Most companies can expect the inevitable, 10-20% YoY attrition of existing buyers. But under pandemic circumstances, businesses can’t risk any additional loss furthermore making “the customer experience” an important area of scrutiny. Join us on Thursday, June 11th at 3:00 PM ET as we cover the specific data points needed to predict at-risk-buyers and improve CX.
Watch the on-demand, 30-minute recorded webinar, “Multi-touch Attribution and Measuring Your Marketing Halo,” as MarketBridge analytics leaders Andy Hasselwander and Brice Chaney synthesize 20+ years of multi-channel attribution experience. Get best practices on integrating direct response measurement and econometric modeling to understand which channels drive demand—even for long-sales cycles and complex products and services.
Multi-touch attribution is critical for marketers who want to truly understand ROI of their various channels. While the term “MTA” is en vogue right now, this has been a problem for marketers for a long time. In the 1960s, television advertising might be driving some proportion of sales at retail, but no one knew how much. To solve this problem, statisticians used the tools of econometrics to build regressions…
Over decades of evolution, companies have developed multiple sales and marketing channels and have placed high importance on measuring each channel’s ROI. But, ROI-tunnel vision has led companies to focus their efforts on channels that are more easily measured, while channels with harder-to-measure success dwindle.
Achieving the optimal marketing mix is challenging, especially for B2B businesses. Top- and bottom-funnel investments, like brand building, demand generation and sales enablement, pay off at different rates and in different ways and need to be adjusted based on growth goals. There are three key inputs to optimize your marketing mix:
Our nine requirement guide for financial services companies to build effective and scalable cross-selling programs.
Marketing analytics is a broad, “meta” field, combining elements of marketing strategy, data science, database management, digital technology, primary research, and psychology, to name a few. To help explain what it is, we’ve created this taxonomy of marketing analytics—a “family tree”—that breaks the field down from high-level to more detailed. The taxonomy has four levels […]
Getting Back to Growth by Playing Small Ball The ADBUDG curve is a 40-year old handy heuristic for modeling marketing spend vs. return. It was first used for broad-reach advertising. The concept is pretty simple: The curve starts out flat, as dollars are invested to get breakthrough with a group of consumers Then, the curve […]
For all of the talk around one-to-one marketing, human beings still need frameworks to understand their world, and marketers are no exception. The word “segmentation” might be ubiquitous among marketers, but it’s difficult to find two people who can agree on what segmentation really means and how they become actionable segmentations. That being said, sales […]
Realistically, most data science is heads-down, unpredictable activity. Typically, a data scientist is given an objective, such as “tell me the part-worth of TV in my advertising mix”, or “come up with a classifier to put a lead into the correct segment,” and has to figure out how to solve the problem with a vast […]