Drip Ecommerce CRM vs. Firebase

If you're looking to take your email program to the next level with automation, you definitely need to consider Drip. Their support team is always timely and helpful whenever we've needed guidance on the platform or using the API. They are constantly improving their tools. It never feels stagnant or lacking in critical features. Their prebuilt workflows make getting started very easy and you can start driving more revenue almost immediately.

Incentivized

Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.

Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.

Incentivized

• Simplicity + power. Drip is one of the quickest platforms to use in terms of setting up simple drip email sequences. Yet it also packs enormous power if you need to do complex automation.
• Drip's direct integrations with other systems mean you can easily create hyper-personalized communications and anybody can set this up.
• Drip's Javascript embed is easy to setup and great for helping to build deeper insights into customer behavior as well as triggering automation.

Incentivized

• Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
• When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
• Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).

Incentivized

• Possibly more email design templates for "new" users to automation, HTML coding, integrations, webhooks, etc.
• Any supported integration partners are always good to see. They have expanded in this area, recently.
• Some sort of WYSIWYG, drag-and-drop email editor, wouldn't hurt.
• Sometimes, when trying to implement advanced HTML coding to an email template, the code doesn't stick, save or format as "native HTML."

Incentivized

• Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
• More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
• City-specific data instead of just country-specific data would have been a huge plus as well.

Incentivized

It’s easy for not just experts, but anyone. Both of my VAs picked it up really quickly

Incentivized

I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.

Incentivized

Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.

Incentivized

Again, this is dependent on the use case. If you are a small- to medium-sized business that doesn't have a sales team, this is likely a great product for you. It is also a good price compared to larger enterprise software. Other software I have used worked better for other companies I worked for, but Drip fits best for my current company.

Incentivized

Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.

Incentivized

• Saves hours of typing redundant emails
• Helps with our retention based on the constant contact with our current clients
• Keeps our prospects up to date as we move through the stages of the sales cycle which also increases our capacity to handle more volume.

Incentivized

• Makes building real-time interfaces easy to do at scale with no backend involvement.
• Very low pricing for small companies and green-fields projects.
• Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.

Incentivized