Sherlock & HubSpot: Better together (& more from Product)

A busy summer for the product team here at Sherlock! We’ve decided to hunker down, turn our backs on nice weather, and release a bunch of new features — ready for our customers as they return from vacation and get back to work. 

This batch of releases includes some nice new segmentation options, better ways to manage your scoring profiles, as well as more great ways to get your Sherlock data outside the Sherlock app with the release of a sweet new Chrome extension as well as our first HubSpot integration! 

Let’s have a closer look. 

The Sherlock Chrome Plugin

See account and user engagement info from anywhere in Chrome

As we watch Sherlock become an integral part of the workflows across multiple SaaS teams, we wanted to make it easier for those team members to access their Sherlock data without having to remember yet another password 🙂

(Seriously. It’s like we’re begging users not to use our product!)

With the release of this Chrome extension, Sherlock users can quickly find information about their users and accounts right from their browser.

No searching for tabs or passwords. Just click the extension and get the info you need. 

From any Chrome tab, you can:

  • search your Accounts and Users (great for quickly checking up on engagement)
  • look up all your Scoring Profiles
  • sort by Score and Activation Rates (a must-do for finding your PQLs)
  • view your Default and Custom Segments (like Ice Cold and Red Hot)

Ready to get started? Here’s how you set it up. Your teams are going to love it!

Want to see Sherlock in action? Click here.

Sherlock and HubSpot, just better together

Try the Beta now

You already use HubSpot as your CRM. Most excellent! Now you can use Sherlock’s singular engagement metrics to filter contacts and companies, trigger workflows and create segments. 

Sherlock adds a smart layer to HubSpot. Now all your customer-facing teams can see (and take action based on) how users are engaging with your product during their trial periods — and beyond. Have they hit first value? Has their engagement dropped since they converted?

For sales teams, finding PQLs has never been easier.

For CS teams – you don’t need to go find another CRM! Don’t go looking for a CS tool that is going to duplicate all the CRM functionality you have in HubSpot. All you need is Sherlock engagement data combined with the workflow and account management functionality HubSpot and you’re good to go! 

Here are a few ways Sherlock makes HubSpot smarter:

Create smarter workflows using Sherlock traits

With Sherlock, you can automate your outreach and task management based on user engagement. Has a user recently hit first value? Use Activation as a workflow property to automatically change their lifecycle stage. Has a user’s engagement dropped? Trigger a task so you don’t lose them to everyone’s least favorite 5-letter word — churn.

Trigger emails based on Sherlock traits

Much like workflows, you can also trigger emails based on a user’s engagement. Say you have a user who just adopted your brand new feature (congratulations, by the way). You can set up HubSpot and Sherlock to automatically send them an on-boarding email. Excellent! That leaves more time for your CS team to chase down those possible churn threats.

Report smarter with Sherlock metrics

SaaS revenue forecasting — it can be tricky. How likely is it that a deal will close? Often there is a gap between expectation and reality in answering this question. Fill that gap with product engagement insights, not your Account Rep’s“gut feelings.” With Sherlock’s smart layer on top of HubSpot’s renowned CRM, every Sales meeting goes from “I think” to “Here’s what we do”.

Bonus: Get HubSpot data in Sherlock

Not only can you get Sherlock data into HubSpot, but this connection will also allow you to bring HubSpot data into Sherlock where you can segment and drive custom alert. With this connection, bring in Company and Contact Owners as well as Lifecycle Stages from HubSpot.

In the Sherlock App

Segmentation by trait (or as we lovingly call it, “Segment Segmentation”)

See distributions of traits within your segments

Segmentation: it’s all the rage. And rightfully so. 

Many users have asked us for the ability to segment their different user/account groups by the traits that they send to Sherlock. We were happy to oblige. 

Within any Account/User segment, you can click on the Segmentation tab to see that segment broken down by the values of any particular trait.
Segment your product engagement data even further to find quick answers to questions like:

What percentage of my most engaged accounts are on enterprise plans? and How many of my hot trials have more than 200 employees?

That’s SaaS done right.

Set default profile from a Score Index Page

Our new score index page gives you a quick overview of all your scoring profiles and allows you to select one as the default. Customization, here we come.

No need to click, click, click to see basic information like weekly active accounts and average product engagement metrics. 

Want more details on a score profile? Just click on the one you’re interested in and it’ll take you to the dashboard you know and love.

Go from Sherlock to an Intercom or HubSpot profile

Moving between platforms has never been so easy. See a change in Activation on one of your users or accounts and want to reach out? No need to click 6 times to get to their Intercom or HubSpot profile. (You’ll still need to click once, but that’s just the way of the internet.)

Want to see Sherlock in action? Click here.

How to Identify Your Product Qualified Leads with Sherlock

The game of SaaS is afoot! And you’ve been looking for those game-winning Product Qualified Leads. Perhaps you’ve started building a PQL process already. Excellent! But there is still more that you can do. Here’s how to find your Product Qualified Leads with Sherlock.

What’s a PQL again?

A PQL is a lead that is qualified by actually engaging with your product. Because PQLs have used your product (and found it of utmost use), they are more likely to convert than MQLs or SQLs.

So, a PQL is a lead that has been successful with your product during a free trial period. But what does success mean for your SaaS product? 

Generally speaking, it’s a combination of two things:

  • Activation: Is the trial account all set up? Have they reached first value?
  • Engagement: How engaged is a lead during the trial? How often are they using the product, especially the core features?

Demand for these insights continues to grow, but the execution is still hampered by:

  • Getting product engagement data in a format that can be easily used and understood by a sales team
  • Getting product engagement data in a place sales can easily take advantage of it

Before you start trying to overcome these challenges, you need a few ingredients to build your PQL process.

Want to learn how Sherlock can help optimize your trial conversion? Click here.

The 5 things you need to identify and take action on PQLs

1. Track and score product engagement

You can’t qualify an account based on product usage if you aren’t tracking product usage. So, if you aren’t tracking the most important actions (i.e. events) in your product for all of your users, go get that done. You can’t move forward without doing this.

But this is just a starting point. You should also be able to score and rank your users based on how frequently they use the important parts of your product. By scoring product engagement, you are assigning every user a score that quantifies their usage.

Product engagement data with this context is product engagement data your sales team can understand and take action on. Don’t dump a truckload of event data on your sales team and expect them to make sense of it. Won’t happen.

2. Track and score product engagement at the account-level

This one’s elementary, so much so that it’s very easily overlooked. As a SaaS business, you don’t sell software to individual users — you sell to teams, to organizations. To accounts. You need to be able to aggregate your product engagement data at the account-level. Without account-based scoring, your PQL process will become more frustrating than helpful and your sales team will likely abandon it.

3. Identify the most engaged users on each account

When working a sale, salespeople are always looking for the right “entry points” into an account. They look for people who are going to become their internal champions. 

It’s why your sales team needs those insights into the engagement of each user on an account. The users most engaged with the product will become the “case studies” used to convince other decision makers within the business. This is key, key data for your sales team.

4. Track Activation Rates during the trial period

The goal of any trial process is to drive users and accounts toward “Activation.” Every product has a different definition of Activation, but it’s generally the three, four, five specific actions that allow a new account to experience “first value.” 

A document sharing application might have an Activation checklist that looks something like:

  • Document created 
  • Teammate signed-up
  • Document shared
  • Document edited
  • Comment created

A proper PQL process will include insights into the Activation progress for every trial account. Which accounts are fully Activated? Which ones are almost there? Which ones are way off? Your sales team needs the answers to these questions and your PQL process needs to be what answers them.

5. Easy access to all this essential data

Having product engagement data is one thing, but getting it in the hands of your sales team is another. If your sales team doesn’t have immediate access, they aren’t going to use it. That is why you need to have all this data packaged up in a way that it can be easily understood and easily shared with the tools your sales team is using regularly — this means your CRM or CRM-like tool (i.e. Intercom).

See how Sherlock can do it for you. Click here.

How to use Sherlock to Drive your PQL process

Egad! All this sounds like a lot of work. How will you figure out how to prioritize building this kind of system? Where will it integrate? Should you just build it in Salesforce? Can Segment do this? How will you fit this —

Just take a deep breath.

Sherlock is here to help you understand the engagement level of your users and accounts from first signup to conversion (and after). It does everything you need to shape your ideal PQL process.

  • Score and rank your users and accounts based on actual engagement with your product
  • Access insights into the engagement level of all users on each trial account
  • Track your trial users and accounts and their progress toward “first value” by defining “Activation” criteria
  • Connect these engagement scores and Activation rates to Salesforce, Intercom, Slack, and other platforms to give your sales team easy access to the data

For those looking for a step-by-step guide for setting up this process in Sherlock, here it is.

Step 1: Connect your product data with Sherlock

If you are using for your product data, you can simply flip a switch and have your product data sent to Sherlock immediately. Alternatively, you can start using Sherlock by implementing our custom tracking script.

Step 2: Set up your first scoring profile 

This is part of the basic setup for Sherlock. This is where you will score the engagement of your product events and create your first Sherlock scoring model. Once you do this, all your users and accounts will automatically be scored based on how they are engaging with your product.

Step 3: Define Activation criteria for trial accounts

By defining what it means for an account to be “Activated”, you can start tracking the Activation rate of all your trial accounts. Activation rates will be displayed as a percentage (between 1-100%) based on what percentage of the activation criteria a user/account has met at any given time.

Step 4: Connect Sherlock with your other tools

By connecting Sherlock with other tools like Intercom, Salesforce, Hubspot, and others, you can get these insights to your sales team where they can take action. 

You will send Engagement scores and Activation rates for all your accounts and users to these other tools. Your users and accounts will also be tagged with any Sherlock segments into which they fall.

Step 5 (Bonus): Set up Sherlock Alerts

When your sales team is working a list of leads, they need to know when there’s an important status change in “real-time.” They need to be able to act quickly on any important activity — like a change in Activation status. Make sure you set up Sherlock Alerts so your team knows when an account reaches a certain level of Activation.

Stop reading and start building — your PQLs are waiting

At this point, you should have everything you need to build a PQL process that will help your sales team find and convert the best leads. You have all the essential data points on account and user engagement, Activation, and adoption. And you have ways to give your sales team easy access to this data. 

Now all you have to do is build the internal process around this data. It’s an obvious fact: this will vary based on your existing team and process, but one thing is sure – you can’t wait any longer on this. If, at this point, you don’t have a PQL process in place – or you have a very poor one – you’re already losing the game of SaaS. Your competitors are already implementing PQL processes and making their sales teams more efficient. Join them, won’t you?

Get started with Sherlock today.

Sherlock in the Intercom Inbox (and more from Product)

Sherlock in the Intercom Inbox (and more from Product)

We’re excited to release some really important additions to the Sherlock account and user detail pages as well as — drumroll, please — a shiny new Sherlock widget in the Intercom Inbox.

Sherlock and Intercom Inbox

Easier than ever to operationalize your Product Engagement data

When Intercom recently opened up the ability for apps to be integrated into their Inbox product (their main customer chat product), we knew that this was the perfect place for Sherlock.

It’s our overarching goal to help every SaaS business operationalize their Product Engagement data. This means having essential Sherlock data available “at the fingertips” of the teams that need it — when they need it. The Intercom Inbox fits this description to a tee. This is where SaaS companies that use Intercom hang out. This is where CS (and sales) teams spend their days interfacing with their customers. This is why it’s the perfect place to have Sherlock data readily available. 

Install the Sherlock widget in your Intercom Inbox and you’ll get access to every user’s key Sherlock metrics. That’s Engagement Score, Adoption rate, Activation rate, Frequency, and the Segments in which he or she falls. 

You can also expand on this user data to see the Account data associated with that user. 

Sherlock data in Intercom Inbox will give your customer-facing teams all the essential information they need when interacting with your users.

Setting up Sherlock in the Intercom Inbox is simple – see this post for more info. 

Want to see Sherlock in action? Click here.

In the Sherlock app

Track the Frequency of user and account engagement

With this release, we’ve also added a new metric for every user and account — Frequency.

Frequency adds another dimension to your engagement insights by answering the question How often does a user/account use my product?

We define frequency as the number of days a user or account has triggered any of your scored events during your “engagement period” (the period defined when you create your engagement score). 

For example, if you have a 7-day engagement score and a user has triggered a scored event on five of the last seven days, that user would have a Frequency of five. 

The same applies to your accounts, except with accounts, we look to see the number of days that any user from that account has triggered any of your scored events.

You can find Frequency on the user and account detail pages, where you can track it over time to see if it’s getting better or worse. You’ll also see it delivered to your Connections (including the Intercom Inbox!) — and stay tuned to see this metric appear in filters. 

Enhanced User and Account Detail pages

Notice that we’ve also enriched your user and account detail pages with more metrics and more over time views. 

We’ve added new tabs on each detail page that allows you to see key Sherlock metrics over time:

For users, we have added Adoption and Frequency over time. For accounts we have added those, plus Active Users.

At Sherlock, we have never believed in static metrics. Sure, static metrics tell a story, but it’s not a whole story. Without understanding the “change” in a metric, you can’t understand if things are getting better or worse. You can’t get an entire picture. You can’t take appropriate action. 

Days Active breakdown

Finally, on your Account Detail pages, you will see a new option for Days Active below the main charts:

This tab offers you the ability to drill down on specific days to see how many — and which users — were active on specific dates. A brilliant way to quickly understand when certain users use your product. 

We hope you enjoy these latest additions to Sherlock!

Introducing Sherlock Alerts: Product Engagement Insights Where You Need Them

Introducing Sherlock Alerts: Product Engagement Insights Where You Need Them

When we set out to build Sherlock, our goal was to help SaaS businesses of all sizes operationalize their product engagement data. After running many SaaS businesses ourselves, we knew how essential this data was to all our customer-facing teams — yet how hard it was to for them to access and use it. We knew that, at the very least: 

  • Sales needs to know which trials are actually using the product and when users become activated
  • Customer success needs to know when key accounts are in danger — or ready to expand;
  • Product needs to know if key features are being adopted;
  • Marketing needs to know which customers were most successful so they can go get more

We created Sherlock to help package this data in a way that all of these teams could easily benefit. 

But we also realized that to make this data truly actionable, teams needed to have it in the places they lived on a regular basis. This is why we opened up connections to bring this data to Segment, Intercom, Salesforce, and more. 

But still, that wasn’t enough. Not only do these teams need the data and need it in their tools of choice – they need it fast. This is the job of our latest release, Sherlock Alerts. With Alerts, teams can ship their essential product engagement data from to Sherlock when they need it, where they want it — in Slack.

With this release, Sherlock has taken another big step in helping SaaS teams operationalize product engagement.

What Are Sherlock Alerts?

Quite simply, they are the easiest way to keep your team updated on how your users and accounts are engaging with your product.  
With Alerts, you can design notifications for any engagement situation. If there’s something you want to know about how your users are engaging (or not engaging) — there’s an Alert for that. 

So What Can I Be Alerted About?

Good question! Here’s just a few things:

There’s been a change in a user or account’s Engagement Score

product engagement alert sample engagement score

There’s nothing more fundamental to Sherlock than the Product Engagement Score. It’s a one-number overview of how engaged your accounts are with your product.  And now you can get alerted whenever there’s an increase or decrease in an account’s score. Stay abreast of churn threats or — even better — expansion opportunities!

A new account is created or new user is added to an existing account

product engagement alert sample new user

Ahhh…is there anything more exciting than seeing new users being added to your product. One of the purest shots of dopamine. 

But even more important than the self-satisfaction these alerts bring, is how they can keep your sales and CS team on top of these new entrants. Knowing when new accounts are created can help your sales team get a jump on the competition. Knowing when new users are added to existing accounts can insure that your CS team is delivering a spectacular initial experience to these important users.

A trial lead has become activated – PQL alerts

product engagement alert sample pql

Ok, let’s get real. The vast majority of today’s SaaS offerings have some kind of free trial or freemium offering. It very difficult to compete without it. Try-before-you-buy has become the norm in today’s software universe. This means your sales team is constantly selling to prospects who have already started to use your product.

This means your salespeople need to know how far an account has progressed during a trial period. They need know the activation rates for every trial account. And they need to know once an account passes a certain threshold of Activation because this is an essential signal for conversion. 

This alert is foundational for any effective PQL process. A bit of a game changer here.  

Someone’s entered a segment

product engagement alert sample entered segment

User and Account segmentation is one of the most important features in Sherlock because they allow you to organize and track the important slices of your customer base. In many cases, knowing when any user or account enters any of these segments is important. With Sherlock Alerts, you can.  

Bonus! Create Your Own Alert

product engagement alert sample custom alert

At the end of the day, your product is unique. Instead of relying on a “one-size-fits-all” approach to alerts, we wanted to ensure maximum flexibility in this feature. We wanted our users to be able to create Alerts based on any engagement scenario – and that’s what we’ve done with our custom alerts. 

Don’t just measure Product Engagement — operationalize it

Our goal at Sherlock is to help every SaaS business (that’s you!) improve how they execute and compete. Knowing how users and accounts are using your product is essential information for high-performing sales, CS, and product teams. Many of their day-to-day decisions are based on this information. If they are spending their time fishing for it, that is time they are not selling, supporting, or building.

Getting this data into the hands of your people in a way they can use it, in the place they want it, at the time they need it is what Sherlock is all about. This latest release is a huge step in this direction.

We hope you love them as much as we do!

How to Track Trial Account Activation with Sherlock

How to Track Trial Account Activation with Sherlock

If your SaaS product is like many with a free trial offering, then odds are, your customer journey probably looks something like this:

trial account activation funnel for SaaS businesses

Arguably the most important phase in this journey (and the one that causes us all the most agita) is the “Activation” phase. You know this phase. It’s the one that keeps you up a night. It’s the one that carries both euphoric satisfaction (Yes…a new customer!) and crushing disappointment (Why aren’t they using the product? Why don’t they love us?!) During this phase, your goal is to ensure that the accounts testing your product get to a point of “first value.” The fact is, without getting to this point, there is no way for them to assess whether or not your product will be valuable to their business.

If there is no “first value”, there is no value, period. There is no way to convert a trial user to a paid user unless they first become “activated” within your product. This is why to the ability to track this phase of your customer journey is oh-so important—it’s essential for your entire operation to be able to tell both how many and which accounts reach this point.

Defining activated accounts

Simply put, an “activated account” is an account that has performed a series of actions which get them to the point of first value. This is different for every product. For a project management application, the point of first value might be:

• Account created
• Invited 2+ team members
• Created project
• Uploaded 2+ files
• Created 3+ calendar events
• Created 1+ tasks
• Completed 1+ tasks

For this product, accounts that do all of these things would be considered activated during their trial. It is clear that these accounts have used the product’s core functionality and should, at this point, be able to properly assess its value.

The specific events that determine an account’s activation are unique to every product. Activation for your product is going to be very different than activation for another product, even if they are very similar in nature.

As you can see, defining and tracking account activation is all about product engagement. Activation is defined by specific actions and engagement with your product. Given that Sherlock is all about product engagement, this is right in our wheelhouse.

Tracking activation in Sherlock

With Sherlock you can now very easily track the activation progress for your users and accounts. By setting up Activation tracking in Sherlock, you will be able to identify those accounts which have met your criteria and acheived “Activation”, those which haven’t, and every account in-between.

Setting up your Sherlock account to track engagement is actually very easy. Here’s how it works:

Step 1: Define Activation with activation criteria

set up account activation criteria for SaaS

Simply click on the “Account activation” link on your Account overview page and you can set the criteria for your activation. You can define this activation using specific events that an account should take, a series of account traits, or a combination of both.

Setting up activation criteria

Step 2: …….

Oh, right. There is no step 2. You’re done.

At this point, Sherlock will take your activation criteria and immediately calculate the Activation Rate for all your accounts. What is an Activation Rate, you ask? It’s elementary:

Activation rate

Once you set up your Sherlock account to track activation, you will see a new metric everywhere you navigate in Sherlock as well as in your various Destinations. We call it Activation Rate.

The Activation Rate describes an account’s progress toward Activation. It is always displayed as a percentage. For example, if your activation criteria has 4 steps and an account has met 3 of them, then its Activation Rate will be 75%. An account with an Activation Rate of 100% is considered “Activated”. 

This is a metric with which you will become very familiar once you set it up in Sherlock. It will help define many of your internal processes – from sales to CS to product development.

Where to find Activation Rate in Sherlock (and beyond)

Activation Rate is a key metric that you can find in various places in Sherlock.

First of all, you will find it on every account detail page:

As well as on the Account overview page:

You will also have default segments for Activated accounts that will allow you to see those accounts with Activation rates = 100%. At the same time, you will have the ability to create your own segments based on Activation Rate.

Finally, you will also be able to access Activation Rates in any of the tools to which you are sending Sherlock data. Here are three important places that you can connect to from Segment:

By connecting Sherlock to your team’s Slack account, you will receive a daily update letting you know if any new accounts have entered any segments you’ve created, including your new Activated Accounts segment. This will alert your team to any newly-activated accounts.

tracking activated account in slack

If you do most of your account management work in Intercom, then syncing your Sherlock account with Intercom is a great way to manage this activation phase. With this integration, you will see Sherlock account segments populate to Companies in Intercom.

tracking activated accounts in intercom

Having this data readily available in Intercom will enable your CS team to always know which accounts are activated (and which aren’t) while performing their day-to-day work. You can also use this attribute to trigger messaging from Intercom, as shown below.

tracking account activation in intercom

If you have a sales team working your trial accounts, then knowing when a trial becomes activated is essential for them. They need to be able to prioritize their leads on a daily basis. Knowing whether or not an account is activated helps inform when and how to engage with that account in a sales situation. It’s essential knowledge for a scaling sales team.

By connecting Sherlock to Salesforce, you will be able to import your account segments into Salesforce account records. From there, your sales team can create reports to show which accounts are actually activated and ready for that all-important follow-up call

Start tracking your account activation in Sherlock today!

Tracking trial account activation is essential for all SaaS products

Thought I’d end by stating the obvious.

The reality is, accounts that are trialing your product are at the most fragile, most vulnerable point in their lifecycle. At this stage, they are like newborn infants. The world (that is, the world of your product) is huge, unknown…scary, even. They need support, they need nurturing, and they need attention. How you monitor and act during this period will determine whether your new account becomes a strong, happy, successful adult, or…well, not. By tracking the health of your accounts closely with Sherlock, you will put yourself in a much better position to see to their proper development. Happy parenting, SaaStrs!

Feature Update: Intercom, Updated Segmentation Filters and More

Feature Update: Intercom, Updated Segmentation Filters and More

Winter is coming, so the Sherlock team is generating its own heat by pushing features at a blistering rate! We continue to inch toward our goal of making Sherlock an absolutely indispensable part of every SaaS stack.

To that end, we have a few nice releases this week:

Intercom company integration

This was one of our most requested features and we’re excited to be able to release it. Thanks to our users for continuing to push us on this. Also, a special thanks to the Intercom team for working with us on this one. This wasn’t as straightforward as we expected it to be and we appreciate their team being flexible.

With this release, when you connect your Sherlock account to Intercom, you will ship over both Account Segments and Account Scores to Intercom.

You can add these segments and scores to your Intercom ‘Company’ views by selecting them in the attribution selection box:

That will allow you to always see these scores and segments in your Company views:

Not only will this allow your team to get amazing context on each one of your accounts while working in Intercom, but will also allow you to use Sherlock scores and segments to target users in your messaging. For example:

  • Email users who belong to an account with an engagement score above 50
  • Email all users on an account who are in the “New trial, not activated” segment
  • Email congratulations email to all users on a newly “Paid account” segment
  • Show pop-up to all users on an account that hasn’t entered “Used feature X” segment
  • and more…

You can learn more about using the Intercom integration here.

Additional account segment filters – number of users

We also had many requests for the ability to segment accounts based on the number of total or active users on the account. So, we added that to our filter options:

With this, you can create segments of accounts that have a lot of users, or very few users. Target accounts with only one user with a message to add more. Or create a segment of accounts with more than one user – but only one active user – as a precaution. Those are risky accounts!

See all-time activity for users and accounts

Sometimes, it’s very important to see a user or account’s activity over their entire lifetime – but very often hard to find. Sherlock has now made that very easy.

On any user or account detail page, you can now toggle the date of the Activity Breakdown to ‘Ever’ – allowing you to see what events have been triggered by that user/account over all-time (at least since you have been using Sherlock). No longer do you have to wonder – “Did this account ever do XYZ?” Just toggle and discover!

Ready to see it in action? Get a demo.