Discounting Is Killing Market Share in retail

Large-scale retail fulfilment operation highlighting how efficiency and systems support market share growth in competitive markets.

Meet the Author

JP Tucker is the co-founder of Optidan and a second-time founder in the ecommerce space. Before building Optidan, JP scaled Hello Drinks, Australia’s first liquor marketplace with Afterpay, into a seven-figure business. He brings 20+ years of retail and FMCG experience, with roles at global brands including Dell, Beiersdorf (Nivea & Elastoplast), GlaxoSmithKline (Panadol, Sensodyne, Macleans, Lucozade), and Perrigo (Nicotinell, Herron and more). JP’s passion is helping retailers unlock performance through content, strategy, and innovation.

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Discounting Is Defending Volume But Killing Market Share

Australian retail is not short on demand. It is short on clarity.

Across most discretionary categories, volumes are flat. Consumers are cautious, highly informed, and quick to compare. In response, many retailers have reached for the most familiar lever available: price. Discount harder, clear faster, protect top line sales.

On the surface, it looks rational. Sales can hold. Traffic can spike. But beneath that activity, something more structural is happening.

Retailers are quietly losing market share to competitors who are not cheaper, but easier to find, easier to understand, and easier for platforms to recommend.

This is where the next phase of retail competition is being decided.

What the market data is really telling us

Recent institutional research into Australian retail performance highlights a consistent pattern. Sales can remain broadly in line with expectations, yet profitability deteriorates when growth is driven by clearance activity and increased discounting. Competitive pressure, particularly from direct to consumer channels, forces retailers into price matching that protects volume but erodes margin.

That pressure is not theoretical. It is already playing out across large, well run retail groups. The common thread is not poor execution or weak brands. It is reliance on price as the primary growth mechanism in a market where consumers have more choice and more tools than ever.

Discounting is no longer a competitive advantage. It is a defensive tactic.

Market Share Is the Real Battleground

Flat markets create share shifts, not growth

When markets are expanding, inefficiencies are often masked. Rising demand lifts most boats. In flat or tightening markets, growth only comes from one place: taking share from someone else.

This is the context many Australian retailers are now operating in.

Share is not being won at checkout. It is being won much earlier, at the point of discovery. Whoever captures intent first increasingly controls the outcome.

That intent now flows through multiple layers:

  • Traditional search engines like Google
  • Marketplaces and retail media networks
  • AI driven discovery tools and assistants
  • Platform level recommendation systems

If your products are not clearly understood at that stage, price becomes irrelevant because you are not even being considered.

What we are seeing in the field

“What we’re seeing across retail right now is not a demand problem, it’s a visibility problem. In flat markets, the retailers gaining share are not the ones discounting hardest. They’re the ones whose content is easiest for platforms to understand, rank, and recommend. Once AI systems enter the funnel, that advantage compounds very quickly.”

Against this backdrop, we have seen a different pattern emerge with retailers who focus on optimisation rather than discounting.

Across Bottle Stop and Barrel & Batch, both operating in highly competitive liquor categories, the results have been clear:

  • Strong traffic growth in a flat market
  • Click through rates up between 40 and 69 percent
  • Revenue uplift of around 30 percent on one platform
  • Market share gains without deeper discounting

The consumer did not change. The market did not expand. The pricing environment remained competitive.

What changed was visibility.

Visibility is now the primary growth lever

Retailers often talk about brand, experience, and loyalty. All of these matter. But before any of them can influence a sale, a platform must first understand the product.

Search engines and AI systems do not interpret intent emotionally. They rely on structure, clarity, and consistency.

When product and category content is duplicated, thin, or inconsistent, platforms struggle to confidently surface it. When that happens, demand quietly flows elsewhere.

This applies equally to:

  • Google Search and Shopping
  • AI powered assistants
  • Agent led discovery tools
  • Retail media recommendation engines

The retailers winning share today are not necessarily those with the biggest budgets or the deepest discounts. They are the ones sending the strongest signals.

AI Optimisation and Proof in Market

Why AI optimisation changes the rules

AI transformation in retail often starts in the wrong place.

Many teams jump straight to evaluating new tools. AI shopping bots, personalisation engines, agent-led checkout flows, and recommendation layers. All of these matter, but none of them work properly if the top of the funnel is broken.

The first step in AI transformation is fixing visibility.

Search engines, AI agents, and shopping assistants can only work with the demand they are able to see and understand. If your product and category content is fragmented, duplicated, or unclear, these systems simply have less to work with. That limits not just reach, but performance across every downstream tool you are reviewing or deploying.

When top of funnel traffic improves, everything compounds.

Better visibility brings more qualified demand into the site. That increased volume then feeds existing conversion tools, merchandising logic, AI shopping assistants, and future agent-led experiences. Even before new tools are introduced, retailers typically see conversion improvements on their existing audience because content clarity reduces friction and improves relevance.

The upside is twofold.

You convert your current audience more effectively, and you expand the pool of demand entering the funnel. That is where AI optimisation delivers leverage, not by replacing existing systems, but by making them work harder.

“Optidan Core provided a scalable and consistent approach to product content optimisation across our two online brands. We were able to move away from supplier provided product descriptions as well as adding bespoke brand pages and meta descriptions which resulted in material uplifts in click performance across our platforms.

During our end of year peak trading period we saw increases of up to 69% on one channel and 43% on the other, alongside stronger revenue outcomes.”
Damien Smith - CTO Paramount Retail - Optidan Testimonial
Damien Smith
CTO Paramount Retail - Bottle Stop / Barrel & Batch

AI driven discovery accelerates a trend that was already underway.

Google rewards clarity. AI systems enforce it.

AI models do not browse your website like a human. They ingest, interpret, and compare structured information at scale. They favour content that is:

  • Unique
  • Well structured
  • Contextually rich
  • Consistent across the site

If your product content is sourced from the same supplier feeds as your competitors, AI systems struggle to differentiate you. If your categories lack intent clarity, agents default to alternatives that are easier to interpret.

This is why AI optimisation is not a future concern. It is already impacting who captures demand today.

Market share is being decided before checkout

In an agent assisted shopping flow, the funnel compresses.

Discovery, comparison, and recommendation increasingly happen upstream of your website. By the time a shopper arrives, many decisions are already made.

This shifts the battleground:

  • From conversion optimisation to content optimisation
  • From promotional depth to signal strength
  • From short term sales spikes to long term share capture

Retailers focused only on checkout metrics risk missing where the real competition is now happening.

One website, one voice

A consistent pattern we see across high performing retailers is alignment.

Product pages, category pages, brand content, and internal linking all reinforce the same intent. There is one voice, one structure, one set of signals flowing through the site.

This does not mean generic content. It means content that is owned, differentiated, and optimised for how platforms actually evaluate relevance.

When this foundation is in place, growth becomes more resilient. Traffic compounds. Share accumulates. Discounting becomes a choice, not a necessity.

The strategic takeaway

Discounting will always have a role in retail. But when it becomes the primary growth strategy, it signals a deeper problem.

In flat markets, share is not won by shouting louder or cutting deeper. It is won by being easier to find, easier to understand, and easier for platforms to trust.

Retailers that invest in content optimisation and AI readiness are not just improving performance metrics. They are repositioning themselves to capture demand as the funnel continues to evolve.

The next phase of retail competition is not about who can afford to discount the longest.

It is about who owns visibility when it matters most.

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    Optidan AI is a Sydney-based platform helping ecommerce retailers treat content as foundational infrastructure at enterprise scale. We focus on improving how product and brand information is structured, maintained, and surfaced across search engines, AI discovery platforms, and modern shopping experiences.