101–110 of 122 posts
I wanted to call this out: We solved the first problem through a separate tool, which labels the user with the originating source when registering. Yes, yes, yes, and yes. If you're spending any significant amount of money on advertising, you need to be doing this. Don't rely solely on third-party cookies and session unification attempts. If you have a USER table in your database/crm, add the five UTM fields to it! C…
In truth, you should be doing this and modeling the results via attribution for every source of traffic. What if the facebook audience bounced right away and converted via google two days later? Disclaimer: I'm working on an attribution modeling tool, attribution.io
Also, how do you handle view through and other harder to measure branding touch points? Do you integrate with things like DCM?
My beef with most non-enterprise solutions (which I'd classify yours as based on pricing) is they are very limited, and typically don't do much of anything beyond what is available for free in GA.
Fwiw I'm a senior digital media guy who goes deep on attribution. It is what keeps me up at night as we work on display,video and paid social. The fact that we have a longer sales cycle due to a free trial further complicates things.
Pardon me if this is off topic, I'm sure someone will let me know. I run an ad on Facebook for $25 for the weekend. We get somewhere between 2000-6000 "reaches". We get a fair share that like the post, I "invite" them to like the page, hardly any do... Is this normal?
There is an enormous difference between a user that is searching for keywords related to your product, and potential customers that probably aren't looking for your product that you have identified through Facebook targeting criteria. The Google user has a problem and is actively seeking a solution; the Facebook user fits what you believe is the demographic profile of someone that might be interested in your product.…
"The Google user has a problem and is actively seeking a solution; the Facebook user fits what you believe is the demographic profile of someone that might be interested in your product." That's all well and good, but at the end of the day I can Google "Maserati Dealer" and yet have nowhere near the income levels required to purchase one. "Traffic from Facebook ads is notoriously difficult to turn into cash precisely…
Agree with your general sentiment though, it's not necessarily a platform problem, the real problem may be expertise or a meh offer.
Pardon me if this is off topic, I'm sure someone will let me know. I run an ad on Facebook for $25 for the weekend. We get somewhere between 2000-6000 "reaches". We get a fair share that like the post, I "invite" them to like the page, hardly any do... Is this normal?
Pardon me if this is off topic, I'm sure someone will let me know. I run an ad on Facebook for $25 for the weekend. We get somewhere between 2000-6000 "reaches". We get a fair share that like the post, I "invite" them to like the page, hardly any do... Is this normal?
Liking the page would require effort from the user and most are reluctant to deviate from their current thought process. Most people are on facebook to scroll down their news feed and maybe like a post or 2. There is no motivation for them to go to your page and just 'like' it, unless you have content that appeals to them. People are bombarded with advertisement all day every day, they simply feel no obligation to he…
Earlier quoted context omitted.
In truth, you should be doing this and modeling the results via attribution for every source of traffic. What if the facebook audience bounced right away and converted via google two days later? Disclaimer: I'm working on an attribution modeling tool, attribution.io
Are you doing anything with dynamic/data driven models? Or do you just focus on the same static ones as GA plus your static content models? Also, how do you handle view through and other harder to measure branding touch points? Do you integrate with things like DCM? My beef with most non-enterprise solutions (which I'd classify yours as based on pricing) is they are very limited, and typically don't do much of anythi…
Is there a way to do TV attribution beyond multivariate statistical learning models attempting to gauge the impact on other channels based on broadcast period? (i.e. treat the offline channel as a categorical variable)
What is "dynamic" attribution modelling? Does this mean the attribution model changes depending on who you perceive the customer to be?
What is the best way to do multi-device tracking if you don't have a login?
Earlier quoted context omitted.
Our experience when trying this approach is 90% reply with 'lack of time' which is not the true reason but basically means the product didn't solve a major problem for them.
Not necessarily. I solved most "lack of time" issues by improving onboarding. People thought they didn't have the time because the setup steps seemed daunting or confusing, so they put them off indefinitely. Improving the "first login" experience, moving to a more walkthrough/wizard-based setup (only one thing to do on the screen at a time), and building more 3rd-party integrations that eliminated technical work allo…
So you are correct but all those things I just consider to be part of the product as a whole.