Economics of PPC Pricing: Why Profit Sharing is the Future


In this third post in the Economics of PPC Pricing series, we consider the profit sharing model (you might also like to refer back to the previous Economics of PPC pricing posts on the markup model and the cost-per-sale model). By looking at the cost and revenue structures for both client and PPC agency, we discover that under the profit sharing model client and agency motivations are perfectly aligned, making profit sharing a highly efficient method of PPC compensation.

Although we infer that profit sharing is sound from an economic sense, we find it does have problems of its own in terms of implementation and conversion attribution, and conclude that profit sharing should only be considered once a strong and tested relationship has already been established between client and agency.

So let’s get started.

With a profit share deal, instead of paying the client paying the agency a percentage of PPC spend fee, or a set fee for each sale, the PPC agency receives a share of all profits they help to deliver for the client through PPC activity.

If the PPC agency helps make the client $50,000 in profit from PPC, and the agreed profit share percentage is 10%, the client will pay the PPC agency $5,000 for their troubles.

Since the more profit the agency makes for the client, the higher their fees, it is therefore in the agency’s best interests to make the client as much profit as possible. Unlike the percentage of spend (markup) model, there is no monetary incentive for the agency to spend money haphazardly on clicks to increase their commission. With a profit share model, it’s the other way around. There is an incentive for the PPC agency to reduce wastage and increase spend in areas which generate a return.

The profit share model is the only PPC pricing model which is perfectly efficient from an economics point of view. Unlike the management fee model, the percentage of spend model and the cost-per-sale model, with a profit share model both client and agency have the same common goal: to maximise client profit. As pointed out by Andreas Reiffen in his analysis on paid search profit sharing, it allows a win-win situation in which both the client and PPC agency are better off.

Paid Search PPC AdWords Profit Sharing

So the profit share model is economically sound. The point of maximum agency profit is also the point of maximum client profit. There is no other click volume which will deliver a higher profit. It provides the necessary incentives to help both client and agency maximise their bottom line.

What’s more, since a common goal is being chased by both parties, the profit share model provides a solid foundation for a long-lasting, open relationship between client and agency. It creates a platform for innovation, makes testing worthwhile and encourages the sharing of ideas to reduce clicks costs and increase click revenue. It’s in the agency’s interest to make recommendations to improve website conversion rates; and it’s in the client’s interest to share knowledge of their business with the agency to improve keyword targeting and ad copy. It’s a mutually beneficial agreement that can’t go wrong.

Or can it?

Perhaps. A client’s profit figures are sensitive information. If leaked into the hands of competitors, it could be disastrous for the client. A significant level of trust between both parties is therefore required for a profit sharing model to work.

Conversion Attribution

There’s also the issue of conversion attribution. Since the PPC agency’s fees are bases on profit generated from PPC activity only, how much the agency receives is entirely based on tracking capabilities.

Tracking generally uses cookies to measure customers who buy online within a certain time period (say 30 days), and generally ignores revenue through offline methods such as phone calls and store walk-ins. If someone clicks on a PPC ad while at work, then makes an order when at home on a different computer, or perhaps picks up the phone, that revenue is not attributed to PPC. Nor is revenue from users who have high browser privacy settings or reject cookies.

As pointed out by Econsultancy, PPC marketers are currently missing out on credit for half of the revenue their campaigns are driving, which is a huge amount. With a profit share model, agency fees are based entirely on trackable revenue, so the agency will be under-rewarded for the value they deliver. This can significantly compromise the level of investment in the client’s PPC campaigns, and the level of testing and innovation.

This bias in conversion attribution can also lead to the PPC agency reducing bids on generic ‘research’ keywords from customers earlier in the buying cycle. These keywords might not convert profitably online (according to the under-reported tracking), but may be essential for the client’s walk-in orders, branding or long-term growth. Again – not very efficient.

So although the profit share model performs exceptionally well at aligning the motivations of client and agency, it is far from a perfect PPC pricing model. A high level of trust is essential for it to work – as is accurate (and fair) revenue tracking. Until conversion attribution improves considerably, any business with strong brand or numerous different marketing touch points should use the profit share model with caution.

Are you a fan of the profit share model? Have you made it work for both client and agency? Or is it one for the future when conversion attribution improves? Share your thoughts in the comments section below.

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Alan Mitchell is an experienced Google AdWords specialist, with a proven track record in helping businesses increase their return on investment (ROI) from PPC marketing. To find out how logical PPC marketing can help your business, please get in touch today for a free consultation.

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  1. #1 by therealkieran on February 23rd, 2010

    Interesting article, certainly addresses some of the pitfalls with the other renumeration models.

    However, don’t think even profit share is the panacea to the agency pricing model. You mention attribution as one, others could be;

    Brand / Non-brand split – should I be giving away the same level of profit for brand attributed searches (no real work required.) Or product based keywords? Or content network attributed sales? Should I be giving most away for generic campaigns (hardest to make profitable)?

    Profit measurement – my big thing is measuring true contribution per order. Is profit going to be just on product margin or take into account all variable costs? Should it be averaged, I might make massively different margins on different products. I might have a discount code in the market at the time which could be the true driver of conversion rather than an efficient PPC campaign.

    Profit as KPI – I’ll know that some keywords won’t be profit making but I might want to rank highly to gain the benefit of the impressions on brand awareness. The model would have to be able to take this into account.

  2. #2 by Tom Jones on February 23rd, 2010

    Another great article.

    I agree in that this model can promote a degree of short-termism in the agency approach which does not necessarily take into account longer term strategic objectives – i.e. brand building and development.

    Some solutions to these problems are to a) reward effort based on an engagement metric (i.e. reward a conversion path touch for all completed actions) and b) ensure that there is a separate budget for investment in ‘brand building’ keywords/tactics.

    Finally, worth noting that this model tends to work best when there is a short research/consideration/purchase cycle – i.e. there is low latency between research and sale. As the research period gets longer it becomes harder to attribute value (based on cookie length/deletion, complexity of conversion path).

  3. #3 by Alan Mitchell on February 23rd, 2010

    @ Kieran

    Good point about assigning true value to brand vs. content vs. generic keywords. Different types of keywords naturally require very different levels of effort to achieve profitability, so it makes sense that agency fees are rewarded based on actual efforts. Brand vs. non-brand performance pricing is something I touched on in a previous post on cost-per-sale models, although it starts getting incredibly complicated once multiple variables are taken into consideration.

    Interesting point too about profit measurement and correctly assigning PPC contribution per order. I guess it depends on how open the client is willing to be regarding their profit margins for each product, as well as the number of outside influences with might affect sales volume, such as promotional discounts and non-PPC marketing activity. I think the smaller and more simplistic the client’s business model, the more likely a profit sharing model could work.

    @ Tom,

    You’re right, short-termism is definitely a big problem with any performace-based model. Using engagement metrics such as conversion funnel goals or on-site behaviour would help remove the problem of short-term bias, as would separating budgets for brand vs. non-brand, but a longer contract length could be a more flexible and efficient solution if a good relationship already exists.

    If a contract was to last for only a few months, the agency would see little point in developing the client’s brand for long-term profitability, so would only focus efforts on easy, high-converting keywords. However, if a contract was agreed to last for multiple years, it would then make sense for the agency to take on the client’s business interests as their own, and work to develop long-term profitability.

    Excellent point too about the length of the purchase cycle. The shorter the time from research to purchase, the easier it is to accurately attribute value, and the better the model becomes at accurately reflecting the efforts of the agency. Big multinationals and B2B suppliers should probably use the profit sharing model with caution.

  4. #4 by dave on February 23rd, 2010

    so what is a good revenue share percentage? I have recently locked into a 2.5% share of all online sales, doing ppc and seo for the client.

    Thoughts? No attribution worries.

  5. #5 by Alan Mitchell on February 23rd, 2010

    @ Dave

    I would tend to advise against revenue sharing. Since revenue sharing does not take into consideration click costs, it does not create incentives for the agency to spend effciently.

    If you’re taking about profit share, which does takes into account PPC costs, the percentage really depends on many factors such as relative bargaining strengths, reputations and likely risks of PPC activity for client and agency, average profit margins for the client’s products and services, the competitiveness of the industry and the estimated work, effort, knowledge and expertise required to make the PPC campaigns a success.

  6. #6 by Menno on May 13th, 2010

    Hello Alan,

    I just found your website and it is a great reading. I am looking into profit sharing after I was reading this article:

    http://www.vinnylingham.com/specialreports/profit-sharing.html

    It is all very interesting but I had some questions regarding this article and maybe you are able to answer them.

    - How do calculate the CM (Contribution Margin) when somebody has a shop and promote all kind of different products in ppc ?

    - In this model they use cpc but how do know the cpc for every position?

    - Do you think the above article is realistic with his calculations?

    Any advice would be great because I need to get my head around this.

    Thanks

    Menno

  7. #7 by Alan Mitchell on May 14th, 2010

    Hi Menno,

    You’re right, the contribution margin, also known as marginal profit per sale (profit will change depending on volume, so it measures the profit received from one extra sale), would be extremely difficult to calculate for retail stores with multiple different products and pricings.

    Although the different profits for each product make it almost impossible to carry out accurate pricing analsis, there are workarounds. Calculating average contribution margin, based on an average basket of goods (this can then be updated monthly, for example) or perhaps focusing on a return on investment (ROI) figure could be useful. Remember, with retail, everyone’s in the same boat, so any way you can find to better measure PPC efficiency will help to deliver better results.

    Accurate CPC data for every position is only really possible by adjusting bids for high-volume exact-match keywords and looking at positions over time, although this can be subject to temporal bias (certain hours or days of the week can have higher competition and could bias CPCs). Google recently launched a Bid Simulator which shows likely CPCs if you were to raise or lower your bids, but since it’s only available on a per-keyword basis, it doesn’t really help for large profit maximisation calculations.

    In terms of Andreas’ calculations, they all seem fine to me, and his conclusion that profit sharing is a superior model to revenue sharing is spot on. However, with any pricing model, it’s important to find one which works best for your business. Whether profit sharing is your ideal model will depend on many factors such as exisiting relationship with the client, level of trust, amount of keyword cost and revenue data, confidence in conversion rate data and strength of brand.

    Only you are able to decide which pricing models will work best for your situation, but hopefully this article, and the last two on markup pricing and performance pricing, will help you arrive at a more informed decision.

    Good luck!

    Alan

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