A review of the curious, strange and odd from users of SwiftERM in 2018.

Sophisticated shoppers

It’s been an enlightening year for users of our predictive analytics app SwiftERM, with its fair share of anomalies and peculiarities unique to this rather exclusive additional revenue stream. But here at Swift HQ, we are far from complacent about our place in the global ecommerce market and strive to perpetually improve. It is from the below observations that we hope to concentrate our greatest efforts for next year.

  1. Additional revenue stream identified.
  2. Returns delivering perpetual growth.
  3. Lowest unsubscribe rate.
  4. Peculiar loyalty experienced.
  1. Additional revenue stream. When this SaaS is first introduced to an ecommerce retailer or their developers, it has been a traditional experience to put it in the same pidgeon-hole as either ESPs or common email marketing software, like Mailchimp, Dotmailer, Bronto etc. The rancour and irritation that there is a distinction appear to take a little time to be appreciated, and we are making the best efforts possible to highlight this differential despite the reticence of our audience. Luckily the tide appears to be turning, and more and more retailers are spotting the gap between what they promote and what the consumer wants to buy, and that they are not necessarily the same. Therefore a tool to specifically address this chasm in traditional ecommerce marketing is a useful addition.
    Predictive analytics for ecommerce
  2. Returns delivering perpetual growth. Predictive analytics by its very nature involves learning about the consumer. In our case as an individual. Without exception, once the app is installed, and is up and running, every retailer has seen their returns grow steadily and perpetually. An almost linear line heads northward. This trend has been a pretty constant increment and almost identical across all verticals. We perceive there are a variety of reasons, a typical initial 7-8% of additional turnover delivered, grows steadily throughout the year to substantially higher. Petfoods in one instance grew by over 19% of their entire previous year’s online turnover. Fashion grew exponentially and the distinction in the emails delivered, ours are not promotional or marketing emails focused the attention of the recipients on the product rather than any accompanying fanfare. When first installed, there is no impression data captured, not something available from the platforms either, all we have to go on is buying history, which is then applied unilaterally across everyone. Then slowly, but significantly, as each consumer visits the data on personal interest is captured, it climbs. The emails become increasingly personalised and exclusive to each individual consumer, and they obviously appreciate the distinction by increasing spending more, repeat visits with perpetual click-through with each email.
    Predictive analytics for ecommerce
  3. Lowest unsubscribe rate. A strange peculiarity identified in 2018 was that typical marketing email software (such as from system such as those identified above), had a phenomenally higher unsubscribe rate than SwiftERM. A variety of studies into this, across a range of verticals, showed no reason or justification, which is really odd. Shoppers unsubscribed from discount offer emails, sale emails, product launch emails but not from our the perpetual format of products identified for their taste. The design background to SwiftERM emails is explained here, and again it has underlined that the care and attention which went into it, in the first place, still remains good today. The average unsubscribe rate for 2018 was 10% of all users at launch, but this is somewhat skewed as many of our users have not been able to offer email marketing before due to prohibitive staff overheads of using other systems. The average database increase year on year of new subscribers across all verticals was 20%, this included the unsubs figures. That SwiftERM is 100% automated allows it to be installed and forgotten, but the consequence being that many shoppers forgot that they nominated to receive emails at check-out in the first place and had not previously had an opportunity to unsubscribe. Therefore the more accurate figure is the subsequent unsubs rate of just 4% p.a, and it is this distinction that should be significant to ecommerce managers, as this figure remains perpetual and constant with little variation for all SwiftERM users. Clients we have spoken to hardly believe it can be so low, as they are used to significantly higher numbers from their email marketing stats. Retailers using our software in conjunction with other email software are staggered that consumers would unsubscribe from one database and not the other.
    Predictive analytics for ecommerce
  4. Peculiar loyalty experience. A strange phenomenon was identified this year for the first time, to do with loyalty, and we’re not sure whether the loyalty is to our emails, the specific client, a rebellion of other types of emails or just to the whole aspect of the consumer’s SwiftERM experience. To explain this oddity we must first explain that when it is first installed we start by sending just one or two emails each month. As time progresses this typically slides away to just one each month. The reason is that the repeat rate is dictated by visits to the site. If the consumer doesn’t click on the email the repeat rate drops, if they do click, then it increases. Therefore CTR dictates repeats and naturally falls slowly. (This excludes abandon triggered emails, and should be excluded on this point). What happened was, and we refer specifically to verticals where consumers buy the same or similar products regularly, i.e. food, wine and petfood particularly, we have seen the emails used as a reminder to purchase. A big percentage of shoppers have taken to relying on the emails to jog their memory to buy particular products each month. They actively put off buying, consciously or otherwise, until the email comes in to jog their memory. It has not only increased turnover, but it has tremendously increased loyalty.
    Predictive analytics for ecommerce
    Predictive analytics for ecommerce
    SwiftERM remains free to try for a month for all interested ecommerce retailers, so you can validate that it works for you. Sceptics, of course, will continue to ignore the distinction and assume it is being addressed by existing software. For those who appreciated the distinction and joined our ranks this year thank you, we are glad to have had you with us during 2018 and look forward to delivering the figures enjoyed into the new year with you. For those still pondering, this golden opportunity awaits.