How to export and analyze campaign performance data from Alignedup

So you want to get your campaign performance data out of Alignedup and actually make sense of it? You’re in the right place. This guide is for marketers, campaign managers, or anyone tired of staring at vague dashboards and just wants the raw numbers. I’ll walk you through exporting your data, what to do with it, what’s worth your time, and what’s not.

Let’s skip the buzzwords and get straight to work.

1. Get Your Data Out: Exporting from Alignedup

If you’re working in Alignedup, you already know its built-in reporting can be… inconsistent. Sometimes those dashboards are just a bunch of pretty graphs with no easy way to slice and dice. That’s why exporting is step one.

Step 1: Find the export option

  • Log into Alignedup.
  • Head to the “Campaigns” tab (sometimes called “Performance” — they seem to rename it every few months).
  • Locate the campaign you want data from.
  • Look for an export/download icon. Usually, it’s a down arrow or a button labeled “Export Data.”

Pro tip: If you don’t see it, check under the three-dot “More” menu beside your campaign name.

Step 2: Choose your data range and format

  • Set your date range. Don’t just grab the default “Last 7 days” unless you really mean it.
  • Pick your format. Nine times out of ten, CSV is your best bet. Excel might look tempting, but CSV plays nicer with most tools.
  • Hit “Export.”

Heads up: Sometimes exports are emailed to you instead of a direct download. If you don’t get it in a minute or two, check your spam folder. (Yes, really.)

Step 3: Check your export

  • Open the file and make sure it’s not just a summary. You want row-by-row data, not only totals.
  • Look for columns like Date, Campaign Name, Impressions, Clicks, Spend, Conversions, and CTR. If you’re missing any, double-check your export settings or try exporting from a different view.

Things that often go wrong: - Columns come with weird names (“CPM ($)” instead of “Cost per 1000 Impressions”). - Dates are in odd formats. - Sometimes data is missing. Re-export if you suspect something’s off.

2. Clean Up Your Data (Don’t Skip This)

You’ve got your CSV. Now what? Don’t just start pivoting — messy data leads to garbage analysis.

Step 4: Open in Excel or Google Sheets

  • Upload your CSV to Google Sheets or open it in Excel. Either works.

Step 5: Tidy up headers and formats

  • Rename columns for clarity. “CPC ($)” becomes just “CPC” — you know it’s dollars.
  • Delete columns you don’t need (like “Ad Set ID” or “Internal Code” unless you’re actually using them).
  • Standardize date formats (YYYY-MM-DD is easiest for sorting and filtering).
  • Make sure numbers are numbers (not text). This matters for calculations.

Pro tip: If you see blank rows or weird symbols, just delete them. Don’t overthink it.

Step 6: Scan for missing or weird data

  • Sort by each key metric (Clicks, Impressions, etc.) to spot any zeros or blanks.
  • If entire days or campaigns are missing, go back and re-export — sometimes Alignedup glitches.

3. Decide What to Analyze (and What to Ignore)

You don’t need to look at every metric. Here’s what actually matters for most campaigns:

  • Impressions: How many people saw your ads.
  • Clicks: How many people interacted.
  • CTR (Click-Through Rate): Clicks ÷ Impressions.
  • Spend: What you paid.
  • CPC (Cost per Click): Spend ÷ Clicks.
  • Conversions: The real goal (sales, signups, etc.).
  • CPA (Cost per Acquisition): Spend ÷ Conversions.

Ignore (most of the time): - “Estimated Reach” (rarely accurate) - “Frequency” (unless your ads are annoying people) - “Engagement Rate” (unless you’re running awareness campaigns)

If you’re tracking custom events, you might need extra columns, but don’t get sucked into overanalyzing vanity metrics.

4. Slice and Dice: The Basics of Analysis

Now to the good part: what’s working and what’s not.

Step 7: Break it down by segment

  • By date: Spot trends (are Mondays always better?).
  • By creative: Which ad images/copy pull their weight?
  • By audience: (If you have this data) Which segments perform best?

How: Use filters or pivot tables in Sheets/Excel. Don’t stress if you’re not a pivot table pro — even simple filters go a long way.

Step 8: Calculate your own metrics

Don’t trust Alignedup’s “calculated” fields. Do it yourself:

  • Add columns for CTR, CPA, or ROAS (if you have revenue).
  • Use formulas like =Clicks/Impressions for CTR, =Spend/Conversions for CPA.
  • Double-check your math — I’ve seen platforms miscalculate these.

Pro tip: If your conversions seem way off, make sure the tracking pixel or integration was working during your date range. Otherwise, you’re analyzing fiction.

Step 9: Visualize (but don’t get fancy)

  • Line graphs are great for trends over time.
  • Bar charts for comparing campaigns or creatives.
  • Skip the pie charts — they’re almost always misleading.

Keep it simple. If you’re spending more time on the graph than the insights, you’re overthinking.

5. Common Pitfalls and How to Dodge Them

Let’s be honest: no export is ever perfect. Here’s what to watch out for:

  • Timezone mismatches: Alignedup data may be in UTC, but your business runs on EST (or wherever). Double-check before you freak out about “missing” data.
  • Duplicate campaigns or IDs: Sometimes old paused campaigns sneak into exports. Filter these out unless you’re analyzing historical performance.
  • Attribution confusion: Conversions might be last-click, first-click, or some weird hybrid. Know what Alignedup counts as a “conversion” — check your setup.
  • Data lag: Today’s numbers are almost always incomplete. Don’t analyze the current day.

6. What About APIs and Automation?

If you’re tired of manual exports, Alignedup claims to offer an API. In reality, it’s limited and can be finicky:

  • You’ll need a developer (or at least know your way around Postman).
  • Documentation is spotty. Be prepared to troubleshoot.
  • Sometimes API and CSV exports don’t match (yes, really).

For most people, sticking to scheduled CSV exports is less hassle. If you’re running dozens of campaigns or need daily updates, then it’s worth exploring — otherwise, don’t bother.

7. Benchmarks: How to Tell If It’s “Good” or “Bad”

Don’t get hung up on industry averages you find online. Every business, audience, and creative is different. Here’s what actually matters:

  • Compare to your own past campaigns. Are you doing better than last month?
  • Look for big swings. Did a creative tank your CTR? Did spend spike with no conversions?
  • Set realistic goals. If your CPA is $20 and your product sells for $19, you’ve got a problem — no matter what the “average” is.

Ignore anyone promising secret benchmarks unless they know your exact business.

8. What to Do Next (and What to Skip)

  • Act on the trends you find. If a campaign’s not working, pause it. If a creative’s killing it, double down.
  • Don’t chase every small uptick or dip. Focus on real, sustained changes.
  • Update your spreadsheet every week or month. Don’t overanalyze daily — it’ll drive you nuts.

Keep It Simple, Iterate Often

Exporting and analyzing data from Alignedup isn’t rocket science, but it’s easy to get bogged down. Focus on the basics, trust your own numbers (not just what the platform tells you), and don’t get distracted by every shiny metric. Keep your process simple, check your work, and tweak as you go. That’s how you actually improve campaigns — not by staring at dashboards, but by knowing your own numbers inside and out.