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19 questions to marketing attribution and predictive analytics vendors during a demo

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19 questions to marketing attribution and predictive analytics vendors during a demo

With marketers facing increasing pressure to demonstrate the value of the budget they’re allocated for programs, marketing attribution and predictive analytics solutions are tailor-made for proving how tactics and media channels contribute to the bottom line.

Given all of that promise, marketers are certainly evaluating these technologies and one crucial part of that process is the demo. It’s important to set up demos within a relatively short time frame of each other to help make relevant
comparisons.

Make sure that all potential internal users are on the demo call, and pay attention to the following:

  • How easy is the platform to use?
  • Does the vendor seem to understand our business and our marketing needs?
  • Are they showing us our “must-have” features?

Know how your customers interact with your advertising today and into the future. Explore the platforms essential to predictive analytics and marketing attribution in the latest edition of this MarTech Intelligence Report.

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Here are 19 questions to ask each vendor that will help you narrow the field:

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  • What platform hosting options are available (SaaS/cloud/on premise)?
  • What are my options in terms of attribution modeling? Is there a set-in-stone pre-set formula or can I customize it based on my own priorities?
  • How do clients typically staff and manage the day-to-day operations of the tool? Do I need dedicated data scientists, or what level of expertise is needed to get the full benefit of the system?
  • What different kinds of data are available for integration and for appending? Does the vendor specialize in a particular channel, vertical or campaign objective?
  • How does the platform ingest and manage offline marketing data?
  • How does the platform monitor integration success and/or failures, and report on data variances or anomalies?
  • How does the platform handle connectors and integrations with outside martech systems? Are your “must have” integrations rock solid?
  • What is the system’s approach to integrating with the specific martech and ad tech systems that your company uses? Just because a connector exists doesn’t mean it will necessarily work for your organization and how you use that third-party platform.
  • How does the platform employ machine learning for data analytics, such as predicting customer trends and patterns?
  • Does the platform connect directly with execution systems so that you can quickly act on insights to tweak in-flight campaigns?
  • What data security regulations does the platform comply with?
  • What data security certifications does the platform have?
  • Can we pay the software license month-to-month? Or is an annual contract required? Is there a short-term contract or an “out” clause if things don’t work out?
  • Will there be a price increase when I renew next year — if so, how much?
  • What are the additional fees? (i.e., set-up costs, add-on features, API, quotas)?
  • How long is the onboarding process typically? Will we have a dedicated resource? Who will be the day-to-day contact?
  • What is the level of support included in the price? What support is additional?
  • Who pays if your system/team makes an error?
  • Will our support team work with us to test new features and assess the results?

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Marketing attribution and predictive analytics: A snapshot

What it is. Marketing attribution and predictive analytics platforms are software that employ sophisticated statistical modeling and machine learning to evaluate the impact of each marketing touch a buyer encounters along a purchase journey across all channels, with the goal of helping marketers allocate future spending. Platforms with predictive analytics capabilities also use data, statistical algorithms and machine learning to predict future outcomes based on historical data and scenario building.

Why it’s hot today. Many marketers know roughly half their media spend is wasted, but few are aware of which half that is. And with tight budgets due to the economic uncertainty brought about by the COVID-19 pandemic, companies are seeking to rid themselves of waste.

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Attribution challenges. Buyers are using more channels and devices in their purchase journeys than ever before. The lack of attributive modeling and analytics makes it even more difficult to help them along the way.

Marketers continuing to use traditional channels find this challenge magnified. The advent of digital privacy regulations has also led to the disappearance of third-party cookies, one of marketers’ most useful data sources.

Marketing attribution and predictive analytics platforms can help marketers tackle these challenges. They give professionals more information about their buyers and help them get a better handle on the issue of budget waste.

Read Next: What do marketing attribution and predictive analytics tools do?


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About The Author

Does your marketing team need a digital experience platform DXP

Pamela Parker is Research Director at Third Door Media’s Content Studio, where she produces MarTech Intelligence Reports and other in-depth content for digital marketers in conjunction with Search Engine Land and MarTech. Prior to taking on this role at TDM, she served as Content Manager, Senior Editor and Executive Features Editor. Parker is a well-respected authority on digital marketing, having reported and written on the subject since its beginning. She’s a former managing editor of ClickZ and has also worked on the business side helping independent publishers monetize their sites at Federated Media Publishing. Parker earned a master’s degree in journalism from Columbia University.


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MARKETING

Trends in Content Localization – Moz

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Trends in Content Localization - Moz

Multinational fast food chains are one of the best-known examples of recognizing that product menus may sometimes have to change significantly to serve distinct audiences. The above video is just a short run-through of the same business selling smokehouse burgers, kofta, paneer, and rice bowls in an effort to appeal to people in a variety of places. I can’t personally judge the validity of these representations, but what I can see is that, in such cases, you don’t merely localize your content but the products on which your content is founded.

Sometimes, even the branding of businesses is different around the world; what we call Burger King in America is Hungry Jack’s in Australia, Lays potato chips here are Sabritas in Mexico, and DiGiorno frozen pizza is familiar in the US, but Canada knows it as Delissio.

Tales of product tailoring failures often become famous, likely because some of them may seem humorous from a distance, but cultural sensitivity should always be taken seriously. If a brand you are marketing is on its way to becoming a large global seller, the best insurance against reputation damage and revenue loss as a result of cultural insensitivity is to employ regional and cultural experts whose first-hand and lived experiences can steward the organization in acting with awareness and respect.

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How AI Is Redefining Startup GTM Strategy

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How AI Is Redefining Startup GTM Strategy

AI and startups? It just makes sense.

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More promotions and more layoffs

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More promotions and more layoffs

For martech professionals salaries are good and promotions are coming faster, unfortunately, layoffs are coming faster, too. That’s according to the just-released 2024 Martech Salary and Career Survey. Another very unfortunate finding: The median salary of women below the C-suite level is 35% less than what men earn.

The last year saw many different economic trends, some at odds with each other. Although unemployment remained very low overall and the economy grew, some businesses — especially those in technology and media — cut both jobs and spending. Reasons cited for the cuts include during the early years of the pandemic, higher interest rates and corporate greed.

Dig deeper: How to overcome marketing budget cuts and hiring freezes

Be that as it may, for the employed it remains a good time to be a martech professional. Salaries remain lucrative compared to many other professions, with an overall median salary of $128,643. 

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Here are the median salaries by role:

  • Senior management $199,653
  • Director $157,776
  • Manager $99,510
  • Staff $89,126

Senior managers make more than twice what staff make. Directors and up had a $163,395 median salary compared to manager/staff roles, where the median was $94,818.

One-third of those surveyed said they were promoted in the last 12 months, a finding that was nearly equal among director+ (32%) and managers and staff (30%). 

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Extend the time frame to two years, and nearly three-quarters of director+ respondents say they received a promotion, while the same can be said for two-thirds of manager and staff respondents.

Dig deeper: Skills-based hiring for modern marketing teams

Employee turnover 

In 2023, we asked survey respondents if they noticed an increase in employee churn and whether they would classify that churn as a “moderate” or “significant” increase. For 2024, given the attention on cost reductions and layoffs, we asked if the churn they witnessed was “voluntary” (e.g., people leaving for another role) or “involuntary” (e.g., a layoff or dismissal). More than half of the marketing technology professionals said churn increased in the last year. Nearly one-third classified most of the churn as “involuntary.”

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Men and Women

Screenshot 2024 03 21 124540Screenshot 2024 03 21 124540

This year, instead of using average salary figures, we used the median figures to lessen the impact of outliers in the salary data. As a result, the gap between salaries for men and women is even more glaring than it was previously.

In last year’s report, men earned an average of 24% more than women. This year the median salary of men is 35% more than the median salary of women. That is until you get to the upper echelons. Women at director and up earned 5% more than men.

Methodology

The 2024 MarTech Salary and Career Survey is a joint project of MarTech.org and chiefmartec.com. We surveyed 305 marketers between December 2023 and February 2024; 297 of those provided salary information. Nearly 63% (191) of respondents live in North America; 16% (50) live in Western Europe. The conclusions in this report are limited to responses from those individuals only. Other regions were excluded due to the limited number of respondents. 

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Download your copy of the 2024 MarTech Salary and Career Survey here. No registration is required.

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