Meet Hiro Retention Analytics

Klaviyo Email & SMS Reporting Made Easy

We created Hiro to make it 10x easier to get deep insights about your retention marketing performance, so you can spend less time crunching the numbers, and more time executing on the learnings.

If you've tried to figure out...

• What is the actual impact of my post purchase flows on my LTV?
• How many of my popup subscribers are net new prospects? And how many am I converting?
• How are these recurring subscription orders inflating my attributed revenue numbers?

Or if you feel like it should be way easier to...

• Track how a new set of flows is performing compared to the old set on all the key metrics
• Compare the performance of a specific set of campaigns to another
• See your email creatives in context with their performance

Then keep reading.

Here's what you can do with Hiro
(that you can't do with your current reporting)

1. Get accurate revenue reporting

If you've ever thought, "those numbers seem a little too good to be true"...

Here's a perfect example. This brand sells consumable products and a large part of their revenue comes from Recharge subscriptions.

If you looked at their campaign performance in Klaviyo, it would tell you that these campaigns in August drove ~$60K in revenue.  

The problem is, they have a large number of recurring subscription orders that are getting attributed to their email campaigns. But how big of an impact does this make? Let's check it out.

With Hiro, you can filter out those recurring orders and see that these campaigns actually only drove around ~$30k in revenue. Wow, that's actually a huge impact.

2. Monitor multiple accounts at a glance

If you're an agency, freelancer, or holding co. with multiple accounts to manage, you know how time consuming it can be to monitor performance across brands.

With Hiro, you can quickly see how all your accounts are pacing against the previous month, previous year, or any other period you want to compare. This makes it easy to proactively triage accounts that are underperforming.

3. Track flow performance over time (without wanting to pull your hair out)

That doesn't sound so hard...

"How are those new abandonment flows performing compared to the old flows we had?"

Seems simple right? Unfortunately, it's actually pretty tough to do.

You have to export the data for the old flows, then export it for the new flows, then, shoot, you exported the wrong timeframe, then you export it again, then you put it in a spreadsheet, then you make a pretty chart, then you have to calculate the percent change... and on and on.
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Not anymore!

Just pick the timeframe you want to compare, select the flows you want to compare, and boom — you're done.

4. Deep dive on campaign performance, fast

Let's set the scene. It's 9:55 AM, your boss slacks you...

Your boss: "Hey can you pull the numbers for how much revenue we drove from sale campaigns in the last quarter that were targeting men?"

You: "No problem, when do you need it?"

Your boss: "My meeting starts in 5..."

Alright, let's do this. It's 9:55.

You open up Hiro. Shift+C takes you to the campaign deep dive. (Yep, there's shortcuts).

You select quarter to date from the dropdown.

You go to filter by tags — then you remember... you haven't been tagging the campaigns for the last 6 months.

Ok you can save this, let me filter campaigns with the word "men" or "sale" or "promo" in the title.

Oh no, the word "men" is also in the word "women". That's ok, I can can just add "women" to the exclusion filter.

Time! It's 9:57 and you slack your boss:
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"We drove $39,346.88 from our Men's promotional campaigns this quarter. And this is interesting, the AOV of the BOGO Blazers & Slacks campaign was 50% higher than the average sale campaign. We'll plan to find another opportunity to put together a similar promotion next quarter. Attaching a summary of those campaigns."

It's that easy. Sort, filter, and isolate specific campaigns and get the aggregate performance instantly. Then compare it to any other set of campaigns from any other timeframe. It's like magic.

5. Connect creative decisions to performance

Can I see the top 10 campaigns by CTR from the past quarter? Done.

More of a visual learner? Want to see your creatives with their performance to understand what's working and what isn't?

Here's an example, say you wanted to answer the question "Did adding that kids denim sale banner to the bottom of that email actually drive any sales of kids denim?". ‍

Did we mention you can download any or all of your campaigns as images in a tidy zip file to drop into a presentation or Figma with the click of a button?

6. See exactly how email contributes to your retention metrics

How is email improving my LTV? Let's talk cohorts

Ever tried to figure out how that new post-purchase cross sell flow is helping increase LTV? With our new cohorts feature, you can see the incremental lift of email marketing on your retention KPIs.

In this example, the value of a customer from this cohort after 90 days is $103. Of that, ~$17 of the value was from purchases attributed to email.

Cool, but that new flow was actually only targeting first-time purchasers cross-selling between our Tees and Hats.

Is there a way to see what the impact is on people who bought from one of those categories on their first order? Yep, just add filters.

Woah, now we can see that email actually contributed over $24 in value per customer for those who had Tees or Hats in their first order. Great work with that cross-sell flow!

7. Measure your subscriber to first purchase conversion rate

So how many people did we convert from that popup?

The devil is in the details here. You may know how many subscribers you got in a period but how do you know:
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1. How many of those subscribers came from your popup?
2. How many of those subscribers were net new prospects vs. returning customers?
3. How many of those people converted after subscribing and within what timeframe?

We take of all of that for you. Let's look at an example.

This brand had ~13k subscribers in August and ~10k had never purchased before subscribing.

Of those 10k, 667 of them converted within 30 days of subscribing. That gives you around a 6% conversion rate . With 373 of those conversions attributed to email.

Now let's isolate to people that subscribed via your Amped popup only.

Wow, that's a big change in the denominator. There was only 2,646 prospect subscribers via the Amped popup. Which means you actually converted ~22% of net new non-customer subscribers.

Let's take a look at that cohort over the first 30 days after they subscribe to understand when they're converting.

On day 0 (the day they subscribe), around 16.4% of that cohort had made their first purchase.

By day 7, about 20% had converted.

And then by day 30, 22% of the cohort had converted. In other words, between day 7 and day 30, they only convert another 2% of of those subscribers.

If we look at the raw number of subscribers converted by days from subscription, the picture is even clearer.

The vast majority of prospects that subscribe via the popup convert within the first 7 days. And almost none convert after that.
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So what's the takeaway? In this case, you may want to try sweetening the deal following the first few days after someone subscribers to give you the best chance of converting that subscriber. In other words, you need to strike while the iron is hot.