Reading guides
Reading the top of the funnel: are you turning subscribers into buyers
How to find the earliest leak in your funnel, the one that quietly shrinks every number downstream.
Wassif
Co-founder, SendLens
The question this screen answers
"Of the people who just raised their hand, how many actually become customers, and how quickly?"
This is the guide I would read first if I were starting from scratch, because the top of the funnel is where the leaks compound. Every subscriber you fail to convert is a customer who never enters the RFM base, never reaches a second order, never shows up in any of the later screens. A hole here does not stay here. It shrinks everything downstream. Fix the earliest leak and every guide after this one gets easier.
Let me show you how I read it, working from the very top down.
Read one: pop-ups, your first revenue moment
Most brands read their pop-up as a signup counter and stop there. That is a mistake. A signup is only the start of a relationship that either turns into revenue or does not, and the goal lives further down the funnel. Read the pop-up as the first step of a conversion rather than a vanity number.
SendLens gives you views, submits, and the submit rate (submits divided by views) with a trend over time. Read them in that order:
- Views tell you whether the pop-up is being seen at all. Low views usually means a targeting or placement problem, not a copy problem.
- Submit rate is the real signal. It tells you whether the offer and the moment are compelling. A healthy submit rate means the pop-up is doing its job of capturing intent.
- The trend matters more than any single week. A submit rate drifting down over time often means the offer has gone stale or the audience has seen it too many times.
But do not stop at the submit rate, because a high signup number means nothing if those signups never buy. That is exactly what the next read is for. The pop-up captures the hand-raise. The funnel tells you whether the hand-raise turned into money.
Read two: the subscriber funnel, and the shape of the curve
This is the heart of the guide. SendLens takes a cohort of your net-new email subscribers (people whose first "Subscribed to List" event falls inside the window) and follows them forward, counting how many make their first purchase within 30, 60, or 90 days. Crucially, it gives you a cumulative, day-by-day curve, not just a single number.
Read the curve, not only the endpoint. The shape tells you far more than the final percentage:
- A steep early rise that then flattens. Healthy. Most of your conversions happen in the first days after subscribing, while intent is hot, and then it levels off. This is what a working welcome sequence looks like: it strikes while the iron is hot.
- A slow, shallow curve that only creeps up over weeks. This is the red flag, and it points squarely at your welcome flow rather than your traffic. You are capturing people with real intent and then failing to convert them while that intent is at its peak. By the time they trickle in weeks later, you have left most of the opportunity on the table.
- A curve that barely lifts at all. Either you are attracting the wrong subscribers (a discount-bait pop-up that pulls in people who never intended to buy) or your welcome experience is broken. Read it together with the pop-up: high submit rate but flat conversion means you are capturing the wrong hand-raises.
Compare the 30, 60, and 90 day horizons to see when conversion happens. If very little is added between day 30 and day 90, your window of opportunity is short and your welcome flow needs to do its work early. If conversions keep accruing well past day 30, there is a slower nurture story worth supporting.
Read three: prospect conversion, and who is really new
The subscriber funnel answers "how many and how fast." Prospect conversion sharpens it by separating the people who were genuinely prospects from those who were already customers when they subscribed.
This distinction matters more than it first appears. Plenty of "subscribers" are existing customers opting in at checkout, and if you count their purchase as a conversion you will badly flatter your funnel. SendLens is careful here: it separates true prospects from already-customers, and it treats a same-day subscribe-then-buy as a genuine conversion while reclassifying buy-then-subscribe checkout opt-ins for what they are. Read the prospect numbers as your honest new-customer conversion, stripped of that double-counting.
It also gives you widening windows, from 7 days out to 180. Read across them the same way you read the funnel curve: the 7 and 30 day figures tell you about immediate intent and welcome-flow strength, while the longer 90 and 180 day windows tell you whether a patient nurture eventually pays off for the people who did not buy straight away.
What healthy looks like, and what a red flag looks like
Read these as directional patterns, since the right numbers vary enormously by price point and category. A considered, high-ticket purchase should convert slowly and that is fine. An impulse product should convert fast or not at all.
A healthy top of funnel tends to look like:
- A solid submit rate that holds its level over time.
- A conversion curve that rises steeply in the first days and reaches a respectable share of the cohort by day 30.
- Prospect conversion that is genuinely new-customer revenue, not existing customers re-counted.
Red flags I look for straight away:
- Healthy signups but a flat conversion curve. The clearest signal that your welcome flow, rather than your traffic, is where the problem sits. You are paying to capture intent and then wasting it. This is the highest-leverage fix on the whole screen.
- A submit rate that is drifting down. The offer has gone stale or the audience is fatigued on it. Refresh it before it drags your whole funnel down.
- Conversion that only accrues slowly over many weeks. Your early welcome moment is weak. The people were ready sooner than you reached them.
- An impressive funnel that collapses once you strip out already-customers. You were flattering yourself with checkout opt-ins. Read the true prospect figure and plan against that.
Turning the read into a plan
Here is how I would act, in order:
- Fix the earliest leak first, because it compounds. If signups are healthy but the conversion curve is flat, your welcome flow is where the money is. Strengthen the first few messages, make the first-purchase offer clear and time-limited, and give people a reason to buy while intent is high.
- Match your welcome timing to your curve. If conversion happens fast, front-load the welcome sequence. If it accrues slowly, extend the nurture so you are still present when your prospects are actually ready.
- Interrogate the pop-up if you are attracting the wrong people. A high submit rate with weak conversion means the offer is pulling in the wrong hand-raises. Tighten the offer to attract buyers, not freebie hunters.
- Always plan against the true prospect number, not the flattered funnel, so your targets are honest.
- Then, and only then, spend more on traffic. Pouring acquisition budget into a leaky welcome experience just wastes it faster. Fix the conversion of the subscribers you already have first.
What to check next time you open these screens
You changed the pop-up or the welcome flow. Come back and read again:
- Did the early part of the conversion curve get steeper? Your welcome flow is striking while intent is hot.
- Did the 30-day conversion rate climb for a fresh cohort of subscribers? More of your hand-raises are becoming customers.
- Is the submit rate holding or improving after an offer refresh? The pop-up is still pulling its weight.
- Does the true prospect conversion (with already-customers stripped out) tell the same story? You are growing on real new customers, not re-counted ones.
Get this loop right and everything downstream improves at once, because you are feeding more real customers into the base that every other guide depends on. The top of the funnel is the least glamorous screen in SendLens and quite often the most valuable.
Questions? Email hello@sendlens.io