AUDIENCELAB
Welcome to the AudienceLab FAQ page. Here you will find answers to the most common questions about our platform, Data as a Service model, and how verified audience data can help agencies and advertisers improve targeting, lower ad costs, and scale profitably.
The data is most likely fresher than any other audience graph on the market. We have over 10 million emails that get verified every single day. Then every three months we do an NCOA which is National Change of Address Database update. This ensures all of our addresses are up to date, that we have the latest files in terms of skip trace, that we have the best mobile numbers and anything to do with more offline data sets or anything to do with contact data sets. Then anything else in terms of behavioral data comes down to our intent feed and that’s updated every single week so there’s 250 billion URLs that we reprocess every week.
In terms of the actual cleansing of the data and how we make sure the data is accurate, we do new build outs every few weeks. We take all feedback from current clients, whether it be call centers we work with, people that have sent emails, ad results, ingest feeds coming from our DSP. Absolutely everything, we take that in and then we actually reprocess the build so it is driven by feedback, not just any kind of bias that another data company would have.
The data is compliant with regulations. TCPA really comes down to how you use the data as opposed to what the data has. In terms of how we collect the data from our partners, how we append it to cookies and hems, everything is a hundred percent compliant in terms of TCPA. That is about how you use the data in terms of whether you’re going to honor the do-not-call list and whether you’re going to continually call someone even if they’ve asked you not to.
In terms of CAN spam, that is similar to TCPA. It’s based on whether you’re going to actually follow those rules. So long as you have any emails with a clear opt-out, you are recognizing this is a promotional email, you’re not trying to do anything that is spammy, then you’ll be fine for both TCPA and CAN spam.
GDPR is really more across Europe, and we don’t do anything in Europe intent-wise. We do have some b2b data for Europe, but anything outside of that is GDPR compliant.
We have our own audience graph that we’ve built across three years. We have 40 data sets or 40 data sources that contribute to this audience graph. This includes online sources and offline sources.
Online sources are things like emails. So we have over 7 billion emails. We’re cleansing those every single day. Then we tie those two cookies and then we also have behaviors that come through every day through a live feed of URLs. This is over 250 billion URLs per week.
Then we have offline data which comes from working with financial institutions, credit bureaus, telecom companies where we verify the phone number and we skip trace the data which basically means we ensure that the same data is across other data sets. So the skip trace database alone, each phone number would be screened across 10 to 20 other data sets.
We do not provide proof of opt-in. Even if somebody has opted in to a website, and then we legally and compliantly acquired that list of emails, that does not translate to the prospects then using that lead. So we can see where the lead came from in terms of the first origination of where the lead gave their consent, but that consent does not carry over to meaning that the next company can reach out to them without having to follow any guidelines such as canned spam or TCPA compliance.
A lot of these data companies, such as Zoom, Apollo, and Seamless, are white-labeling products or using products which are derivatives from other major data sets. We don’t do that; we actually own and source all the major data sets and do all of our cleaning in-house. This means that we would have data from Apollo, Zoom Info, and Seamless inside our data builds, but based on the actual accuracy of the data, whether we would include it and where we would include it. So basically, we have all the data of these companies but we clean it ourselves, and we do everything in-house. We don’t use any kind of third-party derivative which is just renaming another data set and it hasn’t been properly tested.
Apollo and Zoom Info are using derivative data sets which is basically a data set they have bought from a wholesale company and then they have renamed it or have done something on top of that. They don’t actually do proper flattening with their data set. So they’re essentially buying the data set and then adding a name to it or branding it.
What we do is a lot different. We actually take the raw data sets, not the derivative data sets, and then we process them ourselves to make sure that everything lines up and that you’re getting the best contact point, the best data point for every single person. We take real-time feedback from our clients and then we apply this as a scoring system in how we flatten the data
We built our own email verification system which has both SMTP and deep email verification for catch-alls. We verify up to 10 million emails every single day, so every single 24 hours there’s 10 million emails that we verify and then add back into the data process. In terms of phone numbers, we do a few ways to verify them:
It’s actually quite simple. So what we do is every time you go into a browser, you are essentially giving consent and giving them your cookie. What we do is then we take that cookie and we have a pre-matched table of all the cookies, which is all the browser sessions you might have attached to HEMS, which are hashed emails. Because we have this then tied to different consumer data sets, we have this tied to IPs. We have this tied to maids. We’re able to build a complete profile on someone just from extracting their cookie. And this is 100% compliant and done in a way that is SOC 2 compliant.
Yes, we have a detailed help center, which is docs.audiencelab.io. This is essentially all of our high-level documentation and anything to do with the technical documents.
Then we have a full API sandbox, which is available in the API section. This is done on Mintify, so you’re actually able to test the API and see how it looks and how it works.
Then we have the skool, and the skool is full of content on exactly how to use the data, how to sell the data, and how to make sure you get success. We have a new workshop every single week which goes through different use cases and interviews clients. Then we have about five sessions every week covering things like sales, how to use the data, and everything else.
Yes, you can, so long as the audience has enough about it online to build a custom model. If your competitor is very niche and there’s only five different articles online, it’s going to be very hard to train a concise model that’s going to be accurate based on that. So you just need to ensure that the competitor has at least two pages on the SERPs of content that we know people are searching for.
The pixel is gray labeled, which essentially means we have a domain that is not tied to anything. No one can use it to find us. And then you can white label on top of it which means you can add your brand and make it yours. It can not be used across multiple domains because we track things based on the hems that we get at the browser level. And we need to associate each pixel with its own domain. You can’t however use it across custom domains.
Yes, it absolutely can and this is how it should be used and how we recommend most of our clients use this data. Having the ability to target someone on any platform by having both their hem and then being able to call them, email them, send them postcards or whatever is extremely powerful. We highly recommend this and this is a huge push in our 2026 game plan as we are pushing our own workflow builder where you can do just this.
We do have a connection to SMTP via something called Resend. This is anything like Conversion Kit or any type of mail server, so you can send emails directly from this. But we do not recommend that you send cold emails from this, because then you could potentially burn the reputation of that mailer. If you’re doing anything that has to do with cold email or anything we’re going to be reaching out to people that may or may not have a positive response that is significant, then we recommend that you still use external tools such as Instantly and make sure you use inboxes that you can rotate.
It entirely depends on what your goals are. One of the easiest things you can do is to find an existing client which you should already have if you’re discussing working for Audiencelab or basically anyone that has any kind of traffic running to their website and then license them to Pixel. That is just an easy way that you can get clients virtually the next day. It doesn’t require any massive proof of concept. It doesn’t require any type of massive setup. You can get a client on board them, take 10 minutes to install the Pixel and then see data coming and flowing through essentially the next day.
We do not offer a free trial because you are going to be downloading a lot of personal identifiable information. For us to have a free trial would mean that we could have bad actors come in, download a lot of this data, and then if they’re not the right client or if they’re not going to be a good partner, or for whatever reason, they could choose to use this data in a way that could have us liable.
We follow a three-step system with all of our clients:
You can sell the data itself (such as a pixel).
Selling some type of system to go with the data (this means a way to be able to integrate this). Could be any kind of additional setup, maybe Nate, and using our Workflow Builder.
Charging on top of the systems to charge some kind of deployment (whether it be doing the copy, whether it be handling sales calls, auditing, and making it so that it’s an end-to-end solution).
We are a data platform, we are not a course, we are not a consulting program. We do offer consulting and we do offer 5+ calls every single week, but that is just an added bonus for using the data.
But we are not any kind of program where we can make sure that you’re using the data in a certain way. You could have the best data provided and you could still use it in the wrong way. You could still choose to not follow materials, so that is why we do not have a guaranteed ROI or client buy-in because there are so many ways you can use the data and it would be impossible for us to make sure that every single thing you do is going to be correct unless we were to sign up for a one-to-one coaching program and to have calls with you every single day.
It’s quite easy with our new studio builder. What you can do is you can create an audience and then you can do a sub-segment and then you can generate an end-point to plug into any of those platforms.
As well as that, we do have some integration such as HubSpot which is in our workflow builder. This is in beta, however you can easily access it just by switching the beta switch to on.
Data syncing is an automated process every single day around the same time each day. We get a whole new batch of URLs that we’ve processed, so this is 250 billion URLs and it breaks into that divided by 7 days, so there’s a couple billion URLs every single day that we analyze and then we append it to the contact files. So then when somebody builds an audience, it appends to that data and makes sure they have the latest data. If they set up any kind of refresh in our system, everything is completely automated.
Yes, we have some of the best onboarding processes you can imagine for this type of platform. If you go into the skool, the best way to get started is to go into the getting started guide, and that is possibly every question you would have answered if you go through there. You’ll know how to fully use the platform.
Then the best next step is to either set another call, or if you are already familiar, find a way that you want to activate the data. We have comprehensive guides for cold email, we have comprehensive guides for using in Facebook ads. We have our own DSP which is essentially audience ads, which is a way for you to run ads without using any other system and pay a wholesale CPM. We have basically every guide as an activation point.
Yes, we have a full ticketing system. We have essentially five staff that are full-time, and then a chatbot which is available on the site once you create a ticket. Then they can get back to you usually within a couple of minutes if it is between the hours of 8:00 a.m. and 5 p.m. Eastern Time. But we do have a complete teaming system and direct support access. We also have our school, and then we have a weekly workshop. Along with that, we have five calls every single week with different members of our team to go through any errors you might have.
Yes, the whole platform can be white-labeled as your own software. You can come in, you can add your own domain, you can create sub-accounts for clients to have their logins. You can even use an impersonation feature so that you can access your clients’ sub-accounts from the main admin account. Anything that we can do to help you in terms of our admin, you can do to help your client. You have all that functionality.
The limits are only based on what you set. This is based on how many credits you will allow a client, and the max size of lists that you allow the client. Then there are things like:
This is only limited by what you can give your client, and this is deducted from the original plan that you have.
Yes, we have multiple audiences for all of these niches.We also have subaudiences too. So if you are doing a roofing audience and you were to use that audience in let’s say a direct outbound, you would need something a bit more specific. Roofing wouldn’t cut it, you would need to focus on a subaudience of that, which might be roofing brands or it could be people that are looking for a roof more urgently. Not only do we have those audiences but we have the subaudiences of those which would be more effective.
When choosing a data partner, it’s actually better to go with a company that is smaller because the data companies that cater to big brands like Disney, Verizon, etc. Those companies are going to get success no matter who they work with, which means that data company is never actually held to the fire.
We work with agencies mainly, and they tell us if the data is good or if the data is bad. We get a level of feedback that possibly no other data company would get. They’re able to put into our scoring and put into how we build and process the data. Bigger companies just can’t offer that, and the companies that they work with are similar to the Harvard effect where they were already getting results even before they came to that data provider.
That’s why we actually really like being the size that we are because we’re lean, we can make updates quickly. If you want to work with a big data provider, you can, but just know there won’t be that closed-type feedback loop that you would have with us.
This entirely depends on the platform and the spend.
We have a way to make campaigns last a lot longer by using ads inside of programmatic, however depending on how much you spend, you will still have to provide a decent amount of creative just to keep things fresh and to make sure that you’re not annoying your users that you’re targeting.
