(A practical playbook from the Gravity Field growth team)
👤 Author:
Vadim — head of the growth team at Gravity Field, who has worked hands-on with leading enterprise clients in foodtech, eCommerce and fintech. He has tested a lot of hypotheses and knows which ones actually work.
Intro: why your ads don’t deliver what you expected
Picture this: you put budget into advertising, you bring users to the site — and they don’t buy. Bounce rate is through the roof, conversion is low, average order value is flat.
It looks like a traffic problem, as if you just need more people. The truth is that what you’re losing here isn’t clicks. It’s money.
Say you double your traffic. If up to 50% of users leave in the first 10–20 seconds and purchase conversion stays low, that budget drains into nothing.
What if, instead of raising the budget, you simply made every visitor buy more and buy faster?
1. Why users leave in the first 10–20 seconds — and how to fix it
When someone lands on your site, one question runs through their head:
🔹 “Am I in the right place?”
If they don’t get a clear answer within seconds, they leave. That is exactly why personalizing the first 30 seconds is the single biggest growth lever you have.
How do you keep the user from leaving?
📌 Show them what the ad promised.
👉 Before: the ad said “Home improvement loans”. The landing page showed generic loan copy.
✅ After: headline and banner read “Home improvement loan: terms, rates, calculator”.
📌 Show products that match location and weather.
👉 Before: the hero image is spring sneakers while it’s still winter in the visitor’s region.
✅ After: spring styles in one region, winter boots in another. (Example: +10°C in one city, −15°C in another.)
📌 Change content by time of day.
👉 Before: someone visits in the morning and the site pushes dinner offers.
✅ After: “Breakfast” in the morning, “Lunch deals” midday, “Evening discounts” at night.
📌 Adapt the site to the device.
👉 Before: everyone sees the same products.
✅ After: iPhone owners buy TVs 6× more often — so TVs go to the top of their listing.
Result:
🚀 When a visitor sees relevant content in the first 10 seconds, bounce rate falls and the odds of a purchase go up.
2. How do you get visitors to buy more often?
You’ve kept the user on the site. Now remove the barriers standing between them and the purchase.
What scares a first-time visitor?
🔹 “What if it doesn’t fit?”
🔹 “Is delivery really that fast?”
🔹 “Where do I get it serviced?”
📌 What to do:
✅ Surface delivery, returns and warranty up front.
✅ If there’s a service centre in their city, say so.
✅ If someone picked a product and left — put that exact product at the top when they come back.
How do you sell to people with a long consideration cycle?
Say someone views the same product three times. On the first visit they read the description. On the second they compare specs. On the third they’re ready to buy but afraid to commit.
📌 What to do:
👉 First visit — show the full description.
👉 Second visit — make spec comparison easier.
👉 Third visit — show “Only 3 left” and “Next-day delivery”.
Result:
🚀 New users are less afraid to buy, and slow deciders get to checkout faster.
3. How to work with returning users
Say someone added a product to the cart and didn’t buy. This is your most valuable audience — you don’t have to explain the product to them, they were already ready to buy.
How do you get them to complete the purchase?
📌 The homepage adapts to their interests.
👉 Before: the same content for everyone.
✅ After: a returning user sees their own products and categories.
📌 The cart reminds them what they left behind.
👉 Before: the user leaves and the site never mentions the cart again.
✅ After: a “You left this in your cart” block at the top of the page.
📌 Category filters remember preferences.
👉 Before: you have to re-apply filters every single time.
✅ After: the last used filters open by default.
Result:
🚀 Users who left come back and finish the purchase.
4. How to use recommendations to lift conversion and average order value
🚨 The mistake: adding recommendations “just in case”.
The rule: recommendations should prompt, complement the user’s choice and reduce their cognitive load.
🔍 What to do
Homepage
🔹 New user → bestsellers, promotions, new arrivals.
🔹 Returning user → personal recommendations.
✅ Important: if the user already has clear interests, don’t serve them random products.
Category page (listing)
🔹 First visit → “Popular products”.
🔹 Repeat visit → “Recently viewed”.
✅ How to test it:
- Leave the listing without recommendations for 20% of users → measure the impact on conversion.
Product page
🔹 New users → “Similar products”.
🔹 Repeat visits → “Frequently bought together”.
🚨 The mistake: if a recommendation distracts from the product in focus, it lowers conversion.
Cart
🔹 Show only relevant up-sell and cross-sell.
🔹 Example: in e-grocery, if there’s no drink in the basket → a “Don’t forget a drink” block.
🚨 The mistake: showing random products → distracts and increases drop-off.
🚀 Result: recommendations help people buy instead of pulling them away.
5. How to test hypotheses without endless release cycles
Personalization only works when it genuinely improves conversion.
📌 Test every hypothesis with an A/B test.
📌 Don’t add blocks “just in case”.
📌 Optimise by segment.
🚀 Result: minimal risk, maximum efficiency.
Conclusion: how to grow sales without growing the budget
👉 1. Cut bounce rate → show relevant content in the first 10 seconds.
👉 2. Lift conversion → remove barriers, give the right information at the right moment.
👉 3. Returning users → personalize the homepage, the cart and the filters.
👉 4. Use recommendations wisely → only where they help rather than get in the way.
👉 5. Test every hypothesis → keep only what actually moves the metrics.
💡 If personalization improves each key metric (conversion, average order value, return rate) by just 5%, the compounding effect adds up to 27% revenue growth.
🔥 What to do right now
✔️ Look at which mechanics you already have running.
✔️ Pick 1–2 hypotheses from the list.
✔️ Launch an A/B test and measure the result.
Personalization isn’t an “endless release” — it’s a clear, repeatable growth process.
💬 Want to see how this works on your traffic? Book a demo
