For this first example, I’d like to see if people who comment on my Facebook posts tend to buy my training online. The answer is yes ! Over the past 2 months, 523 people commented on a post on my Page and 10 of them ended up purchasing a course with a median completion time of 1.3 months. At least I tell myself that my publishing efforts are not totally wasted. What if I changed the interaction to “Message received”? I tend to get a lot of messages on my Page. Do I have a financial interest in answering it? If so, as quickly as possible? The answer is yes ! This funnel clearly shows me that messages I receive have better value than comments on posts.
Out of 354 messages received on my Page in the last 28 days, 17 people ended up buying one of my training courses with a median completion time of 5.5 hours, or a ratio of 5%. Not bad ! It is therefore in my best interest to respond quickly to Antigua and Barbuda Email List messages on my Page AND insert a Messenger chat into my training pages. This is what I did a long time ago. If I hadn’t done so, I could have measured the improvement in this conversion rate a month later … For these examples, I took an event where the volume is the lowest (the purchase).
What if I took a user’s activity on one of my sites?
As you can see in this graph, 64% of the people who left a reaction on one of my posts ended up going to one of my sites. We’re talking about 1,100 people over the past 28 days. I can also tell that the first 25% of people will be viewing a page within the next 10 minutes, and the median completion time is 1.7 days. Of course, all of this information makes sense if you compare it from month to month. You can even go further by refining the reactions between the simple “like” (blue thumb) and the “love” (heart). Let’s talk about e-commerce now. One of my favorite funnels to look at for e-merchants is this: Content view (product page)> Add to cart> Purchase.
What are the conversion rates? We also see that 58,000 people saw a product page, 11,000 of them added a product to the cart (conversion rate of 18.9%) and 2,690 ended up buying (conversion rate of 4.62%). All with a median completion time of 5.9 days! This therefore means that I must take the time to analyze my campaigns over a period of 6 to 7 days at least before making any optimizations. The real point of this analysis is to look for ways to improve these conversion rates from one stage of the funnel to another.
The real point of this analysis
How can I increase the number of people who add a product to the cart? As possible optimizations, we could imagine: Launch remarketing ads with a “conversions” objective to reach people who have seen a product page, but did not add to the cart, and show them an offer Improve copywriting of product pages Highlight the delivery and returns conditions Offer to subscribe to the Newsletter in exchange for a promo code Etc. The same question could arise for people who add a product to the cart. How can we increase the percentage of people who add a product to the cart and then buy it? Here are some ideas:.