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From Data to Dollars: How Graas platform Drives eCommerce Profitability

Updated: Apr 9

Graas’ Turbocharger Drives eCommerce Profitability

The competition in the eCommerce space is second to none. Achieving and sustaining eCommerce profitability has become an uphill battle for brands and businesses.

The digital marketplace is full of players, each vying for the attention and wallets of online shoppers. As a result, the traditional avenues of boosting eCommerce profitability through straightforward sales are no longer sufficient.

To stand out and stay ahead, brands have had to adopt multifaceted strategies that encompass a wide array of marketing and advertising channels. This involves not only a strong online presence but also expanding onto various marketplaces to tap into different customer bases.

Additionally, offering enticing discounts has become a common practice to attract price-sensitive consumers. However, this approach often comes with a downside: a direct impact on profit margins.

In the quest to drive eCommerce profitability while maintaining competitiveness, brands must turn to data-driven insights. This is where Graas comes in.

In this post, we will delve deeper into how Graas leverages data to drive eCommerce profitability.

How Graas platform helps you turn data into dollars

If you want to grow your eCommerce brand sustainably, your approach must be balanced — an approach that considers both revenue-enhancing measures and cost-saving measures.

How do you achieve this?

Firstly, you should evaluate the performance and function of your eCommerce business comprehensively. And then, based on what you’ve analyzed, identify the areas for cost-optimization while enhancing the overall customer experience.

This sounds so easy — analyze and optimize. But if you sit to do the math manually, there are high chances of you getting inaccurate results.

Let’s see how you can do this with Graas instead:

1. Helps in near real-time campaign tracking

The ability to make near real-time decisions is an X-factor for the success of eCommerce brands. However, navigating the distinct data types, ranging from structured tables to unstructured PDF reports, are challenging.

Also, the traditional process of extracting and processing data is labor-intensive, prone to human errors, and often results in outdated information. This shortage of up-to-the-minute insights can lead to ill-informed choices with potentially severe consequences for your business.

Why does decision-making become complex for brands?

Imagine a fashion brand managing a modest e-commerce presence with 50 diverse SKUs distributed across platforms like Amazon, Shopee, Lazada, Tokopedia and their own website. Add to this the complexity of advertising on Google, Instagram, and Amazon.

Let’s take one of their products — a T-shirt.

They need to pinpoint which regions – Mumbai, Jakarta, Manila, Bangkok, etc. - to drive demand. They must also determine the sizes to restock and assess whether a flash sale is feasible. Then the decision about whether to halt an ad campaign targeting a specific color due to a menacing stock shortage.

We’re talking about one product here — this complexity intensifies with each additional variable.

How Graas helps in near real-time decision-making?

The absence of data-backed insights exacerbates decision-making challenges. This is where Graas platform comes into play, helping you navigate complexity and facilitating faster decision-making.

By centralizing data that was once siloed across various business segments — CoGs, logistics, conversion rate, marketing spend, etc. — Graas streamlines operations and reduces complexity.

Its proprietary AI engine then takes the reins and works like your in-house data scientist. It accurately analyzes a truckload of data, predicting trends, identifying outliers, and generating insights and actionable recommendations.

2. Helps in ad optimization

Ad optimization is a crucial factor that drives brands into the spotlight and converts browsing consumers into enthusiastic buyers.

This transformative process bridges the gap between prospects and purchases, elevating a brand's eCommerce profitability.

Effective ad benchmarking and optimization extend across different stages of the consumer journey:

a) Top-of-funnel (TOFU) campaigns

TOFU campaigns are the initial touchpoint between brands and potential customers. They are all about garnering attention and sparking interest.

In this early stage, the objective is to expand brand visibility and introduce the offerings to a diverse audience.

With the help of insights that Graas collects from channels like Google, Facebook, TikTok, etc., you can create TOFU campaigns that transcend mere visibility, fostering genuine connections.

b) Segment-Specific campaigns

Graas excels at crafting campaigns tailored to specific segments, ensuring personalized messaging that resonates deeply.

With eCommerce analytics like demographic, behavioral, and interest-based data, Graas refines its approach to cater to the unique preferences of each segment.

This granular approach maximizes engagement and bolsters brand loyalty among distinct customer groups.

c) Retargeting campaigns

The journey leads up to retargeting campaigns, a phase aimed at re-engaging potential customers who previously interacted with the brand.

Graas platform identifies audiences with purchase intent, including those who have made previous purchases and those who left items in their cart. These campaigns are meticulously designed to rekindle interest, alleviate concerns, and guide customers toward completing their transactions.

Simply put, when you start to lead your marketing and advertising efforts using data across channels, you don’t just optimize your spends for higher ROI. You also ensure that your e-commerce business remains profitable even after offering different types of discounts and deals to entire buyers from various target audience segments.

3. Provides AI-powered actionable suggestions

Data unification and ad optimization are not the only things Graas excels at. The integration of artificial intelligence empowers brands to transition from data to decisions seamlessly.

By dismantling data silos and employing advanced machine learning algorithms, Graas distills complexity and provides near real-time insights and actionable recommendations for your eCommerce brand.

Here’s how insights from Graas can help you:

a) Elevated inventory management

With Graas platform, inventory management transforms from a guesswork-driven endeavor to an informed science.

The AI engine assesses historical sales data, market trends, and customer behavior to predict demand fluctuations accurately.

This allows brands to adjust stock levels promptly, minimizing overstock and stockouts, thus enhancing operational efficiency and maximizing eCommerce profitability.

b) Precision in advertising strategies

From identifying the most effective advertising channels to optimizing ad spend, Graas' insights are indispensable.

For instance, by analyzing customer behavior, you can find the optimal time for ad benchmarking placements, ensuring ads reach the right audience when they are most receptive.

This data-driven approach ensures that you get heightened engagement and conversion rates, which directly influence eCommerce profitability.

Another such example of ad benchmarking and optimization can be witnessed through the endeavors of Graas, as it rejuvenated an audio accessories brand's marketing strategy through strategic product bundling.

By recognizing frequently paired items, the AI-driven insights facilitated the creation of enticing bundles that resonated with customers. The bundled discounts offered a compelling incentive, leading to a remarkable addition to the brand's average order value.

c) Strategic listing management

Graas also optimizes marketplace listings by leveraging historical sales data, customer reviews, and eCommerce analytics of competitors. This informs pricing strategies and highlights gaps in the product portfolio, facilitating informed expansion into new niches.

d) Dynamic pricing and personalization

By mining customer data using Graas , you can adapt product pricing to market conditions, competitor prices, and customer preferences. This pricing agility reduces cart abandonment rates and drives higher conversions.

Additionally, personalized product recommendations enhance user experience, curbing decision fatigue and boosting cross-sells and upsells.

d) Dynamic pricing and personalization

By mining customer data using Graas, you can adapt product pricing to market conditions, competitor prices, and customer preferences. This pricing agility reduces cart abandonment rates and drives higher conversions.

Additionally, personalized product recommendations enhance user experience, curbing decision fatigue and boosting cross-sells and upsells.

Use your data to bring dollars with Graas

The journey from data to dollars is a quest for sustainable growth and eCommerce profitability. Graas’ Graas emerges as the ultimate ally, with advanced AI-driven insights to transform raw data into strategic decisions that fuel revenue generation and amplify profits.

Keep in mind that every data point holds the key to informed decision-making and strategic growth. And to get those insights out of your data, you need a platform like Graas.

Ready to leverage the advanced AI engine of Graas? Create your free account today!


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