Framebazaar

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Phase 1 — Multiple Buying Persona​

• Framebazaar caters to a wide spectrum of customers:

• One-time buyers customizing a single print

• Artists and photographers placing recurring large orders

• Corporates, hotels, and institutions requiring bulk framing services

 

Each of these audiences has different expectations, varying levels of product knowledge, and very different buying journeys. Some need maximum customization, others want fewer choices, and enterprise customers need a completely tailored B2B buying experience.

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Yet all of them often begin with similar broad search queries — making segmentation complex and critical.

We needed to restructure campaigns so every customer saw the right ad, right product, and right landing page.

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Phase 2 — Mobile First Shift 

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When Framebazaar partnered with us, their website was functional but not fully optimized for mobile conversions. Yet the majority of users in India were shifting to mobile browsing and shopping.

This created a dilemma:

• Mobile traffic was increasing

• But mobile conversions remained weak

 

Our goal was to build a profitable mobile presence while Framebazaar transitioned toward a fully responsive experience. This meant leveraging advanced bidding strategies, audience targeting, and cross-device attribution to capture high-intent mobile users without overspending.

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Phrase 3 — Reducing Wasted Spend

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In a crowded auction environment, efficiency determines profitability.

We conducted deep search query analysis and built robust negative keyword lists to:

• Cut irrelevant traffic

• Reduce unnecessary ad impressions

• Improve remarketing list quality

• Improve user relevance across all campaigns

 

This improved engagement rates and ensured the right buyers saw the right products.

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Phase 4 — Google Shopping Optimization

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Before partnering with us, Framebazaar was underleveraging Google Shopping.

The challenges included:

• Low feed quality

• Irrelevant products being triggered

• High CTR but low conversions due to mismatched user intent

We solved this by:

• Optimizing product titles & descriptions

• Using real search query patterns

• Applying feed rules via a 3rd-party platform

• Improving Shopping feed quality (invisible QS metric)

• Ensuring the right product appeared for the right search

 

This dramatically improved Shopping efficiency and bottom-funnel conversions.

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Phase 5 — Advanced Retargeting

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Our remarketing approach delivered some of the strongest improvements.

Using Google Analytics, we segmented users by:

• Search terms used

• Pages viewed

• Product categories explored

• Cart behavior

• Past purchase history

We then:

• Applied tailored bid strategies for each segment

• Created hyper-targeted display campaigns

• Identified comparison-shopping drop-off points

• Re-engaged users with personalized creatives

This provided deep clarity about Framebazaar’s high-value buyer personas.