Posts Tagged: PPC


28
Oct 11

Understanding Google’s New Search Default Restrictions

Google has found a way to start tightening the rope around search, and more specifically, SEO. According to Brad Reynolds, CEO at Mongoose, “Google is changing the face of web analytics by encrypting search results.” As a result of this change, anyone who logs into their Google account (i.e. Google+, Gmail) and then conducts a search via Google will no longer have referrer data sent along with it. That referrer data reveals what search terms were used in order to find a particular business or website. Paid ads, however, will not be affected by this change.

Who does this impact?

In a blog post, Google says less than 10% of searches will be affected by this change. Additionally, in a Search Engine Land Article, Matt Cutts a Google Software Engineer estimates the affected traffic to be 1-2% of search volume.  Aggregate query data will continue to be available and include visits from users who are not signed into a Google account. This change only concerns organic search results while the user is logged into a Google account. It does not impact direct traffic, PPC traffic or affiliated traffic.

How does this affect the user experience?

In the Search Engine Land article: Google to Begin Encrypting Searches & Outbound Clicks By Default with SSL Search, Danny Sullivan does a great job of describing the setbacks from this change. This encryption prevents sophisticated keyword-based targeting from being used. It is almost as if we’re taking a step backwards in the progression of custom and personalized information. Instead of creating a better user experience, this is essentially making the consumer work harder. Take for example someone searching for a specific product, but since referrer data isn’t passed along to the company, the user lands on a basic web page. Now the user has to navigate through the website in order to find their particular product – essentially making the entire process more time consuming for the user. As a marketer, having the capability to track and analyze specific keyword information will become harder to obtain.

Why the change?

There is much speculation and controversy around why this change has been made. The majority of comments we have seen believe it is a way for Google to make more money and gain competitive advantage. Google mentions there is a growing importance of protecting the privacy of personalized search results. In an effort to protect users and their privacy, Google feels this is reason enough.

There are two additional facts we find to be confusing. First, Google will continue to offer this data to their paid advertisers, which seems inconsistent with the goal of protecting user privacy. Second, Google will continue to gather this organic search result information without passing it on, thus giving them exclusive intelligence related to search results. Some say this will hurt small businesses that cannot afford to pay for online marketing services, while others mention that this is a step in the right direction towards protecting the privacy of the consumer. The debate will be ongoing as more people become aware of this change in the marketing and SEO world.

With change, there is naturally going to be resistance. Like many changes, there will be pros and cons. At the moment, Mongoose is more interested in the long-term effects. Specifically, we’re curious to know how this will impact the way we search and if this will become a standard across all search engines. Will referrer data one day disappear for good – paid or not? Again, going back to Search Engine Land’s article, Sullivan claims that the future is clear:

“Referrer data is going away from search engines, and likely from other web sites, too. It’s somewhat amazing that we’ve had it last this long, and it will be painful to see that specific, valuable data disappear.”

Let’s say he’s right and this data disappears from search engines, what does this mean for social? Most users are searching via social already; perhaps this is an attempt by Google to gain traction in the social space as well. Although Google+ is not the most popular network in the social world, this might be the first step towards making that a reality. For now, Facebook and Twitter continue to own the social search arena. Users trust their friends’ feedback, comments and likes, which is something you don’t have in search engines. However, with Google, you do have the +1 option – but you need to be on Google+ for that function.

Your thoughts?

What do you think about what Google is doing? Are you for or against this change? Please leave any comments and suggestions below.


7
Oct 11

Exploding Growth of Mobile Search Makes Call Tracking Essential for the Automotive Industry

Visitors to mobile auto sites grew 463% over the course of one year. The demand for mobile phone conversion solutions is critical. With the rise of mobile internet becoming the leading platform of web browsing, dealers must address this channel now or risk losing revenue.

Mobile Call Tracking Drives Conversion for Dealers

With one in seven searches happening via mobile, automotive retailers can’t afford to ignore the growing demand for mobile conversion solutions. A comScore study reported 21% of users access auto content almost every day and 48% access the content one to three times a month. Combining call tracking features with mobile conversion optimization enables marketers to engage mobile visitors, drive mobile sales conversions and help create competitive advantage. Consider the example scenario below:

Jane is looking to purchase a new car. She opens Google on her mobile browser and searches for “Used Ford Escape Dallas, Texas” This search takes her to a number of results, showing many options of used Ford vehicles being offered at various dealers in the Dallas region. She clicks on a prominent search result for John Ford Auto.

We know she is in the Options stage of the Buying Process, and we only have 9 seconds to get her attention. Using Mongoose’s Mobile Call Track technology, John Ford Auto pushes a special mobile alert to Jane 5 seconds into her visit that says, “We have your SUV, touch to call us now.” Jane clicks the mobile alert and her mobile phone populates with the number for John Ford Auto. The dealership gets the sale and Jane drives away in her Ford Escape. John Ford Auto knows that they won the sale thanks to Mongoose technology – because the conversion and phone call are recorded for easy tracking.

The Mongoose Metrics’ Mobile Call Track solution for automotive offers several powerful  features for customers that are serious about making mobile a part of their automotive marketing strategy:

  • Right Time, Right Place action triggers, which rescue visitors before they abandon your mobile website.
  • Increase & Measure Conversions – Auto dealers realize an immediate lift in mobile conversions of up to 30%– with ROI potential to increase overtime from 45 – 100%.
  • Seamless integration – Integrate with web analytics, bid management and CRM software for easy, consistent reporting.

With a growing number of searches being conducted via mobile phones, having statistics to understand the behavior of your customers is critical. The power to increase mobile conversions is yours. Are you equipped to drive more sales from your mobile site? Start now by contacting us today!


16
Mar 11

Calculate Lead Value and Improve Marketing Campaign Performance

Lead value is the average amount a lead (e.g. web form completion, phone call, online purchase) is likely to generate in revenue.

While on a macro level this is useful, the real value comes when lead value is identified for a specific lead source or marketing initiative.

With this information, you can gain a much deeper understanding of what activities drive leads with the highest revenue potential. As a result, you can make more focused campaign decisions, such as allocating budgets towards activities that have the greatest impact on the bottom line.

Data Collection

To calculate lead value, you must have access to lead and conversion data. The more data you can collect the more useful it becomes, as you can better segment leads and get more granular with your analysis.

There are three tools you will need to calculate lead value:

1. Web analytics

Using web analytics software, such as Google Analytics, Adobe/Omniture or Webtrends, you can:

• Track online lead conversions (i.e. web form completions, ecommerce checkouts).

• Indentify where online leads originate (i.e. search engine, online ad, social media, referring website).

• Track offline lead conversions (phone calls).

• Gather useful lead traffic data (i.e. pages viewed, repeat visits and time on site.)

2. Call Tracking

Call tracking solutions, such as Mongoose Metrics and others, are necessary to track offline conversions. These solutions record the source of any lead that chooses to call rather than complete a web form or purchase online.

To gather this data, the platform dynamically changes the phone number that appears on your website, based on the traffic source. Tracking phone numbers can also be assigned and integrated directly into offline campaigns (e.g. TV ads, radio spots, billboards, print ads, fliers etc.) to capture source information for leads that may never visit the website.

3. Customer Relationship Management (CRM) System

CRMs, such as Salesforce and SugarCRM, allow marketing and sales professionals to organize and track lead communications, customer conversions and generated revenue.

Several CRMs also enable you to integrate web analytics and call tracking data associated with individual leads.

Calculate Lead Value

Once you’ve collected a good sample of data, calculating lead value is a fairly straightforward process:

1. Create a report that includes all leads and associated revenue. Make sure the report includes leads that have not converted into customers.

2. Add all leads together = Total Leads.

3. Add all sales together = Total Revenue.

4. Divide total leads by total revenue = Lead Value.

Total Leads / Total Revenue = Lead Value

What to Do With The Data

This formula can be applied to your total lead volume, or used on a more specific category of leads (e.g. online marketing, online advertising, PPC campaigns, PPC keyword bids). The more detailed you can be with your data collection, the better equipped you’ll be to:

• Allocate marketing budgets to campaigns that produce the most valuable leads.

• Cut budgets on campaigns that don’t drive quality leads.

• A/B test campaign updates to see if lead value improves.

• Evaluate the ability of a lead nurturing campaign to improve lead value.

• Improve sales performance by adjusting follow-up communications, messaging, and even an individual sales professional’s technique.

How are you using lead value to improve your marketing campaign performance? Share your insight in the comments below.


14
Dec 10

Google Call Tracking Results and Analysis from a Live Campaign

A few weeks ago, I noticed that phone numbers were appearing in our Google Adwords Text Ads.  This was surprising because our pay-per-click management company took the initiative for this experiment.  Great job guys!  We have previously posted on Google’s launch of Google Call Tracking and a comparison between Google Call Tracking and Mongoose Metrics and are very excited to see Google enter the competitive landscape.

Additionally I was excited to have some real world data from Google to compare against our Mongoose Metrics system in an effort to understand how this tool can be used by customers to optimize and increase their ad spend.  We view the Google tool as a complement to the Mongoose Metrics infrastructure and understand that there will be situations where Google Call Tracking is the best fit for our customers.  Our goal is to gather enough information to talk intelligently and steer the customer in the direction which best fits their needs.

Conclusions:

  • No cost (currently) means its definitely worth an experiment.
  • Text ads do drive phone calls.
  • Google Call Tracking data is summarized by campaign and day, no individual call logs or recordings.
  • Unsure whether calls from the Ads are sales related or support related.

Would be nice to see:

  • Access to per-call logs and recordings (preferably via API).
  • Access to keyword-level performance reports.
  • No charge permanently.

Google Search Engine Result for Mongoose Metrics with Call Tracking Enabled

When I asked our PPC management firm for the call related data behind this campaign, they sent me over the below spreadsheet and noted that 

Due to the limitations of the Google Call Metrics program, we can provide only limited data describing the day calls were produced, the campaign that produced them, and the average call time for calls from that campaign on that day

Analysis Data from Google Call Tracking for Mongoose Metrics

We receive summary information by campaign for all of the calls which are triggered.   This is because Google currently allocates a phone number per campaign.   Because we can only receive summary data, understanding how to tie this information into the distinct calls our organization received is impossible; however, knowing that calls are actually triggered out of text ads is a surprise piece of information.   My guess is that these are likely support related calls, but without discrete detail I can’t easily support this conclusion.   I definitely advocate the program if it helps people reach us quicker (even if it is for support versus sales) however, I would not be willing to pay for support related calls.


17
Feb 10

Mongoose Metrics Partners with Acquisio to Offer Offline Conversion Analytics for Interactive Agencies and Pay-Per-Click Advertisers

Partnership Helps Clients Understand Who’s Clicking, Who’s Calling, How and Why

Mongoose Metrics today announced a partnership with Acquisio, a leading developer and provider of pay-per-click (PPC) management tools for search marketers.  These powerful tools allow customers of Google Adwords, Microsoft AdCenter and Yahoo! Search Marketing to optimize their campaign spending for a complete picture of conversions – both online and offline.  The collaboration now lets customers see a total view of how PPC traffic drives phone calls.  Mongoose and Acquisio have a number of common clients and the partnership leverages the strengths of both companies to offer greater value to customers. 

“We integrated Mongoose Metrics’ call tracking data into Acquisio so our clients can manage PPC campaigns based on performance, which also includes phone calls they receive.  By integrating Mongoose Metrics, we’ve made our powerful PPC management tool even more powerful, because we’re providing agencies the information they need to tie together their clients’ online campaigns and corresponding telephone or call center activities,” says Marc Poirier, co-founder and chief marketing officer for Acquisio.