Retargeting

Highly stylized displays, prestigious high street locations, exclusive experiences, up close and personal sales assistance… the „established norms” of the luxury goods industry simply don’t fit into a post-pandemic world. And yet, after a challenging time in early 2020, many luxury brands are now embracing ecommerce as the first touchpoint for customers in their digital marketing strategies. They are finding ways to effectively communicate brand value in the digital space in the same way as they do in the offline world and are starting to replicate the personalized, curated experiences that buyers expect.

Online purchases now account for approximately 20% of all fashion sales, and potential customers can engage with your brand across multiple channels. This constant communication has transformed the way fashion ads are delivered to customers and greatly expanded the potential for personalization.

The world is opening up again and people are hungry for new and unique travel experiences. There is cautious optimism in the industry; however, the effects of the pandemic are still keenly felt in marketing budgets. OTAs and other travel industry players need to spend money wisely on digital campaigns and make the most of the opportunities that are presenting themselves. Read more about OTAs marketing.

How can Deep Learning boost own-site sales for electronics brands?

1. There are a number of challenges that electronics brands face when encouraging customers to use own-site channels.
2. The first is the popularity of comparison sites, that typically push customers into a “price-first” mindset.
3. The second is the fact that telecoms providers typically provide a phone as part of their subscription contract.
4. This means that electronics manufacturers are forced to take a loss paying a commission to third-party sales platforms, when they could increase their margins through sites they own and operate.
5. To promote own-site sales, electronics manufacturers must showcase the benefits of a direct purchase, including improved warranties and customer support.
6. Deep Learning powered marketing techniques make it possible to target users most likely to be receptive to this message, maximizing the impact of each campaign.

We’ve previously discussed why retargeting should play an important role in any marketing campaign, and today, we’d like to discuss one of the biggest retargeting myths: That a single provider is better than multiple retargeting providers.

The argument about whether you should use a multiple or singular retargeting strategy, is the source of many “spirited” discussions amongst the more geeky circles at marketing conventions, especially once the drinks start flowing at the post-convention parties.

Retargeting is one of the most powerful marketing tools in any brand’s arsenal, but building an effective retargeting campaign is as much an art as it is a science. To maximize the effect of their retargeting campaign, clients naturally want data that proves a retargeting provider is worth their salt. To do this, many companies rely on incrementality testing.

This makes sense, as incrementality testing is considered the gold standard for good reason. However, they are not a catch-all solution. They aren’t cheap to run, and without a dedicated analytics team to interpret the results, companies can end up spending money on a test they can’t interpret.

Let’s take a deep dive into incrementality testing, see how it works, and what you need to run one.