Traffic Estimation: How to Forecast Available Inventory and Set Realistic Bids Before You Launch

Traffic estimation is the step most media buyers skip, and it is the reason so many campaigns stall on day one. Before you set a bid or a budget, you need to know how much inventory actually matches your targeting and what other advertisers are paying to win it. This post explains how traffic estimation works on an RTB platform, how to read the numbers, and how to turn them into a launch plan that can actually spend.

What Traffic Estimation Actually Measures

When you build a campaign, every targeting choice shrinks the pool of impressions you are eligible to bid on. Country, device, operating system, browser, ad format, dayparting, and whitelists all stack on top of each other. Traffic estimation shows you the size of the pool that is left once all of those filters are applied.

Most RTB platforms, including Squren, give you two things when you run an estimate:

  • Available volume — the number of impressions (or visits, for formats like popunders and mobile redirects) that matched your targeting over a recent period, usually the last 24 hours or seven days.
  • Bid landscape — the range of bids currently winning that inventory. This is often shown as a minimum, average, and recommended bid, or as the share of traffic you would win at a given price.

These numbers are forecasts, not guarantees. They describe what happened recently, not what will happen tomorrow. But they are the closest thing you have to a map before you spend real money.

Why Estimating Before You Launch Matters

Skipping traffic estimation usually leads to one of two failures.

The first is no delivery. You launch with a bid that looks reasonable, wait a day, and see a handful of impressions. The targeting was too narrow, the bid was too low for that segment, or both. You lose a day and learn nothing.

The second is uncontrolled delivery. You launch with broad targeting and a competitive bid, and the campaign empties its daily budget in an hour. The data you collect is skewed toward whatever sources happened to be cheapest and fastest at that moment, and your campaign pacing is already broken before optimization starts.

Traffic estimation prevents both. It tells you whether your segment is big enough to be worth testing and roughly what you need to bid to win a meaningful share of it.

How to Run a Useful Estimate

Treat estimation as a series of comparisons rather than a single lookup. The goal is to understand how each targeting layer affects volume and price.

Start Broad, Then Narrow

Run your first estimate with only the essentials: ad format, country, and device type. Note the volume and the bid range. Then add one layer at a time — operating system, browser, carrier, dayparting — and watch how the pool changes.

You will often find that one filter removes most of your inventory while barely changing the bid. That is a sign the filter is costing you more reach than it is worth. Other filters will cut volume modestly but drop the average bid, which means you have found a less competitive corner of the market.

Compare Geos Side by Side

If you are deciding between several countries, estimate each one separately with the same targeting. The pattern you will usually see is the one described in our traffic tiers guide: Tier 1 countries have high bids and moderate volume, while Tier 2 and Tier 3 countries have far more volume at lower prices. Neither is automatically better. The right choice depends on what your offer pays and how much testing budget you have.

Check the Bid Landscape, Not Just the Minimum

The minimum bid tells you the floor, not what it takes to win. If the estimate shows an average winning bid well above the minimum, bidding at the floor will get you the leftovers: the impressions nobody else wanted. For a first test, aim somewhere between the average and recommended bid so you see a representative sample of the inventory. Our post on win rate in RTB explains how your bid position shapes what you actually receive.

Turning the Estimate Into a Launch Plan

Once you have a volume figure and a bid range, you can answer the three questions every launch depends on.

Is the segment big enough? A good rule of thumb is that your targeting should return several times more daily impressions than you plan to buy. If you want to buy 10,000 visits a day and the estimate shows 12,000 available, you will need to win nearly all of them, which means outbidding everyone. If the estimate shows 200,000, you can win a comfortable share at a moderate bid.

What should the starting bid be? Take the recommended or average bid from the estimate and treat it as your opening position. You are not trying to win cheaply yet. You are trying to collect clean data across a representative slice of sources. Once you know which placements convert, you can lower bids on the rest, as covered in our guide to bid optimization in RTB.

What daily budget makes sense? Multiply your starting bid by the number of impressions or visits you want to test per day. If that number exceeds what you are willing to spend, narrow the targeting rather than dropping the bid. A smaller segment at a competitive bid gives you better data than a large segment at a bid that only wins remnant inventory. Our post on campaign budget allocation goes deeper on how to size a testing budget.

Common Mistakes When Reading Estimates

  • Treating the estimate as a promise. Volume moves with the time of day, day of the week, publisher activity, and competitor spending. Expect the live campaign to land somewhere near the estimate, not exactly on it.
  • Stacking too many filters before the first test. Every filter you add before you have conversion data is a guess. Let the campaign tell you which browsers, operating systems, and placements work, then tighten.
  • Ignoring format differences. A popunder estimate counts visits. A banner estimate counts impressions. The numbers are not comparable, and the bids that win each format are not either.
  • Forgetting that whitelists change everything. If you plan to run a whitelist campaign on a short list of placements, estimate that list specifically. The volume on ten hand-picked sources can be a tiny fraction of the broad estimate.

Re-Estimate as You Optimize

Traffic estimation is not a one-time task. Every time you change targeting, re-run the estimate so you understand what you just gained or lost. When a campaign that was delivering suddenly slows down, an estimate will often show you why: a competitor raised bids, a large publisher paused, or seasonal traffic shifted. Checking the estimate before touching the bid saves you from reacting to the wrong cause.

Conclusion

Traffic estimation turns campaign planning from guesswork into arithmetic. Know how much inventory matches your targeting, know what it costs to win a fair share of it, and set your bid and budget to match. Campaigns planned this way deliver on day one and produce data you can actually optimize against.

Squren's platform shows you available volume and bid guidance for every targeting combination before you launch, across popunders, banners, IM floaters, mobile redirects, and interstitials. Sign up as an advertiser at Squren.com to run your first estimate, or contact our 24/7 support team if you want help sizing a campaign for your offer.