Blueshift Labs is a marketing automation software solution offered by Blueshift Labs. It tracks data for individuals, but does not have an attribution model.
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Metadata.io
Score 8.2 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.
I think Blueshift is well suited as a CRM. It does a great job handling the customer information that you need, placing it, and displaying it in one concise place. They could do better in regards to being forthcoming with information. Documentation is weak, and depending on who you speak with on the support team, they may have different answers to the problem you're having. In my experience, there are a lot of inconsistencies in how they think about reporting, that someone who's been in marketing for the past 10-years, has to relearn and rethink how we share data for KPIs.
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.
Customer Segments + Recommendations Tool - Blueshift and has helped with automating and personalizing our retargeting efforts. The true value of Blueshift was realized when we could launch triggered marketing campaigns targeted to specific segments based on a user's behavior onsite, and deliver relevant personalized content using the AI-based Recommendations tool.
Integration with Segment and other apps
Retargeting with dynamic content pulled from data feeds / catalogs
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.
Customer has a better UX/UI but Blueshift's capabilities are far stronger. The price is also more interesting considering what it does. Blueshift doesn't have certain integrations that are useful for startups (like Slack) but it's something that they should be having soon. Social media interconnection is also a step in the right direction that Customer hasn't moved toward
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.
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
