Dripit.io

Measure marketing performance across your customer journey

12 followers

Measure marketing performance across your customer journey

12 followers

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Marketing automation platforms

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Business intelligence software

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Website analytics

Dripit.io is marketing performance analytics across customer joruney

Launch tags:Analytics•Marketing•Tech

Launch Team

Roy

At first glance looks superb - going to have a proper play. Does it indicate top performing assets as part of that customer journey?

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9yr ago

Maker

@samhaseltine Looking forward to your comments after playing with the tool! :) On a single journey, it is hard to indicate which solution/channel was the key. So we aggregate data and have three reports around this. First, it is about overall conversion assistance. Those are assets who have contributed a lot to converting journeys and we show where in a journey it is made. Second, we look, particularly at micro-conversion level (e.g. adding a product to cart or starting registration process). Which solutions are crucial to move visitors down the funnel. Third, we analyze reach and ability to acquire converting visitors.

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9yr ago

Roy

@so_on Thanks for the outline - how do you consider dynamic asset creative? (assuming the creative itself is algorithmically created, independently ). It's a really interesting approach - I am coming from the angle of onsite personalisation.

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9yr ago

Maker

@samhaseltine The important bit here would be ability to identify that bit by some kind of unique id. Let me give you an example. We have a client who has a blog and they want to know how that blog contributes to conversions. So they are sending an event dripit.track('blog', {'id': 'The great title'}) everytime someone reads particular blog. Based on this we report overall performance of a blog and also single articles. In your example, it is possible to apply the same logic. If a customer interacts with, let's say, "landing_promotion" and there are 3 versions. You could track its contribution to conversions by firing dripit.track('Landing_promo', {'id': 2}) everytime someone clicks on it. In a report, you could review whole Landing_promotion performance and also individual versions.

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9yr ago

Roy

@so_on Fantastic :)

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9yr ago

Maker

@samhaseltine We built the whole thing from ground up with this kind of things in mind :)

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9yr ago

Minke

Have been praying for a new attribution solution, nice work! How do you handle LTV calculations for a SaaS model? Webhooks or any plans for a Stripe integration?

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9yr ago

Maker

@josh_reyes HI, Josh! Good question regarding LTV. We don't calculate it our selves for now. But there are two things on our roadmap. First, integrations with payment gateways to track conversion and provide ROI estimate based on that. Second, we are working on API endpoint which would allow our customers to query past journeys when they have found high LTV users. For SaaS it doesn't happen right away.

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9yr ago

Minke

@so_on Awesome! I'll keep an eye out for your Stripe integration and jump on a trial then 🙌

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9yr ago

Sellfy

We use Dripit at Sellfy to analyze referrals and see what sources/influencers generate creatrs to sign up. They helped us understand what we need to focus on and how to make user onboarding better - recommend!

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9yr ago

Maker

@marisdagis Thanks, Maris! Pleasure working with you and the team!

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9yr ago

Maker

Hi, PH! Thank you for hunting us. At Dripit we have seen the struggle with smart marketing attribution algorithms and not that many solutions providing real insights. So we created a tool which does exactly that - track customer journey and how marketing impacts it. The goal is to answer three questions: - What drives converting traffic; - What generates new customers; - What are the best channels for branding/awareness campaigns. As we map full customer journey across multiple visits/days/visits, we know where in a journey each solution has made an impact. Now we are looking for your feedback! One more thing, we have prepared a special deal for you guys - 25% off of annual plans with code DRIPIT_LIKE_ITS_HOT. Ernest, CEO of Dripit

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9yr ago

Hi, nice looking product. I was wondering what you do that is not achievable in GA with goals + different attribution models. Thanks for any feedback, Josh

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9yr ago

Maker

@joshsummersblog Hi, Josh! This is typical questions we get! First of all, we track customer journeys across multiple visits and build funnel based on overall progress. Out of the box, GA measures goals on a session basis. You can set UserID but then you still would need goals and custom reports. We track progress in a funnel across multiple visits, days and have API to track across devices and systems (e.g. CRM) About attribution models. Rule based attribution models are flawed and don't tell the story about best acquisition channels and micro-converters. Then there is algorithmic attribution. We actually started out by implementing Shapley value (same statistical model used by Google 360 suite). We found out that users don't trust algorithms they don't understand. So we built tool which shows visually what is happening at what stage. And last but not least, we are focusing on marketing tracking and have growing list of integrations to track costs across journey.

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9yr ago

Looks like a great product, guys! Good job, it's not easy to analyse so much data across different platforms and have a combined picture of all marketing efforts.

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9yr ago

Maker

@jamwilly420 Thanks! Yes, it is not easy. So that might be the reason why there aren't that many solutions around this :)

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9yr ago

Would be cool to have a possibility to select metrics. e.g. percentage between engagement and purchase.

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9yr ago

Maker

@csaba_kissi Interesting point. For every channel, we show how well it has contributed to conversions and micro-conversions. We don't show explicitly which split between conversion/engagement/abandonment. If I have understood you correctly. Making a note on this one.

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9yr ago

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