Once you are paying for traffic, conversion rate is the cheapest lever you have. Going from 1.5% to 3% has the same effect on revenue as doubling the ad budget, and it does not increase next month’s costs.
It is also the most commonly skipped work, because it is less visible than launching a campaign and harder to claim credit for.
What the work covers
- Funnel analysis: where people leave, and what they were trying to do
- Session recording and heatmap review, read properly rather than watched casually
- Form analysis: field-level drop-off is usually the largest single fixable loss
- Landing page design and copy for paid campaigns
- Message match between ad and page, which is where most paid traffic is wasted
- Mobile experience, since most regional traffic is mobile and most pages are designed on desktop
- Page speed as it affects conversion, not as a score
- Trust signals appropriate to the market
- Checkout and lead form optimisation
- A/B test design, sample size calculation and honest result reading
- Arabic and RTL landing page experience
- Post-conversion flow, including WhatsApp and call handling
Region-specific conversion factors
WhatsApp beats forms, often decisively
Across Egypt and the Gulf, a WhatsApp handoff frequently converts better than any form, provided someone answers it promptly. The tracking for it has to be built deliberately.
Cash on delivery changes the maths
Where COD is expected, conversion rate and fulfilment rate are separate numbers, and optimising the first while ignoring the second flatters the reporting.
RTL is a UX problem, not a CSS problem
Mirrored layouts, form field order, numeral conventions and Arabic typography all affect completion rates measurably.
Trust signals differ by market
What reassures a buyer in Riyadh differs from Cairo and from Dubai. Local phone numbers, payment options, delivery promises and review formats all carry different weight.
How testing runs
Diagnose
Analytics, recordings and form data to find where the loss is, before forming any opinion about why.
Hypothesise
A specific, written statement: change X, expect Y to move, because Z. Vague tests produce vague results.
Size it
Calculate the sample needed before starting. Most tests on small sites cannot reach significance, and knowing that in advance saves running them.
Test
One variable, run to the pre-agreed sample, no peeking and stopping early when it looks good.
Decide
Implement, discard, or accept that the result was inconclusive, which is a legitimate and common outcome.
Frequently asked
How much traffic do we need to A/B test?
Realistically a few thousand conversions-relevant sessions per variant per month to detect anything short of a dramatic difference. Below that, structured qualitative work and best-practice fixes beat underpowered tests that will mislead you.
Is a landing page better than sending traffic to our site?
For paid campaigns, usually yes. A dedicated page matched to the ad’s specific promise removes the navigation and choices that a homepage has to offer. The lift is frequently large enough to be visible without testing.
Our conversion rate is 1%. Is that bad?
It depends entirely on the traffic source, the price point and the category. 1% from cold TikTok traffic on a high-ticket item may be fine; 1% from branded search almost never is. Benchmarks across categories are close to meaningless.
Can you build the landing pages?
Yes: design, copy, build and tracking, in Arabic and English, including the RTL work that is usually done badly or skipped.