Friday, September 29, 2017
Start measuring your TV ads with the precision of digital
Start measuring your TV ads with the precision of digital
Thats why the Nest marketing team turned to the Google Analytics 360 Suite while running a set of six TV ads last holiday season. The suites TV attribution features are designed to measure the impact of ads on search activity and website visits. As a result, Nest could see the channels and times of day where its ads had the most impact. The metrics arrive almost immediately, so the Nest team found itself spending less time trying to get answers and more time taking action on what they learned.
The good results that Nest is getting are available to anyone. Watch the video for more details.
Post by, Suzanne Mumford Head of Marketing, Google Analytics 360 Suite
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Thursday, September 28, 2017
They Float Through the Air With the Greatest of Ease
They Float Through the Air With the Greatest of Ease
This afternoon, after a quality nap, and some quiet time in the camper, we headed back to the welcome center at the Cape Hatteras KOA for the "tie dye extravaganza." We did this last year as well and the shirts made for great souvenirs that the boys still wear--so call it a new summer tradition. You could bring your own shirt or pay five bucks and buy one from the staff--they had a variety of sizes laid out on a table in the stage room next to the pool.
After we bought our shirts the summershiners (younger summer staffers) helped us bunch them up with rubber bands before we headed back outside to the buckets of dye. The boys took their color selections very seriously...
Of course, mommy did help...
Then, to celebrate our awesome new t-shirts, we decided to take one last swim before dinner and do a spontaneous aerial show...
After our cool dip we were all ravenously hungry. So we headed back to our site and Stephanie rocked out a delicious chicken caesar salad. Then we all gathered around and shared a nice meal and talked about the day...
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Finding Felons with the Find Command
Finding Felons with the Find Command
Digital devices are common place. Digital device examiners are not. How does the digital dutch boy prevent the digital device dam from breaking? By sticking his preview thumb into the leak.
The point of a forensic preview is to determine if the device you are examining has evidentiary value. If it does, the device goes into your normal work flow. If it does not, it gets set aside. The dam remains intact by relieving it of the pressure of non-evidentiary devices.
The point of this post is not to enter a discussion of the benefits and short comings of forensic previewing. I’m merely going to record a method I recently used to differentiate between the files created by the owner of a laptop computer and those generated by the thief who stole the computer. Hopefully, you see something useful here to adapt to your investigation.
The Plot
Police officers recovered a laptop from a home that they believed was stolen. One roommate said the device had arrived in the home a few days earlier, but did not know how it got there. The remaining members of the household claimed to know nothing about the computer at all.
I booted the device with a Linux boot disc designed for forensic examination. The disc allows storage devices to be examined without making changes. I was lucky enough to find a user account that had been established a few years earlier, and files in that account that allowed me to identify and contact the computer’s owner. The owner reported the device had been stolen from him two weeks earlier. The owner had password protected his account, but there was a guest account available for use.
Catching the Thief
I could have stopped there, but the job would have been only half-done. I knew who owned the computer, but I didn’t know who’d stolen it. Fingerprints were not an option, so I decided to look for data in the computer that might identify who had used the computer since it had been stolen. A quick look in the guest account showed me I was not going to be as lucky identifying the suspect as I had the victim: there were no user created documents.
What I need to do was to find the files modified by the suspect and inspect those files for identifying information. The suspect may not have purposely created files, but browsing the Internet, etc, creates cache and history files that point out a person as surely than a witness in a suspect lineup (that is to say, not with 100 percent certainty, but often reliable none-the-less).
File systems are very helpful in examinations of this nature: they keep dates and times that files are created, accessed and modified, just to name a few date attributes. Modern operating systems are very helpful, too, because they usually auto-sync the computer’s clock with NTP (Network Time Protocol) servers. Simply stated, modern operating systems keep accurate time automatically.
With this knowledge in mind, I was looking for guest account files (and, ultimately, all files) that were modified in in the past two weeks. Files modified outside that range were changed by the owner and of no interest. Fortunately, the find command provides a solution:
# This command returns all files modified less than 14 days ago
$ find path/to/search -mtime -14 -daystart
Note | The -daystart option causes find to measure times from the start of the day rather than the last 24 hours. |
The -mtime n option takes integer argument n. This is where a little explanation is in order. Had I passed the integer "14", I would have only returned files modified 14 days ago. Passing "-14" returns all files modified less than 14 days ago. Passing "+14" would cause find to return all files modified more that 14 days ago. It is possible to pass two -mtime options to create a narrow range, such as:
# This command returns all files modified between 7 and 14 days ago
$ find path/to/search -mtime -14 -mtime +7
The command in the first example resulted in just over 1600 file names being returned. I saw that most of these were Google Chrome browser application data files. Both the "History" and "Login Data" SQLite databases contained data leading to the identity of the computer user since the date the laptop was stolen (a roommate) and the dates of the activity suggested the computer had been in that person’s possession since shortly after the theft.
Telling Time
The date command can really be your friend in figuring out dates and date ranges. It is easier to demonstrate than explain:
$ date
Mon Feb 23 12:41:41 PST 2015
$ date -d now
Mon Feb 23 12:41:50 PST 2015
Note | The two commands above do the same thing. |
$ date -d yesterday
Sun Feb 22 12:43:42 PST 2015
$ date -d tomorrow
Tue Feb 24 12:43:49 PST 2015
Note | The date command understands simple english. Used thusly, it calculates based on 24 hour periods, not from the start of the day. |
$ date -d 1 day ago
Sun Feb 22 12:48:57 PST 2015
$ date -d 1 year ago
Sun Feb 23 12:49:14 PST 2014
$ date -d next week
Mon Mar 2 12:49:53 PST 2015
Note: The info date command will show you many, many more useful invocations of the date command.
Determining Elapsed Days
You may recall that the find command takes an integer for its date range options, but none of the date commands I illustrated above yielded and integer show the number of days elapsed or until that date. If there is an option for date to yield such information, I have not discovered it. However, a simple shell script can be created to allow us to use the "plain language" of the date command to help us determine the integers required by find.
# This is a simple script that does not test user input for correctness
# usage: count_days.sh date1 date2
# collect dates from command line and covert to epoch
first_date=$(date -d "$1" +%s)
secnd_date=$(date -d "$2" +%s)
# calculate the difference between the dates, in seconds
difference=$((secnd_date - first_date))
# calculate and print the number of days (86400 seconds per day)
echo $((difference / 86400))
Note | This script can be made executable with chmod +x count_days.sh or simply executed by calling it with bash: bash count_days.sh |
Now, we can figure out the number of days elapsed using the same plain language conventions accepted by the date command. Be sure to enclose each date in parenthesis if the date string is more than one word.
# How many days have elapsed since January 10
$ bash count_days.sh "jan 10" "now"
44
# How many days elapsed between two dates
$ bash count_days.sh "nov 27 2013" "Aug 5 2014"
250
# How many days will elapse between yesterday and 3 weeks from now
$ bash count_days.sh "yesterday" "3 weeks"
22
You get the idea. And I hope I’ve given you some ideas on how to use the find and date commands to your advantage in a preview or other forensic examination.
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Wednesday, September 27, 2017
Download Alcatel One Touch Pop 7 7041D Firmware With Flash tool
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Tuesday, September 26, 2017
Finding suitable problems with MySQL MariaDB to focus on
Finding suitable problems with MySQL MariaDB to focus on
My last blog post ended with me having just set up a rudimentary VM environment and hoping to turn it into a viable automatic system run with scripts. However, before I get ahead of myself I should first look into what the actual requirements of the problem subject are. Also in the last post I chose MySQL as the target service for my assignment. I should try to find actual reported problems to do with MySQL and note their causes, solutions and prerequisites if any.
MySQL is a software project with a somewhat unusual history. Started back in the 90s in Sweden, MySQL became a Free Software project under the GPL licence in 2000 and steadily gained popularity the following years. In 2008 it was acquired by Sun Microsystems, a large software corporation, and then again acquired in 2010 by Oracle, an even larger software corporation, which caused its userbase and its founder/maintainer some misgivings. Thus MariaDB was born, a fork of MySQL and intended to work as free software drop-in replacement for it. MariaDB has been gaining quite a following, often at the expense of MySQL, and is intentionally similar to MySQL. Because of this I will include it in my search alongside MySQL.
Seeing as this assignment is meant to be limited in scope only problems with the databases themselves will be considered. Covering problems with applications and services that interface or use the databases would introduce too many new variables and possibilities to research and test. Likewise, bugs in the database software itself shall also be filtered out - we want to collect problems that an average system administrator can fix by way of corrected configuration, not by recompiling source code. This may actually pose a problem for this assignment - it is logical to assume that most practical problems users come upon are tightly coupled with the specific domain and surrounding applications - not only the databases. This potential problem will be dealt with when/if it occurs.
The first place that came to mind when thinking of sites where users report problems and (hopefully) get help is the official forum. The MySQL forum was to be the first I visit:
- New Installation and root cannot login with or without password
- Using passwordless option file with mysql client
- Cant increase max_allowed_packet
The MySQL official documentation has a section dedicated to common problems. There is useful information on a number of relevant problems:
- Problems with File Permissions
- Out of memory
- Cant create/write to file
Having combed the official sources of information for common problems that fit my criteria I turned to one more potential source, one that had me feeling a bit more hopeful going in: Server Fault. Using its tagging system one can easily browse only questions tagged mysql and/or only questions that are voted as high quality.
- MySQL [Warning] IP address could not be resolved
- MySQL connection works with localhost but not with 127.0.0.1
- InnoDB: Error: log file ./ib_logfile0 is of different size
- `mysql_upgrade` is failing with no real reason given
- New Installation and root cannot login with or without password:
- Prereq. : Newly installed MySQL 5.7 on a Fedora 25 machine.
- Cause: Root password is not supplied to MySQL client but also not known by user
- Solution: Running "grep temporary password /var/log/mysqld.log" returns the temporary root password with which the user can log in.
- Using passwordless option file with mysql client
- Prereq. : Not mentioned. Presumably works with any reasonably recent MySQL version.
- Cause: User has tried to specify two passwords in a single config file. This is not supported and also not recommended for security reasons,but that is beside the point.
- Solution: Using "mysql_config_editor" to set up login_paths which will create an encrypted file with the credentials, then running "mysql --login-path=<login_path>"
- Cant increase max_allowed_packet
- Prereq. : MySQL 5.1.73
- Cause: User is using packets of size greater than 1024MebiBytes. After setting the max_allowed_packet option to 1500MebiBytes the problem persists.
- Solution: Within MySQL there is a hard upper limit for max_allowed_packet of 1024MebiBytes. A higher value is not possible and the program will not even acknowledge the setting. Informing the user of this limitation is the best resolution of this issue.
- Problems with File Permissions
- Prereq. : MySQL 5.7
- Cause: The UMASK or UMASK_DIR environment variable is set incorrectly.
- Solution: For MySQL the default UMASK and UMASK_DIR values are 0640 and 0750. Setting them to these values before starting the MySQL daemon should fix the problem.
- Out of memory
- Prereq. : MySQL 5.7
- Cause: There is not enough memory to store the entire query result.
- Solution: Not definitive. Providing the program with more memory should fix the problem.
- Cant create/write to file
- Prereq. : MySQL 5.7
- Cause: MySQL cannot create a temporary file for the result set in the temporary directory because it does not exist or i doesnt have enough free space or MySQL hasnt got the required permissions.
- Solution: Starting the MySQL daemon with the "--tmpdir" option and making sure the daemon has the needed permissions or that directory.
- MySQL [Warning] IP address could not be resolved
- Prereq. : MySQL5.6.3 on a CentOS 6.1
- Cause: MySQL daemon is using DNS to resolve IP address when it should not.
- Solution: Adding skip-host-cache and skip-name-resolve to the MySQL daemon config file.
- MySQL connection works with localhost but not with 127.0.0.1
- Prereq. : MySQL 5.5.37 on Debian Wheezy.
- Cause: "hosts.deny" and "hosts.allow" files by default have a file mode of 600. MySQL cannot access them to determine whether to allow connections.
- Solution: Change the modes of "hosts.deny" and "hosts.allow" to 644.
- InnoDB: Error: log file ./ib_logfile0 is of different size
- Prereq : MySQL converted to use the InnoDB engine (its default engine).
- Cause: InnoDB is very picky about its config and log files.
- Solution: Delete both "ib_logfile0" and "ib_logfile1" in /var/lib/mysql
- `mysql_upgrade` is failing with no real reason given
- Prereq. : Upgrading from MySQL 5.1 to 5.5
- Cause: Many, but one specific is "user didnt pass username and password"
- Solution: Pass username and password correctly "mysql_upgrade -u root -p"
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Update Xiaomi Mi 3 W Mi 4 with Android Nougat via CyanogenMod official CM 14 1
Update Xiaomi Mi 3 W Mi 4 with Android Nougat via CyanogenMod official CM 14 1

CyanogenMod CM 14.1 brings night mode for reading, multi-window options, bundled notification, improved battery optimisation, performance tweaks, also CM themes, exclusive multi-utility apps, shortcuts and numerous other value-added features to enhance users experience.
Prerequisites:
- This new CyanogenMod [official] Android 7.1 Nougat CM 14.1 custom ROM has to be installed on the Qualcomm Snapdragon 801/800-powered Xiaomi Mi 4/Mi 3W models only; if tried on other devices, it might get bricked [To check your device model: Go to Settings >> About phone >> model number]
- Make sure the device is rooted before going forward for custom ROM installation
- Make sure to back all the data by installing TWRP in the smartphone.
- Make sure to install USB drivers on the PC.
- Make sure the device has more than 80 percent battery.
- If you face force close, go to Settings >> Setupwizard >> Give permission
- Though installing custom ROM improve the devices performance and UI experiences, it makes the company warranty void and they will no longer be liable to provide updates in future [users can restore warranty by flashing the device with stock-ROM].
Step-by-step installation guide of CyanogenMod [official] Android 7.1 Nougat CM 14.1 custom ROM on Xiaomi Mi 4/Mi 3W
Step 1: Downloading CyanogenMod [official] Android 7.1 Nougat CM 14.1 custom ROM HERE and Google Apps HERE in to the PC, connect Xiaomi Mi 4/Mi 3W to the computer via USB cordStep 3: Place Android Nougat zip file and Google Apps into the phones SD card memory. [Note: Users are advised to paste the .zip file in SD card root, not in any other folder.]
[Note: Before installing the custom software, be sure that the device must have been rooted and has installed ClockworkMod Recovery tool.]
Step 4: Turn off the device and disconnect from the PC.
Step 5: Perform the regular Recovery Mode sortie by press holding Volume (up)and Power buttons.
Step 6: After entering the RECOVERY mode, clear the phone memory, by choosing wipe data/factory reset option.
[Note: use Volume keys to navigate and Power button to select options, while operating under Recovery Mode]
Step 7: Clear the cache memory by selecting wipe cache partition
Step 8: Come back to ClockworkMod recovery, and select advanced and tap wipe dalvik cache
[Note: This step is optional, but many recommend this procedure so that user will not face boot loops or any other errors in the middle of custom ROM installation]
Step 9: Return to main recovery screen and then tap install zip from SD card
Step 10: Tap choose zip from sdcard and go to Android 7.1 Nougat ROM .zip file in SD card and enter the installation process. Repeat the same procedure to install Google Apps
[Note: use Volume keys to navigate and Power button to select options]
Step 11: Once done with the installation process, navigate to +++++Go Back+++++ and re-start the device by opting reboot system now seen in the recovery menu.
Now, your device (Xiaomi Mi 3W/ Mi 4W) will take at a few minutes to complete the booting process.
Users then head to Settings >> select About phone to confirm the installation of CyanogenMod [official] Android 7.0 Nougat CM 14.1 custom ROM.
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Falling in Love With Measurement
Falling in Love With Measurement
Why arent more marketers measuring their campaigns?
Which is a shame, because these two are perfect for each other.
Connecting the dots
Consumers often have dozens or even hundreds of digital interactions before they buy something today. The sheer amount of data created is staggering. There are more than enough dots to be connected for full visibility into the customer journey.But, as much data as marketers collect today, the truth is many still struggle to make sense of it all. In some companies, you could say Marketing and Measurement find themselves sitting at opposite ends of the couch.

Marketing and Measurement should get cozier sooner: at the front-end of the campaign process, while developing strategy. Yet, too many marketers said they think about measurement while building materials and assets (nearly 16%), after the campaign has deployed (9%), or even after the campaign has finished (nearly 6%). What�s more, 16% of the survey respondents said they don�t measure their campaigns at all.2

- Are we measuring the consumer interactions that really matter?
- How quickly can we spot the key insights hidden in this data?
- How do we turn those insights into better customer experiences?
When we close the gap between Measurement and Marketing, we can not only answer the question �How are we doing?� but also the more important question, �How can we do better?�
Going steady
It doesnt have to be complicated. When Marketing and Measurement go hand-in-hand throughout the customer journey, it can lead to more useful insights, higher revenues, and better experiences for everybody.As Matt Lawson, Googles Managing Director of Ads Marketing, says, �Measurement isn�t what happens at the end; it�s where the smarter and more successful future begins.�3
1-2Source: Google Surveys, "Measurement in Campaign Timeline", Base: 1,092 marketing executives, U.S., August 2016.
3Harvard Business Review, �Rethink Measurement From the Ground Up,� sponsor content from Google Analytics 360 Suite, August 2016.
Posted by Karen Budell, Content Marketing Manager, Google Analytics 360 Suite
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Monday, September 25, 2017
Using Google Analytics with Leadfeeder for B2B Lead Generation
Using Google Analytics with Leadfeeder for B2B Lead Generation
For most B2B firms, the main purpose of their website is to generate sales leads by getting visitors to fill in some kind of contact form. But many see that just a fraction of visitors leave their contact information, and as a result, salespeople don�t get enough good quality leads from their website. So what can be done to improve this situation?
This guide will show you the 3 best ways to generate leads with Google Analytics:
1. Using Google Analytics Network report
2. Using a custom Google Analytics report template tool
3. Using Google Analytics with Leadfeeder for lead generation
One way to gain more leads from your website is identifying companies that visit, based on their IP address. With this data, you can have some information about the 98% of visitors that don�t explicitly contact you. When people visit a website using their office network, marketers can identify that someone from a certain company has visited and pinpoint what they have done there. For B2B outbound sales teams, this information can be very valuable.
If you see a company visiting your website, there�s a high probability that they�re in need of- and evaluating your product, which is the perfect time to get in touch with them.
Based on the IP address alone, it�s impossible to know exactly the name of the visitor, but in many cases this information is not needed. For example, if you sell email marketing tools and a company comes to your website and browses product pages, it�s a strong signal they are looking for a new email marketing tool. When you contact them, you want to contact the person who�s responsible for digital marketing, regardless of who visited your website.
For effective lead generation purposes, you should be able to identify real companies that have visited your website and see how they have behaved, to evaluate if they are a good lead.
1. Using Google Analytics Network Report
Using the Network report is the most common way to see which companies have been visiting your website. There have been many blog posts about this topic, for example this LunaMetrics post by Dan Wilkerson from 2012, this how-to article from Anna Lewis and a post by Traian Neacsu on uncovering hidden leads.
But these posts are all now a couple of years old and the Google Analytics interface has changed quite a lot since then. These days (2016) you can find the Network report in Google Analytics under Audience > Technology > Network.

Network report in Google Analytics
In the Network report (seen above) you will see a list of �Service Providers�. What Google Analytics means by �Service Provider� is the network where the visitor has been when they visited your website. Networks are always owned and registered by someone; typically a company, Internet Service Provider or some other organization.
One challenge in using the Network report is that many times the IP is registered by an Internet Service Provider (ISP) or some other non-interesting organization. In order to see the real companies, you should filter out ISPs from the list. The easiest way of doing this is to use the advanced search button and select to exclude Service Providers that match the following RegExp (just copy/paste this to the filter):
(not set|customer|internet|broadband|isp|cable com|network|tele|dsl|subscriber|pool|telecom|cable|addresses|telefonica|routed|leased line|communication|comcast|verizon|road runner|service provider|unknown|provider|t-mobile|wifi|telkom|sprint|at-t|residential|province|vodafone|clients|china|dial-up|netblock|wimax|wireless|elisa|sonera|dna oy|at&t|assigned|sl-cgn|block|consumers|kpn|telia|bredband|google|hosting|zscaler|city of|tdc|hubspot)
Now the list of visiting companies should look a lot cleaner. If you wish to filter the results even further, e.g. only companies from a specific country, you should create a segment out of visitors from that country and look at the report again.
By default for each company in the list you can see how many sessions they have had during the selected time interval, how many pages they have visited and other metrics. When you click on one company, you can get to a more detailed report, like this one below.
In this view, select �Page Title� or �Page� as secondary dimension to know which pages the company has visited. This way you know what they have done on your website and what they were interested in. If they were visiting relevant product pages or they spent a lot to time on your site but didn�t contact you, maybe it�s a good lead for your outbound sales team to contact.

Using Network report to see what company did on the website
If you would really like to know what each company and their employees have done on your website, you can go to the brand new User Explorer report under the Audience section in Google Analytics. This report was introduced in Google Analytics in April 2016 and in the report you can dive into individual visitors and their behavior.
To know what a company did on your website, just create a segment where the Service Provider matches the company you are interested in (see below).

By doing this Google Analytics shows you Client IDs (anonymous and unique IDs of each visitor) from that company and by clicking one client ID (one user) you can see all the behavior of that user on your website. This way you can have a good understanding about what any given person from one specific company did on your website. Pretty powerful stuff, as you can see below.

Using User Explorer to see visits of one user
2. Using a custom Google Analytics report template tool
At Leadfeeder we created a ready-to-use Google Analytics custom report that anyone can take into use for free. Just click the link below and attach it as a custom report to the Google Analytics View you typically use:
https://analytics.google.com/analytics/web/template?uid=zAQeJwWfT0yxlk8wfPWaGA
When you click this link, you will be directed to Google Analytics and asked which view you want to attach it to. Remember that by default this custom report will be visible only for you. If other users want to use this report, they should also click the Add to Dashboard link above.

B2B Lead generation report by Leadfeeder
Our custom tool by default shows the most interested companies that have visited your website. To be more precise, this is a list of companies after ISP filtering (using the filter pasted above) sorted by pages / session, with the most interesting visits on top.
Typically companies that have spent a lot of time and loaded many pages are more interested than companies with many short visits. Once you click an interesting company, you can see a list of days on which they have visited. When you click even further into a specific date, you can see a breakdown of all the pages they visited. If page titles are not descriptive enough or not set, you can use �Page� as a secondary dimension to see page URLs (as shows below).

Using B2B Lead generation report by Leadfeeder
In the tool you can see several tabs that you can use (see above). The most interested companies tab is selected by default, but you can also select the second tab � companies with most visitors � that shows companies that have most visits on your website. Many times here you can find ISPs that were not filtered out along with other non-interesting companies. If you like, you can drill into details in the same way as in the first tab.
The 3rd and 4th tabs in the report are selectors that you can use to filter data. For example, if you are only interested in German companies, go to �Selector: Visitor location� tab and select Germany. After that click to the first tab to see the most interested companies from Germany. If you have a sales representative located in Germany searching for German leads, you can automatically have Google Analytics send this lead list by daily or weekly email.

Similarly, if your sales team�s responsibilities are divided by product, then sales reps might only be interested in leads that have visited certain product pages. Go to �Selector: Visited page� tab and select the product page each sales rep is interested in. Again, after making the selection, go to the first tab to see the list of the most interested companies visiting that product page and automate lead reports to your sales rep�s mailbox. You can also combine these selectors to create a list of companies from a specific country that have visited a specific product page.
3. Using Google Analytics with Leadfeeder for lead generation
Using the Google Analytics user interface for lead generation is possible as you can see, but not very salesperson-friendly.
In order to better generate leads from your website for your sales department and do much much more, we created an online tool called Leadfeeder. Since Google Analytics is already collecting all the data about your website visitors, Leadfeeder fetches this data from Google Analytics API and does all the data crunching for you.

Once you sign up to Leadfeeder, it fetches all visitor data from your Google Analytics for the past 30 days. You don�t need to install any codes or script on your website; all you need to do is permit Leadfeeder to access your Google Analytics.
The web app filters out ISPs (a lot more than the Google Analytics filters shown in this post) handing you a clean list of companies. Once you see an interesting company and click on it, you see visit-by-visit, page-by-page what they have done on your website (as shown below). Leads are also enriched with additional company information such as company branch and size. With all this information it�s easier to determine whether the lead is interesting and whether they should be contacted.

Not all website visitors are interesting, so you can use custom feeds to filter out bounces and view only companies that have behaved in a way you find interesting. For example, you can define a custom feed rule to only show companies from a certain country, from a specific industry, companies that have visited a set number of pages and have visited a specific page but haven�t contacted you.
Using this kind of custom feed you can get a much more relevant list of leads for your sales team. In many companies sales responsibilities are divided by region or product so it�s good practice to make custom feeds for individual sales reps for only their areas of responsibility. Salespeople can subscribe to their personal custom feed to get daily or weekly email notifications about new companies that visit their website and match the set criteria. Understanding the online behaviour of your website visitors combined with knowing the location of the company visit gives sales reps powerful weapons for successful follow-up.

Seeing a qualified list of interested companies is already powerful, but this sales intelligence should fit within your existing sales process to be really useful. We know it�s the dream of many sales reps to have good leads magically appear in their CRM without the need to do anything, so that�s why at Leadfeeder we have built integrations to sync visitor data with your CRM.
The integration to Pipedrive and WebCRM are made two-way, which means that in Leadfeeder you can see CRM data for the visiting company, while in your CRM you can see all the website visits the company has made, once it�s been connected.
This makes it easier for sales reps to distinguish between new and old clients in Leadfeeder, create accounts and opportunities in their CRM with one click from Leadfeeder, and see in their CRM how prospects are interacting with their website.

If you are not using a CRM at all, leads can also be sent to sales reps by email or you can assign leads for them to see inside Leadfeeder. It�s good practice to invite the whole sales team to use Leadfeeder with their own user profiles and it�s free to add users.
In addition, if you are using Mailchimp for email marketing, you can connect it to Leadfeeder to see in Leadfeeder what individuals do on your website when they click through from one of your MailChimp campaigns. This is possible because Mailchimp tags links uniquely for all recipients and Leadfeeder can transform these unique links into email addresses. This way you can know exactly who the visitor was on your website.
Leadfeeder offers a free 30-day trial with no credit card required, so if you are in B2B business and would like to get more sales leads, go and sign up at www.leadfeeder.com.
Conclusions
Web analytics has made marketing a lot more intelligent during the last 10 years, but similar development hasn�t transferred to sales.
Web analytics has enabled email tools to evolve into marketing automation by tracking what email clickers do on your website and triggering follow-up emails. Display marketing, similarly, has evolved into very efficient remarketing, where ads are shown to those who have completed action on your website.
In short, there are a lot of digital signals potential customers are giving all the time, but those haven�t been utilized well in sales so far. Many sales reps come to work, open their CRM and start calling through a lead list someone has given them. Meanwhile there are lots of potential customers browsing their website but sales reps aren�t aware of who they are. Our aim at Leadfeeder is to make sales more intelligent by providing salespeople actionable web analytics intelligence about potential customers, thereby making sales more effective.
Posted by Pekka Koskinen, Google Analytics Certified Partner
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Sunday, September 24, 2017
The Leaves are on the Trees and the Cover is off the Camper Season 3 with the Lively Little Campers
The Leaves are on the Trees and the Cover is off the Camper Season 3 with the Lively Little Campers
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| Season Opener: Blue Ridge Mountains, North Carolina |

At some point this February, my husband set off to retrieve the family camper from South Jersey. We had (once again) dropped the pop-up off for some repairs at the dealership, where it proceeded to stay for the better part of two months awaiting parts and pieces.
At last everything was right as rain and while Jeremy went to pick it up, I did boring weekend chores like grocery shopping and banking.
Well. We just happened to pull back into our driveway at the same time Jeremy was pulling up with the camper. The squeals of delight that erupted from the backseat shocked me because, quite frankly, it is just a pop-up and did we really miss seeing the hulking beast in our driveway all winter? Apparently so. I played along, expressing utter glee (Hip Hip Hooray! The camper is back!) as I ushered the boys into the house.
Do you see the punchline of this story coming? I certainly didnt.
Here is the thing I discovered as I watched an enormous multiples meltdown shatter the peace of our Saturday morning: the boys were not excited that the camper was back. They were excited because they thought we were going camping. Right then. In February.
You try explaining weather and seasons and months and all that waiting nonsense to two and a half year-olds. See how that goes for you. I told them it was too cold for camping. They started to furiously pull out hats and gloves from the closet and insisted that they were not cold. Here all of my propaganda about it never being too cold to play outside came back to bite me big time.
I eventually took them outside and pointed to the trees in our backyard. I told them that we couldnt go camping until the leaves had grown back on the trees. They had to be very patient and watchful boys, keeping an eye on the trees. I dont know why this worked, but it did. Theo in particular spent the next week giving me the daily update on the leaf situation. Eventually, the boys moved on and I heard not a peep about the camper through the whole month of March.
So I was pretty excited to tell them last week that we were finally going camping:
Guess what, I asked in that goofy drawn-out singsong mommy voice.
What, they replied, thinking they might be getting something with sugar in it.
We get to go camping this weekend! Isnt that exciting?
No we not, says my master of the universe toddler.
What do you mean, honey? Yes, we are going camping. This weekend. We leave in two days.
Mommy, we cant go camping. The leaves arent on the trees.
This argument continued as we packed, loaded up, and set off on our journey to North Carolina. Somewhere in Virginia I triumphantly turned to Theo and said, Look! See all those leaves on the trees. I told you there would be leaves.
To which he replied disdainfully, No Mama--those arent trees; those are bushes.
Welcome to our third season with the
Just remember to bring them back home with you.
Happy Camping.
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Google Optimize and Surveys 360 Join Forces with AdWords
Google Optimize and Surveys 360 Join Forces with AdWords
Meet two new ways to understand and better serve your customers
Optimize is an A/B testing and personalization tool that makes it easy to see which changes to your web pages work best for your users and your business. Surveys 360 is a market research tool that helps enterprises gather fast, reliable insights from real people online and on mobile.
Why the new integrations? To make it easier than ever to understand and better serve your potential customers. Heres some detail on both.
Better landing pages, better results
The new integration between Optimize and AdWords makes it easier than ever to take the next step: to improve and personalize the landing pages those ads lead to. The integration gives marketers a fast way to create and test custom landing pages based on the keyword, ad group, or campaign associated with an ad � with no need to deal with destination URLs or messy query parameters.
Its worth it. 90% of organizations that invest in personalized consumer experiences agree that they contribute significantly to more business profitability. 1
Suppose a hotel wants to improve its landing page for the keyword family friendly hotels. Using Optimize, the hotel can create and test a new variation of the landing page, one that features an image of a family enjoying themselves at the hotel pool, instead of a generic image of the hotel exterior. If the new page leads to more reservations, theyve got a win. Then its easy to keep testing headlines and images that might also do well.

The AdWords integration will be available for both Optimize and Optimize 360 and will be available to start using in the coming weeks. If you haven�t tried Optimize, you can get started for free here.
Why not ask your customers?
Now, what if you could combine that kind of speedy real-world feedback with the wealth of data that you already have in AdWords? Then you could understand both what users do and why they do it.
Thats what were announcing today: remarketing lists published in AdWords are now available in Surveys 360 for surveys targeting. That means you can survey the users on your remarketing lists to find out what worked best for them (or didnt).
Want to know why shoppers abandoned their shopping carts? Ask them! Curious about how many customers converted due to your new free shipping offer? Ask them!

Easily target your survey to remarketing audiences published in AdWords.
Then change your marketing message on the spot to match what you learn. If your survey shows that the words "family friendly" are what brought customers to your hotel, you can build new ad groups to take advantage of this information. (You might even use Optimize to test new landing pages with that phrase!)
Heres an early report from the online shopping site Jet:
"Google Product Listing Ads (PLAs) have been an effective way for Jet.com to drive website traffic, but we needed to optimize for conversions. Surveys 360 connected us directly to our customers through remarketing audiences to determine which factors influence their purchase decisions most. The results were clear: customers care most about free, fast shipping and our free returns. We used this insight to revise our messaging in PLAs and across Jet.com which quickly improved performance."
�Ben Babcock, Director of UX Research at Jet.com
Getting started is easy: Just log into your Surveys 360 account with the same credentials used for your AdWords account. When you select "remarketing audience" for survey targeting, your AdWords remarketing lists will be automatically pulled into Surveys 360 and ready for use. Learn more.
All together now
1Econsultancy and Google, Marketing and Measurement Survey, March 2017
Posted by Michael Cumberbatch, Product Manager, Surveys 360 and Rotimi Iziduh, Product Manager, Optimize
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