But you’ll see place things like auto repairs and — that are doing well, professional services that are doing well. But just like pure construction, those that do lending not doing well. So there’s sort of ups and downs across the small businesses that we see. But in aggregate, the health comes from the numbers that I shared with you.
Siti Panigrahi: Thanks for that color, Sasan.
Sasan Goodarzi: Yeah. Very welcome.
Operator: Our next question will come from Alex Zukin with Wolfe Research.
Allan Verkhovski: Hi, this is Allan Verkhovski on behalf of Alex Zukin. Thank you for taking the question. QuickBooks Online accounting growth decelerated another 3 percentage points this quarter. With respect to your growth drivers, is there anything that got meaningfully worse in the quarter? Or something that is worth emphasizing to investors? And that will be helpful for thinking about what growth could look like for the rest of the year.
Sasan Goodarzi: Yeah, that was really driven by a larger price increase last year versus this year. That was really the only — the driver. We liked what we saw in terms of our acquisitions, our retention. So that’s really the variance.
Allan Verkhovski: Okay. And as just a quick follow-up, would you be able to step through the monthly linearity that you saw in Credit Karma through the quarter and in November? Thanks.
Sasan Goodarzi: Sorry, can you ask your question again?
Allan Verkhovski: Just on the Credit Karma, thinking about the linearity of the business through the quarter and November, I was wondering if you could just kind of talk through on a monthly basis what you saw in the underlying trends for Credit Karma?
Sasan Goodarzi: Yeah. Well, I’ll answer your question in two ways. One, as you heard in our prepared remarks, we saw and we anticipated further tightening by our partners. By the way, it happened exactly the same time last year. And so we expected that as a — our partners prepare for the end of the fiscal year and next year, there would be some further tightening, and that’s really what we saw. And that was included in our expectations and in our guidance as we thought about the year. That’s number one. Number two, there — not everything is linear because it depends on the number of days like a month like November based on in the US, based on Thanksgiving week, the number of days that people take off that actually impacts certain behaviors. And so there is no linearity. But the quarter just in total was in line with what we expected.
Allan Verkhovski: Thank you.
Sasan Goodarzi: Yeah. Very welcome.
Operator: Our next question will come from Alex Markgraff with KeyBanc Capital Markets.
Alex Markgraff: Hey, thanks for taking my question. Yeah, maybe just be curious to understand, Sasan, as you’ve done some of the testing around Intuit Assist across product categories, has there been any sort of price testing involved in that as well? And how well received has that been if so?
Sasan Goodarzi: Yeah, sure. Let me answer your question in two ways because I think they’re — it’s a great question, and it’s connected. First of all, the biggest insight and learning that we have had is, it’s really important to have embedded benefits where the customer is doing the work versus sort of something on the side where the assistant is there to help the customer. So what I mean by that is while a customer is looking to build a marketing campaign right within the flow, we, in essence, help them with the audience they should segment, the audience they should target and then we will build their marketing campaign for them, but with them in complete control. So that’s a really — it may sound really obvious, but it’s a really important learning, which, by the way, translates to also what we learned in tax, which is within the flow of helping a customer understand their money outcome, helping them understand and doing accuracy checks for them.
And if they miss something, calling it out so they can address it right then and there. Those are examples that, by the way, is consistent across all of our platform workflows where embedded matters a lot. The second is depth, depending on the customer and what they’re trying to do, there’s a level of depth that they want to go to. So an example is within QuickBooks, one of the things that we’ve been testing and it’s been testing really well is a business summary. And the business summary, in essence, provides what we believe are the most important things that, that customer should know and the customer that engages with those business insights and ultimately, will create reports or ask more questions. What we’ve learned is we’re not building propensity models in terms of the timing of when to connect them to an expert.
That’s a monetizable event for us because if not, you can go on and on having a Q&A and ultimately not get to the benefit as quickly as possible. So those are major insights and learnings and those insights and learnings have led to how we’re thinking about monetization. In the case of Mailchimp, having GenAI SKUs based on the things that we can do for customers automatically on their behalf. In the case of QuickBooks and by the way, TurboTax it’s a monetizable event because it’s a gateway to human expertise and expert help. And then we will be testing GenAI specific SKUs also in QuickBooks. So those are illustrative examples of based on the benefits that we’re learning about what’s important to customers, that then informs how we think about price testing.
And so far, we’re pleased with what we’re learning and how fast we’re pivoting as a company.
Alex Markgraff: That’s great. Thank you, Sasan.
Sasan Goodarzi: Yeah. Very welcome.
Operator: Our next question will come from Steve Enders with Citi.
Steve Enders: Okay, great. Thanks for taking the question here. I guess I’m going to ask on the tax business, what you saw with some of those newer product initiatives and maybe what kind of drove the strength there year-over-year and the share gains with some of those newer initiatives?
