Layering makes a difference.
Why GTM with one arm tied behind your back?
Discover relevant research with our AI-managed Data Library. We integrate three key data sources.
GetWhys Data
Our proprietary dataset consists of 45-60 min conversational interviews with real B2B software users and buyers. Our research team adds to this dataset every day. For anything it doesn't cover yet, you can submit a Research Request—our researchers will get you answers in fewer than 10 business days!
Competitive IntelligenceBuyer UnderstandingDecision-MakingVerbatimFinding PerspectivesCustomer Experience
Organizational Data
Call transcripts from Sales and Customer Success, past research, product docs—your organization is swimming in customer intelligence. Integrate it to add value to your instance.
Reflecting Customer PoVsFunnel PerspectivesWin Loss DataExpert Network Interviews
Internet Data
The internet’s enormous and full of useless (or, worse, erroneous) data. We’ve created an agentic search experience that sifts through it for you. Signal, noise, etc.
Feature ListsSentiment AnalysisPublicly Available Information
“As a product marketer, being able to extract insights from my organization’s data, everything online, and GetWhys’ customer interview database, all in one location, is an absolute dream.”
Director of Product Marketing, Mission
Improve your win rates
Understand what feature gaps lead to lost deals by augmenting what your sellers are hearing (Organization Data) with the impartial data we heard in the field (GetWhys Data).
Layering is better: Not only will you understand the deals that went silent—you'll also hear about the deals you weren't even invited to.
Meaningful competitive intelligence
Build competitive landscapes by combining our deep research (Internet Data) with firsthand perspectives from competitor customers (GetWhys Data).
Layering is better: Internet Data's great at compiling lists of features (and ingesting competitor marketing). In-depth interviews uncover insights that move the needle.
Go after new segments with confidence.
Build an effective GTM by combining our existing dataset (GetWhys Data) with net-new research requests (also, GetWhys Data). No. More. Guesswork.
Layering is better: The vast majority of the time, we've already captured the information you need—but, in case we haven't, unlimited Research Requests are included in your GetWhys access.
Your new superpower: Instant customer research
AI tooling, specifically for B2B marketers, build on our dataset. Dive into our proprietary Data Tools, Compass and Echo.
Interact quickly with a simple prompting interface for instant customer insights.
Use head-to-head content comparison mode to make every word resonate.
Frequently asked questions
What data sources do you use? Where do you get all this data?
Our products pull from three different data sources: the Internet, your organization’s internal data, and our database of in-depth interviews.
We’ve invested significant resources into building GetWhys Data—our database of in-depth interviews with B2B audiences (primarily, software users and decision-makers), because they’re a highly valuable, unique source of information.
These interviews are typically 45-60 minutes long, and cover a broad range of topics. We are continuing to invest in building that database, because we think that:
- AI-driven outputs are only as good as the data they can access, and
- That data is extremely valuable for our customers.
We’ve built our platform explicitly to layer its most interesting insights for you.
How will I know if you have relevant data?
You’ll get to see it firsthand!
You’ll have a personalized demo, where we’ll use GetWhys products to see insights on your target audiences, competitors, and your own messaging.
After that, you’ll have a month-long free trial to see the difference on your own terms.
How long does onboarding take?
We recommend planning 15 minutes for individual onboarding sessions, and 30 minutes for small team onboarding sessions.
If you’d like to bring a cross-functional team onboard, we strongly recommend each team have their own onboarding call.
Note: We don’t tack-on any fees for onboarding or implementation. We want your team to have the best possible experience using GetWhys products; investing time into the initial onboarding / welcome experience is well-worth it.
Do you train AI on our data?
Nope.
(PS: Since your IT team will ask, we’re mid-SOC II compliance, and have a bunch of paperwork we can share with them).
How are you able to be so affordable?
Most primary research products and consulting firms have a per-project business model; they gather data for a single customer. They need to make enough margin on each engagement to be profitable.
We don’t need to be profitable on a per-interview basis, because we expect multiple customers to benefit from the insights in each interview.
I’m a product marketer, and I don’t have a lot of budget (or, any).
Well, that isn’t quite a question, but we get where you’re going.
Most of our customers are Product Marketers, and many of them started off with limited research, software, and discretionary budgets.
We give every customer organization a month of free access, without needing a contract. Over the course of that month, we help them build a business case for GetWhys.
Don’t worry—very few of our customers started off with a dedicated customer research “” line item in their budgets. We’ll help you demonstrate that value for your leadership.
How often do you refresh your data?
Constantly. The GetWhys platform prioritizes newly gathered information with an exponential decay formula, so you’ll always see the latest and greatest. And, if you’d like to see something new-er, all you have to do is ask.
What is Compass?
Compass looks like a standard AI conversational interface… but it produces information you couldn’t find anywhere else, because it draws data directly from GetWhys Data, our proprietary dataset of in-depth interviews with B2B audiences.
- Unlike other AI tools, Compass cites its sources—including from our real primary research.
Our customers use Compass to Research, Validate, and Create. It’s the first tool built specifically for PMMs.
What is Echo?
Echo is the first* tool that provides immediate, authentic customer feedback to your writing. We’ve described it as an instant focus group; or “Grammarly for customer insights”.
Echo is designed to help you create written content that will resonate with your intended audience while remaining in your brand voice. Echo works by contrasting your writing with behavioral insights about your target persona in InsightDB, and displaying that analysis side-by-side with your writing.
* at least, as far as we’ve heard. Please let us know if we’re wrong.
What is this GetWhys Dataset you keep talking about?
We’ve built our database of in-depth interview transcripts with b2b audiences. Interviews are 45-60 minutes long and are anonymous.
GetWhys users can trace back insights across each of our products to specific snippets from interviews. While they can see metadata (e.g., title, industry, date), they can never trace insights back to a specific individual or organization.
What is a Research Request?
Our customers can place unlimited Research Requests as part of their subscription. Our interviewers identify and interview the right audiences. Research requests are completed within a quick turnaround—typically 10 business days, though some customers have a 5-day baseline.
How do you stop fraud in research?
We make sure that every interviewee accurately represents (1) themselves and (2) their domain expertise by:
- (1) Associating them with a LinkedIn profile & conducting interviews on video
- (2) Using our proprietary data to conduct knowledge tests
We’re able to ask people questions that LLMs or Google can’t answer, because that information’s never been documented before.
What is Organization Data?
Organization Data allows you to combine your organization’s materials (e.g., Sales calls, primary research, product requirement docs etc.) with GetWhys data.
We’ve seen customers use this to collect really interesting insights—for example, “What feature gaps lead to us losing deals” returns not only analysis of what their Sales team has heard + what they collected through Win Loss research, but also what we’ve heard from competitor customers who declined to evaluate them in a purchase.