A simple [Garry Tan tweet](https://twitter.com/garrytan/status/1760819664836563010) sent Magic Patterns viral. During the unexpected viral launch Magic Patterns heavily relied on Swishjam to give them a sense of how their product was being used in real-time. 48 hours later, they saw their MRR up 105%.

![329shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/329shots_so_125ed54e86.png)
_Revenue numbers (obviously) obfuscated for public purposes. Visulization pulled from [Swishjam Revenue Analytics](https://swishjam.com/revenue-analytics)._

Using Swishjam, Magic Patterns logs their key product interactions to a special Slack channel called #swishjam-alerts. For example, when a user clicks upgrade, but does not ultimately pay, a Slack alert is sent. Using the logic branching within Swishjam they've been able to selectively highlight the most important combination of events for users.

>With Swishjam, we were able to engage with users who may not have otherwise upgraded and learn from them — [Alex Danilowicz](https://twitter.com/alexdanilo99), Co-Founder of Magic Patterns

![329shots_so (1).png](https://swishjam-blog.s3.us-east-1.amazonaws.com/329shots_so_1_818d9d74c7.png)

Magic Patterns has configured 18 different automations to trigger Slack notifications spread across three different channels. They log all kinds of events, such as when a new subscription is created in Stripe, or when a user logs in for the first time in a while, clicks contact support, or submits feedback, among many other scenarios.

![mp-automation.gif](https://swishjam-blog.s3.us-east-1.amazonaws.com/mp_automation_0ae7fb8040.gif)

This has allowed the Magic Patterns team to quickly react to regressions in their app and also "wow" their users' by providing proactive, quick, and personalized support. It has even resulted in customers reaching out asking how they're able to stay on top of their usage and customers so well.
![591shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/591shots_so_7f085386b7.png)

>Honestly, I don't think we would have noticed we were going viral if it weren't for Swishjam. We saw the influx of notifications coming in, and that helped us realize what was happening and to prepare for the traffic. — [Teddy Ni](https://twitter.com/Teddarific), Co-Founder of Magic Patterns

![577shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/577shots_so_cd0ac92112.png)

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Logging all user events to a Slack channel is an amazing way to get a feel for what is happening with your product.</p>&mdash; Jared Friedman (@snowmaker) <a href="https://twitter.com/snowmaker/status/1710433106333938122?ref_src=twsrc%5Etfw">October 6, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

When building a digital product, while it can easily and often happens, the last thing you want is to become disconnected and out of touch with your users' experience.

>It's created a culture where we can respond to users so quickly which has helped us convert more folks to being paid subscribers — [Teddy Ni](https://twitter.com/Teddarific)

![499shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/499shots_so_e7851341e5.png)

>You would think it's a lot of noise. Quite the opposite. We've carefully crafted the alerts to fire at the perfect moment. Seeing how customers use our product is the most important thing to us, and Swishjam surfaces that directly in Slack — [Alex Danilowicz](https://twitter.com/alexdanilo99)

![437shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/437shots_so_3f0b393e37.png)

Using Swishjam, Magic Patterns logs most product usage to a special Slack channel called #swishjam-alerts

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How Magic Patterns leaned on Swishjam during their viral launch to help grow MRR 105% in 48 hours

With Swishjam's Automations you can take product activity and create complex logic to turn those events into slack messages to alert your team, send your users an email, and more. Combined with user cohorts you can trigger automations on events, changes within Swishjam like adding or removing from a cohort, and even changes from other apps like Stripe, Resend, and others.

**Setting Up An Automation**
Setting up an automation is pretty simple. Here's how

1. Select the event you'd like to trigger on the start node
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2. Add actions like sending to Slack or to send an email.
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3. Save

**Logic Steps Available Today**

**Filters**

Allows you to conditionally look for events that you really want. Easily filter out bad data or remove certain types of users.
![filters.gif](https://swishjam-blog.s3.us-east-1.amazonaws.com/filters_0859b3fd34.gif)

**Delay**

Allows you to wait for a few minutes or several days to trigger the next step in an automation. This is a powerful step for email sending when you want to trigger an automated message but make it feel like a real person sent it.
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**A Few Automations Our Users Love**

**Missile Seeking Money Machine**

Easily turn Stripe subscriptions into a Slack celebration. By connecting Stripe you can easily trigger new Subscriptions and customize the message in Slack. [Magic Patterns](https://www.magicpatterns.com) creates a fun little celebration where it alerts their team Slack and they get to have fun with it.

**On Sign Up Customer Message**

When a new user is identified for the first time we have customers trigger a personalized welcome email. To make it feel custom we allow really nice personalization and including any user data on the profile and by delaying the message a few minutes you get to make it feel like it's not just an automated message. 



Easily activate your product data with Swishjam Automations. With a few clicks you can send slack messages, emails, and more. 

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Automations 2.0: Activating Your Product Usage Data

Cohorts enable you to aggregate and tag users that contain certain characteristics into groups that can be used throughout Swishjam to better understand, visualize, and action upon your key customer groups.

![cohorts.gif](https://swishjam-blog.s3.us-east-1.amazonaws.com/cohorts_0f4867d73e.gif)

Because Swishjam integrates with your other SaaS tools and automatically stitches the data to a unified customer profile, you can build all encompassing cohorts for all of your needs. So far some common Cohorts folks are building include:
- **Churn risk users** - Users whose _subscription_plan property = "premium"_ that have triggered the _{dashboard_viewed}_ event fewer than 3 times over the last 30 days.
- **High effort free users** - Users whose _monthly_subscription_fee property = 0_ that have triggered the _{intercom.ticket.created}_ event 3 or more times over the last 30 days.
- **Unactivated users** - Users who have not triggered the _{report_generated}_ event or the _{teammate_added}_ event yet.

Lastly, one of the core tenets Swishjam always looks to satisfy is to make your data actionable and less retroactive. This means when you create a new Cohort, you can set up automations for when a user falls into or out of a Cohort; in near real time. This means you can: 
1. Send a notification to your Slack channel to let you know when a user falls out of your “Unactivated users” Cohort to let you know when a user completes onboarding
2. Send a custom email to the user when they fall out of your “Active Users” Cohort to try to re-engage with them.

![cohort-slack-trigger](https://swishjam-blog.s3.us-east-1.amazonaws.com/Screenshot_2024_02_26_at_2_32_00_PM_2bf241b666.png)


[Sign up today](https://app.swishjam.com/register) to start building your User Cohorts.

Group your users by common properties across all of your SaaS tools.

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Introducing Cohorts by Swishjam

## How to use UTM Parameters for Startups

An often overlooked part of marketing and top of funnel work for startups is making sure you track where folks are coming from and what types of content or advertising works best for you. One tiny component of that tracking is utilizing UTM parameters to aid in that. 

We’ve put together some details on UTM tracking, a tool to help make the links more easily, and also how we do some attribution work with Swishjam.

#### What are UTM Parameters?

UTM parameters are simple code snippets added to the end of a URL. When a user clicks on a URL with UTM parameters, the tags are sent back to your analytics tooling like Swishjam and tracked. These parameters allow you to understand the effectiveness of your online marketing campaigns by providing detailed insights about the traffic coming to your website.

A typical URL with UTM parameters looks like this:

```
http://www.example.com/?utm_source=newsletter&utm_medium=email&utm_campaign=product_launch
```

#### The Five UTM Parameters

1. **utm_source**: Identifies the source of the traffic (e.g., Google, newsletter, Facebook).
2. **utm_medium**: Specifies the medium used to reach the audience (e.g., email, CPC, social).
3. **utm_campaign**: Names the specific campaign or promotion (e.g., summer_sale, product_launch).
4. **utm_term**: Used for paid search to identify keywords for the ad (optional).
5. **utm_content**: Helps differentiate similar content within the same ad or link (optional).

### Why Use UTM Parameters?

#### 1. Enhanced Campaign Tracking

UTM parameters enable startups to track the performance of various marketing campaigns across different channels. By analyzing which campaigns are driving traffic, you can optimize your marketing efforts and budget allocation.

#### 2. Understanding Audience Behavior

These parameters provide insights into how users interact with your content. This helps in understanding the customer journey and refining your marketing strategies accordingly.

#### 3. A/B Testing

UTM parameters are crucial for A/B testing different marketing strategies. By using different UTM codes for each variant, you can precisely measure which version performs better.

#### 4. ROI Measurement

Startups can accurately measure the return on investment (ROI) of their marketing campaigns by tracking which channels and campaigns lead to conversions.

### Best Practices for UTM Tracking

#### 1. Consistent Naming Conventions

Use consistent naming conventions for UTM parameters to avoid confusion and ensure accurate tracking. For instance, always use lowercase and avoid spaces (use underscores or hyphens instead).

#### 2. Use UTM Parameters Judiciously

Overuse can lead to overly complex URLs and confusion in data analysis. Use them primarily for tracking external traffic sources.

#### 3. Integrate with Analytics Tools

Ensure your website's analytics tools are set up to track UTM parameters. This integration is crucial for gathering and analyzing data effectively.

#### 4. Shorten URLs

Use URL shorteners for long URLs with UTM parameters, especially when using them on social media platforms. While there’s a bit of controversy about link shorteners in that they are used by spammers and fraudsters it is a good way to shorten the URL itself. Our recommendation here is that if you can make plain text the visual link for someone that helps alleviate concerns. Some platforms such as Medium even go as far to ban link shorteners in their ToS.

#### 5. Viewing the Data

In Swishjam we track both the UTM parameters that a user might encounter as well as the initial touch point for a user. In our Web Analytics product you’re able to see UTM parameters, referrers, and right now on each user where they originally came from. More detailed analysis tools will be available soon to dive deeper into this data.

### Conclusion

UTM parameters are indispensable for startups looking to gain detailed insights into their marketing efforts. By effectively utilizing these tools, startups can make data-driven decisions, optimize their marketing strategies, and ultimately achieve better results in their digital marketing endeavors. Remember, the key to successful UTM tracking lies in strategic implementation and consistent analysis.



An often overlooked part of marketing and top of funnel work for startups is making sure you track where folks are coming from and what types of content or advertising works best for you. One tiny component of that tracking is utilizing UTM parameters to aid in that. 


How to use UTM Parameters for Startups

A quick tutorial on how to setup a weekly recurring summary of key Stripe metrics into your team's Slack channel

#### Step 1: Connect Stripe to Swishjam
![connect stripe.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/connect_stripe_ff6ffaea79.png)

Go to your [Swishjam integrations tab](https://app.swishjam.com/integrations) and add Stripe. This will take you to the Stripe authentication flow so be ready to login and grant us access to your Stripe data. This should take roughly 1-2 -minutes to complete.

#### Step 2: Connect Slack to Swishjam
![connect-slack.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/connect_slack_5984266db8.png)

Go to your [Swishjam destinations tab in integrations](https://app.swishjam.com/integrations/destinations) and add Slack. This will take you to the Slack authentication flow so be ready to login and grant us access to your Slack. This should take roughly 1-2 -minutes to complete. This will grant us the ability to send messages and see your Slack channels.

#### Step 3: Setup a report automation
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Go to [Swishjam automations tab and select reports](https://app.swishjam.com/automations/reports). Reports is a simple way to create daily, weekly or monthly rollups of your data in Swishjam. Select "New Report" to create your Stripe summary.

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Name your report, set the frequency to weekly (daily and monthly are available too), and then set the sections to be "Revenue Analytics". Included in the summary is your MRR, active subscriptions, and churn over the time period.

#### Step 4: Sit back relax and get updated
![16shots_so.png](https://swishjam-blog.s3.us-east-1.amazonaws.com/16shots_so_aa010306e8.png)
Every day, week, or month you'll get your update in a Slack channel of your choosing. You can also do the same for web and product analytics if you're curious!


A quick tutorial on how to setup a weekly recurring summary of key Stripe metrics into your team's slack channel

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How to setup a weekly summary of your Stripe activity

Swishjam’s Revenue Analytics solution pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.

![revenue-analytics.gif](https://swishjam-blog.s3.us-east-1.amazonaws.com/revenue_analytics_d1251dcf58.gif)

**How’s it work?**

Swishjam connects to your Stripe account, syncs your data, and calculates all of your most important SaaS-related revenue metrics such as MRR, churn rate, revenue retention, and more.

When you enable Revenue Analytics in Swishjam, you get:
1. **Revenue Analytics Dashboard** - data visualizations of all of your key revenue metrics.
2. **Automations & Slack Notifications** - because Swishjam is now ingesting your Stripe events as they occur in real time, you can set up [automations](https://swishjam.com/solutions/automations) to take actions when important revenue-related events occur.
3. **Reporting** - Get daily/weekly/monthly reports on your revenue delivered to you in Slack or by email.
4. **User Profiles Tied to Revenue** - we automatically tie user profiles from your product analytics to Stripe data. This lets you build a better picture of your customer without lifting a finger. We also roll up this data to organizations if your app has that type of billing. Coming in version 2 is the ability to predict churn from this data and catch zombie users before they churn to keep more of your hard earned customers.

**Why is this exciting?**

Sure, lots of other apps already have this type of dashboard but **none that we know of have the ability to tie this type of information together easily**. Currently it’s quite painful and most usually a manual process. This is also a big step towards our larger mission of tying your disparate data sources into your product analytics data as a first-party citizen, automatically stitched to your user profiles and creating a true 360 user profile. What this means is that within Swishjam, you will be able to easily sift, segment, and visualize all of your product analytics data along with your billing data (and other data sources!) to answer questions like:

1. Which of my users' usage is dropping off who are subscribed to the Gold Plan?
2. What percent of users on the Free Trial trigger the {your aha moment} event?
3. What were the usage patterns for user xyz leading up to their churn?

Interested in getting access? Drop us a line at [founders@swishjam.com](mailto:founders@swishjam.com) and we’ll get you up and running in a few clicks.


Revenue Analytics pulls in all of your core SaaS-related revenue metrics into a single dashboard to enable you to better understand your business and keep track of what matters most; your revenue. Most importantly, your revenue is now automatically connected to your user’s product usage.


Revenue Analytics by Swishjam, connect your product usage data to revenue

Back in October we saw this post by Jared one of the YC partners on Twitter.


<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Logging all user events to a slack channel is an amazing way to get a feel for what is happening with your product.</p>&mdash; Jared Friedman (@snowmaker) <a href="https://twitter.com/snowmaker/status/1710433106333938122?ref_src=twsrc%5Etfw">October 6, 2023</a></blockquote> <script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

The replies speak for themselves. We also had been piping events into Slack and what was curious is not only do a lot of folks set this up, but a lot of folks set this up super hacked together. We had already been working on something exactly like this for Swishjam users with a bit of a thesis.

**Our Thesis Was Relatively Simple**

Staying attuned to your users' behaviors and preferences is not just beneficial; it's essential. That's where integrating your web and product analytics with Slack comes into play, transforming abstract data into a vivid narrative of user engagement. This integration is more than just a technical setup; it's a way to inject startup 'dopamine' – an excitement for real-time user interactions and a conviction in your product's trajectory.

**Feeling the Pulse of Your Product**

Imagine every user action – a sign-up, a feature interaction, a purchase – popping up in your team's Slack channel. This real-time feed is more than informational; it's a heartbeat monitor for your product. Each Slack notification becomes a story, a user's journey through your application. This direct line of insight creates an emotional connection between your team and your users, turning cold numbers into relatable, human experiences.

**Building Conviction in Your Vision**

Beyond the immediate thrill of seeing live interactions, these Slack notifications serve a deeper purpose. They are tangible evidence that what you're building resonates with your audience. Each user event is a validation, an affirmation that you're on the right track. In the uncertainty-laden journey of startup development, these real-time insights are invaluable. They build conviction, reinforcing that your product is not just a hypothesis but a solution that people are actively using and benefiting from.

**Turning Data into Action**

The immediacy of Slack notifications means your team can quickly identify and react to trends, issues, or opportunities. It's about agility, being able to pivot or iterate based on what your users are telling you, not in reviews or feedback forms, but through their direct interactions with your product.

**A Culture of User-Centricity**

Integrating user events with Slack does more than just provide data; it fosters a culture of user-centricity. It keeps the user at the forefront of every discussion, design meeting, and strategy session. Your team becomes more empathetic, more aligned with the user experience, and more driven to enhance it.

**How Swishjam Connects to Slack**

Pretty simple really, once you've integrated Swishjam on the front-end for analytics you can start sending data to Slack. No hacking together a webhook endpoint that sends data off to a Slack channel, just a simple couple clicks and start sending events and summaries to Slack.

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**When Signal Becomes Noise**

We also noticed that as you ramp up events it becomes very very noisy. So, what do you do? For some folks they started muting the slack channel defeating the purpose of the channel in the first place, but for others they wanted to create a way to filter or summarize the events on a daily/weekly/monthly basis. So we've also have the first version of that.

Swishjam reports help summarize the activity so that it's not sooo noisy. We're still working on filtering and selectively sending singular events when it gets to be too much but at the moment this is the easiest way to get that same effect.

Setting up a report is simple and it does a quick rollup for the timeframe you need.

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**Some Parting Thoughts**

Incorporating real-time user events into Slack is a powerful strategy for startups. It brings user interactions to life, builds conviction in your product, and promotes a swift, informed response to user needs. This is not just a tool; it's a mindset, a way of making your product a living, breathing entity that thrives on user engagement. By tapping into this startup 'dopamine', you're not just observing your users; you're connecting with them, learning from them, and ultimately building a product that they truly want.

If you're interested in using Swishjam to help drip some dopamine into your team, send us email at founders@swishjam.com. 








Our thesis was relatively simple: staying attuned to your users' behaviors and preferences is not just beneficial; it's essential. That's where integrating your web and product analytics with Slack comes into play, transforming abstract data into a vivid narrative of user engagement.

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Creating Startup Dopamine: Harnessing the Power of Real-Time User Events in Slack

Goodbye product analytics, hello digital analytics. 

At Swishjam, our goal is to give you a single pane of glass for all of your digital analytics. We love product analytics, it’s a key piece to building a strong product and ultimately a strong SaaS business. However we feel as though the product analytics space is missing the target on a few key areas.

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In short, we feel as though the existing solutions on the market are missing: 
1. The ability to seamlessly connect all of your data and stitch it together.
2. A true 360 degree view of your customers and your business.
3. The ability to act upon and activate all of this data.

There are lots of things that happen outside of your product that are important for any software business to run, but today they are mostly disjointed and live separately in disparate tools. Think marketing site analytics, support tickets, payments data, email communication, CRM data, etc... There’s really a ton that goes into building a great digital business. Yet in order to get all of this through a single pane of glass, it usually involves painful ETLs, data warehouses, BI tools, and full teams to build it all out and maintain. This should all live in one interface, with all of your other data, and a simple switch to turn them on and off.

- How do you monitor your top users?
- What about users whose subscription is expiring soon?
- How do you view all of their interactions with your product and business?
- A user encountered an error in your product, are they a free trial user?
- An enterprise user?
- Have they written into support recently?

At Swishjam, we connect to all of your systems and stitch all of this data into a single unified customer profile. We believe that in order to build a successful software business, customers need to be at the center of everything you do, our goal is to make that easier.

Visualizing and making sense of all your data in a single interface like Swishjam is valuable in and of itself. But data should not come to die here, our hope is to give you the power to then action upon this data, share it and send it to your different tools and systems. By connecting your data sources into Swishjam, you then get the power to action upon all of your data through one platform.

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In conclusion, Swishjam is a platform to centralize your data, visualize it, action upon it, and ultimately build a data-driven, customer-centric software business. We’ve onboarded a handful of initial beta users and have a few more spots left, if this problem resonates with you please send us a note to founders@swishjam.com and we’ll see if you’re a good fit Swishjam

A single pane of glass for all of your digital analytics. Taking your site's analytics data to the next level.

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