From the category archives:

ClickEquations

Paid Search Campaign Winners & Losers

by Craig Danuloff on November 12, 2008

Suppose you had to quickly reduce your PPC spend. Where would you cut?

One very helpful analysis is rank your campaigns (or better yet AdGroups) by ROI. This tells you where you’re getting more return-per-dollar, and where you’re getting less.

To simplify this analysis we built a ClickEquations Analyst Report, which runs in Microsoft Excel. To use it you define three thresholds - a high ROI that you desire, a low ROI that you detest, and a medium ROI that is minimally acceptable.

With a single mouse click you can then find out what number of your campaigns and what percentage of your spend and revenue fall into each of these bands. On the next tab in the worksheet you can find out exactly which campaigns fell into each group.

In the example above, we look at how ROI falls into four clusters and two charts visualize the spend and difference between spend and revenue.

Armed with this visual, most people are encouraged to look inside the campaigns - probably first by running the Ad-Group version of this report - and find ways to fix the losers or kill the problematic groups or keywords.

But you can’t drive to those actions and decisions without information. This report is a good example of how ClickEquations Analyst can help you to understand the performance of your accounts, and make good decisions about how to prioritize your PPC efforts.

You can begin your use of ClickEquations with a 30-day free trial. Sign up here.

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Ten Unique Features of ClickEquations

by Craig Danuloff on November 3, 2008

How is ClickEquations different than other paid search / bid management tools?

That’s a question we’ve been getting a lot since our recent introduction.

Here’s a quick list of ten capabilities we think set us apart.

1) Search Queries
ClickEquations captures and displays the actual query each user types, matched with the keyword it triggered and the match type of that keyword. I’ve written about the importance of seeing search queries extensively in the past, as without them it’s nearly impossible to accurately tune your keywords, match types, and bids.

Google Adwords itself provides only keywords at the ad-group level (you can’t see each matched against a specific keyword) which eliminates a lot of the benefit of this important data. Adwords also shows a much smaller percentage of the queries - a lot get lost in the ‘Other Unique Query’ count. I just checked one of our active ad-groups for the last 7 days, and Google only provided 33% of the queries while ClickEquations provided 80% of them.

2) Item-Level Conversion Details
ClickEquations captures item-level conversion data. It’s not enough to know you made a sale. You need to know you sold three blue shirts and a green hat. Or had a newsletter sign-up and four downloads.

Google and Yahoo Conversion tracking, and other simpler conversion trackers don’t provide this ‘SKU level’ detail.

3) Net Profit/ROI Calculation
ClickEquations enables net profit and true ROI to be calculated based on the margin (or value) of each conversion event, and displayed for each campaign, adgroup, and keyword.

Neither Adwords nor Yahoo, MSN, or even Google Analytics enable you to define margins to calculate real profit or returns.

4) Google Impression Share
ClickEquations displays Google Impression Share as an integrated metric in our Campaign reports. This important metric isn’t visible in Adwords Campaign Management or in any other PPC management tool. If you want to grow your campaigns, regularly monitoring your IS is critical.

5) TrueMetrics
ClickEquations delivers proprietary value-add metrics that provide important insights into your campaigns and ad-groups. These include our ClickShare metric which shows opportunity in AdGroups and Keywords, and ClickVariance which tells you when keywords are improperly grouped.

6) Performance
ClickEquations is fast. There was no gripe larger or inefficiency as great for us using other tools or working across three engine interfaces than extremely slow redraws and cumbersome interfaces.

In ClickEquations reports render in literally a few seconds, and account navigation and filtering are always at your fingertips.

7) Report Customization
ClickEquations allows you to see what you want to see how you want to see it. It starts with over 40 default reports many of which are tailored to specific tasks paid search managers perform many times each day, and each one can be customized and saved to display the data and sort orders you find most efficient.

8 ) Audit Reports
ClickEquations provides special detailed reports to help answer the common question - how come that report doesn’t align with this one? When you need to verify data between analytics and paid search, or with your backend systems, our rich audit reports help pin-point exactly which clicks and conversions are tracking properly.

9) Multi-Account Ready
ClickEquations supports agencies or large advertisers with multiple search accounts per engine. Just click to switch between accounts, and create powerful roll-up reports and dashboards.

10) ClickEquations Analyst within Microsoft Excel
ClickEquations provides live data feeds right into Excel 2003 or 2007 - with anytime one-button data refresh. This powerful plug-in supports our pre-defined reports and dashboards, lets you build your own from scratch, and can even be shared with other ClickEquations users.

Want to learn more? Attend one of our upcoming webinars, or get yourself a free 30-day trial.

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See ClickEquations at Emetrics

by Craig Danuloff on October 18, 2008

This coming week, October 21-23, we’ll be in Washington DC at the Emetrics Marketing Optimization Summit.

If you’ll be there, stop by for a ClickEquations demo, let us answer any questions you might have, or get setup for a free trial.

The exhibition hall is open Tues and Weds. To schedule a private discussion or demo time, just contact us at info@clickequations.com.

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Paid Search Data Sources

by Craig Danuloff on October 1, 2008

Data drives paid search.

We pay for clicks. We spend for conversions. And in between these two metrics we strive to understand how our keywords, text-ads, and landing pages are impacting results.

But where does the data come from?

Some of it comes from the search engines themselves. But there are other important sources too. One of the unintended consequences of picking your paid search management tool is that it defines the sources of data you’ll have access to on a daily basis.

ClickEquations uses six different data sources to provide a comprehensive look at campaign performance and rich context for reports and decision making.

Here’s a look at the data we include:

The Search Engines
The search networks collect and provide essential performance data about your account from the engine side; only the engines know how much you spent on any campaign or adgroup, your impression counts or click-through-rates, or the all-important average cost-per-click.

The search engines provide this information on their websites, and they offer API access to most but not all of it so other programs can automatically access/import this data for external use.

The API data is essential, but imperfect and incomplete. Thus far they don’t share any quality-score or minimum-bid info via the API, they don’t share the internals of all those ‘averages’, and there are a number of other metrics available in their on-site reporting systems (Google’s Impression Share being a primary example) that can’t be accessed by API.

The ClickStream
While search engine data tells you a lot about what happened on the search engine, it doesn’t tell you very much beyond the click itself - at least in their default configuration - about the behavior of searchers.

Gaining this important additional information requires adding conversion tracking tags to both website pages and target URLs. The realities of websites and the organizations that support them makes this unfortunately complicated, but it’s a struggle you really have to win to seriously manage paid search.

Both Google and Yahoo offer their own optional conversion tags. When enabled, these expands your data set to include conversion counts, conversion rates, and makes possible some simple calculations like revenue-per-click and average-order-value. (It should be said that using these tags also gives the engines more insights into the performance of your business, a fact that many companies legitimately fear.)

ClickEquations supports the search engine conversion tags, which increase the amount of data provided via the APIs.

But we also have our own ClickEquations conversion tags, which offer substantial advantages. With our conversion tags we get full conversion data on all three engines, sku-level details about sales including revenue-related info like tax and shipping costs. These tags also enable us to provide complete search query reports, and information about what users do on your website after they arrive.

We would recommend using the search engine conversion tags only if they’re already enabled and only until they can be replaced or augmented with our own tags.

Hidden Metrics
As mentioned above, not all the data the search engines have make it into their APIs. Some of that missing information is very useful.

ClickEquations integrates some of this ‘missing’ information, including our favorite - Google’s Impression Share metrics.

Impression Share tells you how often your text-ad was displayed as a percentage of the times it could have been displayed given your chosen keywords. Looking at your Impression Share, and the 3 related-metrics Google provides, is an important clue as to where your campaigns have the most unrealized potential.

Proprietary TrueMetrics
Using the data provided by the engine API’s, page tags, and other sources, we can apply mathematics and statistics to create new numbers that deliver very valuable information and insights. In ClickEquations we call these TrueMetrics.

Our initial release has a number of them.

  • Some are simple ratio’s - like what percentage of your Max-Bid is your Average CPC. This turns out that’s an interesting and useful number to look at when making decisions about your keywords or ad-groups.
  • Others are based on complex mathematical or statistical calculations - such as ClickShare which tells you how an ad-group or keyword is performing as compared to its potential.

Calculated Metrics
No matter how many metrics or TrueMetrics we provide, we know that nearly every search manager or business has their own unique views or needs for data - which is why with the Excel-based ClickEquations Analyst you can add user-defined calculated metrics to any reports.

In fact, we even use calculated metrics in many of our pre-built Excel report templates and dashboards. One example takes the Google Impression Share metric and combines it with our proprietary ClickShare metric to produce a ‘Potential Revenue’ metric that shows how much more revenue an Ad-Group could deliver if it were hitting its ‘full potential’ (meaning getting all possible impressions, running at position #1, and getting CTR’s equivalent to the averages of other related keywords.)

3rd-party Data Sources
Paid search doesn’t live alone in the marketing or business world. And it doesn’t have to live alone in your reports or analysis.

ClickEquations Analyst makes it possible to directly import data from virtually any other database - other marketing channels, product databases, and accounting systems, etc. - and connect it directly to your live PPC data.

This makes it possible to look at the inventory levels of items based on which keywords typically sell them, compare the performance of certain keywords between search engine and shopping engine channels, or addrich meta-data to products reports - to name but a few.

Living With Data

In carefully studying the full range of available paid search management software solutions over the past few months, I’ve been struck by how many rely solely on the search engine API data. The next largest tier supports conversion tags, either their own or those of the engines, but limits their utility by neglecting to capture full search query data or full shopping cart sku-level contents.

But limited data means limited reports. And limited reports means limited understanding. And limited understanding often means bad or at least uninformed decision making.

The power of ClickEquations comes not from having six different data sources, but from the ways in which that data is used to deliver understanding and drive better decisions. In upcoming posts we’ll revisit many of these data sources, especially the unique ones, and drill down into the uses and benefits of this information in everyday account management.

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ClickEquations.com Website Live

by Craig Danuloff on September 27, 2008

We’re pleased to announce that the new www.clickequations.com website is now up and running.

The ClickEquations.com Website

The site provides more information about our upcoming ClickEquations software release, an initial feature list (there may be some more details released in the future), and a new larger version of our 5-minute video demo.

And you can sign up for an invitation to get pre-release access to ClickEquations to manage your PPC campaigns.

News about our upcoming trade show appearances (we’ll be at SMX and Emetrics, for example) is there, and more.

As with any new site (or old site for that matter) it’s a work in progress, and we have more planned. But it’s nice to have a shiny new home on the web.

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Why We Created ClickEquations

by Craig Danuloff on September 22, 2008

ClickEquations was created because we wanted a more effective and efficient way to manage paid search campaigns.

We have years of PPC management experience, and have used many the top search management tools. We did a pretty thorough analysis of those we hadn’t tried ourselves. And we did some serious thinking about what it was we felt was missing.

The conclusion we came to was that not only did none of the available tools satisfy us from a feature perspective, but more importantly the philosophies on which they were built and the goals they seemed to have didn’t align with our beliefs about paid search management.

  • Search is about people, not keywords.
  • Math should drive decisions, not intuition.
  • The PPC options and controls are interdependent.
  • The tool should serve the search manager, not the search engine.

So we decided to build our own.

A lot of search agencies have built their own technology. But ours isn’t a skunkworks project.

We’re a venture-backed startup with leading SAAS-software investors including First Round Capital, Internet Capital Group, and Novitas Capital. Over the past few years we’ve built a complete development team, technical operations and customer support staff. And our management team has built and run market leading ecommerce and financial services software companies.

Development Vision
ClickEquations has been developed with a clear long term development vision in mind.

We want to apply as much mathematics and statistics to the management of paid search as possible. There is truth in the numbers, and power to be had in their analysis and algorithmic management.

But there is also a reality to the development sequence, and a lot of great things to deliver before we have the big magic ‘optimize everything’ button ready.

Data In/Data Out
The foundation of any paid search software platform has to be complete and accurate data. Everything that happens on top of that - reporting, management, recommendations, testing, automation - is only as good as the data.

So one important early effort in our development has been making sure we have complete and accurate data - from not one but six data sources that can be useful in reporting, analysis, and optimization.

Equally important is reporting - the ability to utilize the data for both decision making and communications. There are needs PPC managers have in their daily work, plus dashboards and summaries they are often asked to deliver for senior execs and clients. These should be screamingly fast and almost infinitely customizable.

Management & Bid Management
With comprehensive data and flexible reporting in place, the next natural step is the ability to make changes and take action - the core of what the category defines as paid search management.

As with data and reporting, with think it’s an opportunity to take a different approach.

Most tools blindly mimic the search engine interfaces, enabling editing and not much else. They fail to acknowledge the way the options are actually used, to connect the data that would drive you to want to change a variable to the ability to change that variable, or to consider any of the interactions and interdependence between options and controls.

Moving a control panel from one browser window to the next hardly seems worth doing.

Bid management is the emperor in the paid search management world, and while he’s not entirely naked he certainly doesn’t have nearly as many clothes on as some would like you to believe.

There is a lot that mathematical analysis can tell you about how your bid should be set - given one specific set of circumstances in terms of keywords, text-ads, match types, ad-group organization, and assuming you’ve got either a significant performance history on that specific keyword in those specific circumstances (and that they’ll all remain constant) or a collection of keywords with enough identifiable similarities that they can be intelligently grouped and considered as one.

We’ve got a comprehensive approach to bid management, so I’m in no way dismissing it as unimportant.

But buying/choosing/believing in a paid search management tool because of its ‘bid management’ capabilities is like believing you can win the Indy 500 if you just tune your carburetor perfectly.

There are other vital components in the system and if you essentially ignore them your chance for meaningful improvement is limited. But if you consider and manage the system, all things are possible.

The Interesting Stuff
Data, Reporting, and Management capabilities are the cornerstone of any paid search tool. But there are additional layers of capabilities that paid search managers need, and which we intend to deliver  - with tastes of each in early releases and focused effort as we move forward.

The reason is simple. Even when you have perfect data, flexible reporting, and the simple ability to add/edit/delete anything, paid search management would still not be effective and efficient.

It would be a world better than it is today, but you’d still be:

  • Staring at tens-of-thousands of rows of data with the tough tasks of deciding what to do,
  • Executing those changes and keeping track of them to determine whether or not they turned out to have positive effects, and
  • Doing lots of manual labor and calculations where software could provide either process or full automation.

So Here’s Why
This gets to the crux of why we’ve built ClickEquations.

Paid search software today helps people to satisfy the needs of the search engine advertising platforms. Every bit of data and just about every option and control (aside from those in the bid-rule modules some provide) are designed to give the engines what they need to run your ads they way they want to run them.

We’re just tending to their machine - and paying for the privilege.

We want to turn that around. The experience of paid search management should be one of thinking about people and targeting prospects and customers - not managing keywords and worrying about 17 ways to say ‘buy a cheap car’.

It should be about valuing relationships and outcomes not bidding $0.98 on Sunday night and $2.49 on Wednesday at noon.

And it should be about managing interactions throughout the prospect/customer lifecycle, not trying to get ‘quality score’ points by using the terminology an external force thinks belongs on your landing page.

We’ll move in phases.

  • First, you’ll get industry leading clarity into what’s going on so you can dramatically improve your understanding.
  • Then, we’ll help you see patterns and opportunities and avoidable risks in new and clear ways.
  • Later, we’ll provide a full set of algorithms that let you really stand up to their algorithms.

Slowly you’ll stop playing their game and start playing yours.

And In The End
Our goals are efficiency and effectiveness. Efficiency means keeping constantly in mind that our software is supposed to make the job of managing paid search easier. Effectiveness means our software is supposed to drive better economic results.

These are big goals. These are long term visions. These are what drive us.

The initial release of ClickEquations is a great start, valuable and differentiated. We look forward to working with anyone who shares our views of the potential of search management software.

PS: For a limited time prior to our official launch, you can request an invitation to try ClickEquations for FREE for up to six months. If you qualify, you’ll be notified and we’ll have you up and running in a matter of days. Come on, try it!

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Rethinking Paid Search

by Craig Danuloff on September 13, 2008

Two years ago we took a deep soul-searching look at paid search management practices and technology and decided both were inadequate.

Since then we’ve developed completely new management practices and technology, and it’s time to roll them both out publicly.

The management practices are built around a framework called High Resolution PPC. It’s based on the idea that there are three distinct stages in the paid search process and specific steps and checks to sequentially create a well formed and effective campaign.

The technology is our ClickEquations platform, and was developed based on the idea that paid search is not as efficient and effective as it could be because the software tools we have had are inadequate in a number of very specific ways.

Background
We’ve been professionally managing paid search accounts for about five years. As the market and engine platforms have developed, the size and complexity of the accounts managed has grown. Working with both venture-backed startups and Fortune 100 companies we live with high expectations, competitive sensitivities, and serious budget and ROI oversight.

While it’s been exciting to go along for the ride as the market exploded and the technology evolved, anyone who’s lived deeply in paid search management over the past years knows the day-to-day hasn’t been exactly a picnic.

It’s a lot closer to a horror show.

The search engines are opaque (to put it kindly) on multiple layers. If you try to actually figure out what’s happening and why, you find key information is missing, available information is contradictory, and things aren’t exactly consistent. The Matching Algorithms used by the Search Engines and their rules change constantly.

The image of easy-management and easy-money that caught the media’s attention in the early years is ingrained in the imaginations of VPs of Marketing, Merchandising Managers, and even some Directors of eCommerce. Which means they have expectations and make requests that make the PPC Manager’s head spin - on a daily basis.

But most importantly, the amount of change that the industry has gone through over these short, jam-packed years has not been kept up with by either the ‘best practices’ or the ‘delivered technology’.

Paid search management is a young profession, one in which everyone has been learning on the job, sharing info via the web, and attending  those endless conferences, but past a very small number of truly universal tactics there is no agreed upon ‘right way’ to organize and manage paid search, in even the most general sense.

That’s no way to spend $9 Billion or $10 Billion.

And the software tools haven’t fared will in this rapid-change environment either. The engines built interfaces that primarily serve their own needs. Instead of thinking about how paid search managers actually should and do work, and building tools to facilitate this effort, the tools are organized around the needs of the engines and their algorithms.

This leaves search managers often facing screens with 5 open applications, each which has one piece of the data or one tool they want, none designed for the whole job. In this environment work flow requires on a lot of application and context switching, cutting and pasting, and mental contortions supported by the acceptance of silly limitations and obvious inaccuracies.

We think it’s time for both the process and technology of PPC to catch up with the market realities and demands.

Introducing High Resolution PPC & ClickEquations
In the next few posts I’ll formally introduce both High Resolution PPC and ClickEquations.

High Resolution PPC starts with three primary goals - targeting the right prospects, assigning an accurate value to each, and then satisfying them. It provides the context for using the available paid search controls and options with clear ways to measure results and priorize work.

ClickEquations was and is being developed with three primary goals as well - delivering clear and accurate data, helping to prioritize opportunities and tasks, and automating as many PPC process steps as possible.

We’re excited to share the results of the last few years of work, and are eager to get your feedback.

After the upcoming introductory posts, I’ll deep dive into the specific components of each over the coming weeks and months.

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TheInsideAngle Blog Reviews ClickEquations

by Craig Danuloff on September 11, 2008

We held some blogger-only previews this week, and Andrey from theinsideangle has posted some thoughts after seeing ClickEquations.

The post is comprehensive, and here’s our favorite part:

From what I was able to see, the tool provides three traits that are very important to a search marketer.

  1. First, and most importantly, it tracks everything to a keyword level. There are many PPC management and analytics tools that don’t have this level of reporting so this is always the first feature I look for when analyzing any type of PPC software.
  2. Secondly, it’s fast.  During the presentation, Craig said that ClickEquations was pulling the data from their servers and the load times for each report seemed to be very quick. There is lots of data that needs to be pulled when running different reports for paid search campaigns that can be very labor intensive on the servers. Having software that is programmed to create custom reports and aggregate the data in a fast and efficient way is a big plus.
  3. Third is the detail. ClickEquations is able to provide very detailed data and Commerce360 has taken the time to add in other features that can be useful such as additional metrics, custom reporting and other features that make it, from an initial viewpoint, look better and more advanced than other PPC tools.

The tool also has some other added benefits such as professional looking reports, extensive integration with Excel (this is a big plus too) and an easy to use web interface. The interaction between Excel and the database looks like an analysts dream come true. The software allows you to quickly grab different sets of data into a custom report and quickly updates data as you change filters.

I could see this feature quickly becoming one of my favorites if I were to use the tool.

Thanks Andrey!

If you want to see for yourself, you have three easy options:

  • Stop by our booth (115) at Shop.org in Las Vegas next week.
  • Sign up for an Invitation to set up a free charter account.
  • Watch this space for upcoming public webinar demos.

NOTE: If you’re a blogger and would like demo or a review account, contact me and we’ll set you up.

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See ClickEquations at Shop.org in Las Vegas Next Week!

by Craig Danuloff on September 10, 2008

ClickEquations gets a real public preview next week in Las Vegas. We’ve got a booth at the Annual Shop.org Summit. We’re in booth #115 just inside the front door at Mandalay Bay.

The show floor is open Monday evening the 15th, and all day Tues and Weds (16th-17th).

We’ll be there doing demo’s of ClickEquations and you’ll see large crowds gathered around for our innovative ‘boothinars’.

If you’ll be there, stop by and say hello - you can even sign up to request a ClickEquations Charter Account right on the spot.

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ClickEquations and Quality

by Craig Danuloff on September 3, 2008

Quality is a common and perhaps overused word in our marketing language. But when not used as an instrument of hype, there is a world of quality as in improvement, control, and process.

One of our Search Marketing Managers, Matt LeVeque, is a member of the American Society for Quality, and a student of many related disciplines such as Six Sigma and Lean Six Sigma.

In a new post on his personal blog, Matt talks about this view of Quality as it relates to our ClickEquations paid search software, which he’s helped shape and been using throughout its development.

One of the most important features about ClickEquations is that quality has been built into the software based on real user requirements (search engine marketers) and tested over and over by a very skilled team of developers using the agile software development process. The development process happens in smaller iterations with improvements continually added to the software as needed (read: JIT ). This allows for a high level of quality control to be maintained by a software team working in a very flexible environment. The key point is that all of this work happens BEFORE the software is ready for public release this Fall.

Thanks Matt. But you do know we haven’t announced this yet, right?

Note: Matt is also the king of the kitch desktop image, bringing old familiar faces like Fred ‘Rerun’ Barry to our offices.

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