Solar Lead Generation – Solar Appointment Leads

Solar Panels

Top Quality Solar Lead Appointments are the number one way for solar energy installation companies to expand in the rapidly growing Solar Energy industry. Our Solar Lead Appointments are exclusive, competitive and available nationwide.

The truth about most solar lead generators is that they aren’t providing solar installation companies with customers with a high level of intent. Most are just looking for information about solar panel installation and its benefits. There’s nothing wrong with that but it doesn’t benefit you. Our Solar Lead Appointments eliminate the uneducated shoppers making it much easier to close the sale and set the appointment.

Our Solar Lead Appointments are initially generated from information seekers and shoppers via the internet through out affiliate internet sites. We then carefully screen the buyer’s information for accuracy through the use of multiple software systems and then transfer that information to our call center agents. Our agents then verbally verify the potential buyers address and contact information along with your specific filters and needs for your solar sales appointments. This process eliminates the “blind consumer to company pairing”. The potential buyer will know exactly what company they’ll be speaking with making the transition from our call center agents to your sales team a breeze.

All of our Solar Appointment Leads are 100% Conversional. We Eliminate the Low Intent Shoppers, Uneducated Buyers the Blind Consumer to Company Matching for you and Never Over Sell Our Leads. Our Solar Appointment Leads are available nationwide making it possible for us to focus on the areas your clients live in. We’re generating 200+ in-home solar appointments each day and we have the ability to scale your lead campaign accordingly. We explain the benefits of solar energy to the customer and set the appointment giving you the time needed to focus on expanding your business. The leads can also be customized to your specific needs.

36% of All New Electric Capacity in 2014 From Solar

Q3 2014 represented the second largest quarter ever for solar installations in the U.S., with installed photovoltaic (PV) capacity topping the gigawatt mark for the fourth consecutive quarter to settle at 1,354 megawatts (MW). This performance represents 41% growth over Q3 of last year and brings cumulative installed solar capacity to 17,500 MW. With nearly 600,000 solar installations through Q3, the U.S. solar industry is on pace to complete its 1 millionth installation in 2015. Through Q3, 36% of all new electric capacity installed in 2014 has come from solar. (All data from SEIA/GTM Research “U.S. Solar Market Insight: Q3 2014” unless otherwise noted.)

Installations Continue to Boom
• There are now over 17,500 MW of cumulative solar electric capacity operating in the U.S., enough to power more than 3.5 million average American homes.
• With over 49,000 installations in Q3, nearly 600,000 U.S. homes and businesses have now gone solar. Through Q3, a new solar project has been installed every 3 minutes in 2014.
• Growth in Q3 was led by the residential sector, which grew 58% over Q3 2014, and the utility-scale sector, which installed over 800 MW for the 3rd time in 12 months.
Solar More Affordable Than Ever
• Year-over-year, the national average PV installed system price declined by 11% to $2.71/W in Q3.
• Since the third quarter of 2010, the average price of a PV panel has dropped by 63%.

Record Growth to Continue
• Roughly 6,500 MW of PV is forecasted to come online in 2014, representing 36% growth over 2013’s record installation levels.
• 2014 will be a record year for CSP as 767 MW is expected to be commissioned by year’s end.
• By the end of 2014, the U.S. should have over 20 GW of cumulative solar electric capacity, roughly the same amount that is expected to be installed just from 2015 – 2016.
Solar Helps Fortune 500 Companies Save Money

Data from SEIA’s annual Solar Means Business report show that major U.S. corporations, including Wal-Mart, IKEA and Macy’s, are going solar at an incredible rate. The top 25 corporate solar users in America have installed more than 569 MW of capacity at 1,100 different facilities across the country as of August 2014.

Some other key takeaways:
• 129 million people – 41 percent of Americans – live within 20 miles of at least one of the solar installations reviewed for the report (see the map below).
• The average price of a completed commercial PV project in Q2 2014 has dropped by 14 percent year over year and by more than 45 percent since 2012.
• The top 25 corporate users have more than doubled their solar capacity since 2012.

Solar Energy Is An Economic Engine

As the solar industry grows, so does its benefit to the economy. According to The Solar Foundation, there are now nearly 174,000 solar workers in the U.S., a more than 20% increase over employment totals in 2014. These workers are employed at 6,100 businesses in every state. The increasing value of projects has injected life into the U.S. economy as well. In 2013, solar installations were valued at $13.7 billion, compared to $11.5 billion in 2012 and $8.6 billion in 2011.

Contact us today at for a no-obligation consultation to find out exactly how we can utilize our experience in order to meet your organizations growing demands.

TCPA Compliant TVM Live Transfer Leads



FDA Issues Warning on Pelvic Mesh
A pelvic mesh implant may be used during surgery when internal organ support structures have become weakened or stretched so that organs, like the uterus, bladder or bowel, have dropped from their normal positions and bulge or prolapsed into the vagina. Many thousands of pelvic mesh implants are surgically placed each year including those manufactured by Gynecare, Bard, Boston Scientific, AMS (American Medical Systems), and Avaulta.

There are alternative procedures and techniques that do not involve the use of a pelvic mesh implant. Surgical placement of mesh through the vagina to repair the pelvic organ prolapse, may present an unnecessary risk without offering the benefit of potentially safer options, according to a U.S. Food & Drug Administration.

Dr. William Maisel, Deputy Director and Chief Scientist of the FDA’s Center for Devices and Radiological Health stated, “There are clear risks associated with the transvaginal placement of mesh to treat POP. The FDA is asking surgeons to carefully consider all other treatment options and to make sure that their patients are fully informed of potential complications from surgical mesh. Mesh is a permanent implant — complete removal may not be possible and may not result in complete resolution of complications.”

  • Pelvic Mesh Complications
    The most common issues or complications associated with the use of pelvic mesh include:
    mesh becoming exposed or protruding out of the vaginal tissue,
    pain during sexual intercourse,
    organ perforation from surgical tools used in the mesh placement procedure, and
    urinary problems.

Some patients required additional surgery or hospitalization to treat complications or to remove the mesh.

Treatment of the various types of complications included additional surgical procedures (some of them to remove the mesh), IV therapy, blood transfusions, and drainage of hematomas or abscesses.

Get Live TVM Patients Looking for Possible Representation Due to Complications and Side Effects.

30+ Transfers per Day Capability
Sourced from Online Opt-In Womens Health Surveys
20 Minute Window to Gauge Prospects Personal Qualifications
3 Day Lead Return Policy
75-80 Percent Average Lead Acceptance Rate

Our focus is in delivering cost effective, self-reported, highly qualified and truly interested female prospects looking for help due to major side effects they’re experiencing from their original surgery

Our call center is highly efficient and experienced in the Mass Tort Lead space and will make sure your leads are delivered daily in a consistent and seamless manner

Pay for only the leads that meet your specific requirements

Mass Tort Data Available for Call Center Use Too (Male and Female Leads)

For more information about TVM Live Transfers and pricing please feel free to email me at or give us a call at 714.203.7577

19 Steps to a Successful Direct Mail Campaign Timeline


BY Craig Simpson

There are many details that go into setting up a direct mail campaign. If you establish a set of procedures to follow for each mailing and use a checklist to guide you, scheduling your campaign can be much faster and easier than you think.
Include the following items on your direct mail campaign checklist:
1. Write sales copy and sales copy design. Make sure your piece is written and laid out before scheduling the rest of your mail campaign.
2. Give list broker the mail schedule. Plan ahead with your list broker, and make sure your broker is aware of your mailing schedule. You’ll want your broker to make several list recommendations, and the more time you allow for the process, the more research he or she will be able to do. Provide your broker with a copy of the sales piece you’re mailing and, if possible, a copy of the product you’re selling. By doing these things, you’ll help your broker recommend the best lists for you.
3. Request printing quote for sales piece. Get price quotes from several different printers. Select the printer who offers the best combination of price and service.
4. Place list orders with broker. After you’ve selected the lists you want to mail, place an order with your list broker. Tell your broker what the list due date is and where you want the lists to go. Also ask your list broker to send back an order confirmation.
5. Give mailing schedule to data processing company. The company that’s going to handle your merge purge and data hygiene will need to know when the list due date is–i.e., the date that all the rented lists should be in. It will also need to know what lists you ordered and their order numbers to help it identify which lists it’s received and whether any are missing. You’ll also want to give the data processor instructions concerning what type of data hygiene you want to use so it knows exactly what’s needed to clean up your lists.
6. Artwork due at printer. This is the date on which you need to have the file containing your sales piece at the print shop. Have the print shop tell you how much lead time it needs to get your job done on time, and make sure you send the file in a format the printer can read.
7. Approve bluelines and color proof from printer. After the print shop receives your file, it will output a blueline and color proof, or email a PDF. The blueline is taken directly from the film that will be used to create printing plates. On the blueline, you need to check the copy, line breaks, page breaks, borders, cropping–in other words, everything. This is your last chance to make changes. Check the colors to make sure they’re exactly what you want. Any errors found on the blueline will end up on your printed material unless you make corrections.
8. Send data processor suppression files and seed list. The suppression files are names you want to omit from the mailing. For example, if you’re mailing an offer to sell a limited edition watch, you’ll want to omit all prior buyers of that watch. The seed list is the group of names and addresses you use to track delivery of the mailing. The list would have the names of individuals in different regions of the country who’ll inform you when they receive the sales piece and let you know what condition it’s in when it arrives.
9. Mailing list due date. This is the date all the lists are due at the data processor. If a list isn’t in by this date, you’ll need to cancel it. You don’t want to hold up the merge purge and possibly risk changing the mail date over one list not arriving on time.
10. Issue merge purge instructions and approve merge purge. These are the instructions you give to the data processor indicating what criteria you want to use for running the merge. After the merge purge is completed, check the results to see if there are any red flags. For example, if after the merge purge one of your 10,000-name lists is reduced to 2,000 names, you should investigate why.
11. Issue key codes and splits. The key codes are used to track the effectiveness of different elements of your campaign, such as lists, copy variations, sales package, etc. These codes will help you know what the response rate is for each list and tell you how well your test pieces are doing.
12. Issue lettershop instructions. These instructions tell the lettershop–the company assembling your mail pieces and preparing the mailing for the post office–how to process your job.

Tell them:
• Where the address label should appear on your sales piece
• What type of font you want for the address information
• What class of mail you want to use–first class or standard/bulk
• If you’re mailing a letter package, specify the insertion order for each component and in what direction you want everything to face
Ask the lettershop to presort the mail file into mail groups by ZIP codes to save the Postal Service time. It will give you a discount for doing some of the work.
13. Approve key codes and splits. After you’ve given the data processor your key codes and splits, it should send back a confirmation and sample. The data processor needs to apply the instructions you gave it and then let you approve.
14. Mail file due at lettershop. This is the date the data processor needs the final mail file at the lettershop.
15. Printing due at lettershop. Your sales material is due at the lettershop on the same day the mail file is due. The lettershop will then have everything needed to start processing your job.
16. Postage request from lettershop. The lettershop will take your mail file and calculate the total postage for your mailing. Then it’ll send you a request for postage. The Postal Service will not accept your mailing unless the postage is paid in advance.
17. Approve address panel(s). When the mail file is ready, ask the mailing facility to fax or email you a sample of how the names and addresses will appear. Check to see that everything looks exactly the way you want it, and that it appears in the correct place on the material.
18. Reports due from data processor. After the merge purge is complete, the data processor will send you reports from the merge purge process. Review these reports, and then, if necessary, send portions of them to your list broker so you can get the deductions you deserve on your list rental.
19. Postage due date. It’s necessary to get the postage to the lettershop the day before the mailing. You don’t want to miss your mail date because you didn’t get your postage in on time.
After your mailing has been dropped off at the post office, get a verification form confirming the number of pieces it received from you, the class of mail and the total cost. You also want the form to have the Postal Service “date stamp” for the day your mail entered the mail stream. This verification tells you whether the lettershop mailed the correct number of pieces and on the correct day.

For All Your Direct Mail and Data Needs Contact

S. Tyler Stapley
Apex Direct Marketing – CEO / Owner
Skype – tyler.stapley1
E-mail –
Website | LinkedIn | Blog | Twitter

“The harder I work, the luckier I get.”
Samuel Goldwyn


8 Advertising Potholes Auto Dealers Should Avoid

In a drive to encourage truth in auto advertising, the FTC has announced Operation Steer Clear – a coast-to-coast law enforcement sweep focusing on deceptive TV, newspaper, and online claims about sales, financing, and leasing. If you have clients in the auto industry, the lessons of Operation Steer Clear can help keep them on the right track.

The companies named in the 10 lawsuits include four California dealers: Casino Auto Sales in La Puente, Rainbow Auto Sales in South Gate, Honda of Hollywood in Los Angeles, and Norm Reeves Honda in Cerritos. Also the subject of law enforcement action are Fowlerville Ford in Fowlerville, Michigan; Nissan of South Atlanta in Morrow, Georgia; Infiniti of Clarendon Hills in Clarendon Hills, Illinois; and Paramount Kia in Hickory, North Carolina. In addition, the FTC took action against Texas-based Southwest Kia companies, including New World Auto Imports in Dallas, New World Auto Imports in Rockwall, and Hampton Two Auto Corporations in Mesquite. A lawsuit against Courtesy Auto Group in Attleboro, Massachusetts is heading to trial before an Administrative Law Judge.

You’ll want to review the complaints to see the allegations in each particular case, but busy dealers can supplement their TO DO lists with these TO DON’TS, ad-related practices the FTC challenged as illegal in one of more of the cases:

Deceptive pricing. Some dealers lured prospective buyers onto the lot by advertising vehicles at a specific low price. But the real price was $5,000 more. (The complaint mentions that some of these ads involved a mix of English and Spanish.)

Deceptive teaser payments. In some cases, dealers advertised attention-grabbing low monthly payments. What they didn’t explain up front was that those were temporary teaser payments that would get jacked up after a short period. The FTC says dealers didn’t state the number of payments and how much they would be after those first few low monthly payments.
Undisclosed balloon payments. Another dealer advertised low monthly payments without clearly disclosing that buyers would owe a final balloon payment. What’s more, the FTC says the dealer didn’t disclose the amount of that balloon – in this case, over $10,000.

False $0 up-front leasing claims. Some companies advertised that consumers wouldn’t have to pay anything up front to lease a car. Not true, says the FTC. In fact, lurking behind those goose eggs were hefty fees and other amounts due up front.

Undisclosed lease terms. The FTC says some companies touted low up-front amounts and low monthly payments in their ads without clearly explaining that the transaction was actually a lease and involved substantial hidden fees.
Hidden rates. In one case, the FTC charged that the dealer claimed to offer 0% for 60 months. But as it turned out, the rate applied only if people bought a new car for up to a certain dollar amount – in one instance $12,000. If the car of a consumer’s dreams was, say, $18,000, the buyer would have to pay a higher rate, and that rate wasn’t clearly stated.

Bogus prize promotions. One dealership used a mailer to get folks in the door, falsely claiming the consumer had won a sweepstakes prize.
Credit and leasing violations. In many of the cases, the FTC charged that companies violated the Truth in Lending Act (TILA), Reg Z, the Consumer Leasing Act, and Reg M – long-standing laws that any dealer should be familiar with. One common thread: the failure to disclose key credit- or lease-related terms in ads.

To settle the FTC lawsuits, the companies have signed proposed orders that will change how they do business in the future. Notable terms in these legally binding settlements: a ban on ads that misrepresent the cost to buy, lease, or finance a vehicle and a prohibition on other deceptive claims about pricing, sale, leasing, or financing. When charged in the complaint, the orders mandate that dealers abide by TILA and the Consumer Leasing Act.

Also forbidden: bogus claims about sweepstakes, prizes, or other incentives.
The FTC is accepting comments about the proposed settlements by the February 10, 2014, deadline.

• By Lesley Fair

Data Brokers and the Driving Force behind the Data Economy



With all the talk of data out there, who is actually using it and what are they using?  Turns out, most data used in the enterprise today comes from internal applications. That is starting to change, and the trend will accelerate.  But for now, when asked which data types were important to their firm’s overall business strategy, the majority of business intelligence users and planners cited internal sources such as transactional data from corporate apps or other customer data. Only about 1/3 of respondents reported the importance of external sources such as scientific data, partner data or other 3rd party data.

Fewer still used unstructured external data such as Twitter feeds or other social media sources. Current data sources are limited.  Yet both business and IT decision-makers recognize the need to improve their use of data:  56% of business and IT decision-makers surveyed by Forrester see improving the use of data and analytics to improve business decisions and outcomes as a top priority. And, that potentially includes expanding the use of external data… if they can find it.

Where do they go for external data?  What types of data might complement their transactional and other internal data? How can corporate strategists and market research teams identify new sources of information? Where can they find them, and how can they acquire and consume them? Can they be combined with internal data? Are the sources safe? reliable? sustainable?

We’re kicking off research here at Forrester that looks at data providers and enablers in the new data economy. Some are veterans of the data industry like Lexis Nexis  or Dunn & Bradstreet.  But others are new players who have entered the market to help facilitate the exchange and use of data.

For example, Enigma is a new search and discovery platform for public data – note they do not say “open data” but rather any data that is available to the public whether enterprise data, scientific data, academic data or open government data.  They describe the “public data paradox” in which data is out there and available but not accessible.  Public data remains in diverse formats – although that will slowly change with new government mandates for API access – and is not yet indexed and searchable.  As they put it “you are limited to the data you know about” and you can’t see the connections among different data sets.  At Enigma, they have built an infrastructure for acquiring, indexing and searching public data.  It makes it easy to find data on a particular subject, and most importantly find data sets you didn’t even know about. As they say, “a lot of people have been pioneering how we analyze the world with data” but what was missing was how to find that data.  They want to be the “Google” for public data.

Another example on my side of the pond is Data Publica. Like Enigma, they help businesses acquire data, yet with less emphasis on self-service or a “Google” approach.  Data Publica will help identify data sources, will extract and transform the raw data into a usable structure, and will deliver data as a service.  Delivery mechanisms range from dashboards and reports to data sets or streams, either as a one-off purchase or through subscription access.  Customer solutions include regional dashboards used to determine market opportunity and RFP notifications alerting potential bidders of a new request.  Small businesses who might not have the internal resources to watch the websites of multiple government agencies on a daily basis benefit from the RFP aggregation Data Publica provides by pulling data on public RFPs from over 100 sources.  Getting a timely alert that an RFP has been issued can be the key to winning the bid.

DataPublica also assists the other side of the equation, the producers/owners of public data.  In the City of Nantes, DataPublica provided guidance in the launch of the open data initiatives, advising on data structure, as well as the delivery of data through both visualizations and APIs.  Public organizations may produce data, but they face the perennial challenge of bringing it to market.

Given the skills shortages and difficulty in recruiting data expertise, enablers like Data Publica and Enigma are key to the development of the data economy. Stay tuned on more Forrester research on these enablers of the data economy.  Posted by Jennifer Belissent, Ph.D.

“Your Turnkey Solution to Leads and Data”

Crush the Complexity of Cowardice

Wonderful advice to follow. Reducing ones “drag” by eliminating things that are not working instead of just adding adding adding is something I don’t see too often.

3 Reasons Why “Big Data” Isn’t Really All THAT Big

Quality Payday Leads

Over the last couple of years, Big Data has been unavoidable. It’s not just big, it’s massive. If you throw a stone down the streets of London or New York, you’ve got as much a chance of hitting a big data guru as you do a social media guru.

Undoubtedly, there is great power in data, but is Big Data all it’s cracked up to be?

50% of my brain thinks Big Data is great, and 50% of me thinks it’s a neologism. I’ve found it difficult to reconcile all of the varying information out there about it.

So join me for the first part of a two-part series looking at Big Data. In part one, I’ll look at Three reasons why Big Data is a big load of baloney. And next week in part two, I’ll look at Three reasons why Big Data is awesome.

1. Big trends are trendy

My pet rock still hasn’t moved, and my Tickle-Me-Elmo still won’t shut up. And also, Big Data is big, at least according to Google Trends:

Targeted Data

Some other terms once synonymous with the inter-web were pretty trendy too. Remember this one?

Auto Finance Leads

The adoption curve of the term “web 2.0” looks quite similar to where we are now with Big Data. And yet, if you still use the term “web 2.0” in your job, then you probably think the Fresh Prince still lives in West Philadelphia. (He doesn’t.)

The thing about Big Data is that it really isn’t anything new. Cluster analyses, propensity modelling, neural networks and the like have been in use in the marketing sphere for quite some time.

The phrase used a few years ago for this sort of stuff was ‘business intelligence’


But now, we don’t care about business intelligence anymore. Who needs intelligence? It’s over-rated. Like Goethe said, “All intelligent thoughts have already been thought”.

And yet, Big Data is everywhere. Why shouldn’t it be? It’s BIG. However, you ask 10 people what Big Data means, you’ll get 10 answers, none of which make much sense.

Maybe it’s because of this:


We’ve all seen Moneyball and read Nate Silver’s blog. There are people out there who are better at statistics than you. And this is scary.

So what’s the solution? Throw a bunch of money at Big Data, whatever it is, and sleep soundly knowing that you’ve gainfully employed a math graduate.

And therefore, Big Data is a big load of baloney.

2. Missing one V

Gartner defines Big Data as requiring Three V’s: Volume, Velocity, and Variety. So let’s look at this a bit deeper.

Volume of data: for sure, there’s loads of data out there. Huge amounts. Check.

Velocity of data: yep, data is moved around in large quantities faster than ever before. Check.

Variety of data: in most digital marketing ecosystems, there are the following types of data (yes, I know there are more, but for the sake of argument bear with me):

  • Site stats.
  • Email engagement stats.
  • Mobile/SMS stats.
  • Past purchases.
  • Demographics, preferences etc.

And within each of these, the options are finite. For example, in email, most people measure (at the very least) opens, clicks and conversions. That’s three types of data.

And for all of the other areas above it’s the same. For the sake of argument, let’s say that we’ve got 30 types of data in total.

This is the thing. 30 types of structured data. Processing this data doesn’t require a super-computer, it simply requires robust statistical methodology.

So, if you’re a digital marketer, what you actually have is ‘a few sets of structured, small data’, not ‘Big Data’.

And therefore, Big Data is a big load of baloney.

3. You can perfectly predict the past

With the beginning of the National Hockey League’s 2013-14 season fast approaching, I’ve been spending a lot of time lately trying to determine the best bets to place on the eventual winner.

And of course, it seems Big Data is the best route to my next million dollars. (Btw if anyone is interested in joining my hockey pool then drop me a line – go-live is 1st October!)

I downloaded as many team statistics as I could from last season and embedded them into a spreadsheet. It included rudimentary statistics such as Goals For and Goals Against, right through to Winning % when trailing after two periods, CORSI 5v5, and defensive zone exit rate.

Then I ran a multiple regression and removed non-causal variables. I perfected the model such that the formula spat out expected point totals that were on average within 0.5 points of the actual result.

When I plugged in the raw data from the previous season, the outputted expected results weren’t even close to the actual results.

This is a perfect case of what is called ‘over-fitting’.

When you have a lot of data, the urge is to use all of it and create an uber-complex, bullet-proof formula. Take all of your data points and find the trendline that touches everything. But there’s an inherent problem with this – all you’ve done is create a formula to perfectly predict the past.

The risks that come with an over-fitted model are twofold:

  1. You are assuming that the future will      be the same as the past.
  2. Adding or removing variables becomes      extremely difficult and risky.

So despite there being lots of data out there, the dominant strategy is to focus on the causal variables. In the hockey allegory above, while I won’t reveal my secrets, two of the stronger predictors of eventual success are goal differential and shot differential.

Not rocket science, I know – if you take more shots than your opponents you’ll generally score more goals than your opponents. However, I did learn to remove strictly correlative variables (such as Faceoff Win %, PDO and punches thrown).

Instead of focusing on Big Data and its billions of variables, I’m instead focusing on a small amount of variables that actually matter.

Within your organisation, what are your causal variables? By looking at all the Big Data available to you, you run the risk of the truly valuable signals being obfuscated by irrelevant correlates.

And therefore, Big Data is a big load of baloney.


I do too. Well, 50% of me does. Feel free to elaborate on your point of view in the comments section below.

Parry Malm is Account Director at Adestra and a guest blogger on Econsultancy. Connect with him on LinkedIn or Google+.

Topics:Data & Analytics

by caesararum

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