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
@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.
@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.
@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.
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!
Roy
Roy
Roy
Sellfy