Opening screen
The popup opens with the headline "Find the best TV size for your home" and a single "Let's go" button, inviting the shopper to answer one question instead of browsing the full catalog.
Popup Campaign Example · Home Appliances Retailer
Product Recommendation Quiz Example: Picking the Right TV Size
A look at the first 15 days of a TV-size recommendation quiz Tandiskaala runs on its TV-related pages, including full funnel data and attributed revenue.
Snapshot
Data as of Jul 23, 2026 · live since Jul 8, 2026 (15 days)
1,484
Impressions
Popup views over 15 days
352
Total clicks
23.72% CTR (352 of 1,484 impressions)
12.26%
Engagement rate
182 of 1,484 impressions clicked at least one CTA
79.38%
Close rate
1,178 of 1,484 impressions closed the popup
4
Attributed orders
Placed by shoppers who engaged with the quiz
$1,455
Attributed revenue
Over the 15-day window
A high-traffic category with a low conversion rate
In many e-commerce catalogs, high-consideration categories like TVs draw plenty of traffic but convert at a lower rate than the rest of the store, because the purchase decision involves comparing specs many shoppers don't fully understand.
Tandiskaala's team saw this pattern in its own data: the TV category and TV product pages were among the most-visited sections of the site, but conversion on those pages lagged behind traffic volume.
At Tandiskaala, TV category and product pages rank among the most-visited sections of the site, yet they converted at a noticeably lower rate than that traffic would suggest, prompting the team to look for a way to help shoppers narrow down their choice.
Shoppers were overwhelmed by choice, not price
The team's working hypothesis was that shoppers browsing the TV category were confronted with a large number of similar-looking products and had no easy way to tell which one matched their own room and viewing habits.
That uncertainty, rather than price or brand, was suspected to be a main factor stopping people from adding a TV to their cart.
What we built
To address this, the team built a two-step product recommendation quiz that appears on TV-related pages and asks the shopper one simple question before pointing them to a specific TV.
The question
Shoppers are asked how far they typically sit from the TV, or the distance between their sofa and the screen, with four ranges to choose from: under 2 meters, 2–3 meters, 3–4 meters, and over 4 meters.
The recommendation
Based on the selected distance, the quiz recommends a matching TV size and surfaces one specific product the shopper can view for more details or add straight to their cart.
Trigger & targeting logic
The popup is scoped narrowly to shoppers who are already looking at TVs, rather than shown site-wide.
- Trigger delay
- 15 seconds after page load
- Page targeting
- Any URL containing "TV" — TV product pages, TV category pages, TV-related articles, and on-site search results for TV
The CRO principles behind it
None of these ideas are specific to TVs — they generalize to any catalog where shoppers face too many similar-looking options.
Demonstrating expertise
Shoppers are more comfortable buying from a source that seems to understand the product and their specific situation. Recommending a size based on the shopper's own viewing distance signals that the suggestion is tailored, not a generic upsell.
Reducing the choice set
Faced with dozens of similar options, shoppers often struggle to commit to any one of them. Narrowing the decision down to a single recommended product removes the need to compare specs across the full catalog.
Light gamification
Framing the interaction as a short quiz rather than a static banner makes it feel more like a game, which encourages shoppers to engage instead of scrolling past it.
Personalized framing
Basing the suggestion on the shopper's own answer turns what would otherwise read as a promotion into something that feels targeted to their specific need.
15 days of live data (Jul 8–Jul 23, 2026)
The figures below reflect the first 15 days the quiz has been running on Tandiskaala's TV pages. The sample is still small, and none of these numbers should be read as a guaranteed rate going forward.
What happened after the popup appeared
12.26% (182 of 1,484 impressions)
Clicked at least one CTA
79.38% (1,178 of 1,484 impressions)
Closed without engaging
8.36% (124 of 1,484 impressions)
Left without closing or clicking
Which CTA shoppers clicked
- Let's go (opening CTA) 182
- Under 2 meters 6
- 2–3 meters 40
- 3–4 meters 51
- Over 4 meters 34
- Untracked (pre-update) 39
Click-level tracking by individual CTA was added partway through this campaign. The 39 clicks recorded before that update could not be attributed to a specific button, so they are shown separately below.
Commercial outcome
Over the 15-day observation window, orders placed by shoppers who engaged with the quiz totaled 4 orders, for $1,455 in attributed revenue.
An honest account, not a finished case study
No control group
The campaign was not run as an A/B test against a holdout group, so it is not possible to isolate the quiz's effect from other factors that may have influenced these shoppers.
Small sample size
With 1,484 impressions and 4 attributed orders over 15 days, the dataset is still small enough that individual outlier sessions can meaningfully move the percentages reported here.
Partial click-tracking gap
Per-CTA click tracking was added after the campaign had already launched. The 39 clicks recorded before that update are included in the total click count but could not be matched to a specific button, so they appear as an untracked row in the breakdown above.
A longer observation window and a proper holdout group, where a matched set of TV-page visitors never see the popup, would be needed to make a stronger causal claim about the quiz's effect on TV conversion.
The Takeaway
Narrowing a large catalog to one recommendation can reduce decision friction
When a category has many similar-looking options, asking one targeted question and pointing shoppers to a single matching product can be a lower-effort way to help them decide than expecting them to compare specs on their own.
Frequently asked questions
What is a product recommendation quiz?
A product recommendation quiz is a short, interactive popup that asks a shopper one or more questions and then points them to a specific product based on their answers, instead of leaving them to compare a full catalog on their own.
How is this quiz targeted on Tandiskaala's site?
It only appears on pages where the URL contains "TV" — TV product pages, TV category pages, TV-related articles, and on-site search results for TV — and it shows 15 seconds after the page loads.
Are these results a guaranteed outcome?
No. These are attributed figures from a 15-day window without a control group, detailed in full in the Limitations section above. They describe what happened in this specific case, not a projected result for another store.
Want to try something like this on your own store?
Notifal can help you build a targeted product recommendation quiz for your own high-traffic, low-converting category.