Posts

“Smart” Data Can Help You Align Marketing and Sales

Sales and marketing team alignment is more important than ever! Our partner Hubspot reports that companies that get marketing and sales working together not only generate 208% more revenue from their marketing efforts – but they see 36% higher customer retention and 38% higher sales win rates.

Where does data fit into this alignment? Capitalizing on customer intelligence and making insights and clean data available to Sales can lead to a more efficient and effective process that can motivate and fire up your sales teams. Get started by using these analytical techniques:

Create Common Sales Cycle Definitions Across Marketing and Sales

Your sales team lives and dies on what they call leads, but Marketing might have a very different definition. Adopt a common language for each stage and definition of the sales cycle. Whether you use Prospects, Inquiries, Marketing Qualified Leads (MQLs), Sales Accepted Leads (SALs) and Sales Qualified Leads (SQL) or some other set of opportunity ratings, collaborate to define each stage across Sales and Marketing –so you can all start working towards the same goals, and be able to understand each other’s measurements.

Data Dirty? Build the Case to Invest in Clean Data
Both sales and marketing hate dirty data – but how much revenue is it costing your company? Build some scenarios for better demand generation and increased close rates with better data – you’d be surprised how much lost revenue can be picked up with just a lift of 5%!

Here are some ideas for the metrics you might use:

 

Add a Score to Your Leads

Nothing will kill Marketing’s demand generation credibility faster than a bunch of unqualified leads being sent to the Sales team. Sales probably shouldn’t make a call until you know there is a budget and a timeline. Maybe lower cost sales channels like email or outbound telemarketing can be used to collect the missing data before a lead reaches an acceptable score. Alignment on the meaning of a “good lead” can really reduce friction and time to close.

Build a Common Definition of Your Segments – and Assign all Prospects and Customers

Building personas for web development won’t help the sales team much if they never see those types in the market place. Find real customer segments that purchase in distinct ways, and help the sales teams craft a USP for each segment that will give them a better shot at creating opportunities. Then, make sure each prospect and customer is assigned to a segment so sales can put that messaging to work on the ground.

Find Your Territory Gaps

Use your customer and prospect data to find the holes in territory maps where you have low coverage but high potential. You can often pull much more opportunity out of an area with better or more salespeople. Marketing often has the data to help make these decisions, but Sales is the team that needs to make decisions about coverage.

Use Purchase Likelihood Scores for Call Center Targeting

Outbound phone calls are not inexpensive and turnover in telesales can be high. Invest in reaching only the highest priority prospects by using predictive model scores in your call center. Focusing calling from the top down – best to worst prospects. This should cut the calls needed, improve team morale, and increase the success rate significantly.

Your marketing team should be able to add these types of smart data to customer and prospect records – and both Marketing and Sales can get aligned around your target and your critical asset – your data.

5 Ways to Take Your Marketing Measurement to the Next Level

Smart marketers have the luxury (and challenge!) of using more technologies and measurement tools than ever before, allowing us to project results and profitability, and look at customer and prospect behavior from different angles. While this should allow optimization like never before, campaigns are still often run “one-off,” with no more testing or optimization than before the MarTech boom. Habitually driven by short-term demands and the need to be responsive to quick changes in the markets, we often neglect to take the long view on marketing measurement to pursue long-term campaign improvement.  If you’re looking to boost your performance, it’s important to take a look at what drives your ROI and how to effectively develop actionable insights and optimize your marketing performance over time.

A few strategies to consider:

1. Get Alignment on your most important measure of success
Find one or two key measures (e.g., new customers acquired, incremental revenue growth, retained customers, etc.) and make sure each of your marketing efforts are designed to drive results that can prove out success for those specific measures.

2. Create a measurement template for every campaign – and stick to it
Determine how results will be measured and create a measurement template that can be repeated in all your campaigns – how does the response work, who is responsible for measuring and reporting on it, how does the information get into a centralized format, what is the next interaction after the initial response, etc. The more you standardize measurement, the less you have to figure out in the heat of the battle.

3. Standardize Closed-Loop Campaign Measurement
Track your marketing efforts all the way to the sale with sophisticated databases and ecommerce platforms, loyalty programs and smarter data matching. Create a consistent measurement template so ongoing reporting will be easier and have the ability to become standardized.  Rely on benchmarks to compare from campaign to campaign so you’ll be able to innovate more easily to boost results.

4. Create a Roadmap for Enhancing Your Marketing Measurement Methods
As you innovate and take advantage of new technologies (e.g. beacons) and/or new data sources (like machine data) your marketing measurement will also need to evolve over time. As you innovate, keep your focus on your key metrics for success. Plan to continuously enhance your measurement methods with the new data to determine the real impact of those innovations. Don’t forget to budget for updates to your database and the design of new measurement methods.

5. Create a Three Year Learning Plan
Often a “point-in-time” campaign analysis misses the big picture. Effectively monitor and evaluate the impact of your efforts over time by setting learning goals that can be tested and proved out over multiple waves of your initiatives. Build long term testing into every effort to keep trying to beat the benchmarks for your most key measures of success.

If you’re under pressure to improve marketing results, these five best practices can improve your operations and drive to optimize. We invite you to take the next step to change your marketing processes to get to repeatable improvements in your marketing ROI.

Is Your Data Solution Enough?

Scanning the headlines of the advertising and marketing trade press, it’s obvious that the marketing services industry is adept at keeping up with and pushing new trends in media, channel integration, and new marketing technologies. From conversations we have with many of our clients and agency partners it seems that many agencies struggle with what could be the industry’s most important challenge for the future; the need to understand and grapple with the mountains of data our clients want to use to achieve their business goals. Many agencies have put their toe in the water with data analysis and management — but is it enough?

Compounding this challenge is the continuing explosion of tech providers to fill in every white space in the marketing landscape. Each of these players is helping to drive the overwhelming amount of ‘Big Data’ that’s washing over the marketing landscape. Many of these tools are intended to allow us to optimize marketing spends and let individuals see unique messaging across a brand’s owned, earned and paid channels – but they end up creating even more silos of confusing data.

Today, working with client data as well as third party consumer information are essential skills for any agency seeking to build a successful brand. By offering effective data analytics and customer insights, agencies who can no longer keep their clients based on their creative ideas alone are able to productively drive business outcomes and effect corporate direction – making their agency / client relationships more valuable.

Client expectations are increasing every day, and keeping up with the demands of real time, data-driven marketing that resonates with their audiences and drives results requires a re-think about data and analytics. Once considered a luxury add on to basic agency services, these analytics and insights have become a necessary component in a brand’s overall marketing plans, most importantly in customer acquisition and growth strategies.

As a result, tech and data-focused agencies are increasingly in high demand. In a survey conducted by eMarketer, 75% of senior marketers surveyed said an agency with marketing data and analytics capabilities would be a deciding factor in agency selection.

Agencies now understand that in addition to their existing capabilities, data and analytic capabilities must be part of their solution. Today, clients expect their agency’s to leverage data successfully to advance the success of their brands. Once more agencies have successfully integrated stronger data and analytics skills they will be better equipped to be the marketing partner brands want and need.

Whether you build, or partner–flexing your data muscles will make your agency/client relationship stronger and more strategic.

So, what’s your data solution?

Partner with a data analytics firm that has depth at data science, best-in-class data tools, and the data governance and environment to integrate, manage, analyze, enrich, and ultimately construct actionable outcomes for your data – effectively building the strongest and most successful brand strategies.

Act now.