Showing posts with label Reporting. Show all posts
Showing posts with label Reporting. Show all posts

8.46% Open Rate, 2.86% Click Rate in Thailand Closed Community Fashion Sales

My previous post around email marketing in Thailand about Benchmark Email Marketing Fashion Industry Thailand revolved around the open rate providing a summarized data in line of weekly and hourly performance. It is very interesting to see some trends in terms of total email being sent against the open rate and click rate.

The graph below presents the scenario on the way total email influence click and open behavior of the email.
A very interesting insight that could be seen extracted from the graph below; both clicks and opens remains stable although the number of emails being sent are seen decreasing. It is one odd day where there were tons of clicks seen and on the similar day total unsubscribe trend is seen increasing. The trend continues in the similar pattern. And after 13 days it is seen increasing. Based on the chart below there are two action item the email marketing tea should start digging into.
1. Why the unsubscribe trend is seen increasing?
2. Type of promo served to the audience?
   


Based on the total unsubscribe trend increasing it is very important to do a quick check if there is a sudden increase in the bounce rate. The email being sent to the audience might not hit the mailbox if the headline and/or the content of the email are not balanced. The email system would consider it a spam and this could lead towards the email either being sent to spam box or it is bouncing off from the email delivery system responsible for dispatching image.

As a rule of thumb it is best approach to segment the audience mainly not seen opening the email. Segment these audience to deliver email either weekly and followed by monthly and later completely opt these audience out of the email list.

The above suggestion of segmentation would keep your email in the good books of email agent. Also, it will help you uplift the Opens and Clicks. A healthy click rate and open rate will keep you achieve better conversion.

Posted at at 9:35 AM on Friday, February 8, 2013 by Posted by Rabin Gupta | 0 comments   | Filed under:

Benchmark Email Marketing Fashion Industry Thailand

Online Commerce in Thailand is still crawling its baby step. Although the credit card penetration is increasing the interest of users in online sector can be outline as below: 

  • 38% of Thais are most interested in entertainment content
  • 12% online games
  • 10% blogs and web boards
  • 6.3% shopping
  • 6.1% news and information.
More detail about can be read at: Internet Usage and Online Shopping in Thailand

However, in a Fashion Industry where the Email Marketing plays a key role. Although in general Benchmark for Open Rate can be stipulated around 8% to 10% and Click rate around 3% to 5%, it is very interesting to see the Clicks and Open based on the day of the week.
Days Clicks Opens Clicks/Opens
Mon 10,367 49,760 20.83%
Tue 10,798 48,219 22.39%
Wed 10,602 46,910 22.60%
Thu 10,769 45,354 23.74%
Fri 10,015 44,462 22.52%
Sat 8,923 39,931 22.35%
Sun 9,291 40,091 23.17%

Although we would expect Sunday to be the best day in terms of Clicks and Opens as people would tend to check their email regularly but based on the above stat it looks to be move active during the weekdays as compared to the weekend. However, a very interesting phenomenon to be noted is the ration between the clicks and opens tends to be higher on Sunday. Neverthelss Thursday seems outperforming other days.

On the other hand if we are to consider the best time to dispatch the email in Thailand Fashion and Online Clothing industry, it would be around....  Any Guesstimates??:

Based on the sample data collected it looks the weight would fall 9:00 to 10:00 AM or even 16:00 to 17:00 PM. Indeed the ideal time for people to get ready for a work and an hour before they leave from work.

Hours Clicks Opens Clicks/Opens
00:00 - 01:00 303 1,320 22.95%
01:00 - 02:00 650 2,546 25.53%
02:00 - 03:00 7,461 35,917 20.77%
03:00 - 04:00 9,371 41,930 22.35%
04:00 - 05:00 7,668 35,103 21.84%
05:00 - 06:00 6,386 27,377 23.33%
06:00 - 07:00 4,947 21,275 23.25%
07:00 - 08:00 4,057 18,099 22.42%
08:00 - 09:00 3,700 16,502 22.42%
09:00 - 10:00 3,375 14,259 23.67%
10:00 - 11:00 3,034 12,954 23.42%
11:00 - 12:00 2,423 11,149 21.73%
12:00 - 13:00 2,196 9,853 22.29%
13:00 - 14:00 2,239 10,016 22.35%
14:00 - 15:00 2,456 10,750 22.85%
15:00 - 16:00 2,584 10,922 23.66%
16:00 - 17:00 2,505 10,470 23.93%
17:00 - 18:00 2,012 8,657 23.24%
18:00 - 19:00 1,392 6,340 21.96%
19:00 - 20:00 852 4,014 21.23%
20:00 - 21:00 470 2,201 21.35%
21:00 - 22:00 285 1,402 20.33%
22:00 - 23:00 190 836 22.73%
23:00 - 24:00 209 835 25.03%

Note: These above stats are indicative and should be meant for learning and experimentation purpose. It would highly depend on the type of product being made available online during the period of the study.

Posted at at 7:17 AM on Thursday, August 23, 2012 by Posted by Rabin Gupta | 0 comments   | Filed under:

Email Marketing in Fashion Industry Sample Report

In my earlier post in June 2011No Traffic Segmentation is a Crime Against Analysis the emphasis of data segmentation and a short overview on the things which are needed to consider was mentioned. Segmenting the data to view the performance of the site will always yield into new discovery. Having mentioned segmentation it is always necessary to consider the Email marketing channel. The segmentation is a must and it should always be always measured against its KPI. Every vertical should have a KPI, if the vertical is not measured against the KPI there must be something wrong with the vertical itself and it is worth completely deleting the vertical.

Email marketing is one of the most profitable vertical and a it should be measured against its KPI. The KPI for email could be:

  • Click Rate
  • Open Rate
  • Total Email Sent
  • Conversion Rate

It could be measured weekly and compared against prior week. The delta difference would give indicative number and percentage change would provide the measurement against the prior week.

It is also good to have other metrics summarized by weekday to analyze the result. The weekday summary would allow to target the sales on a weekday basis.

Please see below a sample weekly report:

Posted at at 11:22 AM on Friday, June 29, 2012 by Posted by Rabin Gupta | 0 comments   | Filed under:

No Traffic Segmentation is a Crime Against Analysis

What the traffic data being gathered for the website is not being segmented? The data being viewed without segmentation is like not considering the the purpose of the traffic.  Every business should consider segmenting there visitors. Having segmentation allows a proper view of the purpose of traffic.

Certain things to be considered while viewing the data:

  • Top level performance: An overview of the major KPIs , its performance over X weekdays, % change and probability for the upcoming weekday. A Graphical representation on the effect over the main KPI which would provide an immediate view over the performance.
  • Secondary level: Break the Traffic in different segments and major its KPI compared with last weekday.
  • Third level: Consider the top 5 negatives and top 5 positive and further break down the Secondary Level data.
  • Fourth Level: Consider the origin of the data and keep the track of top changes or new entry among top 10.
Having segmented data would allow visualizing performance and dedicating the performance which could have impacted the overall performance. Also, it could be essential to concentrate on certain segment which is positively impacting the performance.

Posted at at 10:09 AM on Thursday, June 9, 2011 by Posted by Rabin Gupta | 0 comments   | Filed under: ,

Google Adwords - Different Types of Reports and its Use

Google Adwords provides various kind of reports which are available under the dimensions Tab. These Reports are available under a drop down menu and are namely -

  • Day of the week
  • Day
  • Week
  • Month
  • Quarter
  • Year
  • Hour of day
  • Destination URL
  • Conversion Tracking purpose
  • Conversion Action Name
  • Demographic
  • Geographic (Formerly: Geographic Performance Report)
  • Search Terms (Formerly: Search Query Report)
  • Automatic Placements


All these above reports are self explanatory and provides tons of insights. The Hourly report could be an interesting report to see the breakdown of traffic per hour. While the Geographic reports provides an excellent insights about the locations where most of the searches are coming from. 

A real life scenario about the Language and Location targeting which could be improved by making use of geographic report. A language targeting Spanish in every location of the world could give surprises. There ain't only Spain as a Spanish speaking country but many more. Before we set a language targeting Spanish worldwide a deep though should be placed if the inventory is available to serve other Spanish speaking country else the traffic would rise not only from Spain but country like Argentina, Mexico etc. It might be worth filtering out those Country and targeting them separately.

Search Term report is another fantastic report which could help improve the performance of the campaign. The broad terms might be triggering some generic query which in-return is dragging down the click through rate. It might also trigger some query which is worth filtering or adding as negative. Also to improve the performance it could be best to add those as positive keywords and bid specifically if they are bringing conversion. In short it is a report like a coal mine where we can not only find coals but hidden diamond.

Overall there are various reports available and each one of these provides information which could be used to dig information as per need.

Posted at at 8:16 AM on Saturday, April 23, 2011 by Posted by Rabin Gupta | 0 comments   | Filed under: , ,

Advertiser Wishlist - Combination of Search Query Performance and Geographic Performance Report

A combination of Search Query Performance Report (SQR) and Geographic Performance Report could provide an insight about the type of queries which are being triggered in a Country/Territory, City and Regional view of Keywords triggering impression and clicks. This combined approach could then guide any advertiser to open a separate campaign and target specifically the region and type of keywords.

Unfortunately at the moment we do not get these kind of reports but rather a separate report to check the Search Query Report and Geographical Performance Report. The workaround could be separating the campaigns and targeting them separately but this is not enough to see granular view of query data. The hidden information on how many clicks each of these keywords are being triggered in each region could help advertiser not only target the campaign but also lead towards classifying the marketing 3Ps (Product, Price and Promotion) separately.

If the optimization of keywords are being done with the aid of SQR and we are not considering the origin of the clicks than removing a country/territory, city and region than we are making a biased decision and are rather cutting off keywords considering the entire campaign. This is true for those advertiser whose Campaign are targeting multiple country at a time. Thinking out of the box, one campaign per country targeting is essential but than this would lead towards a massive change over the account and campaign structure. Hopefully, these kinds of services are available in the future, hence my wish list for Search Query Performance (SQR) and Geo Performance Report would hit the top of my request.

Posted at at 10:30 AM on Saturday, November 20, 2010 by Posted by Rabin Gupta | 0 comments   | Filed under: , ,

Optimizing Campaign Using Geographic Performance Report

Geographic Performance Reports provides valuable information of the origin of clicks. There are various way optimization over the campaign can be done. Either by optimizing the keywords, adgroups or even by reviewing the CPC bid. These bid optimization could lead towards slashing down average position or reducing traffic by pausing keywords or Adgroups.This could be ideal traditional way of fine tuning campaign. But one vital source information is not considered by various advertiser when it comes to campaign optimization i.e. fine tuning Campaign with the aid of Geographical origin of Click.

Geographic Performance Report is one of the most efficient way of optimizing Campaign. This report provides the actual origin of the Clicks from Country, Region, Metro, and City. This report could be drilled down upto Adgroup level. This report is available in the Google Analytics but for those advertisers not opted into Google Analytics, Google Adwords Geographic Performance Report could be accessed from Client Report at MCC level and inside a Campaign at dimension tab. This report should be utilized efficiently to re-target the location.


For Instance -
An account in language English having various location target would result clicks and impression being generated from various location. It is wise to take a look at the Geographic Performance Report and optimize the campaign such that those Clicks origin from places which are not resulting into conversion  could be removed from the location targetting. These extra dollars spend could then be placed into those places where the campaign is driving conversion. 

Geographic Performance Report does not include the Average position and Quality Score it arguably should not be considered as the most important metrics while reviewing for Origin of Clicks to fine tune campaign. If there is enough clicks and impression present to make decision the average positions and quality score would not be vital as it is out of necessity to cut off those location which are not performing.
Note: If the data is compared from Geographic Performance Report vs Actual Campaign the stats would not be exactly the same. Please note that only placements with negligible number impressions (not clicks) per day may be excluded.

Posted at at 6:43 AM on Monday, November 15, 2010 by Posted by Rabin Gupta | 0 comments   | Filed under: ,

PPC Reporting: A quick information on Daily, Weekly, Monthly or Quartelry PPC reporting

Reports are vital for any kind of business either be offline or online. Various reports would have various needs and to carter these needs a daily, weekly or monthly reports could be considered vital. PPC reports are vital for every advertisers and these reports are a must. Some common report which needs to be prepared to measure the performance and also optimizing the campaigns. A guide over Daily, Weekly and Monthly report are discussed below.


Daily Report – A daily checks should be done over the budget and spend. A sanity check over the spending is a must so as to check there is no sudden spike over the spend. Other major KPIs should not be ignored like Avg. Pos, Clicks, Conversions etc.


Weekly Report – This would refer as Week-Over-Week comparison of factors which is best represented in graphical manner which is easy to understand. It would now depend on the size of advertiser to present the result in account, campaign, adgroup or keyword level. It is often wise to consider the offer message (AdCopy)n which brought resulted into conversion.

Monthly Report – The overall performance of PPC over the month with a comparative analysis over the last month and same year last month should be expected. It is best viewed in a trend chart and index view highlighting major KPIs and achievement over the target set.

Quarterly Report - These reports are the measurement of performance for which the KPIs were set. For instance if the KPIs were set over Gross Contribution it would be wise to do a comparative analysis over the quarter. Moreover a comparative analysis lat year vs this year over the percentage growth highlights could give a visibility over the yearly growth over the quarter result.  

The metrics to be reported would now depends on the KPIs and goal which would differ over business.

Posted at at 9:12 AM on Thursday, September 9, 2010 by Posted by Rabin Gupta | 0 comments   | Filed under: ,