Retail Market Research
South African retail is in the middle of a structural restructure — Shoprite and Boxer are expanding aggressively into lower-LSM and township formats, Pick n Pay is mid-turnaround, Massmart is being reconstituted post-Walmart, and formal grocery is being squeezed from below by hard discount and from above by premium specialists like Woolworths Food. Meanwhile omnichannel behaviour has stabilised: click-and-collect and on-demand grocery (Checkers Sixty60, Woolies Dash) are now permanent fixtures rather than pandemic artefacts. Retailers that still rely on loyalty-programme data alone are missing the shopper-level substitution logic that primary research reveals.
Why Retail Research Matters
- Store-format economics have shifted — a 2019 hypermarket model no longer delivers the same trip frequency, and format-level research is required to test new compact, convenience, and hybrid store types.
- On-demand grocery apps have fundamentally altered the definition of a competitor set; a Woolworths store in Sandton now competes with Checkers Sixty60 for the same 6pm basket, and shopper research must reflect that.
- Private-label strategy is no longer a 'budget range' conversation — it is a portfolio architecture question involving tiering (economy, standard, premium, speciality) and requires shopper segmentation to structure.
- Loyalty programme data tells you what happened inside your four walls but nothing about the shopper's other 80% of spend — primary research is the only way to see share-of-wallet.
- South African retail labour, security, and power costs per square metre are structurally higher than developed-market benchmarks, which changes the commercial threshold for any new format or service innovation.
Our Retail Research Services
Store-format and location research
Catchment analysis, format testing, and new-site feasibility studies combining intercept surveys, drive-time modelling, and competitor audits.
Private-label architecture research
Shopper research supporting tiering decisions, cross-tier cannibalisation analysis, and benchmarking private label against national brands on quality perception and price.
Omnichannel and app experience research
Usability testing, on-demand grocery journey studies, and quantitative tracking of app NPS and feature adoption.
Category management and range reviews
Shopper-driven assortment work to support retailer category captaincy, space-to-sales reviews, and range rationalisation.
Customer experience and mystery shopping
Structured store audits, mystery shopping programmes, and CX tracking linked to operational KPIs.
Loyalty programme diagnostics
Segment-level research into loyalty programme perceptions, breakage, and preference elasticity versus competitor programmes.
How We Approach Research in This Sector
Retail research is a commercial discipline, not a marketing one — insights that don't link back to gross margin, basket size, store economics, or labour model are not useful. We design our programmes with category, format, and trading-director stakeholders in the room from day one, and our reports lead with the commercial implication before the data. Because store-level nuance matters, we oversample by region and format rather than relying on national averages that hide critical store-cluster differences.
Why Choose Meraki Research for Retail?
- Senior team members have worked inside South African retail — in category management, insights, and trade marketing roles — so we understand the operational reality behind the research request.
- We run continuous store-intercept and catchment work across Gauteng, Western Cape, KZN, and the Eastern Cape, giving us a live read on how formats are performing before clients brief us.
- We have a dedicated qualitative practise for on-demand and app research, with usability labs and remote-testing capability for apps rated IOS and Android.
- Our category norms are built specifically for South African retail, not imported from global databases that do not reflect local basket dynamics.
What We Deliver
| Deliverable | Format | Typical Timeline |
|---|---|---|
| Store-format feasibility study | Written report with shopper demand, competitive landscape, and financial sensitivity | 8-10 weeks |
| Private-label architecture study | Tiering recommendation with cannibalisation model and shopper typology | 10-12 weeks |
| Category shopper study | Category vision document with range and merchandising implications | 8-10 weeks |
| Omnichannel tracker (quarterly) | Quarterly wave dashboard plus annual deep-dive | 6 weeks per wave |
| Mystery shopping programme | Monthly store scorecards with quarterly trend reporting | Ongoing, monthly cycle |