KickFire’sB2B solutions provide account-level information such as industry, revenue, employee count, and more based on an IP address. KickFire’s proprietary TWIN Caching® technology and robust firmographic database deliver business intelligence for first-party intent, content personalization, account-based marketing, predictive/intent, data enrichment, and much more. KickFire offers IP address intelligence and B2B firmographic data through its LIVE Leads platform, API, and integrations…
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Metadata.io
Score8.8 out of 10
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Based in San Francisco, Metadata.io is a Demand Generation and ABM platform designed to execute thousands of B2B campaigns in a matter of hours, automatically optimizing campaigns for pipeline impact at a high velocity.
For small businesses that don't have big budgets for marketing automation, VisiStat is an ideal first step. For companies that have sophisticated systems in place, VisiStat will augment your analytics and provide a deeper dive into your website activity. Since the implementation involves adding javascript to your site, the user should be familiar with how to do this
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Metadata is well suited when you have a really large ad budget (>50k per month at least). This is because the power of metadata lies in the ability to quickly set up and run a large number of experiments (combinations of channel, audience, creative, and conversion assets). To evaluate these variations, all of them need a large number of impressions, clicks, and conversions to be statistically relevant. If your budget is smaller, you will either have a very small number of experiments (not fully utilizing the power of metadata), or your experiments will not have enough clicks to make informed decisions. We had expected a better explanation of this from metadata before signing up.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
De-anonymizes website activity at the account (company) level.
Identifies net new target accounts.
Displays click path, time on page, time per session, and engagement level of each de-anonymized website visit.
Gives great daily insight on watchlists you've set up.
Delivers every possible de-anonymized visit with little filtering for accuracy.
More on the watchlists. I really love that you can receive immediate alerts on website visits from accounts you've listed on your watchlists. This way, you never miss the window of opportunity to reach out to your key targets while they are currently on your site.
Salesforce integration is good. KickFire pushes most recent website visits, pages visited, website click path, activity percent change, and more to the given account in Salesforce. You can then create reports and run them regularly to see which accounts are surging in website activity. This is also great for account prospecting, and for planning your sales outreach plan of attack. You can see which bits of your website content are most interesting to the company, and which products they are most interested in.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
If you don't have a large budget and audience it's hard to meaningfully optimize. If I have 4 ad creatives, to 2 audience groups on FB and LinkedIn, that creates 16 experiments, each of which needs an ample enough budget, say $40/day, that's now $640 per day or $19K per month.
Limited ability to edit ads after they've been launched. You usually have to stop the ad, clone it, and launch a new campaign.
Can't add new ads to existing campaigns which limits the ability to optimize. If I start an MD campaign with 4 ads, and in a few weeks we see that one is working well and the other 2 are not performing, I can pause those (or it can autopause by rules), but I can't add 2 more new creatives to the mix against the high performer. I'd have to either stop the high performer, and recreate it in a new campaign (losing likes and comments), OR - leave the high performer in the first campaign, and create. a second campaign with the new ones, which will only optimize against each other.
Limited to a single conversion event on a landing page. I'm not able to choose either a Demo Request OR a Sign-Up conversion, I can only choose one.
Google search ads are doable but aren't necessarily more feature-rich or easy-to use than native, so there's no value added to doing it through Metadata in my opinion aside from unifying ad reporting.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
They are very good at solving cases that I bring to them. I'd like to see more proactive support to make sure we are getting the full value out of the solution.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The tutorials are very good and they explain how to get started using the system. The online webinars are very good for advancing your knowledge of the product.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I covered this pretty extensively in the cons. The key differentiator here is that KickFire serves up almost all the data (or so it seems) to the end client. The client then has to do their own work on interpreting it. This is good because it means we don't miss out on any website activities, but it's bad because we get a lot of false positives. 6sense uses the confidence score approach I mentioned in the Cons section, which means the match rates of the data we get are much higher. Our experience with Clearbit comes from other tools that are built on it (Bombora, Drift, etc.), and it has not been great. We've seen many more inaccuracies with Clearbit.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We chose [Metadata.io] because it was a smaller company and could get more personalized attention. The price was better and they seemed more eager to support us. The feature set was what we were looking for and not more - it was exactly as robust as we needed it to be. Didn't want to pay for features we weren't going to use.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Huge decrease in CPLs, CPMQL and Cost Per Opportunity
Big improvement in MQL to SQL rates
90%+ of our leads from paid social now have valid business emails, before it was like 30%
Saving us hundreds of hours over the course of the next year doing daily manual optimization and budget management tasks for us so we can focus on strategy and testing new things
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
