Programmatic buying is sometimes a complicated topic, but DR THOMAS OOSTHUIZEN, Global Consulting Director at Acceleration UK, breaks it down into ten easy to follow steps.
The most important issue when dealing with programmatic buying is to be aware of algorithm bias. As data sources and points grow, this problem will decrease. But in most statistical techniques, the most salient data points often dominate and will continue to do so. We have to design to avoid this.
Pure common sense will tell us that as long as some marketers have more resources than others, “average” algorithms will benefit the large and jeopardise the small. This means that, even in algorithms, creative thinking is important. One size will not fit all.
Here are some tips to ensure maximum benefit from data-based algorithmically driven buying:
1. Know your product or service category
We need to understand whether our category is growing fast, maturing or declining? Different conditions and requirements come into being once a category develops from a fast-growing initial phase into a mature condition.
2. Is the market saturated?
In a saturated market we need to look for niche segments that will enable wider expansion? To do so, we need to find out who these consumers are. Once we have done so, we need to understand how to expand the algorithm to enable us to identify and target them.
3. If growing, differentiation is less important.
However, if the segment or category is not growing differentiation is key. We need to discover what are the signals that will enable the algorithm to detect these variations. Without this, our brand will simply fall into the trap of algorithm “same-ness”, where less is, in fact, less.
4. Is our brand a leader or a challenger?
Leading brands can leverage all the economies they can access. However, smaller brands need to work far harder at being different.
5. Is our brand properly differentiated?
If so, how? This may include features, benefits, emotions, personality types, symbols, words, statements, slogans, colours, iconography and communities. It’s clear that a small brand will have a vastly different profile than a smaller one. Hence, using the same algorithms a large brand uses is simply a waste of money. We then need to build in bias our differentiation “bias” so that it becomes a focused tool.
6. Are results declining over time?
If so, why? Can a changed algorithm assist or does the problem lie outside of that? It’s always tempting to constantly adjust algorithms, but we need to be aware that the problem may be something completely unrelated. Keeping an open mind is crucial when working at a granular level.
7. Can we segment algorithm groups?
If so, can we learn more about what separates algorithms that are greater or lesser predictors of sales results? Understanding how they explain a category is very useful, particularly when this is a significant factor in planning exposure.
8. Can we build in “bias”?
Our algorithms need to contain enough granularity that we are able to fine-tune them to match whatever it is that differentiates us. By following trendsetters or up-weighting data from groups that demonstrate differences we can build this necessary “bias” into our algorithms.
9. Can we test different options and assess results?
This is usually resource-dependent. The fewer resources we have, the more we will have to rely on testing to provide the data we need.
10. Can we expand diversity?
If so, will the incrementally deeper and more creative messaging give us an above average return on investment?
This is by no means an exhaustive checklist, but by applying these tips we will be able to apply our programmatic buying algorithms more effectively.
Second-hand smartphone market booms
The worldwide market for used smartphones is forecast to grow to 332.9 million units, with a market value of $67 billion, in 2023, according to IDC
International Data Corporation (IDC) expects worldwide shipments of used smartphones, inclusive of both officially refurbished and used smartphones, to reach a total of 206.7 million units in 2019. This represents an increase of 17.6% over the 175.8 million units shipped in 2018. A new IDC forecast projects used smartphone shipments will reach 332.9 million units in 2023 with a compound annual growth rate (CAGR) of 13.6% from 2018 to 2023.
This growth can be attributed to an uptick in demand for used smartphones that offer considerable savings compared with new models. Moreover, OEMs have struggled to produce new models that strike a balance between desirable new features and a price that is seen as reasonable. Looking ahead, IDC expects the deployment of 5G networks and smartphones to impact the used market as smartphone owners begin to trade in their 4G smartphones for the promise of high-performing 5G devices.
Anthony Scarsella, research manager with IDC’s Worldwide Quarterly Mobile Phone Tracker, says: “In contrast to the recent declines in the new smartphone market, as well as the forecast for minimal growth in new shipments over the next few years, the used market for smartphones shows no signs of slowing down across all parts of the globe. Refurbished and used devices continue to provide cost-effective alternatives to both consumers and businesses that are looking to save money when purchasing a smartphone. Moreover, the ability for vendors to push more affordable refurbished devices in markets in which they normally would not have a presence is helping these players grow their brand as well as their ecosystem of apps, services, and accessories.”
Worldwide Used Smartphone Shipments (shipments in millions of units)
|Rest of World||136.8||77.8%||245.7||73.8%||12.4%|
Source: IDC, Worldwide Used Smartphone Forecast, 2019–2023, Dec 2019.
Table Notes: Data is subject to change.
* Forecast projections.
Says Will Stofega, program director, Mobile Phones: “Although drivers such as regulatory compliance and environmental initiatives are still positively impacting the growth in the used market, the importance of cost-saving for new devices will continue to drive growth. Overall, we feel that the ability to use a previously owned device to fund the purchase of either a new or used device will play the most crucial role in the growth of the refurbished phone market. Trade-in combined with the increase in financing plans (EIP) will ultimately be the two main drivers of the refurbished phone market moving forward.”
According to IDC’s taxonomy, a refurbished smartphone is a device that has been used and disposed of at a collection point by its owner. Once the device has been examined and classified as suitable for refurbishment, it is sent off to a facility for reconditioning and is eventually sold via a secondary market channel. A refurbished smartphone is not a “hand me down” or gained as the result of a person-to-person sale or trade.
The IDC report, Worldwide Used Smartphone Forecast, 2019–2023 (Doc #US45726219), provides an overview and five-year forecast of the worldwide refurbished phone market and its expansion and growth by 2023. This study also provides a look at key players and the impact they will have on vendors, carriers, and consumers.
Customers and ‘super apps’ will shape travel in 2020s
Customers will take far more control of their travel experience in the 2020s, according to a 2020 Trends report released this week by Travelport, a leading technology company serving the global travel industry.
Through independent research with thousands of global travellers – including 500 in South Africa – hundreds of travel professionals and interviews with leaders of some of the world’s biggest travel brands, Travelport uncovered the major forces that will become the technology enablers of travel over the next decade. These include:
Customers in control
Several trends highlight the finding that customers are moving towards self-service options, with 61% of the travellers surveyed in South Africa preferring to hear about travel disruption via digital communications, such as push notifications on an app, mobile chatbots, or instant messaging apps, rather than speaking with a person on the phone. This is especially important when it comes to young travellers under 25, seen as the future business traveler, and managing their high expectations through technology.
With the threat of super app domination, online travel agencies must disrupt or risk being disrupted. Contextual messaging across the journey will help. Super app tech giants like WeChat give their users a one-stop shop to communicate, shop online, book travel, bank, find a date, get food delivery, and pay for anything within a single, unified smartphone app. Travel brands that want to deliver holistic mobile customer experiences need to think about how they engage travellers within these super apps as well as in their own mobile channels.
In the next year, research shows, we will see an accelerated rate of change in the way travel is retailed and purchased online. This includes wider and more complex multi-content reach, more enriched and comparable offerings, more focus on relevance than magnitude, and an increase in automation that enables customer self-service.
“How customers engage with their travel experience – for instance by interacting with digital ‘bots’ and expecting offers better personalised to their needs – is changing rapidly,” says Adrian Roodt, country manager for Southern Africa at Travelport. “We in the travel industry need to understand and keep pace with these forces to make sure we’re continuing to make the experience of buying and managing travel continually better, for everyone.”
Read the full 2020 Trends report here: 2020 Trends hub.