B2B vs. B2C Data and Use Cases

See how SparkToro's audience data powers both B2B and B2C marketing, from precise, ABM-style targeting of niche buyer groups to reaching direct-to-consumer audiences across social, search, podcasts, and newsletters.

Is SparkToro a great B2B tool, or is it great for B2C marketing? In fact, SparkToro is built for both use cases, and our data is really helpful in each of these. I'll give you a couple of quick examples so you can see how B2B and B2C data is included in the tool.

Here's a great example. This is manufacturing and logistics, which is a folder I've created to house a bunch of reports I've run about various types of folks in this group. Let's look at materials buyers for West Coast multifamily builders, an extremely specific audience. You can see how I've described that group here.

This is giving me data on market size. It's telling me about demographics, which might not be all that interesting unless I'm doing particular types of positioning or advertising campaigns. But it tells me where I can reach this group in terms of social networks and search and AI tools, which they use more and less than other audiences.

It will show me what websites they visit, which can be extremely helpful if I'm trying to do direct advertising with these parties, if I'm doing sponsorships, or if I am attempting to figure out what brands they're familiar with. We've got data on brand affinity.

If I want to do pitches to reach these groups through these folks' email newsletters, sponsored or unsponsored, or get into their article sections, or if I'm looking for data on their behavioral attributes like what sorts of things they visit, what YouTube channels they watch, what podcasts they listen to, it's very helpful from a B2B perspective for precise targeting.

Even ABM, account based marketing types of approaches, can be helpful here, because we can potentially buy lists of listeners or readers or attendees from these kinds of places and then go target them one to one as we think they're appropriate. So yes, B2B data inside SparkToro is incredibly helpful, but it's not alone.

Let's look at another one, women's health and beauty. Here's women entrepreneurs in skincare and wellness. This group is, of course, very B2C, in a classic direct to consumer or retail market. Again, we've got data. Obviously the demographics specified there are very particular, but we've got data on where this group goes. Substack, in particular, is a nice place to reach this women entrepreneurs group.

And we've got data on their search and AI tools. Again, this website data, the podcast data, the YouTube data, the Reddit data, useful not from an ABM perspective, but instead from a targeting perspective. Same thing with search keyword data and AI prompt data. What are they talking about? What are they asking about? What are they searching for? How can we reach them with our content in the places that they pay attention?

And we've got social accounts, so we can look at precisely who is doing well with this group. This is a UK audience in particular, and you can see Marie Claire UK, Grazia UK, which doesn't surprise me at all, Benefit Cosmetics, Latest in Beauty. We can see what they're following, and so we are able to take inspiration from the social accounts that are reaching them.

B2B, SparkToro is absolutely fantastic and that data is super useful. B2C, the data is at least equally as useful. And it's really about saying, what's the problem that I have, and then how does this data help me solve that problem.

If you are someone who already uses AI tools, by the way, you will note that SparkToro has got a very nice MCP connector to your favorite AI tools, Claude, ChatGPT, and Gemini Enterprise. So you can very easily connect up via MCP and do some of those B2B or B2C workflow items with real audience data from SparkToro right in your favorite AI tool as well.