When a soft drinks manufacturer was confronted with increasing out-of-stock levels, they made it their top priority to fix the situation. They asked Roamler for help in determining which SKUs were affected at which times and which stores. By visiting a wide range of locations at designated times, Roamler was able to pinpoint the critical SKU's in combination with time and locations. This provided the crucial input for the manufacturer.
A Frozen Goods manufacturer was about to launch an important ATL campaign in support of some new packaging. But before that, the manufacturer wanted to make sure that distribution had reached a viable level.
Roamler was asked to look at the new packaging product presence. Following a sample measurement of eight retailers, it became clear that certain items in the new range were under-represented, and the client was able to delay some components of the campaign.
By responding to actual in-store conditions, the client saved unnecessary expense, and the focused relevance of the campaign materials in combination with the higher sales uplift led to an increase in ROI for the entire campaign.
A beverage manufacturer wanted to know the impact of a new shelf plan within their product category. Firstly, they commissioned an Out of Stock analysis prior to the changes, and compared this with the results after the plan's implementation.
In carrying out the analysis, Roamlers generated close-up pictures of all the empty spots on the shelf over a two-week period. Roamler then analysed and organised the photos into quantifiable data, creating a clear before-and-after picture of product availability.
As an important part of their sales strategy, a coffee manufacturer participated regularly in retailer leaflet promotion. This client decided it wanted to evaluate the in-store execution of these promotions, in order to identify any areas for improvement.
Roamler was able to give insights into the execution of the promotion by measuring elements such as promotion communication, 2nd placement and product availability. By comparing the actual execution quality with historical data and other promotions, Roamler was able to find areas of weakness. The client, on receiving the analysis, was able to work with the retailers to strengthen the execution of the promotion, raising execution performance quality from 6.2 to more than 8 in less than a year, and boosting sales as a result.
A major beer company was launching a new product at a small group of select stores. The company was interested in finding out which promotional materials were being displayed storewide and how products were displayed on the shelves. Over the ten-week promotion, Roamler made bi-weekly visits to all the stores, collecting data and confirming it with photographic evidence.
Using this data, the beer company was able to establish which promotional materials worked best for its sales lift, and this knowledge was used to support decision-making during the national roll-out of the new product.
A retailer announced a substantial and lengthy price promotion for approximately 25 of its fast-moving products. A manufacturer of some of those products wanted to know how other retailers would respond to this strategy and asked Roamler to investigate. Twice a week for a month, Roamler visited different stores, covering a total of 15 retail chains, and reported the prices they found, giving the manufacturer a clear picture of how retailers were reacting and greater insight into retail pricing strategies.
A manufacturer of snacks was disappointed with results after developing and implementing a new shelf plan. To boost performance, the client wanted to execute a new action plan based on actual in-store conditions.
Roamler visited 95% of the retailer universe to see how the real situation compared with the plan, and discovered that the fast-moving products were not positioned as per the agreement, and consequently shoppers weren't able to find them. Once this was corrected, a substantial sales boost was achieved.
To support their sales data during a particular promotion period, a manufacturer asked Roamler to find out how much shelf space both their brands and competing brands had been given during secondary placing promotions.
Weekly visits were conducted to smaller and larger stores, and photos were taken of the relevant promotional shelves. After each visit, the shelf space allotted to each brand was determined and compared with previous visits, letting the manufacturer know how retailers divided shelf space among brands during promotions. Using this data, the manufacturer was able to arrange with the retailers to adjust the shelf space for optimal execution.
A large fast-food chain commissioned Roamler to visit their franchises to see whether franchise personnel were meeting the chain's high customer standards and to evaluate overall hygiene levels.
Roamlers posing as customers went to various franchise locations and experienced customer service first-hand. At the same time, they took the opportunity to look for any issues with hygiene, and to take discreet photos to be shared with the chain's Head Office. As a result, improvements were made in both areas.
As an important part of a new company strategy, a chain of clothing stores decided to focus on improved customer satisfaction levels. In order to establish a baseline from which to improve, the company asked Roamler for qualitative and quantitative insights into the situation as it stood.
Mystery shopper Roamlers carried out visits to a representative sample of the company's franchises, posing as customers and noting whether staff was proactive in its customer engagement and customer focus and whether they were up to date on current promotions as well. Feedback went to the Head Office and they, in turn, shared it with their franchises, including those franchises directly involved in the evaluation.
A large electronics retailer was faced with the challenge of monitoring thousands of stores around Europe. With Dedicated Roamler software, this company was able to receive up-to-date comprehensive reports on in-store execution. This data was invaluable to the company in evaluating the execution of its campaigns.