GrowCentric.ai: The Growth Brain for Your eCommerce Store

See which products your competitors push on Google Shopping, at what price, with which promotions and on which keywords.

Ad prices tell half the story. The crawler reads their shops too and picks up standard prices, bundles, subscriptions, tiered discounts and volume deals.

Delivery times, shipping costs, free shipping thresholds and return policies all flow into the comparison. You compare what the customer actually pays, not the sticker.

Some competitors win on subscriptions and recurring discounts. We track those too, so your pricing thinks in lifetime value instead of single sales.

Each SKU gets its own best price, built from competitor data, your margin targets, demand elasticity and how you want to be positioned.

Budget flows to the products where it earns the most, weighed by ROAS potential, margin, stock levels and how hard the competition is pushing. Flat spending ends here.

Decisions stay inside a 5% error margin. When the data is too thin to be sure, the system holds still instead of guessing.

Products with strong organic conversion and zero ad spend. The cheapest wins you will find anywhere in your catalogue.

Shows where competitors are absent or priced too high, which leaves you a free lane to take the category.

Each find comes with a plan: the price, the budget, the landing page changes and the return you can expect.

Creatives, headlines and copy are written per product, angled at what works for your audience and rewritten when the numbers say so.

Money moves between Google, Meta, TikTok and the rest based on live performance. Every pound sits where it earns.

Competitor prices, stock, seasonality, time of day, weather, sales history, subscription value, abandoned carts and plenty more shape every budget call.

Optimised for contribution margin and lifetime value. Clicks and impressions do not pay wages.

Seasonal items get seasonal models. Fresh launches get growth models. Subscriptions get retention models. One size fits nobody.

Forecasts for revenue, margin and units refresh as new sales and cost data arrives. Nobody waits for the end of the month here.

Raise prices, add a product line, double the ad spend, lose a supplier: model it first and see the impact before you commit.

Black Friday, bank holidays, big matches and even the weather show up in demand. The models see them coming and price them in.

Every ad, email, social post and campaign link is tagged correctly on its own. No copying by hand, no typos, no missing parameters.

One documented naming convention, enforced. Never again three sources called Facebook, facebook and FB in the same report.

Forecasting, testing, budget allocation and cohort analysis all eat this data. Feed them rubbish and they return rubbish. That is why this part is not optional.

Test a specific hypothesis yourself, or let the AI run continuous bandit tests across creatives, audiences and landing pages.

Bayesian statistics and bandit allocation put traffic where it teaches you the most. Winners scale quickly, losers die quickly, flat tests stop wasting money.

Every result flows back into forecasting and reporting. The platform keeps what it learns, so next month it decides better than this month.

Targets built on what the data says is possible, not on what someone hoped for in a January meeting. Ambitious, but honest.

Trending off target? You get warned with runway to spare. The system proposes fixes, from budget shifts to promotions, and shows what each one would do.

Every corrective move is modelled before you commit. Expected revenue, margin impact, time until it bites. Then you decide.

Demand per SKU, reorder points flagged early, with lead times and promotion plans already included.

Slow movers get flagged before you order more of them. Working capital belongs in your business, not in a warehouse.

Black Friday, seasonal peaks and planned campaigns are in the forecast, so stock arrives before demand does.

Grouping by channel, first product, spend level and behaviour happens on its own. You never define a single rule.

Predicted lifetime value per cohort and per customer, so you know what a similar profile is worth before you pay to acquire it.

Shows which products and bundles keep customers longest, so your marketing and subscriptions build on proven material.

Shopify, WooCommerce, Solidus, Medusa, Saleor and Magento work out of the box. Anything else gets a custom connector.

Google Ads, Meta, TikTok, Microsoft Advertising, Amazon Ads and marketplaces like eBay are connected from day one.

Server side tracking, conversion APIs and first party data by default. Friendly to GDPR and resilient against browser restrictions.