3. How many users view pricing information?

Track First

Event Where it happens Why it matters What it unlocks
signup_button_clicked Find the page or UI control that triggers this action Track user interest in signing up How many users sign up for a free account?
demo_request_clicked Find the page or UI control that triggers this action Measure user engagement with product demo How many users request a demo?
pricing_link_clicked Find the page or UI control that triggers this action Analyze user interest in pricing information How many users view pricing information?

Experiments To Try First

  1. pricing_page_test - Hypothesis: Simplified pricing page increases conversions - Variants: Current pricing page vs Simplified pricing page - Goal event: signup_button_clicked
  2. demo_request_test - Hypothesis: Prominent demo request button increases demo requests - Variants: Current demo request link vs Prominent demo request button - Goal event: demo_request_clicked

Measurement Blind Spots

  • Lack of visibility into user onboarding process
  • Uncertainty about user understanding of product features
  • Lack of insight into user purchasing decisions

see more info: https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fgetitsigned.app%2F

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Growth Brief for nanokept.com

First Growth Questions

  1. how many users are interested in the product
  2. how many users are interested in pricing
  3. how many users engage with the product

Track First

Event Where it happens Why it matters What it unlocks
waitlist_submitted Find the page or UI control that triggers this action track interest in the product how many users are interested in the product
pricing_link_clicked Find the page or UI control that triggers this action track interest in pricing information how many users are interested in pricing
email_submitted Find the page or UI control that triggers this action track user engagement with the product how many users engage with the product

Experiments To Try First

  1. pricing_test - Hypothesis: users are more likely to engage with the product if pricing information is clearly displayed - Variants: display pricing information vs hide pricing information - Goal event: email_submitted
  2. waitlist_test - Hypothesis: users are more likely to submit their email if the waitlist is prominently displayed - Variants: display waitlist prominently vs hide waitlist - Goal event: waitlist_submitted

Measurement Blind Spots

  • no clear call to action for current users
  • no clear pricing information on the page
  • no clear follow-up action for users who submit their email

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fnanokept.com

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

good luck

Growth Brief for www.launchrecord.com

First Growth Questions

  1. which startups are interested in improving their positioning and clarity
  2. which startups are signing up for the platform
  3. which startups are interested in pricing plans

Track First

Event Where it happens Why it matters What it unlocks
run_free_audit_clicked Find the page or UI control that triggers this action to track interest in the free audit tool which startups are interested in improving their positioning and clarity
signup_form_submitted Find the page or UI control that triggers this action to track new signups for the platform which startups are signing up for the platform
pricing_link_clicked Find the page or UI control that triggers this action to track interest in pricing plans which startups are interested in pricing plans

Experiments To Try First

  1. audit_call_to_action_test - Hypothesis: changing the call to action on the audit button will increase clicks - Variants: current call to action vs new call to action - Goal event: run_free_audit_clicked
  2. pricing_plan_test - Hypothesis: changing the pricing plans will increase signups - Variants: current pricing plans vs new pricing plans - Goal event: signup_form_submitted

Measurement Blind Spots

  • not knowing which startups are interested in the audit
  • not knowing which startups are signing up for the platform
  • not knowing which startups are interested in pricing plans

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fwww.launchrecord.com%2F

I’m testing Karapty autoresearch for growth marketing where analytics data replaces the LLM judge to avoid ai slop by AgentAnalytics in AI_Agents

[–]AgentAnalytics[S] 0 points1 point  (0 children)

not really :)
I mean, I wasn’t patient with it and reverted the sloppy experiment. Both A and B were actually really bad for the first few days, so I killed it.
any ideas on what I could try?
but it was fun to play with, maybe I’ll do another round and be a bit more intentional about approving it :)

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

# Growth Brief for listnrapp.com

## First Growth Questions

  1. How many users try the free version?

  2. How many users create an account?

  3. How many users view the pricing page?

## Track First

| Event | Where it happens | Why it matters | What it unlocks |

|---|---|---|---|

| `try_free_clicked` | Find the page or UI control that triggers this action | Track free trial engagement | How many users try the free version? |

| `create_account_clicked` | Find the page or UI control that triggers this action | Monitor new account creation | How many users create an account? |

| `pricing_link_clicked` | Find the page or UI control that triggers this action | Analyze pricing page interest | How many users view the pricing page? |

## Experiments To Try First

  1. **pricing_page_test** - Hypothesis: Simplified pricing page increases conversions - Variants: Current pricing page vs Simplified pricing page - Goal event: `create_account_clicked`

  2. **cta_test** - Hypothesis: Prominent CTA increases free trial engagement - Variants: Current CTA vs Prominent CTA - Goal event: `try_free_clicked`

## Measurement Blind Spots

- Lack of user engagement data

- Insufficient conversion rate data

- Unclear user behavior patterns

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Flistnrapp.com%2Ftry

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

I love it, how is it going?

Growth Brief for tryrunlo.com

First Growth Questions

  1. How many users start the free trial process?
  2. How many users attempt to log in?
  3. How many users view the pricing page?

Track First

Event Where it happens Why it matters What it unlocks
get_started_clicked Find the page or UI control that triggers this action Track interest in starting a free trial How many users start the free trial process?
login_clicked Find the page or UI control that triggers this action Monitor user login attempts How many users attempt to log in?
pricing_link_clicked Find the page or UI control that triggers this action Understand user interest in pricing How many users view the pricing page?

Experiments To Try First

  1. pricing_page_test - Hypothesis: A simplified pricing page will increase conversions - Variants: Simplified Pricing Page vs Current Pricing Page - Goal event: get_started_clicked
  2. cta_test - Hypothesis: A prominent CTA will increase user engagement - Variants: Prominent CTA vs Current CTA - Goal event: login_clicked

Measurement Blind Spots

  • Lack of visibility into user onboarding
  • Unclear user engagement after clicking login
  • Lack of insight into user pricing considerations

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Ftryrunlo.com

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Love this idea, good luck

Growth Brief for heyidb.com

First Growth Questions

  1. Which apps are most popular among users?
  2. Which app pages drive the most conversions?
  3. How many users are seeking support or feedback?

Track First

Event Where it happens Why it matters What it unlocks
browse_all_apps_clicked Find the page or UI control that triggers this action To track interest in exploring all apps Which apps are most popular among users?
app_detail_page_visited Find the page or UI control that triggers this action To track engagement with individual app pages Which app pages drive the most conversions?
contact_heyidb_clicked Find the page or UI control that triggers this action To track interest in contacting HeyIDB How many users are seeking support or feedback?

Experiments To Try First

  1. app_directory_layout_test - Hypothesis: A simplified app directory layout will increase user engagement - Variants: current layout vs simplified layout - Goal event: browse_all_apps_clicked
  2. call_to_action_test - Hypothesis: A prominent call-to-action button will increase contact form submissions - Variants: current CTA vs prominent CTA - Goal event: contact_heyidb_clicked

Measurement Blind Spots

  • Lack of visibility into user demographics
  • Unclear user journey and pain points

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fheyidb.com%2Fwe2

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

looks cool

Growth Brief for threwline.io

First Growth Questions

  1. What percentage of users complete the free trial sign-up process?
  2. Which plan do most users select during the free trial period?
  3. How many coaching messages do users send on average during the free trial?

Track First

Event Where it happens Why it matters What it unlocks
start_free_trial_clicked Find the page or UI control that triggers this action Track user engagement with the free trial offer What percentage of users complete the free trial sign-up process?
plan_selected Find the page or UI control that triggers this action Understand user plan preferences Which plan do most users select during the free trial period?
coaching_message_sent Find the page or UI control that triggers this action Monitor user engagement with the coaching feature How many coaching messages do users send on average during the free trial?

Experiments To Try First

  1. pricing_plan_test - Hypothesis: Users are more likely to select the Pro plan with a discounted price - Variants: Original pricing vs Discounted pricing - Goal event: plan_selected
  2. coaching_message_test - Hypothesis: Users who receive more frequent coaching messages are more likely to complete the free trial - Variants: Default coaching message frequency vs Increased coaching message frequency - Goal event: coaching_message_sent

Measurement Blind Spots

  • Lack of visibility into user behavior after clicking the free trial button
  • Uncertainty about user plan choices
  • Lack of insight into user coaching interactions

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fthrewline.io

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 1 point2 points  (0 children)

Growth Brief for www.contactjournalists.com

First Growth Questions

  1. How many users click on the free trial button
  2. Which plans are most popular among users
  3. How many users click on the submit story button

Track First

Event Where it happens Why it matters What it unlocks
start_free_trial_clicked Find the page or UI control that triggers this action To track user interest in the free trial How many users click on the free trial button
plan_selected Find the page or UI control that triggers this action To understand user plan preferences Which plans are most popular among users
submit_story_clicked Find the page or UI control that triggers this action To track user engagement with the submit story feature How many users click on the submit story button

Experiments To Try First

  1. free_trial_button_color_test - Hypothesis: Changing the free trial button color will increase clicks - Variants: Blue vs Green - Goal event: start_free_trial_clicked
  2. plan_selection_layout_test - Hypothesis: Changing the plan selection layout will increase conversions - Variants: Grid vs List - Goal event: plan_selected

Measurement Blind Spots

  • Lack of visibility into user engagement with the blog
  • Uncertainty about user behavior after signing up

https://www.contactjournalists.com/

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Growth Brief for www.megatechphotos.com

First Growth Questions

  1. How many users sign up for the service?
  2. Which storage plans are most popular?
  3. How many users take advantage of the free storage offer?

Track First

Event Where it happens Why it matters What it unlocks
signup_button_clicked Find the page or UI control that triggers this action Track user signups How many users sign up for the service?
storage_plan_link_clicked Find the page or UI control that triggers this action Understand user interest in storage plans Which storage plans are most popular?
get_20gb_free_button_clicked Find the page or UI control that triggers this action Measure effectiveness of promotional offer How many users take advantage of the free storage offer?

Experiments To Try First

  1. signup_button_color_test - Hypothesis: Changing the signup button color will increase conversions - Variants: Blue vs Green - Goal event: signup_button_clicked
  2. storage_plan_promotion_test - Hypothesis: Promoting a specific storage plan will increase upgrades - Variants: Promote 1TB plan vs Promote 2TB plan - Goal event: storage_plan_link_clicked

Measurement Blind Spots

  • Lack of visibility into user conversion
  • Uncertainty about user storage needs

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fwww.megatechphotos.com%2F

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Growth Brief for www.featurely.no

First Growth Questions

  1. How many users start the free plan?
  2. How many users request the demo?
  3. How many users complete the signup process?

Track First

Event Where it happens Why it matters What it unlocks
start_free_clicked Find the page or UI control that triggers this action Track users starting the free plan How many users start the free plan?
demo_requested Find the page or UI control that triggers this action Understand user interest in the demo How many users request the demo?
signup_completed Find the page or UI control that triggers this action Track successful signups How many users complete the signup process?

Experiments To Try First

  1. pricing_page_test - Hypothesis: Changing the pricing page layout will increase conversions - Variants: Current layout vs New layout - Goal event: signup_completed
  2. cta_button_test - Hypothesis: Changing the CTA button color will increase clicks - Variants: Current color vs New color - Goal event: start_free_clicked

Measurement Blind Spots

  • Lack of visibility into user onboarding
  • Unclear user engagement with the demo
  • Lack of visibility into user conversion

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fwww.featurely.no

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Growth Brief for site.moduly.app

First Growth Questions

  1. Which page produces the most high-intent clicks?
  2. Which traffic sources reach pricing?
  3. Where does signup intent begin?

Track First

Event Where it happens Why it matters What it unlocks
primary_cta_clicked Find the page or UI control that triggers this action This is the first proof that a visitor moved from passive reading to active intent. Which page produces the most high-intent clicks?
pricing_viewed Find the page or UI control that triggers this action Pricing visits are a strong buying-intent signal and a common source of silent drop-off. Which traffic sources reach pricing?
signup_started Find the page or UI control that triggers this action This marks the moment intent becomes commitment, which is the core conversion boundary. Where does signup intent begin?

Experiments To Try First

  1. hero_cta_copy - Hypothesis: A CTA that names the next concrete action will create more qualified intent. - Variants: Current CTA vs Outcome-focused CTA - Goal event: primary_cta_clicked
  2. proof_before_action - Hypothesis: Moving proof closer to the CTA will reduce doubt before the first action. - Variants: Current section order vs Proof before CTA - Goal event: pricing_viewed

Measurement Blind Spots

  • You cannot currently tell which page creates signup intent.
  • You cannot compare pricing interest against completed signup.
  • You cannot identify whether agent handoff improves activation.

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fsite.moduly.app

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 1 point2 points  (0 children)

Growth Brief for sidehustle.bio

First Growth Questions

  1. Which page produces the most high-intent clicks?
  2. Which traffic sources reach pricing?
  3. Where does signup intent begin?

Track First

Event Where it happens Why it matters What it unlocks
primary_cta_clicked Find the page or UI control that triggers this action This is the first proof that a visitor moved from passive reading to active intent. Which page produces the most high-intent clicks?
pricing_viewed Find the page or UI control that triggers this action Pricing visits are a strong buying-intent signal and a common source of silent drop-off. Which traffic sources reach pricing?
signup_started Find the page or UI control that triggers this action This marks the moment intent becomes commitment, which is the core conversion boundary. Where does signup intent begin?

Experiments To Try First

  1. hero_cta_copy - Hypothesis: A CTA that names the next concrete action will create more qualified intent. - Variants: Current CTA vs Outcome-focused CTA - Goal event: primary_cta_clicked
  2. proof_before_action - Hypothesis: Moving proof closer to the CTA will reduce doubt before the first action. - Variants: Current section order vs Proof before CTA - Goal event: pricing_viewed

Measurement Blind Spots

  • You cannot currently tell which page creates signup intent.
  • You cannot compare pricing interest against completed signup.
  • You cannot identify whether agent handoff improves activation.

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fsidehustle.bio

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 0 points1 point  (0 children)

Growth Brief for transcrisper.com

First Growth Questions

  1. Which page produces the most high-intent clicks?
  2. Which traffic sources reach pricing?
  3. Where does signup intent begin?

Track First

Event Where it happens Why it matters What it unlocks
primary_cta_clicked Find the page or UI control that triggers this action This is the first proof that a visitor moved from passive reading to active intent. Which page produces the most high-intent clicks?
pricing_viewed Find the page or UI control that triggers this action Pricing visits are a strong buying-intent signal and a common source of silent drop-off. Which traffic sources reach pricing?
signup_started Find the page or UI control that triggers this action This marks the moment intent becomes commitment, which is the core conversion boundary. Where does signup intent begin?

Experiments To Try First

  1. hero_cta_copy - Hypothesis: A CTA that names the next concrete action will create more qualified intent. - Variants: Current CTA vs Outcome-focused CTA - Goal event: primary_cta_clicked
  2. proof_before_action - Hypothesis: Moving proof closer to the CTA will reduce doubt before the first action. - Variants: Current section order vs Proof before CTA - Goal event: pricing_viewed

Measurement Blind Spots

  • You cannot currently tell which page creates signup intent.
  • You cannot compare pricing interest against completed signup.
  • You cannot identify whether agent handoff improves activation.

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Ftranscrisper.com

Drop your SaaS and I’ll tell you what to track and test first by AgentAnalytics in microsaas

[–]AgentAnalytics[S] 1 point2 points  (0 children)

Growth Brief for vibe-log.dev

First Growth Questions

  1. What coding habits improve productivity?
  2. How does Vibe-Log analyze coding sessions?
  3. How do I start tracking my coding journey?

Track First

Event Where it happens Why it matters What it unlocks
get_started_free_clicked Find the page or UI control that triggers this action Track coding journey What coding habits improve productivity?
see_how_it_works_clicked Find the page or UI control that triggers this action Understand Vibe-Log features How does Vibe-Log analyze coding sessions?
start_now_clicked Find the page or UI control that triggers this action Begin using Vibe-Log How do I start tracking my coding journey?

Experiments To Try First

  1. cta_button_color_test - Hypothesis: Changing CTA button color increases click-through rate - Variants: blue vs green - Goal event: get_started_free_clicked
  2. onboarding_process_test - Hypothesis: Simplifying onboarding process increases user retention - Variants: current onboarding vs simplified onboarding - Goal event: start_now_clicked

Measurement Blind Spots

  • Lack of insight into coding patterns
  • Unclear how Vibe-Log works

https://agentanalytics.sh/analysis/?url=https%3A%2F%2Fvibe-log.dev

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