How Should B2B Companies be Using Email Marketing

Communication concept: Hand pressing a letter icon on a world map interface

Introduction

A business to business (B2B) firm involves the exchange of goods, services and/or information between two or more businesses. The issue is how we, as marketers, can translate this into an email marketing strategy and campaign.

The difference between business to consumer (B2C) and a B2B marketing is in a B2C a marketer needs to understand the emotions of a consumer in order to convince them to buy your product. This is in contrast to a B2B environment where the professional relationship revolves around logical reasoning to persuade purchasing decisions. This, as a result, means a marketer must be more in-depth with their marketing initiatives and must focus on things that matter most to a business, such as time, money and resources.

Email marketing is an essential part of B2B marketing strategies. Email marketing campaigns build relationships with business prospects and gather important data. It is a cost effective, measurable method of marketing that can be highly personalised, and allows behaviour to be tracked and then future activity to be constructed to reflect this behaviour. However, this is only when it’s used effectively. Due to the fact that email marketing is viewed as “incredibly cost effective” (Nussey, B. 2004) there is a tendency for it to be used chaotically at times. If an email campaign sent to 1,000 individuals leads to 10 responses, why not just send out 10,000 emails? That generates more responses? Great. Let’s send out 50,000 more. It’s a slippery slope to slide down, where the saturation of sending emails out in bulk leads to a less targeted audience, undermining and endangering the integrity of the campaign. This coupled with the fact that some of the poorer quality email campaigns generate shocking bounce rates (King, K. 2015) highlights the importance of getting the campaign out in an effective and efficient manner.

5 Elements B2B firms should be focusing on

The elements suggested within this section loosely follow the customer marketing lifecycle suggested below by Gilligan, C (2012) where we are under the assumption that external market environments covered by elements 2 and 3 are already accounted for.

Marketing Strategy process

This leaves identifying target audience, attracting them, nurturing them and then optimising based off of data collected. Formulating the suggestions as follows:

  • Ensure the campaign is targeted

As mentioned in the introduction section, a sporadic and untargeted approach is not an appropriate strategy. According to The Internet Marketing Academy (2011), email campaigns should be targeted to specific audience segments. This would be carried out by using behavioural data and the right selection criteria to ensure the activity is highly targeted and highly relevant, then marketers can use email to speak to a captive audience.

  • Content needs to be varied and creative

As Nussey (2004) suggested, email is cost effective, yet this is no excuse to under budget your creative. Content needs to be engaging every time it is created, this is crucial in maintaining the interest in your market. Once you are segmenting and targeting your audience deliver them media that is engaging to each segment this way you don’t waste your audience’s attention. This means ensuring your data is absolutely accurate and acted upon.

  • Have a back end data strategy and act on the findings

Having high quality email data is the foundation of building high engagement rates and thus greater return on investments. Enabling data that has real depth allows the marketer to be responsive to the findings they have at the end of each campaign. Constant optimisation leads to a refined strategy where people are seeing this varied and interesting content (as per point two), which is specific and targeted towards them as individuals. As with much in life it’s about quality not quantity and according to Buxton, M (2014) this has only become easier with technological advances in email service providers.

  • Integration with other channels

As in the B2C world, email in the B2B environment is best used and works most effectively, as part of a multi-channel, multi-disciplinary marketing approach (Roberts, M. & Zahay, D, 2013). This involves links to social media channels and content marketing pieces such as blogs and videos. Once again this increases engagement with not only the marketing activity but the company as an entity.

  • Nurturing current clients and prospects

Over time email marketing campaigns can build relationships. By checking in with clients every now and then, businesses keep the lines of communication open and gain helpful feedback (Janzer, A. 2015). It’s also a good way of making clients feel like there are real people behind the branded email messages and this more human element generates additional engagement. On the other side of the purchase lifecycle, nurturing the leads involves creating a emails that are sent out over a period of time that are specifically designed to get people who are on the fence to be interested in your business.

Problems with B2B email marketing

There has been significant development in the reliability of spam filters provided by email service providers meaning more and more B2B email marketing head straight to junk folders where they are rarely acted on, and are most definitely ineffective. Research conducted by email marketing consultants Return Path (2015) has found that deliverability rates have fallen to a record 83% since the second period of 2011. This suggests that it could be important to re-examine the utility of email marketing as an efficient marketing platform within modern B2B marketing.

Email marketing has a significant and often inherent association with spam due to the nature and growth of the platform, with the continual use of batch and blast methods of email campaigns by uninformed marketers. Businesses are sending too many emails and consumers don’t have the time to read them, whether they are other businesses or individuals. Ultimately this leads to diminishing effectiveness of reaching leads and current consumers in B2B email marketing as people simply ignore or junk these messages.

Conclusion and consideration

Email campaigns are fundamental to any B2B marketing strategies. Email marketing is a fantastic way to start conversations and build relationships over time, adding value across the customer lifecycle. However, there is a method and thought process that needs to go into them as a “batch and blast” method is not effective enough to compensate for the requirements of specific targetB2B markets. On top of this, the future has to be considered and a potential re-examination of how email as a marketing tool may have to be conducted. There needs to be an increase in sophistication and more focus if email is to survive as a marketing platform; without it email utility could decline.

 

References

Buxton, M & Walton, N (2014). E-commerce Platform Acceptance: Suppliers, Retailers, and Consumers. New York: Springer. p88.

Gilligan, C & Wilson, R (2012). Strategic Marketing Planning. London: Routledge.

Janzer, A (2015). Subscription Marketing: Strategies for Nurturing Customers in a World of Churn. New York: Cuesta Park Consulting

King, K. A (2015). My library My History Books on Google Play The Complete Guide to B2B Marketing: New Tactics, Tools, and Techniques to Compete in the Digital Economy. New Jersey: Pearson. p77.

Nussey, B (2004). The Quiet Revolution in Email Marketing. New England: SMTP Press. p58.

Return Path. (2015). Deliverability Benchmark Report Analysis of Inbox Placement Rates in 2015. Available: https://returnpath.com/wp-content/uploads/2015/10/2015-Deliverability-Benchmark-Report.pdf. Last accessed 20th April 2016.

Roberts, M. & Zahay, D (2013). Internet Marketing: Integrating Online and Offline Strategies. 3rd ed. Mason, OH: South-Western. p175.

The Internet Marketing Academy (2011). Email Marketing. Online: The Internet Marketing Academy & Ventus Publishing. p19.

Using Attribution Modelling to Generate More Efficient Digital Marketing

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What is Attribution Modelling and why do we need it?

Aimlessly spending marketing budget on digital marketing can be very costly to a business. Fifield, P (2008) admits that although in marketing there will always be leakage in spending it is important to identify where this is so it can be minimalised. According to Banasiewicz, A. (2013), actions taken on successful tracking and analytics of big data is the key to this. But how do you analyse all this data at your disposal? Attribution modelling!

Attribution modelling is how you attribute value to the different channels that contribute to conversions or sales on your website (Ryan, D. 2014). This can then be used to make better decisions with your digital marketing efforts. The models are the sets of rules which are used to determine how the conversions and sales are attributed to different touch points along the conversion path.

First of all let’s create an example scenario with “company ABC” which illustrates the need for a more rigorous attribution modelling system by outlining the issues with the previously used last click attribution (LCA) model. LCA uses information taken from the piece of marketing that, as the name suggests, was last clicked on before the customer converted (Phillips, J 2014), where a conversion is defined by the company. A conversion can be a newsletter sign up or a complete sale for example. The effectiveness of the marketing is then directly attributed to that last piece of marketing and the complete online customer journey is disregarded and forgotten about. Marketing analysts looking at an LCA model would then look to weight the marketing spending towards this “more effective” channel. Let’s look at the implications of this:

Below are four channels of online marketing that company “ABC”, for example purposes, are using. Then below each of these are the value attributed to them via a last click model based on their conversion, which for ease we will count as a sale.

LCA model sales

From the above it looks like PPC marketing is the most effective means of generating sales. However the consumer’s journey has not been completely considered at all. The method of working out how marketing spend should be assigned should not be as black and white as solely looking sales figures drawn from the last piece of marketing interacted with. Certain marketing methods are used to purely generate consideration for the product or service and thus are unlikely to immediately generate a sale yet are still important to the customer journey (Schönhoff, A 2014).

Below I have created an example of a consumer’s purchasing journey which should more accurately show that there is more to be considered than just the last click a customer makes, and also demonstrate the value of the entire marketing plan as a whole. The boxes are colour coded to reference the channels above that the marketing activity stated is part of.

conversion path

As you can see this user journey has a lot of touch points from a digital marketing perspective and using the LCA model all of this customer’s conversion would be attributed to PPC as it was the last piece of marketing they clicked before converting. A good way to view a customers journey is to use Google think, an excellent tool to understand how certain acquisition channels assist conversions in your industry and how the length of the customer journey impacts the final sale.

The clicks and impressions achieved via display, social media and email marketing must have aided the conversion to some extent so we need a way to analyse that and see how they form part of the sale. We do this by observing our data through multiple attribution models and deciding which works best for the data available. Other models include (Phillips, J. 2014):

  • First click – where the entire value of the sale is attributed to the first piece of marketing in the conversion path
  • Linear – where value is evenly attributed across every element of digital marketing in the conversion path
  • Time decay – where more value is given to the most recent piece of marketing to the final conversion and consecutively less to the rest of them with the least being the piece of marketing furthest from the conversion
  • Position based – where value is attributed based on position of the marketing. For example more value is attributed to the first and last interaction in the conversion path than those in the middle

However, the point is not to choose the best model and stick with it, but rather to use all of the models to gain an insight into the conversion path and then efficiently weight digital marketing spend based off of these decisions.

Are there downsides to Attribution Modelling?

Attribution modelling can’t answer all of our digital marketing needs exactly and generate the perfect model of where digital marketing budget should be spent. Kaushik, A. (2013) says that “A lot of that [problems with attribution modelling] is because of all the stuff we don’t know. There is lots of missing data. And as if that were not enough, there is lots of unknowable data”. This suggests that there is only a certain level of efficiency in this current digital climate that can be reached.

On top of this, firms rarely put all of their money into digital marketing. Offline marketing can’t (yet) be attributed to individuals and linked back to their online activity. This allows potential for other marketing channels to impact the online journey of the user and thus skew results of their online consumer path.

Conclusion

In conclusion, a successful attribution modelling system can help a company generate a more refined digital marketing strategy, aiming toward a maximised return on investment across all digital marketing channels. A lack of information may make it impossible to generate a perfect model that tells a firm precisely how their money should be spent, but using a window with multiple models allows for a more efficient budget allocation. This shows us that no single model is better than the sum of them all combined.

References:

Banasiewicz, A (2013). Marketing Database Analytics: Transforming Data for Competitive Advantage. New York: Routledge. p3.

Fifield, P (2008). Marketing Strategy Masterclass: Making Marketing Strategy Happen. Hungary: Elsevier. p203.

Kaushik, A. (2013). Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models. Available: http://www.kaushik.net/avinash/multi-channel-attribution-modeling-good-bad-ugly-models/. Last accessed 12th April 2016.

Phillips, J (2014). Building a Digital Analytics Organization: Create Value by Integrating Analytical Processes, Technology, and People into Business Operations. New Jersey: Pearson. p157.

Ryan, D (2014). Understanding Digital Marketing: Marketing Strategies for Engaging the Digital Generation. London: Jellyfish. p77.

Schönhoff, A (2014). Does Multi-stage Marketing Pay?: Creating Competitive Advantages Through Multi-stage Marketing. Berlin: Springer Gabler. p25.