As Avinash Kaushik pointed out in a recent blog post, while all web­sites are dif­fer­ent, most have one thing in com­mon — a con­ver­sion process.  Even if your web­site doesn’t sell any­thing, there are still often process steps that you want your cus­tomers to go through.  It may be a reg­is­tra­tion process, the open­ing of an account or sim­ply a lead gen­er­a­tion process.  Regard­less of its pur­pose, the end goal is to see how suc­cess­ful your web­site is at get­ting vis­i­tors to com­plete a series of pre-defined mile­stone steps (usu­ally defined as Site­Cat­a­lyst Suc­cess Events).  Many clients do this through nor­mal page-by-page pathing analy­sis, but this only gives you part of the pic­ture.  In this post I will pro­vide “the rest of the story” (RIP Paul Harvey!).

Why Pathing Is Not Enough
When you first start out using Site­Cat­a­lyst, it seems like there is noth­ing you can’t accom­plish with page-by-page pathing.  For exam­ple, let’s say you have a con­ver­sion process that includes the fol­low­ing steps:

  1. Get Cus­tomer Information
  2. Get Ship­ping Information
  3. Get Billing Information
  4. Show Order Thank You Page

Since each of these pages will have a unique page name, there is no rea­son why you can’t cre­ate a pathing fall-out report that includes these pages so you can see cus­tomer fall-out.  It might look some­thing like this:

You can mon­i­tor this over time and even add mul­ti­ple ver­sions of this report to a Site­Cat­a­lyst Dash­board so you can com­pare dif­fer­ent time peri­ods or coun­tries.  How­ever, pathing reports have one major down­side, they include all site traf­fic.  What if you wanted to see the same fall-out report above for vis­i­tors com­ing from Google Cam­paigns or only for first time vis­i­tors?  To do this, you have a few options:

  1. Use Omni­ture Dis­cover and apply the seg­ment you desire to the fall-out report
  2. Cre­ate ASI slots for the seg­ments you desire and cre­ate the fall-out report in the ASI slots
  3. Cre­ate a DataWare­house report and cal­cu­late the fall-out using a spreadsheet
  4. Merge together seg­ment and page data into a new Traf­fic Vari­able (sProp) and enable pathing (advanced)

While all of these will work, there is a much eas­ier way — uti­lize the Site­Cat­a­lyst Con­ver­sion Fun­nel report.

Con­ver­sion Fun­nel
So what is the Con­ver­sion Fun­nel?  You would be amazed how many long-time Site­Cat­a­lyst users have never found or used this report.  At its core, the Con­ver­sion Fun­nel report is a spe­cial report that allows you to add Suc­cess Events to a fun­nel and see high-level fall-out num­bers between each met­ric.  While it sounds like a pathing fall-out report, it is actu­ally very dif­fer­ent.  In a pathing report, in order for a path view to the sec­ond page in the flow to be counted, the page view has to take place after the first page the fall-out report and within the same visit.  Con­versely, a Con­ver­sion Fun­nel report does not care about vis­its and only reports raw met­rics (Suc­cess Events) that take place dur­ing the spec­i­fied report­ing time period and cal­cu­lates the dif­fer­ence between every two met­rics.  For exam­ple, in the fol­low­ing Con­ver­sion Fun­nel report, if the time frame is Feb­ru­ary 2009, then the report would be indi­cat­ing that, in Feb­ru­ary, the Cus­tomer Infor­ma­tion suc­cess event took place 328,998 times, the Billing Infor­ma­tion suc­cess event took place 126,559 times and there were 57,800 Orders (I kept the num­bers sim­i­lar to the pathing num­bers above for sim­plic­ity, but in real­ity these might not match exactly).  This doesn’t mean that the same vis­i­tors per­formed each of these Suc­cess Events in the same ses­sion, it just shows how many of these Suc­cess Events took place in the spec­i­fied time frame.

To get to a Con­ver­sion Fun­nel report, you sim­ply nav­i­gate to a set of met­rics, Pur­chase Met­rics (shown below), Shop­ping Cart Met­rics or Cus­tom Met­rics and click on the item that con­tains Con­ver­sion Funnel:

The truth is that it doesn’t really mat­ter which “Con­ver­sion Fun­nel” link you click on since you can add/remove met­rics as you wish, but the report will default to dif­fer­ent suc­cess event met­rics depend­ing upon which ver­sion you select.

Now that we are begin­ning to under­stand what Con­ver­sion Fun­nels are, why should we care?  The magic of Con­ver­sion Fun­nels lies in the abil­ity to fil­ter them by Con­ver­sion Vari­ables (eVars).  As men­tioned above, it can be a bit chal­leng­ing to view fall-out reports by Cam­paign, Visit Num­ber, City, Mar­ket­ing Chan­nel, etc… but Con­ver­sion Fun­nels come with a built-in abil­ity to fil­ter by any avail­able eVar:

Fil­ter­ing is sim­ply a way for you to tell Site­Cat­a­lyst to show you a dif­fer­ent view of the Con­ver­sion Fun­nel that only shows met­ric counts where the selected eVar con­tained the spec­i­fied value at the time the suc­cess event was set.  The best part of this fea­ture is that you can apply a fil­ter and the book­mark the report or add it to a dash­board and com­pare Con­ver­sion Fun­nels side-by-side.  For exam­ple, you can fil­ter a Con­ver­sion Fun­nel by Mar­ket­ing Chan­nel and see a Paid Search Con­ver­sion Fun­nel next to a Dis­play Ad Con­ver­sion Fun­nel in a dash­board.  Finally, Con­ver­sion Fun­nel reports also pro­vide a slew of con­ver­sion met­rics at the bot­tom of the report which can also be added to dashboards.

Impor­tant Things To Know About Con­ver­sion Fun­nels
The fol­low­ing are some impor­tant things to know about Con­ver­sion Funnels:

  1. You can use the Com­pare to Site fea­ture to see two dif­fer­ent report suite Con­ver­sion Fun­nels side-by-side or two dif­fer­ent date ranges side-by-side
  2. Cal­cu­lated Met­rics can­not be added to Con­ver­sion Fun­nel reports
  3. Con­ver­sion Vari­able (eVar) fil­ter­ing will only apply if the Con­ver­sion Vari­able (eVar) is set before or at the same time as the suc­cess events in the funnel

Have a ques­tion about any­thing related to Omni­ture Site­Cat­a­lyst?  Is there some­thing on your web­site that you would like to report on, but don’t know how?  Do you have any tips or best prac­tices you want to share?  If so, please leave a com­ment here or send me an e-mail at insidesitecatalyst@​omniture.​com and I will do my best to answer it right here on the blog so every­one can learn! (Don’t worry — I won’t use your name or com­pany name!).  If you are on Twit­ter, you can fol­low me at http://​twit​ter​.com/​O​m​n​i​_​man.

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  • http://www.aepconvert.com Michael Feiner

    Hi Adam,

    Great post.

    I find the fil­ter­ing fea­ture in the con­ver­sion fun­nels report extremely valu­able when com­bined with SAINT classifications.

    It could give a whole new dimen­sion to your analysis.

    Thanks,
    Michael

  • http://learn-n-optimize.blogspot.com/ Sushant Ajmani

    Hi Adam,

    Thanks for pro­vid­ing your per­spec­tive on this topic but, I am not com­pletely con­vinced with the value prop. Let me explain. When­ever I think about the term con­ver­sion fun­nel, it reminds me of Napolean Rus­sia Tour where, he started with mil­lions of sol­deirs and by the time he came back, he left with few thou­sands. At each stage of the war, he lost a great chunk.

    Now, if I apply the same anal­ogy to our con­ver­sion report, I don’t get the same pic­ture because, the 2 check­points that you are choos­ing for your con­ver­sion fun­nel are mutu­ally exclu­sive. For e.g. Prod­uct Views, Cart Open and Check­out Ini­ti­a­tion are not get­ting trig­gered at the same time. When you choose Prod­uct View fol­lowe by Cart Open, you expect the adjusted Cart Open num­ber depend­ing on the pre­vi­ous selected checkpoint.

    Now, take a typ­i­cal retailer site which recieves 30–35% of traf­fic from their repeat vis­i­tors, and a decent % of these vis­i­tors have a non-empty shop­ping cart which they aban­doned in their first visit. At the same time, their is a decent % of traf­fic on the site comes from Com­par­i­son Engines and Affil­i­ate Sites which takes the vis­i­tor directly to the Prod­uct Pages. I have always seen, a great dif­fer­ence between Prod­uct Views and Cart Open and if you are not intro­duc­ing the pathing com­po­nent in the fun­nel, you might be mis­lead­ing the audi­ence with an over­stated or an under­stated con­ver­sion num­ber because, every busi­ness is dif­fer­ent and espe­cially in this Web 2.0 world where, fea­tures like MIni Cart, Quick Lookup, Cross Sells and Prod­uct Find­ers reduces the Prod­uct View count in the spirit of faster check­out, you would find busi­ness scratch­ing their head.

    Please cor­rect me on my per­cep­tion because, I believe if their is no FALLOUT and ADJUSTED num­bers at the con­sec­u­tive check­points then, it’s not a con­ver­sion funnel.

    I will cover more on this on my blog i.e.

    http://​learn​-​n​-opti​mize​.blogspot​.com/

  • http://StubHub Liz Nakamoto

    Hey Adam,

    I just put a bunch of these reports into a dash­board for my mar­ket­ing chan­nel man­agers, and they are going to go bananas!! Per Michael’s post above, I used SAINT to clas­sify my cam­paign track­ing codes into chan­nels and it’s AWESOME.

    As always, thanks for the rockin’ blog–you and Ben G def­i­nitely rank on my list of top-10 rea­sons not to switch to Google Ana­lyt­ics :)
    Liz

  • Aaron

    Hi Adam, thanks for high­light­ing these reports how­ever, I can’t help but think the only real ben­e­fit of this report is to dis­play data in a dif­fer­ent for­mat than if you went to the indi­vid­ual Con­ver­sion Vari­able report itself.

    In your exam­ple, it seems to me like you would achieve just about the same infor­ma­tion by going to your Cam­paign Type report and adding in the suc­cess events “Cus­tomer Info”, “Billing Info”, “Orders” & “Rev­enue”. All that would be miss­ing is the % calculations.

    What I think would make this report really use­ful is if it did in fact take into account that the “Billing Info” event occurred after the “Cus­tomer Info” event.

    So it would effec­tively become a ver­sion of the Pathing Fall­out report but with fil­ter­ing options and be based on events rather than pages.

    Regards, Aaron